Abstract
Purpose
The purpose of this study is to identify future changes in weather variables (precipitation and temperature) due to climate change using different general circulation models (GCMs) for different emission scenarios, so as to assess the impact of climate change on river discharge and sediment yield in the Dehbar river basin in Iran.
Materials and methods
The magnitude and uncertainty of the impact of climate change on river discharge and sediment yield in the Dehbar river basin in Iran is quantified using a calibrated and validated SWAT model with future weather inputs generated using the LARS-WG6 program to downscale the output of five large-scale GCMs for three possible emission scenarios (RCP26, RCP45, and RCP85) and the period 2021–2040.
Results and discussion
Annual maximum and minimum temperatures are projected to increase by 22–28% and 65–84%, respectively, with a 1-month shift in temperature peak. The future rainfall amounts show both increasing (fall and winter) and decreasing (spring and summer) trends. Future temperature and rainfall patterns are predicted to cause the largest flows to occur a month earlier (February instead of March), an increase in discharge in the “wet” months of fall and winter (up to 137%) and a decrease in the “dry” months of spring and summer (down to − 100%). Sediment yield, which is caused by runoff (also controlling river discharge), has a similar projected trend, with a general decrease in spring and summer (down to − 95%) and an increase in fall and winter (up to 340%). The coefficient of variation of the future monthly, seasonal and annual river discharges and sediment yields are relatively low, revealing a general agreement in projections among the different GCM and RCP scenarios considered.
Conclusions
This study highlights the significant negative impact of climate change on the Dehbar river basin, with amplification of river flows and sediment concentrations in the wet season and increased water scarcity in the dry season. Both effects may adversely impact the region’s livelihood (cultivation, fish farming) and land resources.
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References
Abbaspour KC, Rouholahnejad E, Vaghefi S, Srinivasan R, Yang H, Kløve B (2015) A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model. J Hydrol 524:733–752. https://doi.org/10.1016/j.jhydrol.2015.03.027
Abdulelah Al-Sudani Z, Salih SQ, Sharafati A, Yaseen ZM (2019) Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation. J Hydrol 573:1–12. https://doi.org/10.1016/j.jhydrol.2019.03.004
Adib A, Mahmoodi A (2017) Prediction of suspended sediment load using ANN GA conjunction model with Markov chain approach at flood conditions. KSCE J Eng 21:447–457. https://doi.org/10.1007/s12205-016-0444-2
Afshar NR, Fahmi H (2019) Impact of climate change on water resources in Iran. Int J Energy Water Resour 3:55–60
Afshar AA, Hassanzadeh Y (2017) Determination of monthly hydrological erosion severity and runoff in torogh dam watershed basin using SWAT and WEPP models. Iran J Sci Technol - Trans Civ Eng 41:221–228. https://doi.org/10.1007/s40996-017-0056-1
Alewell C, Borelli P, Meusburger K, Panagos P (2019) Using the USLE: chances, challenges and limitations of soil erosion modelling. Int Soil Water Conserv Res 7:203–225
Alikadic A, Pertot I, Eccel E, Dolci C, Zarbo C, Caffarra A, de Filippi R, Furlanello C (2019) The impact of climate change on grapevine phenology and the influence of altitude: a regional study. Agric For Meteorol 271:73–82. https://doi.org/10.1016/j.agrformet.2019.02.030
Bannayan M, Rezaei EE (2014) Future production of rainfed wheat in Iran (Khorasan province): climate change scenario analysis. Mitig Adapt Strateg Glob Chang 19:211–227
