Abstract
This article presents a review of previous studies on the impacts of climate change and the operation of dam reservoirs on the characteristics of river ice cover. Based on a review of the existing literature, the spatial and temporal variability of trends in individual river ice cover conditions and their relationship to both climate change and the operation of dam reservoirs is explored. From this analysis, climate change is identified as the main determinant of the river ice cover disturbances observed since the start of the twentieth century. The study found that in the twentieth century, climate change contributed to a decrease in the duration of ice cover on rivers. The shortening of ice cover duration occurs primarily through earlier breakup rather than later formation. The trends in ice cover freeze-up and breakup are less spatially variable across Eurasia than in North America. The analysis indicates that dam reservoirs can exert a significant control on the spatiotemporal distribution of ice cover occurrence on rivers, even on a global scale. The first quantitative estimate of the number of dam reservoirs in river ice cover areas was also presented based on climatological and reservoir location data. The obtained results highlight the need to research river ice cover changes based on remote sensing data; such studies will make it possible to recognize the temporal–spatial distribution of trends in river ice cover parameters and the strength and extent of the influence of dam reservoirs.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Ice cover is a phenomenon observed on more than half of Earth's rivers (Fig. 1; Bennett and Prowse 2010; Yang et al. 2020). As defined by the International Association for Hydraulic Research, ice cover is "a significant expanse of ice of any possible form on the surface of a body of water" (IAHR 1980). It is estimated that river ice periodically occupies an area of around 120,000 km2 and a volume of up to 140 km3 (Brooks et al. 2013). Its freeze-up and breakup is closely linked to the timing of the 0 °C isotherm (Fig. 1; Bennett and Prowse 2010).
Ice cover occurrence exerts a major impact on the course of hydrological and geomorphological processes within rivers and their channels (Prowse 2001; Thellman et al. 2021). Ice covers change the velocity and dynamics of water flow by physically altering the cross-section of the riverbed (as part of the cross-section is taken up by ice) and increasing turbulent water flow (Thellman et al. 2021). In extreme temperatures, small rivers and streams can freeze completely (Prowse 2001). The presence of ice also reduces the amount of solar radiation reaching the water (Thellman et al. 2021). This effect is controlled by the thickness and type of ice and can reduce the solar radiation input to the water by up to 95% when there is fresh snow on the ice (Prowse 2001). Changes in light availability directly affect the river's thermal characteristics, causing a decrease in the water temperature under the ice (Beltaos and Burrell 2006). The presence of ice also controls the oxygenation of river waters by blocking gas exchange between the water and the atmosphere (Prowse 2001). This effect is particularly important in areas with persistent ice cover during several months of the year.
Ice cover-induced changes in water flow patterns within the channel affect the river’s ability to transport suspended and trailing material. Studies have shown that ice-covered rivers have lower transport capacity compared to rivers without ice cover due to the fact that ice affects flow dynamics (Sayre and Song 1979; Knack and Shen 2018). Ice cover also plays an important role in erosion and deposition processes: some studies have shown that mobile ice from ice cover breakup significantly increases lateral erosion in the river channel (Martinson 1980; Chassiot et al. 2020).
The occurrence of river ice cover also affects biotic elements of the surrounding natural environment. Most previous studies have investigated the impacts of river ice on fish habitats (e.g., Bodensteiner and Lewis 1992; Cunjak 1996; Cunjak et al. 1998; Huusko et al. 2007; Heggenes et al. 2018; Andrews et al. 2019). The presence of ice is an important factor influencing fish winter habitat choices (Cunjak et al. 1998; Huusko et al. 2007). Extensive ice within the channel can also affect food availability by reducing the ability of organisms to migrate (Thellman et al. 2021). The presence of ice within the channel is also important for invertebrates; for example, as identified by Bogatov and Astakhov (2011), the presence of ice affects the migration of mayfly nymphs (Ephemeroptera).
In the last 30 years, ice cover duration on rivers has declined globally (Newton and Mullan 2020; Yang et al. 2020). On many of the world's rivers, later freeze-up and earlier breakup are recorded, which translate to shorter ice cover duration (Janowicz 2010; Helama et al. 2013; Shiklomanov and Lammers 2014; Takács and Kern 2015; Ionita et al. 2018; Rokaya et al. 2019; Newton and Mullan 2020; Yang et al. 2020). In addition, a decrease in ice cover thickness has been observed (Vuglinsky 2017; Vuglinsky and Valatin 2018; Nalbant and Sharma 2022). The vast majority of the cited studies highlight global warming as the main reason for the observed changes in the ice regime of rivers. In some studies, temporal and spatial changes in river ice formation are explained solely by the climate factor, while other potential factors are ignored. This approach seems wrong given that the freeze-up process is complex and influenced by many factors in addition to climatic and meteorological conditions. These factors include the riverbed morphology, the volume and pattern of water flow, water supply mechanism, the presence of vegetation around the riverbed, the land cover around the river, thermal pollution, and the presence of hydraulic structures. While climatic factors may exert the strongest control on ice cover formation on large rivers, other factors may also play an essential role on medium and small rivers. As the majority of studies on ice cover formation disturbance to date have focused on large lowland rivers, the factors controlling ice cover formation on medium and small rivers are not fully understood (Thellman et al. 2021).
An additional element that can specifically affect ice cover formation is the presence of reservoirs. The operation of these facilities alters the natural thermal regime of the river downstream of the dam by releasing bottom water (warmer in winter) from the reservoir (Olden and Naiman 2010; Kędra and Wiejaczka 2016; Maheu et al. 2016). Reservoirs also reshape the flow hydrograph of rivers downstream, which can affect the freezing and breakup process of the ice cover, act as a barrier to mobile ice from higher in the catchment, and reduce the amount of suspended sediment in the water which can be a source of nucleating particles (Tuthill 1999; Takács and Kern 2015). Consequently, dam reservoirs limit the occurrence of ice cover on the rivers below their location.
Currently, there is a lack of studies in the existing literature on the impact of reservoir operations on the formation of ice cover on rivers. The available studies usually deal with specific cases; thus, it is difficult to draw globally applicable conclusions from them. Therefore, the impact of the construction and operation of dam reservoirs on the occurrence of river ice cover at a global scale is currently not recognized.
Given these research gaps, this study reviews research regarding the impact of (i) observed climate change and (ii) the construction and operation of dam reservoirs on the occurrence of ice cover on Earth's rivers. The paper is limited to the analysis of the impact of dam reservoirs and climate change on ice cover parameters such as freeze-up, onset of breakup, duration, and thickness of the ice cover. The review mainly considered papers that analyzed the variability in these parameters based on long (> 1 year) measurement series. Despite the extensive number of papers cited, it is not possible to cover all aspects of the impact of dam reservoirs and climate change on river ice cover in a paper of this type. The paper lists articles where the reader can find detailed information on particular aspects of ice cover research. The results obtained were critically analyzed, and on this basis, limitations in the current understanding of the processes guiding the freeze-up, breakup, and duration of river ice cover were identified, and corresponding areas for future research were proposed.
Data and methods
The literature review in this study was based on online databases of scientific papers: Web of Science, Scopus, and Google Scholar. In the first stage of the literature review, an index of titles and abstracts of scientific articles was obtained, with studies on the impact of climate change and the operation of dam reservoirs on the occurrence of ice cover on rivers compiled separately. In terms of the impact of climate change, the database was searched using the following keywords: river ice, river ice cover, river ice phenology, frazil ice, ice floe, river ice breakup, river ice freeze-up, river ice duration, river ice processes, climate change, and global warming. In terms of the impact of dam reservoir operations on river ice cover, the database was searched using the following keywords: dam reservoir, river ice cover, river ice hydropower plant, ice in regulated rivers, flow control river ice, river ice phenology, and river water temperature. In addition, databases were searched for the use of remote sensing data in river ice cover studies. Articles were searched based the following keywords: river ice, remote sensing, SAR, radar, optical, multispectral, Landsat, Sentinel, Radarsat, TerraSAR-X.
In the second stage, the resulting article databases were manually filtered. This step involved rejecting all papers that
-
(a)
were not thematically related to the impact of climate change, or the operation of dam reservoirs on river ice cover, and
-
(b)
were in a language other than English.
The two article databases were reduced based on the titles and abstracts of papers. The research in the resulting filtered databases was then reviewed, the results of which are described in the third and fourth sections. On the basis of the data extracted from the articles, such characteristics as timing of freeze-up and the onset of breakup, duration, thickness, and volume of the ice cover in the study areas were collected.
In the next stage, the number and spatial occurrence of dam reservoirs in areas of periodic ice cover on rivers were analyzed. Dam reservoir locations were obtained from the GeoDAR [Georeferenced global Dams And Reservoirs] database, which is currently the most complete database of its kind, containing details of the locations of 24,783 dam reservoirs (Wang et al. 2022; Zenodo repository: https://zenodo.org/record/6163413). The main concept behind the creation of this database was to geolocate dams and reservoirs that are also included in the World Register of Dams (WDR) maintained by the International Commission on Large Dams (ICOLD). The WDR is a registry listing dams that are 15 m or taller from the lowest foundation to the top or dams between 5 and 15 m tall that retain more than 3 million cubic meters of water (ICOLD). The GeoDAR database contains around 40% of the records also listed in the WDR (the WDR contains more than 58,000 dams); however, these records correspond to 90% of the total reservoir area, catchment area, and capacity and therefore represent the most complete dataset on the location of large dam reservoirs (Wang et al. 2022). A detailed technical characterization of the GeoDAR database can be found in Wang et al. (2022).
Data concerning the exact construction dates of dam reservoirs were obtained from the GRanD database (Lehner et al. 2011; Zenodo repository: https://zenodo.org/record/6163413), which contains both location data and construction dates for dam reservoirs. To determine areas of periodic ice cover on rivers, data on the average temperature of individual months for the 1970–2000 period were used, derived from the WorldClim version 2.1 database (Fick and Hijmans 2017). This database provides high-resolution climatic and meteorological data for land areas on a global scale. In this database, the average air temperatures of multi-year months were determined by interpolating measurement data from 20,268 climatological stations onto a grid. The detailed technical specification of the database can be found in Fick and Hijmans (2017). The data were acquired as a raster grid with a resolution of 2.5′. The methodology developed by Bennett and Prowse (2010) was used to determine the areas in which ice cover periodically occurs on rivers. It was assumed that the occurrence of ice cover on rivers corresponds to trends of the 0 °C isotherm, and in areas where the average temperature of the period was less than 0 °C, there is a possibility of ice cover formation. These assumptions are consistent with the state of current knowledge and practices of modeling ice phenomena on rivers (Bennett and Prowse 2010; Yang et al. 2020). Thus, using data extracted from the WorldClim database, areas were determined in which the average air temperature for the 1970–2000 multi-year period was below 0 °C (database repository: https://www.worldclim.org/data/worldclim21.html). This analysis was performed for three distinct periods: January, the Northern Hemisphere winter period (October to March), and the average temperature for the entire year. Assuming an even temperature distribution during these periods, they can be assumed to correspond to 0.5-, 3- and 6-month periods, respectively, with temperatures below 0 °C. According to the nomenclature introduced by Bennett and Prowse (2010), the areas corresponding to these periods were assigned the designations I0.5, I3, and I6, respectively. For each of these areas, the number of functioning dam reservoirs was determined based on the GeoDAR and GRanD databases (Fig. 2). Based on the obtained data, maps of the spatial distribution of reservoirs in the areas of ice cover occurrence were plotted, and statistics regarding their distribution were calculated. The resulting data allowed the spatial distribution of changes in river ice cover occurrence and the distribution of reservoirs to be compared. Additionally, as a specific example, 10-m near-infrared imagery from the Sentinel-2 L1C satellite was used to visualize the impact of the W.A.C. Bennet Dam and Williston Reservoir on ice cover occurrence on the Peace River.
