Abstract
The chapter presents the analysis of the water temperature variability in the Lower Danube River. Temperature of water is one of the most important quality indicators for river ecosystems, which controls many physical and biogeochemical processes within the water body. All the aquatic species have the specific water temperature ranges for growth and development, thus, significant variations of water temperature may cause harmful consequences to the aquatic ecosystems. Surface waters present high variations of temperature depending on spatio-temporal variability and environmental conditions. Gradual rising of the surface waters temperature has a favorable influence on the water properties because this facilitates the natural water purification. An important influencing factor is the discharge of heated wastewaters directly in the streams, which can cause the reduction of dissolved oxygen content. In this regard, we present a time series statistical analysis of the water temperature recorded between 2001 and 2016 in three monitoring sections located on the Romanian side of the Lower Danube i.e., Pristol (RO2), Chiciu (RO4), and Reni (RO5) using monitoring data from the Transnational Monitoring Network of the Danube River (TNMN) database. Despite some differences between the monitoring sections determined by the local hydrological, climatic, and topographical conditions, a relative constancy of the water temperature was observed on the entire analyzed period. However, the obtained trendlines show that the water temperature increased from 2001 to 2016, this pattern being more evident in the southernmost control section (Chiciu-RO4). The SARIMA model provided a comprehensive description of the spatiotemporal variations of the water temperature but more complex approaches for improving water monitoring and modeling in the Lower Danube are required to integrate them in process-based analysis.
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References
Gualtieri C, Gualtieri P, Doria GP (2002) Dimensional analysis of reaeration rate in streams. J Environ Eng 128(1):12–18
Bondar-Kunze E, Kasper V, Hein T (2021) Responses of periphyton communities to abrupt changes in water temperature and velocity, and the relevance of morphology: a mesocosm approach. Sci Total Environ 768:145200
Hill BH, Elonen CM, Herlihy AT, Jicha TM, Mitchell RM (2017) A synoptic survey of microbial respiration, organic matter decomposition, and carbon efflux in U.S. streams and rivers. Limnol Oceanogr 62(1):S147–S159. https://doi.org/10.1002/lno.10583
Fritz KM, Schofield KA, Alexander LC et al (2018) Physical and chemical connectivity of streams and riparian wetlands to downstream waters: a synthesis. J Am Water Resour Assoc 54(2):323–345. https://doi.org/10.1111/1752-1688.12632
Dai Y, Hein T, Preiner S, Reitsema RE, Schoelynck J (2020) Influence of water temperature and water depth on macrophyte–bacterioplankton interaction in a groundwater-fed river. Environ Sci Pollut Res 27(12):13166–13179
Dang AT, Kumar L, Reid M (2020) Modelling the potential impacts of climate change on rice cultivation in Mekong Delta, Vietnam. Sustainability 12(22):9608
Skowron R (2017) Water temperature in investigations of Polish lakes. Limnol Rev 17(1):31–46
Wolf KL, Noe GB, Ahn C (2013) Hydrologic connectivity to streams increases nitrogen and phosphorus inputs and cycling in soils of created and natural floodplain wetlands. J Environ Qual 42(4):1245–1255. https://doi.org/10.2134/jeq2012.0466
Whitehead PG, Wilby RL, Battarbee RW, Kernan M, Wade AJ (2009) A review of the potential impacts of climate change on surface water quality. Hydrol Sci J 54(1):101–123. https://doi.org/10.1623/hysj.54.1.101
Dodds WK (2002) Freshwater ecology concepts and environmental applications. Academic Press, San Diego
Caissie D (2006) The thermal regime of rivers—a review. Freshw Biol 51:1389–1406
OECD (2021) Data sheets for surface water quality standards—Annex 1. https://www.oecd.org/env/outreach/38205662.pdf. Accessed 20 July 2021
Cai Y, Zhang H, Zheng P et al (2016) Quantifying the impact of land use/land cover changes on the urban heat island: a case study of the natural wetlands distribution area of Fuzhou City, China. Wetlands 36:285–298. https://doi.org/10.1007/s13157-016-0738-7
Rutherford JC, Blackett S, Blackett C, Saito L, Davies-Colley RJ (1997) Predicting the effects of shade on water temperature in small streams. NZJ Mar Freshw Res 31(5):707–721. https://doi.org/10.1080/00288330.1997.9516801