Bharati L, Gurung P, Jayakody P (2012) Hydrologic characterization of the Koshi basin and the impact of climate change. Hydro Nepal J Water, Energy Environ 11:18–22. https://doi.org/10.3126/hn.v11i1.7198
Cerdà A, Jordán A (2017) Soil mapping and processes models for sustainable land management applied to modern challenges. Soil Mapp Process Model Sustain L Use Manag 151–190. doi: https://doi.org/10.1016/B978-0-12-805200-6.00006-2
Cortina A, Filippelli G, Ochoa D, Sierro FJ, Flores JA, Grimalt JO (2018) Climate-driven changes in sedimentation rate influence phosphorus burial along continental margins of the northwestern Mediterranean. Palaeogeogr Palaeoclimatol Palaeoecol 500:106–116. https://doi.org/10.1016/j.palaeo.2018.03.010
Dahal V, Shakya NM, Bhattarai R (2016) Estimating the impact of climate change on water availability in Bagmati basin, Nepal. Environ Process 3:1–17. https://doi.org/10.1007/s40710-016-0127-5
Dakhlalla AO, Parajuli PB (2019) Assessing model parameters sensitivity and uncertainty of streamflow, sediment, and nutrient transport using SWAT. Inf Process Agric 6:61–72. https://doi.org/10.1016/j.inpa.2018.08.007
de Oliveira VA, de Mello CR, Beskow S, Viola MR, Srinivasan R (2019) Modeling the effects of climate change on hydrology and sediment load in a headwater basin in the Brazilian Cerrado biome. Ecol Eng 133:20–31
Delpla I, Jung A-V, Baures E, Clement M, Thomas O (2009) Impacts of climate change on surface water quality in relation to drinking water production. Environ Int 35:1225–1233. https://doi.org/10.1016/j.envint.2009.07.001
Duan Z, Tuo Y, Liu J, Gao H, Song X, Zhang Z, Yang L, Mekonnen DF (2019) Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia. J Hydrol 569:612–626. https://doi.org/10.1016/j.jhydrol.2018.12.026
Fereidoon M, Koch M (2018) SWAT-MODSIM-PSO optimization of multi-crop planning in the Karkheh river basin, Iran, under the impacts of climate change. Sci Total Environ 630:502–516. https://doi.org/10.1016/j.scitotenv.2018.02.234
Givati A, Thirel G, Rosenfeld D, Paz D (2019) Climate change impacts on streamflow at the upper Jordan river based on an ensemble of regional climate models. J Hydrol Reg Stud 21:92–109. https://doi.org/10.1016/j.ejrh.2018.12.004
Griffiths PG, Hereford R, Webb RH (2006) Sediment yield and runoff frequency of small drainage basins in the Mojave desert. California and Nevada Geomorphology 74:232–244
Hashmi MZ, Shamseldin AY, Melville BW (2011) Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed. Stoch Env Res Risk A 25:475–484. https://doi.org/10.1007/s00477-010-0416-x
Hewer MJ, Gough WA (2018) Thirty years of assessing the impacts of climate change on outdoor recreation and tourism in Canada. Tour Manag Perspect 26:179–192. https://doi.org/10.1016/j.tmp.2017.07.003
Jha PK, Athanasiadis P, Gualdi S, Trabucco A, Mereu V, Shelia V, Hoogenboom G (2019) Using daily data from seasonal forecasts in dynamic crop models for yield prediction: a case study for rice in Nepal’s Terai. Agric For Meteorol 265:349–358. https://doi.org/10.1016/j.agrformet.2018.11.029
Kourgialas NN, Koubouris GC, Dokou Z (2019) Optimal irrigation planning for addressing current or future water scarcity in Mediterranean tree crops. Sci Total Environ 654:616–632. https://doi.org/10.1016/j.scitotenv.2018.11.118
Li J, Abdulmohsin HA, Hasan SS, Kaiming L, al-Khateeb B, Ghareb MI, Mohammed MN (2019) Hybrid soft computing approach for determining water quality indicator: Euphrates river. Neural Comput & Applic 31:827–837