The impact of climate change on river ice cover
The impact of climate change on ice cover occurrence on rivers worldwide is due to the natural relationship between heat fluxes and water temperature. The annual variation in air temperature is one of the primary factors affecting heat exchange conditions at the boundaries between water, ice, and the atmosphere, and consequently the heat balance of the water surface and ice (Shen 2010). Detailed descriptions of the physical processes leading to the thermal growth, persistence, and breakup of river ice can be found in the studies of Lal and Shen (1993), Prowse et al. (2007), Beltaos and Prowse (2008), Shen (2010), and Ashton (2011). Due to the interconnectedness of these environmental elements, the currently observed increase in global air temperature affects all riverine ice processes (Fox-Kemper et al. 2021; Shen 2016).
Over large areas of the northern part of North America (regional breakdown in the following description of air temperature trends according to the Intergovernmental Panel on Climate Change (IPCC) atlas; Gutiérrez et al. 2021, accessed June 26, 2023), in the October to March period, a significant increase in mean air temperature ranging between 0.3 and 0.43 °C per decade was observed between 1980 and 2015, depending on the database used (Rohde et al. 2013; Harris et al. 2020; Gutiérrez et al. 2021; Morice et al. 2021; Thornton et al. 2021). Most of the available data suggest that the temperature increase over this period occurred more rapidly in the northeast part of North America compared to the northwestern part. Over the period 1980–2015, the trend was significantly weaker or statistically insignificant over central North America and along the west coast, including considerable parts of the Rocky Mountains. In the area of central, eastern, northern, and western Europe, in the October to March period, a significant increase in the mean air temperature ranging between 0.4 and 0.49 °C per decade was observed over the period 1980–2015, depending on the database used (Rohde et al. 2013; Harris et al. 2020; Gutiérrez et al. 2021; Morice et al. 2021; Cornes et al. 2018). The strongest trend was observed in the Fennoscandian Peninsula area. Within Asia, the strongest trend was observed in the Russian Arctic. Over the period 1980–2015, the increase in mean air temperature (October–March) ranged from 0.38 to 0.43 °C per decade depending on the database used. Significant trends were also recorded in central and eastern Asia and the Tibetan Plateau where the increase in mean air temperature over the same period was in the range of 0.27–0.39 °C depending on the database used (Rohde et al. 2013; Harris et al. 2020; Gutiérrez et al. 2021; Morice et al. 2021; Yatagai et al. 2023).
The relationship between variations in climatic parameters and the occurrence of ice cover on rivers has been studied extensively, particularly over the past 20 years. Magnuson et al. (2000) use data from a number of locations (rivers and lakes) to show that since 1850, ice breakup (on rivers and lakes) has been occurring later by about 0.6 days per decade, corresponding to an increase in mean air temperature of 0.12 °C per decade (Magnuson et al. 2000; Prowse and Bonsal 2004). Beltaos (2003) examined the Miramichi River in Canada and showed that the observed trend for earlier ice cover breakup is consistent with higher winter and early spring flows and increasing spring temperatures. Prowse et al. (2002), based on the analysis of the 0 °C spring isotherm, showed a significant relationship between its pattern and river ice cover breakup in Canada. Beltaos et al. (2006a, b) showed that mid-winter thaw plays an important role in ice regime changes, including the incidence of ice jams on the Peace River. In addition to local climate, large-scale climatic factors also influence river ice processes. Bieniek et al. (2011) showed that variations in the phases of the El Niño–Southern Oscillation (ENSO) influence ice breakup on Alaskan rivers. During the warm phase of ENSO, there has been an increase in air temperature during spring in Alaska, causing an earlier breakup of the ice cover (Bieniek et al. 2011). Weyhenmeyer et al. (2011) showed that in the Northern Hemisphere, areas where the temperature only periodically drops below 0 °C are most susceptible to interannual changes in the timing of ice formation and disappearance. Significant results were presented by Lesack et al. (2014) showing that the observed earlier breakup of the Mackenzie River delta ice cover is attributable to increased air temperature during spring, but is not influenced by warmer winter and changes in river runoff, which may suggest a key role of spring temperature changes. The main characteristics of ice cover studied in the context of the effects of climate warming include its seasonal duration (usually described by the number of days with ice per year), the date of freeze-up, the date of breakup, and the thickness of the ice cover.
Ice timing trends
Freeze-up The term freeze-up generally refers to the formation of stable ice cover on the surface of a river (Shen 2016). The date of onset of freeze-up is related to the water reaching the freezing point, which depends on the heat flux at the water–air interface (Beltaos and Prowse 2008). Table 1 shows the results of studies on ice cover freeze-up trends on the world's rivers. The longest series of measurements dates to the first half of the nineteenth century (Rannie 1983; Magnuson et al. 2000; Ionita et al. 2018). Across North America, freeze-up trends are both temporally and spatially complex. On a local level, trends observed at individual water gauge stations indicate both later and earlier ice cover formation in the twentieth and twenty-first centuries. For example, trends indicating later freeze-up were observed in northwestern Canada (Yukon River), Atlantic coastal rivers in the state of Maine, USA, on the Red River in the province of Manitoba, Canada, and on the Canada’s MacKenzie River, among others. In these areas, later ice cover formation was observed at rates between 0.61 and 3.2 days/decade (Rannie 1983; Magnuson et al. 2000; Dudley and Hodgkins 2002; Janowicz 2010). In contrast, earlier ice cover freeze-up trends have been recorded at stations across Canada, particularly on the west coast (Zhang et al. 2001). In the Athabasca River basin, earlier freeze-up of 0.5–5 days per decade has been reported (Rokaya et al. 2019).
Based on data from 41 water gauge stations across Canada for the period 1950–1998, Lacroix et al. (2005) noted 15 stations at which ice cover formed earlier and 22 stations at which formation occurred later. Taking the entire Canadian area into account, ice cover formation was estimated to occur on average 0.3 days later per decade (Lacroix et al. 2005). Spatial heterogeneity in freeze-up trends across North America was confirmed by modeling results (Park et al. 2016). Based on these results, later river ice cover formation was found to dominate in the northeastern part of North America in the 1979–2009 period, whereas earlier formation was found to dominate in the west of the continent, mainly in the Rocky Mountains. Based on this model, ice cover freeze-up in the Arctic area of North America during this period was estimated to occur on average 1 day later per decade (Park et al. 2016).
Across Eurasia, river freezing trends are likely to be less spatially variable: most of the area exhibits later ice formation in the second half of the twentieth century and the twenty-first century. In Eastern and Central Asia, the freeze-up was later by 0.2–5.7 days per decade. Based on measurements from 67 measuring stations, ice cover formation occurred in the Transbaikalian area 1 day later per decade (Obyazov and Smakhtin 2014). The largest changes were observed on the Yellow River, where from the late 1960s to the start of the twenty-first century, freeze-up at two stations occurred later by 4.2 and 5.7 days per decade (Jiang et al. 2008). In northern Mongolia, from the mid-1950s to the end of the twentieth century, ice cover formed later by 2 to 30 days (Punsalmaa et al. 2004). In the Eurasian Arctic, freeze-up studies focus mainly on the largest rivers flowing into the Arctic Ocean. Analyses based on measurement series from large Arctic rivers from 1917 to 1994 have shown mixed trends (Smith 2000). Earlier ice cover formation (from 0.8 to 3.2 days per decade) was observed on rivers of northwestern Eurasia (Onega, Varzuga, Mezen, and Yenisei), while later formation rates (0.5 and 0.6 days per decade) were observed on Siberia’s Indigirka and Kolyma rivers (Smith 2000).
Shiklomanov and Lammers (2014) showed later ice cover freeze-up by 0.8–2.6 days per decade on four Arctic rivers (Ob, Lena, Jana, and Kolyma) during 1955–2012. In the European area, ice cover formation delays were recorded, among other areas, in the Danube and Oder (Central Europe) catchments and on parts of the Fennoscandian Peninsula rivers (Gebre and Alfredsen 2011; Takács and Kern 2015; Ionita et al. 2018; Marszelewski and Pawłowski 2019). In the lower reaches of the Drava River (northeastern Croatia), freeze-up occurred later by 0.4–3.3 days per decade during the period 1875–2014 (Takács and Kern 2015). In the lower reaches of the Danube River in the period 1837–2016, later ice formation of 2.8 days per decade was recorded; as a result, by the middle of the twentieth century, ice cover had stopped forming there, despite previously being present almost every year since the first half of the nineteenth century (Ionita et al. 2018). On the Oder River (Polish–German border) in the period 1956–2015, ice cover freeze-up occurred later by 0.8–2.7 days per decade (Marszelewski and Pawłowski 2019). Ambiguous results were obtained for rivers in the western part of the Fennoscandian Peninsula. Of the 11 measuring stations, five recorded later ice formation (two of which were statistically significant), whereas six recorded earlier ice formation (one of which was statistically significant; Gebre and Alfredsen 2011).
The researchers recorded both earlier (trends reaching almost 5 days/decade, Burn and Elnur 2001; Smith 2000; Gebre and Alfredsen 2011; Rokaya et al. 2019) and later ice cover formation (reaching 11.1 days/decade, Rannie 1983; Magnuson et al. 2000; Smith 2000; Burn and Elnur;2001; Dudley and Hodgkins 2002; Punsalmaa et al. 2004; Lacroix et al. 2005; Jiang et al. 2008; Janowicz 2010; Gebre and Alfredsen 2011; Obyazov and Smakhtin 2014; Shiklomanov and Lammers 2014; Takács and Kern 2015; Takács et al. 2018; Marszelewski and Pawlowski 2019; Podkowa et al. 2023). However, later ice cover formation was observed in the vast majority of the studied areas and, based on the works cited, it can be concluded that this is a dominant trend globally. Opposing trends were recorded, among others, in Asia and western part of North America (Athabasca River catchment). The largest trends for later ice cover formation were recorded in Norway on the Beiraelva River (11.1 days/decade, Gebre and Alfredsen 2011) and in China on the Yellow River (5.7 days/decade, Jiang et al. 2008).
Breakup The ice cover breakup process is divided into two distinct modes: thermal breakup and mechanical breakup. Mechanical breakup is facilitated by low water levels during ice formation and high snow cover in the catchment resulting in high river water levels during breakup (Beltaos 2003). In contrast, thermal breakup is favored by low snowpack thicknesses or delayed snowmelt, which is associated with small river flow volume changes and a gradual increase in air temperature allowing gradual melting of the ice cover (Beltaos 2003; Cooley and Pavelsky 2016). Consequently, the main factor determining the type of ice cover breakup is the water level in the river. It has been shown that site-specific increases in river water level above the level at which the ice cover formed mark a transition from thermal to mechanical breakup (Beltaos 2003). Since the beginning of the twentieth century, earlier river ice cover breakup has been recorded on a global scale. The most important studies of river ice cover breakup trends are presented in Table 2. The longest series of measurements analyzing ice cover breakup trends date back to the eighteenth and early nineteenth centuries, but most works are limited to the twentieth and twenty-first centuries. Based on the results of the studies collected in the review, it was estimated that since the nineteenth century, ice cover breakup has occurred on average 1.2 days per decade earlier in the areas studied.
North American areas generally record earlier spring breakup of river ice cover, but the trends are spatially complex. In some areas, they are mixed, with delays in breakup also recorded at individual stations (Williams 1970; Rannie 1983; Magnuson et al. 2000; Zhang et al. 2001; Lacroix et al. 2005; Rham et al. 2008; Chen and She 2020). Earlier ice cover breakup occurs in central and western Canada (e.g., Nelson River Basin), and in the Arctic (Zhang et al. 2001; Lacroix et al. 2005; Chen and She 2020). This trend occurred in these areas during the twentieth century and intensified during the twenty-first century (Janowicz 2010). Trends indicating later breakup, or no trend, have been recorded mainly in the eastern part of the continent (Atlantic Canada) and locally in the west (e.g., Athabaska River basin; Zhang et al. 2001; Rokaya et al. 2019; Chen and She 2020).