Osborne LL, Kovacic DA (1993) Riparian vegetated buffer strips in water-quality restoration and stream management. Freshw Biol 29(2):243–258
Bowler DE, Mant R, Orr H et al (2012) What are the effects of wooded riparian zones on stream temperature? Environ Evid 1:3. https://doi.org/10.1186/2047-2382-1-3
Feller MC (1981) Effects of clearcutting and slashburning on stream temperature in southwestern British Columbia 1. J Am Water Resour Assoc 17(5):863–867
Garner G, Malcolm IA, Sadler JP, Hannah DM (2017) The role of riparian vegetation density, channel orientation and water velocity in determining river temperature dynamics. J Hydrol 553:471–485
Dunea D, Iordache Ș, Iordache V, Purcoi L, Predescu L (2019) Monitoring of the evapotranspiration processes in riparian grasslands. Sci Papers Ser A Agron 62(1):278–285
Roth TR, Westhoff MC, Huwald H, Huff JA, Rubin JF, Barrenetxea G, Vetterli M, Parriaux A, Selker JS, Parlange MB (2010) Stream temperature response to three riparian vegetation scenarios by use of a distributed temperature validated model. Environ Sci Technol 44(6):2072–2078
Boothroyd IK, Quinn JM, Langer EL, Costley KJ, Steward G (2004) Riparian buffers mitigate effects of pine plantation logging on New Zealand streams: 1. Riparian vegetation structure, stream geomorphology and periphyton. For Ecol Manag 194(1–3):199–213
Purcoi EL (2020) Assessing the health and role of riparian vegetation under anthropogenic impacts. A comparative study of two degraded river basins from Romania. Dissertation, King’s College London, University of London
Trimmel H, Weihs P, Leidinger D, Formayer H, Kalny G, Melcher A (2018) Can riparian vegetation shade mitigate the expected rise in stream temperatures due to climate change during heat waves in a human-impacted pre-alpine river? Hydrol Earth Syst Sci 22(1):437–461
Allan JD (1995) Stream ecology: structure and function of running waters. Chapman & Hall, London
Wu WY, Lo MH, Wada Y et al (2020) Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers. Nat Commun 11:3710. https://doi.org/10.1038/s41467-020-17581-y
Dobrot R (2020) Lecții de Hidrologie și Hidrogeologie. Ed. Didactică și Pedagogică S.A., București
Murdock JN (2008) Stream management. In: Jørgensen SE, Fath BD (eds) Encyclopedia of ecology. Elsevier
Loperfido JV (2014) Surface water quality. In: Ahuja S (ed) Streams and rivers: scaling and climate change, comprehensive water quality and purification, 1st edn, vol 4. Elsevier, pp 87–105
Dunea D, Brețcan P, Tanislav D, Șerban G, Teodorescu R, Iordache S, Petrescu N, Țuchiu E (2020) Evaluation of water quality in Ialomița river basin in relationship with land cover patterns. Water 12:735
Garcia M, Ridolfi E, Di Baldassarre G (2020) The interplay between reservoir storage and operating rules under evolving conditions. J Hydrol 590:125270
Csagoly P, Magnin G, Hulea O (2016) Lower Danube green corridor. In: Finlayson C, Milton G, Prentice R, Davidson N (eds) The wetland book. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6173-5_251-1
Mihăilescu V (coord) (1969) Geografia Văii Dunării Românești, Edit. Academiei Române, București
Zaharia L, Ioana-Toroimac G (2013) Romanian Danube River management: impacts and perspectives. European Continental Hydrosystems under Changing Water Policy. München, Verlag Dr. Friedrich Pfeil, pp 159–170
Hachemi K, Grecu F, Ioana-Toroimac G, Constantin DM, Ozer A (2020) The diachronic analysis of island dynamics along the Vedea-Oltenița Danube river sector using SAR imagery. Med Geosc Rev 1–15
Hachemi K, Grecu F, Ioana-Toroimac G, Grigorie (Omrani) Ş, Ozer A, Kuzucuoglu C (2020) Contribution of SAR radar imagery in the study of the dynamics of the Danube island system, Giurgiu-Călăraşi sector, Romania. Adv Model Anal B 63(1–4):1–6. https://doi.org/10.18280/ama_b.631-401
Dobrică V, Demetrescu C, Mareș I et al (2018) Long-term evolution of the Lower Danube discharge and corresponding climate variations: solar signature imprint. Theor Appl Climatol 133:985–996. https://doi.org/10.1007/s00704-017-2234-2
Bogdan O (1978) Fenomene climatice de iarna si de vara, Edit. Stiintifica si Enciclopedica, Bucuresti
Bogdan O (1989) Inversiunile de temperatură cu privire specială asupra celor care se produc pe suprafețele de apă. SCGGG-geografie, XXXVI
Gâştescu P, Ţuchiu E (2012) The Danube river in the pontic sector-hidrologycal regime. In: Water resources and wetlands. Conference proceedings, pp 14–16
Tuchiu E (2020) Starea corpurilor de apă de pe cursul inferior al Dunării între Baziaş şi Isaccea. Edit. Transversal, Targoviste