Lindner M, Maroschek M, Netherer S, Kremer A, Barbati A, Garcia-Gonzalo J, Seidl R, Delzon S, Corona P, Kolström M, Lexer MJ, Marchetti M (2010) Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. For Ecol Manag 259:698–709. https://doi.org/10.1016/j.foreco.2009.09.023
Liu H, Xu X, Lin Z, Zhang M, Mi Y, Huang C, Yang H (2016) Climatic and human impacts on quasi-periodic and abrupt changes of sedimentation rate at multiple time scales in lake Taihu, China. J Hydrol 543:739–748. https://doi.org/10.1016/j.jhydrol.2016.10.046
McCool DK, Brown LC, Foster GR, et al (1987) Revised slope steepness factor for the universal soil loss equation. Trans am Soc Agric Eng 30:1387–1396. Doi: https://doi.org/10.13031/2013.30576
McGuire AD, Sitch S, Clein JS, et al (2001) Carbon balance of the terrestrial biosphere in the twentieth century: analyses of CO2, climate and land use effects with four process-based ecosystem models. Glob Biogeochem Cycles 15:183–206. doi: https://doi.org/10.1029/2000gb001298,
Müller-Nedebock D, Chaplot V (2015) Soil carbon losses by sheet erosion: a potentially critical contribution to the global carbon cycle. Earth Surf Process Landf 40:1803–1813. https://doi.org/10.1002/esp.3758
Nabaei S, Sharafati A, Yaseen ZM, Shahid S (2019) Copula based assessment of meteorological drought characteristics: regional investigation of Iran. Agric For Meteorol 276:107611
Nilawar AP, Waikar ML (2019) Impacts of climate change on streamflow and sediment concentration under RCP 4.5 and 8.5: a case study in Purna river basin, India. Sci Total Environ 650:2685–2696. https://doi.org/10.1016/j.scitotenv.2018.09.334
Nourani V, Baghanam AH, Gokcekus H (2018) Data-driven ensemble model to statistically downscale rainfall using nonlinear predictor screening approach. J Hydrol 565:538–551. https://doi.org/10.1016/j.jhydrol,.2018.08.049
Olyaie E, Banejad H, Chau K-W, Melesse AM (2015) A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States. Environ Monit Assess 187:189. https://doi.org/10.1007/s10661-015-4381-1
Osman Y, Al-Ansari N, Abdellatif M (2017) Climate change model as a decision support tool for water resources management in northern Iraq: a case study of Greater Zab River. J Water Clim Chang 8:1–14
Panagos P, Borrelli P, Poesen J, Ballabio C, Lugato E, Meusburger K, Montanarella L, Alewell C (2015) The new assessment of soil loss by water erosion in Europe. Environ Sci Pol 54:438–447. https://doi.org/10.1016/j.envsci.2015.08.012
Phan DB, Wu CC, Hsieh SC (2011) Impact of climate change on stream discharge and sediment yield in northern Viet Nam. Water Res 38:827–836
Pimentel D (2006) Soil erosion: a food and environmental threat. Environ Dev Sustain 8:119–137. https://doi.org/10.1007/s10668-005-1262-8
Qi J, Zhang X, Wang Q (2019) Improving hydrological simulation in the Upper Mississippi river basin through enhanced freeze-thaw cycle representation. J Hydrol 571:605–618. https://doi.org/10.1016/j.jhydrol.2019.02.020
Qutbudin I, Shiru MS, Sharafati A, Ahmed K, al-Ansari N, Yaseen ZM, Shahid S, Wang X (2019) Seasonal drought pattern changes due to climate variability: case study in Afghanistan. Water 11:1096
Racsko P, Szeidl L, Semenov M (1991) A serial approach to local stochastic weather models. Ecol Model 57:27–41. https://doi.org/10.1016/0304-3800(91)90053-4
Ramos MC, Martínez-Casasnovas JA (2015a) Soil water content, runoff and soil loss prediction in a small ungauged agricultural basin in the Mediterranean region using the soil and water assessment tool. J Agric Sci 153:481–496. https://doi.org/10.1017/S0021859614000422
Ramos MC, Martínez-Casasnovas JA (2015b) Climate change influence on runoff and soil losses in a rainfed basin with Mediterranean climate. Nat Hazards 78:1065–1089. https://doi.org/10.1007/s11069-015-1759-x