These trends are partially confirmed by modeling results, which indicate that river ice cover breakup occurs as much as 6 days per decade earlier in central and northeastern Canada, but later in the Labrador Peninsula and the Rocky Mountains (Park et al. 2016). However, despite the observed spatial heterogeneity in these trends, at a North American scale, breakup occurs on average earlier by an estimated 0.7 days per decade in the Arctic and 1.6 days per decade in Canada, as indicated by studies based on in situ observations and modeling results (Lacroix et al. 2005; Park et al. 2016). In the Eurasian area, ice cover breakup trends tend to be less spatially variable. On most rivers in this area, earlier ice cover breakup at rates of up to several days per decade has been recorded (Magnuson et al. 2000; Cooley and Pavelsky 2016; Newton and Mullan 2020). In Asia, these trends occur in the Arctic, Transbaikal, northern Mongolia, and China (Smith 2000; Punsalmaa et al. 2004; Jiang et al. 2008; Shiklomanov and Lammers 2014). On Asia’s large rivers (e.g., Lena, Ob, and Yenisei), trends have varied along the rivers longitudinal profiles since the beginning of the twenty-first century. On the Yenisei and the Lena, the magnitude of the trends increases upstream, whereas on the Ob, earlier ice cover breakup occurs only in the middle reaches of the river (Cooley and Pavelsky 2016). Within Europe, earlier ice cover breakup has been recorded on rivers of the Fennoscandian Peninsula, central Europe, and Eastern Europe (Klavins et al. 2009; Frolova et al. 2011; Gebre and Alfredsen 2011; Takács and Kern 2015; Sharma et al. 2016; Ionita et al. 2018; Marszelewski and Pawłowski 2019; Newton and Mullan 2020). These trends in most areas of Europe and Asia are confirmed by modeling results, which found that the breakup of ice cover on rivers of the Eurasian Arctic in the period 1979–2009 occurred 2.3 days earlier per decade (Park et al. 2016).
Earlier breakup of ice cover reaching up to 12.5 days/decade was recorded in the vast majority of the study areas. The largest shift was recorded in the period 2000–2014 for some sections of the Yenisey, Ob, and Lena rivers (Cooley and Pavelsky 2016). No changes were recorded only for the Athabasca River catchment (Rokaya et al. 2019). On the basis of the cited works, it can be concluded that this is a global trend, as evidenced by the consistent direction of change towards earlier breakup in all the studied areas.
River ice duration
Due to changes in freeze-up and breakup dates, the ice cover duration on most of the world's rivers has decreased. This trend has been recorded since the beginning of the twentieth century and has intensified since the beginning of the twenty-first century (Magnusson et al. 2000; Newton and Mullan 2020). The trend in ice cover duration decline ranges from less than 1 day to as many as a 11.5 days per decade and varies spatially (Fig. 3; Jiang et al. 2008).
In North America, decreasing ice cover duration has been recorded in the northeastern part of the United States (New England) and the southern and southwestern parts of Canada, among others (Rannie 1983; Burn and Elnur 2001; Dudley and Hodgkins 2002; Hodgkins et al. 2005; Janowicz 2010). In some areas, the opposite trend (increased ice cover duration) was recorded; this occurred in the eastern part of Canada (Atlantic Canada) and the Athabasca River Basin (Zhang et al. 2001; Rokaya et al. 2019). Generally, a decrease in the duration of ice cover of approximately 1 to 11 days per decade has been recorded across Asia. The largest changes occurred on the Yellow River (Inner Mongolia), where in the period 1968–2001, ice cover duration reductions of 38 and 25 days were recorded at two stations, equivalent to 11.5 and 7.6 days per decade, respectively (Jiang et al. 2008). In the Transbaikalian area, an average ice cover duration decrease of 1.6 days per decade was recorded at 57 measurement stations in the period 1958–2007 (Obyazov and Smathkin 2014). Decreasing trends in the number of days with ice cover were also recorded in central and northern Siberia, reaching values of up to 7.4 days per decade at individual stations. In Western Siberia in the period 1955–2014, the average days with ice cover decreased by 7 days per decade (Shimlomanov and Lammers 2014; Vuglinsky 2017; Vuglinsy and Valatin 2018). Within Europe, a decrease in the number of days with ice cover was recorded in the Baltic region (2.8–6.3 days per decade), in addition to the Oder (average 4.6 days per decade), Danube (average 2.8–4.2 days per decade), and Drava (average 1.3 days per decade) river basins, among others (Klavins et al. 2009; Takács and Kern 2015; Takács et al. 2018; Ionita et al. 2018; Marszelewski and Pawłowski 2019). On many of the world's rivers, ice cover has stopped forming due to the rise of air temperatures in winter (Ionita et al. 2018). Based on satellite imagery analysis, Yang et al. (2020) compared the extent of river ice in the decades 1984–1994 and 2008–2018. They showed that the monthly decline in river ice extent globally (for rivers greater than 90 m wide) varied from 0.3 to 4.3 percentage points depending on the month. They recorded the largest declines over the studied period around the Tibetan Plateau, in Eastern Europe, and Alaska.
In the vast majority of the studied areas, a decrease in the duration of ice cover is observed, exceeding as many as 10 days/decade in some areas. Based on the trends in the duration and ice cover freeze-up and breakup, it can be concluded that this effect occurs due to later ice cover formation and earlier breakup. The consistent direction of these changes observed in many different locations on different continents justifies a conclusion that the decrease in ice cover duration is a global trend.
River ice thickness and volume
Due to the difficulty of measuring ice thickness on rivers, relatively few studies have analyzed its variability over time. Within North America, decreasing ice thickness has been recorded on the Peace River and the Piscataquis River in Maine, USA, among others (Huntington et al. 2003; Beltaos and Bonsal 2021; Imrit et al. 2022). On the Piscataquis River in the period 1912–2001, the rate of decrease in average ice thickness was estimated at 2.6 cm per decade (Huntington et al. 2003). Imrit et al. (2022) recorded a decrease in ice thickness ranging 1.3 to 5.3 cm per decade on four out of the five rivers studied in North America. In Asia, ice thickness studies have been conducted for rivers in the Arctic, Transbaikal, and Mongolia. In northern Mongolia, a decrease in the maximum ice cover thickness of 5–25 cm per decade was recorded (Punsalmaa 2004). Declining trends were also recorded on most rivers in Siberia where in the period 1980–2014, they averaged 3.5 cm per decade in Western Siberia and 3.6 cm in eastern Siberia (Vuglinsky 2017; Vuglinsky and Valatin 2018). The decreasing trend in maximum thickness also occurred on large rivers flowing into the Arctic Ocean (Ob, Yenisei, Lena, Jana, and Kolyma); in the period 1955–2012, the thickness decreases on these rivers ranged from 2.3 to 12.6 cm per decade (Shiklomanov and Lammers 2014). The Transbaikal area also recorded a decrease in the maximum thickness of ice cover on most of the studied rivers. In this area, at 25% of the water gauge stations, the decrease in thickness ranged from 2 to 6 cm per decade; at another 25%, it was more than 6 cm per decade (Obyazov and Smakhtin 2013). For the Arctic area, the decrease in the maximum thickness of river ice cover was investigated based on modeling results (Park et al. 2016). The downward thickness trend was estimated at an average decrease of 3 cm per decade in the Eurasian Arctic and an average decrease of 5 cm per decade in the North American Arctic. As a result of changes in the thickness and area occupied by the ice cover, the maximum volume of river ice is also changing. It is estimated to be periodically around 140 km3 globally (Brooks et al. 2013). Currently, there is a lack of research on temporal variations of river ice volume on a global scale, and available studies tend to focus on individual rivers. For example, Jiang et al. (2008) estimated that total annual ice volumes decreased by 40,000,000 m3 in the lower Yellow River between 1950 and 2001.
The impact of dam reservoir operations on river ice cover
The influence of dam reservoirs on the occurrence of river ice cover can be divided into indirect and direct effects. Indirectly, reservoirs influence river ice by modifying the conditions under which the ice cover freeze-up and breakup processes occur. This is due to the dams modifying the natural hydrological and thermal regimes of rivers, both on a daily and seasonal scale (Chien 1985; ICOLD 2022; Haghighi et al. 2014). The river ice freeze-up process depends directly on the river’s hydraulic conditions, which are modified by flow changes caused by the operation of dam reservoirs (Beltaos 2003; Carr et al. 2014). The operation of the dam may cause turbulent flow and increase the velocity of water in the riverbed, resulting in impeded ice formation. Changes in flow also determine the dates of breakup: by decreasing or increasing the spring flow volume, dam reservoirs can accelerate or delay the occurrence of mechanical breakup of the ice cover (Gerard 1989; Shen 2003; Huokuna et al. 2022). Another important factor is the fact that mobile ice flowing from the upper parts of the catchment is caught by the dam, remains in the reservoir, and does not participate in the development of a stable ice cover below the dam (Starosolszky 1990). The reservoir's uptake of suspended material, which plays an important role in the occurrence of phase transformation in the water and the formation of the ice cover, may also affect the development of the ice cover (Takács and Kern 2015). Dam reservoirs can also affect ice processes in sections above the facility because they act as a barrier to mobile ice and, once the reservoir freezes, upstream ice development occurs through impeded (or completely stopped) ice outflow below the reservoir (Gerard 1989).
Reservoirs can also directly affect ice cover occurrence by altering the natural thermals of rivers (Maheu et al. 2016; Sukhbaatar et al. 2020). Reservoirs tend to reduce the annual amplitude of water temperature fluctuations by cooling the water flowing out of the reservoir in summer and warming it in winter (Lehmkuhl 1972; Ashton 1979; Preece and Jones 2002; Olden and Naiman 2010; Maheu et al. 2016; Jiang et al. 2018). This effect is caused by thermal stratification in the reservoirs and the release of bottom hypolimnion waters. In the summer, water temperature in the reservoirs decreases with depth, while in the winter it increases up to 4 °C (at this temperature, water reaches its highest density). It occurs primarily in large dam reservoirs but also in medium-sized and small reservoirs in some instances (Soja and Wiejaczka 2014; Kędra and Wiejaczka 2016, 2018; Maheu et al. 2016; Wiejaczka and Wesoły 2017; Wiejaczka et al. 2018). This effect can influence the ice cover formation process by delaying the freezing point of water from being reached during ice formation seasons. In some cases, the water temperature can remain above zero throughout the entire winter period in the section below the dam so that ice cover will not form (Maheu et al. 2014; Huokuna et al. 2022). Similarly, this effect can influence the ice cover breakup process by accelerating spring thermal breakup and reducing the strength of the ice, resulting in greater susceptibility to mechanical breakup (Shen 2003; Cooley and Pavelsky 2016).
To date, the impact of reservoir operations on river ice cover has not been sufficiently studied. Most works focus on individual cases, and it is challenging to relate the results of these studies to the global scale of the phenomenon (Table 3). There are no publications in the literature that analyze the impact of dam reservoir operations based on a large number of cases that would allow for statistical analyzes. As a result, the average extent of the impact of dam reservoirs on the ice cover of rivers downstream of the dam and the number of river sections that are transformed by the reservoirs are unknown. It is also not entirely clear how the parameters of the dam and reservoir (e.g., dam height, reservoir volume, method of dam operation) influence the scale and extent of ice regime transformation of the rivers below.