Zaharia L (1993) Câteva observaţii asupra scurgerii medii a unor râuri tributare Dunării româneşti. An Univ Bucur ser. Geogr 42:73–80
Gâștescu P, Zăvoianu I, Pisota I, (2005) Apele în Geografia României, vol. V. Edit Academiei Române, București
Dunea D, Iordache S (2016) Analyzing the impact of airborne particulate matter on urban contamination with the help of hybrid neural networks. In: Garcia Rosa JL (ed) Artificial neural networks. IntechOpen. https://doi.org/10.5772/63109
Box G, Jenkins G (1976) Time series analysis: forecasting and control. Holden-Day, San Francisco
Dunea D, Iordache S (2011) Time series analysis of the heavy metals loaded wastewaters resulted from chromium electroplating process. Environ Eng Manage J 10(3):421–434
Chatfield C (1996) The analysis of time series, an introduction, 5th edn. Chapman and Hall, London
Pohoață A, Dunea D (2014) Statistical methods and mathematical algorithms for estimating children's exposure to particulate matter pollution. In: Iordache S, Dunea D (eds) Methods for the assessment of air pollution with particulate matter to children’s health. Ed. Matrix Rom, Bucharest
Valipour M, Banihabib ME, Mahmood S, Behbahani R (2013) Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir. J Hydrol 476:433–441
Nau FR (2005) Introduction to ARIMA: nonseasonal models. https://people.duke.edu/~rnau/411arim.htm. Accessed 20 July 2021
Schoch AL, Schilling KE, Chan KS (2009) Time-series modeling of reservoir effects on river nitrate concentrations. Adv Water Resour 32(8):1197–1205
Moeeni H, Bonakdari H, Ebtehaj I (2017) Integrated SARIMA with neuro-fuzzy systems and neural networks for monthly inflow prediction. Water Resour Manage 31(7):2141–2156
Fathian F, Mehdizadeh S, Sales AK, Safari MJS (2019) Hybrid models to improve the monthly river flow prediction: integrating artificial intelligence and non-linear time series models. J Hydrol 575:1200–1213
Han P, Wang PX, Zhang SY, Zhu DH (2010) Drought forecasting based on the remote sensing data using ARIMA models. Math Comput Model 51(11–12):1398–1403
Anda A, Soos G, da Silva JAT, Kozma-Bognar V (2015) Regional evapotranspiration from a wetland in Central Europe, in a 16-year period without human intervention. Agric For Meteorol 205:60–72
STATISTICA software Statsoft. Inc., Tulsa, OK, USA (2007) https://www.statistica.com/en/
Murphy BL, Morrison RD (eds) (2015) Introduction to environmental forensics, 3rd edn. Academic Press. https://doi.org/10.1016/C2012-0-01202-1
EEA (2021) European Environment Agency, Indicator assessment: water temperature. https://www.eea.europa.eu/data-and-maps/indicators/water-temperature-2/assessment. Accessed 20 July 2021
Marszelewski W, Pius B (2019) Effect of climate change on thermal-ice regime of shallow lakes compared to deep lakes: Case study of lakes in the temperate zone (Northern Poland). J Limnol 78(1). https://doi.org/10.4081/jlimnol.2018.1763
ICPR (2014) Estimation of the effects of climate change scenarios on future Rhine water temperature development. Extensive Version. ICPR Report. http://www.iksr.org/fileadmin/user_upload/Dokumente_de/Taetigkeitsberichte/214_en.pdf. Accessed 20 July 2021
van Vliet MTH et al (2013) Global river discharge and water temperature under climate change. Glob Environ Change 23(2):450–464. https://doi.org/10.1016/j.gloenvcha.2012.11.002
Water Enciclopedia (2021) http://www.waterencyclopedia.com/Re-St/Stream-Ecology-Temperature-Impacts-on.html#ixzz6jA7P8PmB. Accessed 20 July 2021
Climate Data Store—Copernicus (2021) https://cds.climate.copernicus.eu/. Accessed 20 July 2021
Ouellet V, St-Hilaire A, Dugdale SJ, Hannah DM et al (2020) River temperature research and practice: recent challenges and emerging opportunities for managing thermal habitat conditions in stream ecosystems. Sci Total Environ 736:139679
Crețescu I, Kovács Z, Cîmpeanu SM (2016). Monitoring of surface water status in the Lower Danube Basin, In: Bucur D (ed) River basin management. IntechOpen. https://doi.org/10.5772/64399
Acknowledgements
This work was supported by a grant of the Romanian National Authority for Scientific Research, CNDI—UEFISCDI, project number PN-III-1.2-PCCDI-2017-0721 (https://inter-aspa.ro/).
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Dunea, D., Brețcan, P., Șerban, G., Tanislav, D., Țuchiu, E., Iordache, Ș. (2022). Water Temperature Variability in the Lower Danube River. In: Negm, A., Zaharia, L., Ioana-Toroimac, G. (eds) The Lower Danube River. Earth and Environmental Sciences Library. Springer, Cham. https://doi.org/10.1007/978-3-031-03865-5_5
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