Rivas-Tabares D, Tarquis AM, Willaarts B, De Miguel Á (2019) An accurate evaluation of water availability in sub-arid Mediterranean watersheds through SWAT: Cega-Eresma-Adaja. Agric Water Manag 212:211–225. https://doi.org/10.1016/j.agwat.2018.09.012
Routschek A, Schmidt J, Kreienkamp F (2014) Impact of climate change on soil erosion — a high-resolution projection on catchment scale until 2100 in Saxony/Germany. Catena 121:99–109. https://doi.org/10.1016/j.catena.2014.04.019
Salih SQ, Sharafati A, Khosravi K et al (2019) River suspended sediment load prediction based on river discharge information: application of newly developed data mining models. Hydrol Sci J 65:624–637. https://doi.org/10.1080/02626667.2019.1703186
Samadi S, Ehteramian K, Sarraf BS (2011) SDSM ability in simulate predictors for climate detecting over Khorasan province. Procedia-Social Behav Sci 19:741–749
Schiefer E, Petticrew EL, Immell R, Hassan MA, Sonderegger DL (2013) Land use and climate change impacts on lake sedimentation rates in western Canada. Anthropocene 3:61–71. https://doi.org/10.1016/j.ancene.2014.02.006
Senapati N, Brown HE, Semenov MA (2019) Raising genetic yield potential in high productive countries: designing wheat ideotypes under climate change. Agric For Meteorol 271:33–45. https://doi.org/10.1016/j.agrformet.2019.02.025
Sha J, Li X, Wang Z-L (2019) Estimation of future climate change in cold weather areas with the LARS-WG model under CMIP5 scenarios. Theor Appl Climatol 137:1–13. https://doi.org/10.1007/s00704-019-02781-4
Sharafati A, Azamathulla HM (2018) Assessment of dam overtopping reliability using SUFI based overtopping threshold curve. Water Resour Manag 32:2369–2383
Sharafati A, Pezeshki E (2019) A strategy to assess the uncertainty of a climate change impact on extreme hydrological events in the semi-arid Dehbar catchment in Iran. Theor Appl Climatol:1–14
Sharafati A, Zahabiyoun B (2013) Stochastic generation of storm pattern. Life Sci J 10
Sharafati A, Zahabiyoun B (2014) Rainfall threshold curves extraction by considering rainfall-runoff model uncertainty. Arab J Sci Eng 39:6835–6849. https://doi.org/10.1007/s13369-014-1246-9
Sharafati A, Khosravi K, Khosravinia P, Ahmed K, Salman SA, Yaseen ZM, Shahid S (2019a) The potential of novel data mining models for global solar radiation prediction. Int J Environ Sci Technol 16:7147–7164. https://doi.org/10.1007/s13762-019-02344-0
Sharafati A, Nabaei S, Shahid S (2019b) Spatial assessment of meteorological drought features over different climate regions in Iran. Int J Climatol joc.6307. https://doi.org/10.1002/joc.6307
Shi L (2019) Promise and paradox of metropolitan regional climate adaptation. Environ Sci Pol 92:262–274. https://doi.org/10.1016/j.envsci.2018.11.002
Shiau JT, Chen TJ (2015) Quantile regression-based probabilistic estimation scheme for daily and annual suspended sediment loads. Water Resour Manag 29:2805–2818. https://doi.org/10.1007/s11269-015-0971-5
Shrestha B, Babel MS, Maskey S, van Griensven A, Uhlenbrook S, Green A, Akkharath I (2013) Impact of climate change on sediment yield in the Mekong River basin: a case study of the Nam Ou basin, Lao PDR. Hydrol Earth Syst Sci 17:1–20
Shrestha B, Cochrane TA, Caruso BS, Arias ME, Piman T (2016) Uncertainty in flow and sediment projections due to future climate scenarios for the 3S Rivers in the Mekong Basin. J Hydrol 540:1088–1104
Shrestha NK, Allataifeh N, Rudra R, Daggupati P, Goel PK, Dickinson T (2019) Identifying threshold storm events and quantifying potential impacts of climate change on sediment yield in a small upland agricultural watershed of Ontario. Hydrol Process 33:920–931