Most of the research has focused on the impact of dam operations on the occurrence of ice cover on rivers in Europe and North America. Changes caused by the construction of the Włoclawek Dam reduced the duration by 26% for ice phenomena and 47% for ice cover (Pawłowski 2015). On the Raba River (Hungary), construction of the reservoir resulted in an average annual decrease of 8 days in the number of days with ice cover (Takács et al. 2013). A change in the natural ice regime was also recorded on the Danube (Hungary); the sharp decrease in ice cover frequency recorded in sections of the river has been shown to relate to the operation of hydroelectric power plants and the supply of wastewater to the river (Starosolszky 1990). On the Daugava River (Latvia), the construction of hydropower plants has generally resulted in later formation and earlier breakup of the ice cover, resulting in decreased ice cover duration by up to several tens of days (Apsîte et al. 2016).
Transformation of the ice regime of rivers due to the operation of dam reservoirs has also been recorded in Asia. On China’s Yellow River, the construction of dam reservoirs was shown to cause later freeze-up by an average of 14 days and earlier breakup by 21 days (Chang et al. 2016). The ice regime transformation also occurs for reservoirs of different sizes and damming levels. Maheu et al. (2016) showed that small reservoirs in eastern Canada reduced the frequency of ice cover on rivers at distances up to 2.5 km downstream of the reservoir.
One of the best studied rivers in terms of dam reservoir effects on ice processes is the Peace River in Canada (Gerard and Karpuk 1979; Andres 1994, Andres et al. 2003; Andres 1996; Beltaos et al. 2006b; Andrishak and Hicks 2008a, b; Beltaos et al. 2006a, b; She et al. 2012; Beltaos and Peters 2020; Emmer et al. 2021; Beltaos and Carter 2021). A large number of studies on the ice processes on this river are due to the occurrence of ice floods experienced by the Town of Peace River and other localities along the river's course (Emmer et al. 2021). Since 1968, the river has been regulated by the W.A.C. Bennett Dam and the resulting Williston Reservoir. A number of studies have shown that below the reservoir, ice cover does not form for several hundred kilometers (100–300 km), and throughout the river, ice processes are transformed by the operation of the reservoir (She et al. 2012). In the case of the Peace River, research has also been conducted on the impact of future potential climate change on the river ice regime transformed by Williston Reservoir (Andrishak and Hicks 2005, 2008b). The results suggest that future climate change will result in an increase in the section below the reservoir where ice cover does not form (Andrishak and Hicks 2005; Andrishak and Hicks 2008a, b; Jasek and Pryse-Phillips 2015).
A significant number of studies on the impact of reservoirs on river ice cover arise from the practical need to transform river ice conditions through various engineering practices (for example, controlling river flow). The main practices used to transform river ice cover in the context of dam reservoirs are reducing flow during the ice cover formation period to control the ice cover formation process, maintaining stable flow during the steady ice cover period, and controlling flow during the ice cover breakup period. A detailed description of engineering control of river ice phenomena with examples can be found in the works of Ashton (1986), Jain et al. (1993), and Tuthill (1999). Studies of this type provide a close and detailed description of the effects of dam reservoirs on river ice cover, but are usually based on short periods from which it is difficult to infer long-term effects on the river ice conditions.
There are indications that dam reservoirs in some areas exert a much greater influence on disturbances in ice cover formation than is currently recognized. First, the rapid increase in the number of large dam reservoirs globally coincides with a period of intensification of the trends observed in river ice cover. According to ICOLD data, from the 1950s to the beginning of the twenty-first century, around 50,000 large dam reservoirs were constructed globally (Fig. 4a). Although there is a lack of precise data concerning the growth of this value in areas with ice cover, an analysis based on the GRanD database confirms this trend (Fig. 4b; Lehner et al. 2011). ICOLD estimates that more than 58,000 large dam reservoirs had been constructed by 2022. An analysis based on the GeoDAR database showed that 8090 dam reservoirs are currently located in areas with periodic ice cover. Given the characteristics of this database, this value represents a significant underestimation. This is because this database contains only 40% of the results also listed in the World Register of Dams (Wang et al. 2022). Because the observed ice cover frequency decline has intensified in many areas since the mid-twentieth century, dam reservoirs can be assumed to be partially responsible for this effect. The significant importance of dam reservoirs in transforming the ice regime of rivers is also implied by their spatial distribution (Fig. 4d). As the analysis in this study showed (Fig. 4d), in the zone where ice cover formation conditions last for less than three months on average, most reservoirs are situated on rivers where ice cover forms periodically (7832 reservoirs according to the GeoDAR database). Additionally, these areas are where the most dynamic changes are observed in freeze-up and breakup dates and the duration of river ice cover. A comparison of the obtained spatial distribution of dams and the data presented by Yang et al. (2020) on the global decline in river ice extent in the period 1984–2018 indicates that areas with the greatest declines in ice area typically correspond to areas with numerous dams. These areas include Eastern Europe, Central Asia (around the Tibetan Plateau), and the central part of North America. The potential role of dam reservoirs in ice cover formation can also be inferred indirectly from studies of reservoir impacts on river thermals. A study of 112 dam reservoirs on four continents showed that 88% of them warm the downstream river by 1.5–5 °C (Ahmad et al. 2021). The analysis showed that about 70% of dams in areas where ice events periodically occur are below 50 m in height: this is significant because the warming effect is recorded for both large and small reservoirs (Maheu et al. 2016; Wiejaczka et al. 2018).
The extent of the impact of dam reservoirs on ice cover formation disturbance is not well estimated. Most studies indicate that its influence ranges from a few kilometers to tens of kilometers, but some studies suggest that its effects can reach distances up to several hundred kilometers (Lehmkuhl 1972; Andrishak and Hicks 2008a, b; Maheu et al. 2016; Chang et al. 2016). The significant role of dam reservoirs on ice formation is also evidenced by examples of the impact of dam removal. It has been shown that dam demolition can result in increased ice supply and increase the frequency and thickness of ice jams downstream (White and Moore 2002; Tuthill et al. 2007; Carr et al. 2011). This may also result in increased ice thickness due to an increase in mobile ice accumulation (White 2001).
Remote sensing in monitoring the impact of climate change and dam operations on river ice cover
Satellite remote sensing can be a particularly useful tool for analyzing the impact of dam reservoirs and climate change on river ice cover. This is due to the complex way in which these factors affect the temporal and spatial variability in ice cover characteristics. There is also the advantage of being able to analyze ice on rivers where there are no water gauge stations. Remote sensing techniques allow for the monitoring of changes in the extent of ice cover (and its parameters) over significant stretches of rivers, helping capture temporal trends more accurately. Remote sensing data are most commonly used to distinguish the spatial distribution of class types such as water, thermal ice, consolidated ice, and frazil ice (Mermoz et al. 2009; Duguay et al. 2015). Multispectral and radar (SAR) instruments are most commonly used to study spatial distribution of ice phenomena (Duguay et al. 2015). Both satellite- and airborne-derived imagery are used.
Ice cover detection from SAR data is possible due to the effect that ice cover has on the backscattering coefficient of the beam transmitted by the satellite. One of the greatest advantages of radar satellites is that they can monitor the presence of ice cover regardless of weather conditions and time of day. To study the characteristics of ice cover, the most commonly used imagery is that acquired by Radarsat-1, Radarsat-2, TerraSAR-X, and Sentinel-1 satellites. A considerable amount of research based on SAR data has been conducted on the ice cover of large rivers in northern and northwestern North America, such as, among others, Athabasca, Peace, and Slave (Leconte and Klassen 1991; Weber et al. 2003; Tracy and Steven 2003; Gauthier et al. 2006; Drouin et al. 2007; Van der Sanden et al. 2009; Mermoz et al. 2009; Unterschultz et al. 2009; Gauthier et al. 2010; Lindenschmidt et al. 2010; Van der Sanden and Drouin 2011; Jasek et al. 2013; Mermoz et al. 2013; Lindenschmidt and Chun 2014; Floyd et al. 2014; Das et al. 2015; Lindenschmidt and Li 2018; Li and Lindenschmidt 2018). Within Europe, river ice studies based on SAR data have been conducted on the Danube, Tisza, Nemunas, and Vistula rivers (Łoś and Pawłowski 2017; Stonevicius et al. 2022; val Leeuwen et al. 2022). Within Asia, similar studies have been conducted, among others, for rivers of the Tibetan Plateau and large rivers of Northern Asia (Melentyev et al. 2005; Sobiech and Dierking 2013; Zhang et al. 2022). Most river ice studies based on SAR data focus on monitoring and mapping the extent of different ice cover types over very short periods of time (usually based on single selected days) and their characteristics (mainly thickness). Relatively few works attempt to reconstruct the phenology of river ice phenomena over a long period of time and juxtapose the results with climatological parameters. Several authors attempted to monitor ice phenomena based on SAR data on river sections below large dam reservoirs (Weber et al. 2003; Gauthier et al. 2006; Jasek et al. 2013; Das et al. 2015; Lindenschmidt and Li 2018), but in most of such studies, the analyses were based on images from single days, during selected winter seasons.
When analyzing the phenology of ice phenomena, satellite optical imagery (mostly multispectral) was used much more frequently. Data acquired by Landsat, Terra, Aqua, and Sentinel-2 satellites were most commonly used to analyze the phenology of river ice phenomena. River ice studies based on this type of data have been conducted for rivers in North America, Europe, and Asia (Chaouch et al. 2014; Sakai et al. 2015; Cooley and Pavelsky 2016; Brown et al. 2018; Beaton et al. 2019; Li et al. 2021, 2023). Using Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, Cooley and Pavelsky (2016) presented a temporal spatial distribution of ice cover breakup trends using large Arctic rivers as an example. They showed that there was a significant trend for earlier ice cover breakup in significant sections of the rivers studied during the period 2000–2014. Brown et al. (2018) used Landsat constellation satellite data and found a significant lag (1–2.1 days per decade) in the dates of ice cover formation in 40% of the study sites in Alaska during the years 1972–2016. Li et al. (2020) utilized Landsat imagery to show that river ice area decreased by an average of 0.26 km2 each year during the period 1999–2018 (Babao River, Tibetan Plateau). Of particular importance in recognizing the impact of climate change on river ice cover is the study by Yang et al. (2020). They analyzed more than 400,000 images from the Landsat satellite constellation over the period 1984–2018. They showed that globally, for all rivers wider than 90 m, the extent of ice cover is decreasing, with an average decrease in ice cover duration of 6.10 ± 0.08 days per 1 °C increase in global mean air temperature. During the study period, they observed the most considerable changes in Alaska, Central Europe, and around the Tibetan Plateau. The impact of dam reservoirs on river ice cover was also analyzed using multispectral data. Vyshnevskyi (2020) analyzed the impact of the Kiev hydroelectric power plant on the thermal and ice regime of the Dnieper River. He showed that, as a result of climate change and the operation of the hydropower plant, the ice regime of the Dnieper at Kiev has become unstable. However, the paper did not conclude how much of the observed changes were due to the operation of the dam and how much to climate change, and the work was limited to selected periods after the construction of the reservoir.
Other types of remote sensing data (panchromatic, altimetry, passive microwave) are also used in river ice cover studies. An example is the research conducted by Podkowa et al. (2023) on the ice cover of large Arctic rivers. On the basis of data acquired from the Soil Moisture and Ocean Salinity (SMOS) satellite constellation, they showed that in the years 2010–2020, ice formation in the studied rivers occurred on average 2.2 days later and breakup occurred on average 0.6 earlier, resulting in a 3.4-day decrease in ice duration over this period.
Discussion
Based on the literature review presented above, it can be concluded that the factors controlling the ice processes on Earth's rivers are currently relatively poorly understood. Despite the crucial role played by river ice cover in the natural environment and on human activity, few studies have investigated this aspect compared to other elements of the Earth's cryosphere (Jeffries et al. 2012). This problem was highlighted by Morsem and Hicks (2005) who emphasized that the scientific community's interest in river ice cover research has gradually increased. Although several significant papers have been published in this area since the publication of their article in 2003, the scientific community's awareness of river ice research nonetheless seemingly remains too low. This is evidenced by the fact that river ice topics were not addressed in the cryosphere chapter (chapter 9) of the first part of the IPCC (Physical Science Basis, Fox-Kemper et al. 2021; Caretta et al. 2022), even though its role in global greenhouse gas exchange between rivers and the atmosphere has been demonstrated (Raymond et al. 2013). Of the two factors that affect ice cover analyzed in this study, the impact of climate change is far better recognized.
The studies presented in this paper provide evidence that increasing global air temperatures represent a major factor that has influenced changes in river ice regimes since the first half of the twentieth century. This is evidenced by the relationship between the observed temporal–spatial patterns of changes in river ice phenology and thickness and their link to climate warming (Beltaos and Prowse 2008). An example of this is larger decrease in ice cover duration in the northeastern part of North America as compared to the northwestern part, probably related to the stronger increasing trend in winter mean air temperature there over the period 1980–2015 (Park et al. 2016; Gutiérrez et al. 2021). The key role of the climate factor is indicated by the more consistent and stronger trend in ice cover breakup than in freeze-up observed in most of the studied areas. This pattern is most likely due to the greater role of non-climatic factors in the ice cover formation process, such as the shape of the riverbed, and the strong relationship between ice breakup and the 0 °C isotherm (Lacroix et al. 2005; Bennett and Prowse 2010; Thellman et al. 2021). Consequently, ice cover duration on rivers decreases due to increasing air temperature, primarily due to earlier breakup rather than later freeze-up. Yang et al. (2020) estimated that globally, the seasonal duration of ice cover shortens by an average of 6.1 ± 0.08 days for every 1 °C increase in global air temperature. Changes in river ice cover parameters are consistent with observed trends in changes in other elements of the terrestrial cryosphere. During the period 1981–2018, a global decrease in snowpack mass was observed, estimated at 5 Gt per year (Mudryk et al. 2020; Fox-Kemper et al. 2021). Changes in the area and mass of snow cover are directly related to the occurrence of ice cover by changing river flow conditions. Increases in spring air temperatures, precipitation, and intensification of the hydrological cycle at high latitudes can lead to earlier snowmelt occurrence and the formation of surges that initiate earlier mechanical breakup of river ice cover (Prowse et al. 2007; Brown and Mote 2009; Déry et al. 2009; Prowse et al. 2010; Rawlins et al. 2010; Cooley and Pavelsky 2016). Increasing air temperatures in temperate climate zones result in multiple freeze-ups and breakups during a single season; this effect has been recorded in areas in which there was stable ice cover for several months annually in the nineteenth century. In extreme cases, there is a complete cessation of ice cover formation, which is often strongly correlated with increases in the average winter air temperature (Ionita et al. 2018). An issue that is not fully recognized is the impact of climate change on the occurrence of ice cover on small mountain and upland rivers because the vast majority of studies investigate large and medium lowland rivers, for which long measurement series are available. The spatial distribution of trends in ice cover characteristics is also insufficiently characterized. Most studies use data from measuring stations, which can be analyzed point-wise and reflect local environmental conditions. However, interpolating measured parameters across broader areas is subject to considerable uncertainty.
The impact of dam reservoirs on the occurrence of river ice cover is currently not sufficiently recognized due to the small number of studies based on long measurement series, the lack of methods to separate the impact of climate change and dam reservoirs, and the small number of studies based on satellite remote sensing methods. The research results presented in this review suggest that at the local scale, dam reservoirs can fundamentally affect river ice in sections up to several tens of kilometers downstream. Some studies also suggest the influence of dam reservoirs at a regional scale. For example, a study of the Longyangxia and Liujiaxia reservoirs on the Yellow River in China showed that they influenced the occurrence of ice cover more than 1000 km below the reservoir (Chang et al. 2016). One of the main problems in assessing the impact of dam reservoirs on river ice cover is the difficulty involved in decoupling their influence from that of increasing air temperatures. The presence of dam reservoirs along a certain stretch of river amplifies trends resulting from climatic variability, making it impossible to assess their impacts quantitatively and qualitatively. Chang et al. (2016) presented a method for separating the impact of reservoirs and climate change, but it has significant limitations, and applying it to other examples may be challenging. The current lack of studies based on remote sensing data also represents a key problem. Most studies are based on data from water gauge stations, making it much more difficult to assess the extent of reservoir impacts. In addition, some of the studies investigating the impact of climate change on ice conditions fail to consider the possible impacts of dam reservoirs. In some cases, authors analyze the relationship between air temperature variability and ice phenomena but disregard the fact that some of the measurement stations selected for analysis are located below large dam reservoirs, which may have a significant impact. This approach may lead to inaccurate assessment of the relationship between air temperature variability and the occurrence of ice phenomena and, thus, erroneous conclusions.
Currently, there is a lack of systematic studies in the literature on the impact of dam reservoirs on ice cover occurrence based on satellite remote sensing data. This results in poor recognition of the temporal and spatial distribution of trends in ice cover parameters below dam reservoirs and the extent of their influence. This is a significant problem given that satellite observations confirm the important role of some large reservoirs on river ice cover. An example is the impact of the operation of Williston Reservoir on ice cover occurrence on the Peace River (Fig. 5).
During the period presented (February 8–12, 2017), there was no ice cover on the river below the reservoir for 360 km even though all its tributaries and the reservoir were covered with ice. This is most likely the result of deliberate flow control by the W.A.C. Bennet dam aimed at reducing the likelihood of ice jamming downstream, thereby transforming the river's water thermals (Weber et al. 2003; Rokaya et al. 2017). Due to the potential scale of impacts from this reservoir type, they cannot be fully assessed based on data from water gauge stations. To accurately recognize this effect and statistically analyze the magnitude and extent of reservoir impacts on river ice cover, it is essential to conduct studies based on remote sensing data in areas of river ice cover for multiple reservoirs and different climatic zones.
Conclusions
This paper presents a review of studies on the impacts of climate change and the operation of dam reservoirs on river ice cover occurrence. Data on average air temperature and the distribution of dam reservoirs were also analyzed to estimate the number of reservoirs in areas where ice cover periodically occurs. The results obtained from the review and data analysis can be summarized as follows:
-
1.
Trends in the dates of freeze-up are not clear. Most studies indicate later freeze-up in the twentieth and twenty-first centuries, but contradictory trends of earlier formation have been recorded in some areas. This is most likely due to the significant role of non-climatic factors in the river ice cover freeze-up process (Thellman et al. 2021). Based on the collected studies, it was estimated that the freezing of the river ice cover occurred a few to several days later on the surveyed rivers in the twentieth and twenty-first centuries.
-
2.
Ice cover breakup in the vast majority of the studied areas occurs earlier. This is most likely due to the significant relationship between the breakup process and the 0 °C isotherm (Bennet and Prowse 2010). Based on the research collected, it was estimated that breakup occurred a few to several days earlier in the study areas in the twentieth and twenty-first centuries.
-
3.
As a result of changes occurring in the freeze-up and breakup of river ice cover, the ice cover duration has decreased by up to several days per decade. Earlier breakup is more responsible for this effect than later freeze-up. A decrease in ice cover thickness was also observed in most of the study areas.
-
4.
The breakup and freeze-up trends are typically less spatially differentiated in Eurasia than in North America, as shown by the results of measurements from water gauge stations and model studies.
-
5.
Studies of individual reservoirs indicate that their impact on ice cover at the local scale is significant, and their range of influence can reach several hundred kilometers. The role of reservoirs in the occurrence of ice cover on regional and global scales is not recognized, but the rationale presented here suggests that this role may be significant, especially in central North America, Europe, and East Asia.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Ahmad SK, Hossain F, Holtgrieve GW, Pavelsky T, Galelli S (2021) Predicting the likely thermal impact of current and future dams around the world. Earth’s Future 9:e2020EF001916. https://doi.org/10.1029/2020EF001916
Andres DD (1994) The Freeze-up Regime of the Peace River, Taylor to the Slave River. Northern River Basins Study, Edmonton, AB, pp 89
Andres DD (1996) The Effects of flow regulation of the freeze-up regime of the Peace River, Taylor to the Slave River. Northern River Basins Study, Project Report No. 122
Andres D, Van Der Vinne G, Johnson B, Fonstad G (2003) Ice consolidation on the Peace River: release patterns and downstream surge characteristics. In: Proceedings 12th Workshop on the Hydraulics of Ice Covered Rivers, CGU HS Committee on River Ice Processes and the Environment, Edmonton, AB, June pp 19–20
Andrews SN, Buhariwalla CF, Fleet-Pardy B, Dadswell MJ, Linnansaari T, Curry RA (2019) Left out in the cold: The understudied overwintering ecology of striped bass in Canada. Environ Biol Fishes 102:499–518. https://doi.org/10.1007/s10641-019-0847-2
Andrishak R, Hicks F (2005) Impact of climate change on the winter regime of the Peace River in Alberta. Climate Change Research Users Group, Alberta Environment
Andrishak R, Hicks F (2008a) Impact of climate change on the peace river thermal ice regime. In: Mk W (ed) Cold region atmospheric and hydrologic studies. The Mackenzie GEWEX experience. Springer, Berlin. https://doi.org/10.1007/978-3-540-75136-6_17
Andrishak R, Hicks F (2008b) Simulating the effects of climate change on the ice regime of the Peace River. Can J Civ Eng 35(5):461–472. https://doi.org/10.1139/L07-129
Apsîte E, Elferts D, Latkovska I (2016) Long-term changes of Daugava River ice phenology under the impact of the cascade of hydro power plants. Proc Latv Acad Sci 70:71–77. https://doi.org/10.1515/prolas-2016-0012
Ashton GD (1979) Suppression of river ice by thermal effluents. CRREL Rep. 79–30, Cold Regions Research and Engineering Laboratory, Hanover, NH.