Solotchina EP, Bezrukova EV, Solotchin PA, Shtok O, Zhdanova AN (2018) Late Pleistostene-Holocene sedimentation in lakes of central Transbaikalia: implications for climate and environment changes. Russ Geol Geophys 59:1419–1432. https://doi.org/10.1016/j.rgg.2018.10.003
Stevens B, Giorgetta M, Esch M, Mauritsen T, Crueger T, Rast S, Salzmann M, Schmidt H, Bader J, Block K, Brokopf R, Fast I, Kinne S, Kornblueh L, Lohmann U, Pincus R, Reichler T, Roeckner E (2013) Atmospheric component of the MPI-M earth system model: ECHAM6. J Adv Model Earth Syst 5:146–172. https://doi.org/10.1002/jame.20015
van der Velde M, Balkovič J, Beer C, Khabarov N, Kuhnert M, Obersteiner M, Skalský R, Xiong W, Smith P (2014) Future climate variability impacts on potential erosion and soil organic carbon in European croplands. Biogeosci Discuss 11:1561–1585. https://doi.org/10.5194/bgd-11-1561-2014
Vaughan A (2019) A century of global warming. New Sci 242:14. https://doi.org/10.1016/S0262-4079(19)30765-1
White S (2005) Sediment yield prediction and modelling. Hydrol Process 19:3053–3057. https://doi.org/10.1002/hyp.6003
Wilby R, Dawson C, Barrow E (2002) sdsm — a decision support tool for the assessment of regional climate change impacts. Environ Model Softw 17:145–157. https://doi.org/10.1016/S1364-8152(01)00060-3
Williams JR, Berndt HD (1977) Sediment yield prediction based on watershed hydrology. Trans am Soc Agric Eng 20:1100–1104. Doi: https://doi.org/10.13031/2013.35710
Williams JR, Kannan N, Wang X, Santhi C, Arnold JG (2012) Evolution of the SCS runoff curve number method and its application to continuous runoff simulation. J Hydrol Eng 17:1221–1229. https://doi.org/10.1061/(asce)he.1943-5584.0000529
Wu D, Cui Y, Xie X, Luo Y (2019) Improvement and testing of SWAT for multi-source irrigation systems with paddy rice. J Hydrol 568:1031–1041. https://doi.org/10.1016/j.jhydrol.2018.11.057
Yaseen Z, Ehteram M, Sharafati A, Shahid S, al-Ansari N, el-Shafie A (2018a) The integration of nature-inspired algorithms with least square support vector regression models: application to modeling river dissolved oxygen concentration. Water 10:1124
Yaseen ZM, Awadh SM, Sharafati A, Shahid S (2018b) Complementary data-intelligence model for river flow simulation. J Hydrol 567:180–190. https://doi.org/10.1016/j.jhydrol.2018.10.020
Zhang R, Corte-Real J, Moreira M, Kilsby C, Birkinshaw S, Burton A, Fowler HJ, Forsythe N, Nunes JP, Sampaio E, dos Santos FL, Mourato S (2019a) Downscaling climate change of water availability, sediment yield and extreme events: application to a Mediterranean climate basin. Int J Climatol 39:2947–2963
Zhang S, Li Z, Hou X, Yi Y (2019b) Impacts on watershed-scale runoff and sediment yield resulting from synergetic changes in climate and vegetation. Catena 179:129–138
Zhao G, Mu X, Jiao J, Gao P, Sun W, Li E, Wei Y, Huang J (2018) Assessing response of sediment load variation to climate change and human activities with six different approaches. Sci Total Environ 639:773–784. https://doi.org/10.1016/j.scitotenv.2018.05.154
Zheng Y, Yang S, Deng C (2019) Provenance and climate changes inferred from magnetic properties of the sediments from the lower Yangtze river (China) during the last 130 years. J Asian Earth Sci 175:128–137. https://doi.org/10.1016/j.jseaes.2019.01.036
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Sharafati, A., Pezeshki, E., Shahid, S. et al. Quantification and uncertainty of the impact of climate change on river discharge and sediment yield in the Dehbar river basin in Iran. J Soils Sediments 20, 2977–2996 (2020). https://doi.org/10.1007/s11368-020-02632-0
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DOI: https://doi.org/10.1007/s11368-020-02632-0