Ashton GD (1986) River and lake ice engineering. Water Resources Publication, Colorado
Ashton GD (2011) River and lake ice thickening, thinning, and snow ice formation. Cold Reg Sci Technol 68:3–19. https://doi.org/10.1016/j.coldregions.2011.05.004
Beaton A, Whaley R, Corston K, Kenny F (2019) Identifying historic river ice breakup timing using MODIS and Google Earth Engine in support of operational flood monitoring in Northern Ontario. Remote Sens Environ 224:352–364. https://doi.org/10.1016/j.rse.2019.02.011
Belolipetsky VM, Genova SN (1998) Investigation of hydrothermal and ice regimes in hydropower station bays. Int J Comput Fluid Dy 10(2):151–158
Beltaos S (2003) Threshold between mechanical and thermal breakup of river ice cover. Cold Reg Sci Technol 37:1–13. https://doi.org/10.1016/S0165-232X(03)00010-7
Beltaos S, Bonsal B (2021) Climate change impacts on Peace River ice thickness and implications to ice-jam flooding of Peace-Athabasca Delta. Canada Cold Reg Sci Technol 186:103279. https://doi.org/10.1016/j.coldregions.2021.103279
Beltaos S, Burrell C (2006) Water temperature decay under breakup ice jams. Cold Reg Sci Technol 45:123–136. https://doi.org/10.1016/j.coldregions.2006.05.006
Beltaos S, Carter T (2021) Minor 2020 ice jamming in lower Peace River despite extreme breakup flows: Assessment of hydroclimatic controls. In: Proceedings of the CGU HS Committee on river ice processes and the environment 21st Workshop on the Hydraulics of Ice Covered Rivers, Saskatoon, SK, Canada (29)
Beltaos S, Peters DL (2020) Naturalized flow regime of the regulated Peace River, Canada, during the spring breakup of the ice cover. Cold Reg Sci Technol 172:103005. https://doi.org/10.1016/j.coldregions.2020.103005
Beltaos S, Prowse T (2008) River-ice hydrology in a shrinking cryosphere. Hydrol 23:122–144. https://doi.org/10.1002/hyp.7165
Beltaos S, Prowse T, Bonsal B, MacKay R, Romolo L, Pietroniro A, Toth B (2006a) Climatic effects on ice-jam flooding of the Peace-Athabasca Delta. Hydrol Process 20(19):4031–4050. https://doi.org/10.1002/hyp.6418
Beltaos S, Prowse TD, Carter T (2006b) Ice regime of the lower Peace River and ice-jam flooding of the Peace-Athabasca Delta. Hydrol Process 20(19):4009–4029. https://doi.org/10.1002/hyp.6417
Bennett KE, Prowse TD (2010) Northern Hemisphere geography of ice-covered rivers. Hydrol Process 24:235–240. https://doi.org/10.1002/hyp.7561
Bieniek PA, Bhatt US, Rundquist LA, Lindsey SD, Zhang X, Thoman RL (2011) Large-scale climate controls of interior Alaska river ice breakup. J Clim 24(1):286–297. https://doi.org/10.1175/2010JCLI3809.1
Bodensteiner LR, Lewis WM (1992) Role of temperature, dissolved oxygen, and backwaters in the winter survival of freshwater drum (Aplodinotus grunniens) in the Mississippi River. Can J Fish Aquat Sci 49:173–184. https://doi.org/10.1139/f92-021
Bogatov VV, Astakhov MV (2011) Under-ice drift of invertebrates in the piedmont part of Kedrovaya River (Primorskii Krai). Inland Water Biol 4:56–64. https://doi.org/10.1134/S1995082911010032
Brooks RN, Prowse TD, O’Connel IJ (2013) Quantifying Northern Hemisphere freshwater ice. Geophys Res Lett 40:1128–1131. https://doi.org/10.1002/grl.50238
Brown RD, Mote PW (2009) The response of Northern Hemisphere snow cover to a changing climate. J Clim 22:2124–2145. https://doi.org/10.1175/2008JCLI2665.1
Brown DR, Brinkman TJ, Verbyla DL, Brown CL, Cold HS, Hollingsworth TN (2018) Changing river ice seasonality and impacts on interior Alaskan communities. Weather Clim Soc 10(4):625–640. https://doi.org/10.1175/WCAS-D-17-0101.1
Burn DH, Elnur MA (2001) Detection of hydrologic trends and variability. J Hydrol 255:107–122. https://doi.org/10.1016/S0022-1694(01)00514-5
Caretta MA, Mukherji A, Arfanuzzaman et al (eds) (2022) Climate Change 2022: impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781009325844.006
Carr ML, Tuthill AM, Vuyovich CM (2011) Dam removal ice hydraulic analysis and ice control alternatives. In: Proc 16th Workshop on River Ice, Winnipeg, Manitoba, pp 388–399
Carr ML, Daly SF, Hall S, Giovando J (2014) Ice conditions during winter releases at Ririe Dam. In: Proceedings of the 22nd IAHR International Symposium on Ice, pp 11–15
Chang J, Wang X, Li Y, Wang Y (2016) Ice regime variation impacted by reservoir operation in the Ning-Meng reach of the Yellow River. Nat Hazards. https://doi.org/10.1007/s11069-015-2010-5
Chaouch N, Temimi M, Romanov P, Cabrera R, McKillop G, Khanbilvardi R (2014) An automated algorithm for river ice monitoring over the Susquehanna River using the MODIS data. Hydrol Process 28(1):62–73. https://doi.org/10.1002/hyp.9548
Chassiot L, Lajeunesse P, Bernier JF (2020) Riverbank erosion in cold environments: Review and outlook. Earth Sci Rev 207:103231. https://doi.org/10.1016/j.earscirev.2020.103231
Chen Y, She Y (2020) Long-term variations of river ice breakup timing across Canada and its response to climate change. Cold Reg Sci Technol 176:103091. https://doi.org/10.1016/j.coldregions.2020.103091
Chien N (1985) Changes in river regime after the construction of upstream reservoirs. Earth Surf Process Landf 10:143–159. https://doi.org/10.1002/esp.3290100207
Cooley SW, Pavelsky TM (2016) Spatial and temporal patterns in Arctic river ice breakup revealed by automated ice detection from MODIS imagery. Remote Sens Environ 175:310–322. https://doi.org/10.1016/j.rse.2016.01.004
Cornes R, van der Schrier G, van den Besselaar EJM, Jones P (2018) An ensemble version of the E-OBS temperature and precipitation datasets. J Geophys Res Atmos. https://doi.org/10.1029/2017JD028200
Cunjak RA (1996) Winter habitat of selected stream fishes and potential impacts from land-use activity. Can J Fish Aquat Sci 53:267–282. https://doi.org/10.1139/cjfas-53-S1-267
Cunjak RA, Prowse TD, Parrish DL (1998) Atlantic salmon (Salmo salar) in winter: the season of parr discontent? Can J Fish Aquat Sci 55:161–180. https://doi.org/10.1139/d98-008
Das A, Sagin J, van der Sanden J, Evans E, McKay H, Lindenschmidt KE (2015) Monitoring the freeze-up and ice cover progression of the Slave River. Can J Civil Eng 42:1–13. https://doi.org/10.1139/cjce-2014-0286
Déry SJ, Hernández-Henríquez MA, Burford JE, Wood EF (2009) Observational evidence of an intensifying hydrological cycle in northern Canada. Geophys Res Lett 36:L13402. https://doi.org/10.1029/2009GL038852
Drouin H, Gauthier Y, Bernier M, Jasek M, Penner O, Weber F (2007) Quantitative validation of RADARSAT river ice maps. In: Proceedings of the 14th Workshop on River Ice, Québec City, Canada, pp 19–22
Dudley RW, Hodgkins GA (2002) Trends in streamflow, river ice, and snowpack for coastal river basins in Maine during the 20th century. Water Resources Investigations Report, U.S. Geological Survey, Augusta, Maine.
Duguay CR, Bernier M, Gauthier Y, Kouraev A (2015) Remote sensing of lake and river ice. In: Tedesco M (ed) Remote sensing of the cryosphere. Wiley, pp 273–306
Emmer S, Kovachis Watson N, Nafziger J (2021) A Tale of Two basins: the 2020 river ice breakup in northern Alberta, Part II: the Peace River. In: CGU HS Committee on River Ice Processes and the Environment 21st Workshop on the Hydraulics of Ice Covered Rivers
Fick SE, Hijmans RJ (2017) WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int J Climatol 37:4302–4315. https://doi.org/10.1002/joc.5086
Floyd AL, Prakash A, Meyer FJ, Gens R, Liljedahl A (2014) Using synthetic aperture radar to define spring breakup on the Kuparuk river, Northern Alaska. Arctic 67(4):462–471
Fox-Kemper B, Hewitt HT, Xiao C et al (eds) (2021) Climate Change 2021: the physical science basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 1211–1362. https://doi.org/10.1017/9781009157896.011
Frolova N, Agafonova S, Nesterenko D (2011) Water and ice regimes of the rivers of European Russia under climate change. Hydro-Climatology: Variability and Change. In: Proceedings of the Symposium J-H02 held during IUGG2011, Melbourne, Australia, 28: 344
Gauthier Y, Weber F, Savary S, Jasek M, Paquet LM, Bernier M (2006) A combined classification scheme to characterise river ice from SAR data. EARSeL eProc 5:77–88
Gauthier Y, Tremblay M, Bernier M, Furgal C (2010) Adaptation of a radar-based river ice mapping technology to the Nunavik context. Can J Remote Sens 36:168–185
Gebre SB, Alfredsen KT (2011) Investigation of river ice regimes in some Norwegian water courses. In: Proceedings of the 16th Workshop on the Hydraulics of Ice Covered Rivers, Winnipeg, MB, Canada, pp 18–22
Gerard R (1989) Hydroelectric power development and the ice regime of inland waters: a northern community perspective. National Hydrology Research Inst. Canada
Gerard R, Karpuk EW (1979) Probability analysis of historical flood data. J Hydraul Div 105(9):1153–1165
Goulding HL, Prowse TD, Beltaos S (2009) Spatial and temporal patterns of break-up and ice-jam flooding in the Mackenzie Delta, NWT. Hydrol Process 23:2654–2670. https://doi.org/10.1002/hyp.7251
Gutiérrez JM, Jones RG, Narisma GT, Alves LM, Amjad M, Gorodetskaya IV, Grose M, Klutse NAB, Krakovska S, Li J, Martínez-Castro D, Mearns LO, Mernild SH, Ngo-Duc T, van den Hurk B, Yoon JH (2021) Atlas. In: Zhai VP, Pirani A, Connors SL, Péan C, Berger S, Caud N, Chen Y Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, Yelekçi O, Yu R, Zhou B (eds) Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Masson-Delmotte, http://interactive-atlas.ipcc.ch/. Accessed 26 June 2023
Haghighi AT, Marttila H, Kløve B (2014) Development of a new index to assess river regime impacts after dam construction. Glob Planet Change 122:186–196. https://doi.org/10.1016/j.gloplacha.2014.08.019
Harris I, Osborn TJ, Jones P, Lister D (2020) Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci Data. https://doi.org/10.1038/s41597-020-0453-3
Heggenes J, Alfredsen K, Bustos AA, Huusko A, Stickler M (2018) Be cool: a review of hydro-physical changes and fish responses in winter in hydropower-regulated northern streams. Environ Biol Fishes 101:1–21. https://doi.org/10.1007/s10641-017-0677-z
Helama S, Jiang J, Korhonen J, Holopainen J, Timonen M (2013) Quantifying temporal changes in Tornionjoki river ice breakup dates and spring temperatures in Lapland since 1802. J Geogr Sci 23:1069–1079. https://doi.org/10.1007/s11442-013-1063-1
Hodgkins GA, Dudley RW, Huntington TG (2005) Changes in the number and timing of days of ice-affected flow on northern New England rivers, 1930–2000. Clim Change 71:319–340. https://doi.org/10.1007/s10584-005-5926-z
Huntington TG, Hodgkins GA, Dudley RW (2003) Historical trend in river ice thickness and coherence in hydroclimatological trends in maine. Clim Change 61:217–236. https://doi.org/10.1023/A:1026360615401
Huokuna M, Morris M, Beltaos S, Burrell BC (2022) Ice in reservoirs and regulated rivers. Int J River Basin Manag 20:1–16. https://doi.org/10.1080/15715124.2020.1719120
Huusko A, Greenberg L, Stickler M et al (2007) Life in the ice lane: the winter ecology of stream salmonids. River Res and Appl 23:469–491. https://doi.org/10.1002/rra.999
IAHR (Section on Ice Problems) (1980) Multilingual Ice Terminology. https://rivergages.mvr.usace.army.mil/WaterControl/Districts/MVP/Reports/ice/iahr_ice_terminology.html. Accessed 17 Nov 2022
Imrit MA, Yousaf Z, Sharma S (2022) Quantifying the trends and drivers of ice thickness in lakes and rivers across North America. Water 14(12):1841. https://doi.org/10.3390/w14121841
International Commission of Large Dams (2022) Definition of large dam. https://www.icold-cigb.org/GB/dams/definition_of_a_large_dam.asp. Accessed 18 Nov 2022
Ionita M, Badaluta CA, Scholz P, Chelcea S (2018) Vanishing river ice cover in the lower part of the Danube basin-signs of a changing climate. Sci Rep 8:7948. https://doi.org/10.1038/s41598-018-26357-w
Jain SC, Ettema R, Park I (1993) Flow regulation for controlled river-ice formation. Iowa Institute of Hydraulic Research, Iowa City
Janowicz JR (2010) Observed trends in the river ice regimes of northwest Canada. Hydrol Res 41(6):462–470. https://doi.org/10.2166/nh.2010.145
Jasek M, Pryse-Phillips A (2015) Influence of the proposed Site C hydroelectric project on the ice regime of the Peace River. Can J Civ Eng 42(9):645–655. https://doi.org/10.1139/cjce-2014-0425
Jasek M, Gauthier Y, Poulin J, Bernier M (2013) Monitoring of freeze-up on the Peace River at the Vermilion Rapids using RADARSAT-2 SAR data. In: Proceedings of the 17th Workshop on River Ice, CGU HS Committee on River Ice Processes and the Environment, Edmonton, AB, Canada
Jeffries MO, Morris K, Duguay CR (2012) Floating ice: Lake ice and river ice. In: Williams RS, Ferrigno JG (ed) Satellite Image Atlas of Glaciers of the World-State of the Earth’s Cryosphere at the Beginning of the 21st Century: Glaciers, Global Snow Cover, Floating Ice, and Permafrost and Periglacial Environments, U.S. Geological Survey Professional Paper, pp 381–415
Jiang Y, Dong W, Yang S, Ma J (2008) Long-term changes in ice phenology of the Yellow River in the past decades. J Clim 21:4879–4886. https://doi.org/10.1175/2008JCLI1872.1
Jiang B, Wang F, Ni G (2018) Heating impact of a tropical reservoir on downstream water temperature: a case study of the Jinghong Dam on the Lancang River. Water 10:951. https://doi.org/10.3390/w10070951
Kędra M, Wiejaczka Ł (2016) Disturbance of water-air temperature synchronization by dam reservoirs. Water Environ J 30:31–39. https://doi.org/10.1111/wej.12156
Kędra M, Wiejaczka Ł (2018) Climatic and dam-induced impacts on river water temperature: Assessment and management implications. Sci Total Environ 626:1474–1483. https://doi.org/10.1016/j.scitotenv.2017.10.044
Klavins M, Briede A, Rodinov V (2009) Long term changes in ice and discharge regime of rivers in the Baltic region in relation to climatic variability. Clim Change 95:485–498. https://doi.org/10.1007/s10584-009-9567-5
Knack IM, Shen HT (2018) A numerical model for sediment transport and bed change with river ice. J Hydraul Res 56(6):844–856. https://doi.org/10.1080/00221686.2017.1414719
Kuusisto E, Elo AR (2000) Lake and river ice variables as climate indicators in Northern Europe. Verh Int Ver Limnol 27:2761–2764. https://doi.org/10.1080/03680770.1998.11898168
Lacroix MP, Prowse TD, Bonsal BR, Duguay CR, Ménard P (2005) River ice trends in Canada. In: 13th Workshop on the hydraulics of ice covered rivers, pp 41–55
Lal AW, Shen HT (1993) A mathematical model for river ice processes. CRREL Report 93–4, US Army Corps of Engineers, Cold Regions Research & Engineering Laboratory
Leconte R, Klassen PD (1991) Lake and river ice investigations in northern Manitoba using airborne SAR imagery. Arctic 44:153–163
Lehmkuhl DM (1972) Change in thermal regime as a cause of reduction of benthic fauna downstream of a reservoir. J Fish Res Board Ca 29:1329–1332. https://doi.org/10.1139/f72-20
Lehner B, Reidy Liermann C, Revenga C, Vörösmarty C, Fekete B, Crouzet P, Döll P, Endejan M, Frenken K, Magome J, Nilsson C, Robertson JC, Rodel R, Sindorf N, Wisser D (2011) High-resolution mapping of the world’s reservoirs and dams for sustainable river-flow management. Front Ecol Envirol 9:494–502. https://doi.org/10.1890/100125
Lesack LF, Marsh P, Hicks FE, Forbes DL (2014) Local spring warming drives earlier river-ice breakup in a large Arctic delta. Geophys Res Lett 41(5):1560–1567. https://doi.org/10.1002/2013GL058761
Li Z, Lindenschmidt KE (2018) Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers. Can J Remote 44(1):11–25. https://doi.org/10.1080/07038992.2018.1419424
Li H, Li H, Wang J, Hao X (2020) Monitoring high-altitude river ice distribution at the basin scale in the northeastern Tibetan Plateau from a Landsat time-series spanning 1999–2018. Remote Sens Environ 247:111915. https://doi.org/10.1016/j.rse.2020.111915
Li H, Li H, Wang J, Hao X (2021) Identifying river ice on the Tibetan Plateau based on the relative difference in spectral bands. J Hydrol 601:126613. https://doi.org/10.1016/j.jhydrol.2021.126613
Li H, Li H, Wang J, Hao X (2023) Revealing the river ice phenology on the Tibetan Plateau using Sentinel-2 and Landsat 8 overlapping orbit imagery. J Hydrol 619:129285. https://doi.org/10.1016/j.jhydrol.2023.129285
Lindenschmidt KE, Chun KP (2014) Geospatial modelling to determine the behaviour of ice cover formation during freeze-up of the Dauphin River in Manitoba. Hydrol Res 45:645–659. https://doi.org/10.2166/nh.2013.193
Lindenschmidt KE, Li Z (2018) Monitoring river ice cover development using the Freeman-Durden decomposition of quad-pol Radarsat-2 images. J Appl Remote Sens. https://doi.org/10.1117/1.JRS.12.026014
Lindenschmidt KE, Syrenne G, Harrison R (2010) Measuring ice thicknesses along the Red River in Canada using RADARSAT-2 satellite imagery. J Water Res Prot 2:923–933. https://doi.org/10.4236/jwarp.2010.211110
Łoś, H, Pawłowski B (2017) The use of Sentinel-1 imagery in the analysis of river ice phenomena on the Lower Vistula in the 2015–2016 winter season. In: Signal Processing Symposium (SPSympo), pp 1–5
Magnuson JJ, Robertson DM, Benson BJ, Wynne RH, Livingstone DM, Arai T, Assel RA, Barry RG, Card V, Kuusisto E, Granin NG, Prowse TD, Stewart KM, Vuglinski VS (2000) Historical trends in lake and river ice cover in the Northern Hemisphere. Science 289:1743–1746. https://doi.org/10.1126/science.289.5485.1743
Maheu A, St-Hilaire A, Caissie D (2014) The impact of dams on the winter thermal regime of streams: progress report. Rapport de recherche R1506, INRS-ETE
Maheu A, St-Hilaire A, Caissie D, El-Jab N (2016) Understanding the thermal regime of rivers influenced by small and medium size dams in Eastern Canada. River Res Appl 32:2032–2044. https://doi.org/10.1002/rra.3046
Marszelewski W, Pawłowski B (2019) Long-term changes in the course of ice phenomena on the Oder river along the Polish-German border. Water Resour Mana 33:5107–5120. https://doi.org/10.1007/s11269-019-02417-2
Martinson CR (1980) Sediment displacement in the Ottauquechee River, CRREL Spec. Rep. Army Cold Regions Research and Engineering Laboratory
Melentyev V, Bobylev L, Pettersson L, Sandven S (2005) Winter hydrology and ice regime of the Ob–Yenisey estuaries: results of satellite SAR comprehensive studies. In: Proc 31st Int. Symp. Remote Sensing of Environment (ISRSE)
Mermoz S, Allain S, Bernier M, Pottier E, Gherboudj I (2009) Classification of river ice using polarimetric SAR data. Can J Remote Sens 35:460–473. https://doi.org/10.5589/m09-034
Mermoz S, Allain-Bailhache S, Bernier M, Pottier E, Van Der Sanden JJ, Chokmani K (2013) Retrieval of river ice thickness from C-band PolSAR data. IEEE Trans Geosci 52(6):3052–3062. https://doi.org/10.1109/IGARSS.2012.6350734
Morice CP, Kennedy JJ, Rayner NA, Winn JP, Hogan E, Killick RE, Simpson IR (2021) An updated assessment of near-surface temperature change from 1850: the HadCRUT5 data set. J Geophys Res Atmos. https://doi.org/10.1029/2019JD032361
Morsem B, Hicks F (2005) Advances in river ice hydrology 1999–2003. Hydrol Process 19:247–263. https://doi.org/10.1002/hyp.5768
Mudryk L, Santolaria-Otin M, Krinner G, Ménégoz M, Derksen C (2020) Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble. Cryosphere 14:2495–2514. https://doi.org/10.5194/tc-14-2495-2020
Nalbant MA, Sharma S (2022) Investigating the impact of climate change on river ice thickness across the Northern Belt of United States. ISH J Hydaul Eng. https://doi.org/10.1080/09715010.2022.2050309
Newton AM, Mullan D (2020) Climate change and Northern Hemisphere lake and river ice phenology. Cryosphere Discuss. https://doi.org/10.5194/tc-2020-172
Obyazov VA, Smakhtin VK (2014) Ice regime of Transbaikalian rivers under changing climate. Water Resour 41:225–231. https://doi.org/10.1134/S0097807814030130
Olden JD, Naiman RJ (2010) Incorporating thermal regimes into environmental flows assessments: Modifying dam operations to restore freshwater ecosystem integrity. Freshw Biol 55:86–107. https://doi.org/10.1111/j.1365-2427.2009.02179.x
Park H, Yoshikawa Y, Oshima K, Kim Y, Ngo-Duc T, Kimball JS, Yang D (2016) Quantification of warming climate-induced changes in terrestrial Arctic river ice thickness and phenology. J Clim 29:1733–1754. https://doi.org/10.1175/JCLI-D-15-0569.1
Pawłowski B (2015) Determinants of change in the duration of ice phenomena on the Vistula River in Toruń. J Hydrol Hydromech 63:145–153. https://doi.org/10.1515/johh-2015-0017
Podkowa A, Kugler Z, Nghiem SV, Brakenridge GR (2023) Ice freeze-up and break-up in Arctic rivers observed with satellite L-band passive microwave data from 2010 to 2020. Water Resour Res 59:e2022WR031939. https://doi.org/10.1029/2022WR031939
Preece RM, Jones HA (2002) The effect of Keepit Dam on the temperature regime of the Namoi River, Australia. River Res Appl 18:397–414. https://doi.org/10.1002/rra.686
Prowse TD (2001) River-ice ecology. I: hydrologic, geomorphic, and water-quality aspects. J Cold Reg Eng 15:1–16. https://doi.org/10.1061/(ASCE)0887-381X(2001)15:1(1)
Prowse TD, Bonsal BR (2004) Historical trends in river-ice break-up: a review. Hydrol Res 35(4–5):281–293
Prowse TD, Bonsal BR, Lacroix MP, Beltaos S (2002) Trends in river-ice breakup and related temperature controls. In: Ice in the environment. In: 16th IAHR International Symposium on ice (3) pp 64–71
Prowse TD, Bonsalm BR, Duguaym CR, Lacroixm MP (2007) River-ice break-up/freeze-up: a review of climatic drivers, historical trends and future predictions. Ann Glaciol 46:443–451. https://doi.org/10.3189/172756407782871431
Prowse T, Shrestha R, Bonsal B, Dibike Y (2010) Changing spring air-temperature gradients along large northern rivers: Implications for the severity of river-ice floods. Geophys Res Lett 37(19): L19706. https://doi.org/10.1029/2010GL044878
Punsalmaa B, Nyamsuren B, Buyndalai B (2004) Trends in river and lake ice in Mongolia. In: Assessments of impacts and adaptations to climate change (AIACC). Working Paper 4
Rannie WF (1983) Breakup and freezeup of the Red River at Winnipeg, Manitoba Canada in the 19th century and some climatic implications. Clim Change 5:283–296. https://doi.org/10.1007/BF02423523
Rawlins MA, Steele M, Holland et al (2010) Analysis of the Arctic system for freshwater cycle intensification: Observations and expectations. J Clim 23:5715–5737. https://doi.org/10.1175/2010JCLI3421.1
Raymond PA, Hartmann J, Lauerwald R, Sobek S, McDonald C, Hoover M, Butman D, Striegl R, Mayorga E, Humborg C, Kortelainen P, Dürr H, Meybeck M, Ciais P, Guth P (2013) Global carbon dioxide emissions from inland waters. Nature 503:355–359. https://doi.org/10.1038/nature12760
Rham LP, Prowse TD, Bonsal BR (2008) Temporal variations in river-ice break-up over the Mackenzie River Basin, Canada. J Hydrol 349:441–454. https://doi.org/10.1016/j.jhydrol.2007.11.018
Rohde R, Muller R, Jacobsen R, Perlmutter S, Rosenfeld A, Wurtele J, Mosher S (2013) Berkeley earth temperature averaging process. Geoinform Geostat Overview 1(2):20–100. https://doi.org/10.4172/gigs.1000103
Rokaya P, Morales-Marín L, Bonsal B, Wheater H, Lindenschmidt KE (2019) Climatic effects on ice phenology and ice-jam flooding of the Athabasca River in western Canada. Hydro Sci J 64:1265–1278. https://doi.org/10.1080/02626667.2019.1638927
Rokaya P, Das A, Lindenschmidt KE (2017) Exploring flow operation schemes for sustainable ice-jam flood management along the Peace River in western Canada. In: 19th Workshop on the Hydraulics of Ice Covered Rivers. Whitehorse, Yukon, Canada, 12
Sagarin R, Micheli F (2001) Climate change in nontraditional data sets. Science 294:811
Sakai T, Hatta S, Okumura M, Hiyama T, Yamaguchi Y, Inoue G (2015) Use of Landsat TM/ETM+ to monitor the spatial and temporal extent of spring breakup floods in the Lena River, Siberia. Int J Remote Sens 36(3):719–733. https://doi.org/10.1080/01431161.2014.995271
Sayre WW, Song GB (1979) Effects of ice covers on alluvial channel flow and sediment transport processes. IIHR Rep. No. 218, Iowa City
Sharma S, Magnuson JJ, Batt RD, Winslow LA, Korhonen J, Aono Y (2016) Direct observations of ice seasonality reveal changes in climate over the past 320–570 years. Sci Rep 6:25061. https://doi.org/10.1038/srep25061
She Y, Hicks F, Andrishak R (2012) The role of hydro-peaking in freeze-up consolidation events on regulated rivers. Cold Reg Sci Technol 73:41–49. https://doi.org/10.1016/j.coldregions.2012.01.001
Shen HT (2003) Research on river ice processes: progress and missing links. J Cold Reg Eng 17:135–142. https://doi.org/10.1061/(ASCE)0887-381X(2003)17:4(135)
Shen HT (2010) Mathematical modeling of river ice processes. Cold Reg Sci Technol 62:3–13. https://doi.org/10.1016/j.coldregions.2010.02.007
Shen HT (2016) River ice processes. In: Wang LK, Yang TC, Wang MS (eds) Advances in water resources management. Springer, Cham, pp 483–530. https://doi.org/10.1007/978-3-319-22924-9
Shiklomanov A, Lammers RB (2014) River responses to a warming Arctic—recent evidence from Russian rivers. Environ Res Lett 9:035008. https://doi.org/10.1088/1748-9326/9/3/035008
Smith LC (2000) Trends in Russian arctic river-ice formation and breakup, 1917 to 1994. Phys Geogr 21:46–56. https://doi.org/10.1080/02723646.2000.10642698
Sobiech J, Dierking W (2013) Observing lake-and river-ice decay with SAR: advantages and limitations of the unsupervised k-means classification approach. Ann Glaciol 54(62):65–72
Soja R, Wiejaczka Ł (2014) The impact of a reservoir on the physicochemical properties of water in a mountain river. Water Environ J 28:473–482. https://doi.org/10.1111/wej.12059
Soldatova II (1993) Secular variations in river breakup dates and their relation to climate changes. Russ Meteorol Hydrol 9:70–76
Starosolszky Ö (1990) Effect of river barrages on ice regime. J Hydraul Res 28:711–718. https://doi.org/10.1080/00221689009499021
Stonevicius E, Uselis G, Grendaite D (2022) Ice detection with Sentinel-1 SAR backscatter threshold in long sections of temperate climate rivers. Remote Sens 14(7):1627. https://doi.org/10.3390/rs14071627
Sukhbaatar C, Sodnom T, Hauer C (2020) Challenges for hydropeaking mitigation in an ice-covered river: a case study of the Eg hydropower plant, Mongolia River. Res Appl 36(8):1416–1429. https://doi.org/10.1002/rra.3661
Takács K, Kern Z (2015) Multidecadal changes in the river ice regime of the lower course of the River Drava since AD 1875. J Hydrol 529:1890–1900. https://doi.org/10.1016/j.jhydrol.2015.01.040
Takács K, Kern Z, Nagy B (2013) Impacts of anthropogenic effects on river ice regime: examples from Eastern Central Europe. Quat Int 293:275–282. https://doi.org/10.1016/j.quaint.2012.12.010
Takács K, Kern Z, Pásztor L (2018) Long-term ice phenology records from eastern–central Europe. Earth Syst Sci Data 10(1):391–404. https://doi.org/10.1594/PANGAEA.881056
Thellman A, Jankowski KJ, Hayden B, Yang X, Dolan W, Smits AP, O’Sulivan AM (2021) The ecology of river ice. J Geophys Res Biogeosci 126:e2021JG006275. https://doi.org/10.1029/2021JG006275
Thornton PE, Shrestha R, Thornton M, Kao SC, Wei Y, Wilson BE (2021) Gridded daily weather data for North America with comprehensive uncertainty quantification. Sci Data. https://doi.org/10.1038/s41597-021-00973-0
Tracy BT, Steven FD (2003) River ice delineation with RADARSAT SAR. In: Proceedings CGU HS Committee on river ice processes and the environment, Workshop on the Hydraulics of Ice Covered Rivers 12
Tuthill AM, White KD, Vuyovich CM, Daniels LA (2007) Ice jams, contaminated sediment, dam removal, and bridge scour on the Clark Fork River, Montana. In: 14th Workshop on Ice Covered Rivers, pp 19–22
Tuthill AM (1999) Flow control to manage river ice. US Army Cold Regions Res Eng Lab 99(8):1–25
Unterschultz KD, Van der Sanden J, Hicks FE (2009) Potential of RADARSAT-1 for the monitoring of river ice: results of a case study on the Athabasca River at Fort McMurray, Canada. Cold Reg Sci Technol 55(2):238–248. https://doi.org/10.1016/j.coldregions.2008.02.003
van Leeuwen B, Sipos G, Lábdy J, Baksa M, Tobak Z (2022) River ice monitoring of the Danube and Tisza rivers using Sentinel-1 radar data. Geogr Pannonica 26(3):215–229. https://doi.org/10.5937/gp26-39962
Van der Sanden JJ, Drouin H, Hick, FE, Beltaos S (2009) Potential of RADARSAT-2 for the monitoring of river freeze-up processes. In: Proceedings of the 15th Workshop on River Ice, St. John’s, NL, Canada, pp 179–197
Van der Sanden JJ, Drouin H (2011) Satellite SAR observations of river ice cover: a RADARSAT-2 (C-band) and ALOS PALSAR (L-Band) comparison. In: Proceedings of the 16th Workshop on River Ice, Canadian Geophysical Union–Hydrology Section, Committee on River Ice Processes and the Environment, Winnipeg, MB, Canada, pp 179–197
Vuglinsky V (2017) Assessment of changes in ice regime characteristics of Russian lakes and rivers under current climate conditions. Nat Resour 8:416–431. https://doi.org/10.4236/nr.2017.86027
Vuglinsky V, Valatin D (2018) Changes in ice cover duration and maximum ice thickness for rivers and lakes in the Asian part of Russia. Nat Resour 9:73–87. https://doi.org/10.4236/nr.2018.93006
Vyshnevskyi VI (2020) Temperature and ice regimes of waterbodies under the impacts of global warming and a hydropower plant. Meteorol Hydrol Water Manag. https://doi.org/10.26491/mhwm/127538
Wang J, Walter BA, Yao F, Song C, Ding M, Maroof AS, Zhu J, Fan C, McAlister JM, Skider S, Sheng Y, Allen GH, Crétaux JF, Wada Y (2022) GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations. Earth Syst Sci Data 14:1869–1899. https://doi.org/10.5194/essd-14-1869-2022
Weber F, Nixon D, Hurley J (2003) Semi-automated classification of river ice types on the Peace River using RADARSAT-1 synthetic aperture radar (SAR) imagery. Can J Civ Eng 30:11–27. https://doi.org/10.1139/l02-073
Weyhenmeyer GA, Livingstone DM, Meili M, Jensen O, Benson B, Magnuson JJ (2011) Large geographical differences in the sensitivity of ice-covered lakes and rivers in the Northern Hemisphere to temperature changes. Glob Change Biol 17(1):268–275. https://doi.org/10.1111/j.1365-2486.2010.02249.x
White KD (2001) Considerations for dam removal in ice-affected rivers. Ice Eng 27:1–4
White KD, Moore JN (2002) Impacts of dam removal on riverine ice regime. J Cold Reg Eng 16:2–16. https://doi.org/10.1061/(ASCE)0887-381X(2002)16:1(2)
Wiejaczka Ł, Wesoły K (2017) Effect of a small dam reservoir on the water temperature in a Carpathian river. Geogr Pol 90:481–491. https://doi.org/10.7163/GPol.0107
Wiejaczka Ł, Kijowska-Strugała M, Pierwoła P, Nowak M (2018) Water temperature dynamics in a complex of reservoirs and its effect on the temperature patterns of a mountain river. Water Res 45:861–872. https://doi.org/10.1134/S0097807818060167
Williams GP (1970) A note on the break-up of lakes and rivers as indicators of climate change. Atmosphere 8:23–24. https://doi.org/10.1080/00046973.1970.9676580
Yang X, Pavelsky MT, Allen HG (2020) The past and future of global river ice. Nature 577:69–73. https://doi.org/10.1038/s41586-019-1848-1
Yatagai A, Yasutomi N, Maeda M, Schneider DP (eds) The Climate Data Guide: APHRODITE: Asian Precipitation - Highly Resolved - Towards Evaluation of Water Resources." https://climatedataguide.ucar.edu/climate-data/aphrodite-asian-precipitation-highly-resolved-observational-data-integration-towards Accessed 22 June 2023
Zhang X, Harvey KD, Hogg WD, Yuzyk TR (2001) Trends in Canadian streamflow. Water Resour Res 37:987–998. https://doi.org/10.1029/2000WR900357
Zhang H, Li H, Li H (2022) Monitoring the ice thickness in high-order rivers on the tibetan plateau with dual-polarized C-band synthetic aperture radar. Remote Sens. https://doi.org/10.3390/rs14112591
Funding
This research was funded in whole by the National Science Center, Poland (grant number: 2020/39/O/ST10/00652). For the purpose of Open Access, the author has applied a CC-BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Author information
Authors and Affiliations
Contributions
The author confirms sole responsibility for the following: study conception and design, data collection, analysis and interpretation of results, and manuscript preparation.
Corresponding author
Ethics declarations
Conflict of interest
The author declares that he has no known competing financial interests or personal relationships that could influence the work presented in this article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Fukś, M. Changes in river ice cover in the context of climate change and dam impacts: a review. Aquat Sci 85, 113 (2023). https://doi.org/10.1007/s00027-023-01011-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00027-023-01011-4