Evaluation and Management of Climate Change Impacts on Water Resources in Khorramabad River Basin, Iran, Using an Integrated Modeling Approach

Document Type : Research Paper

Authors

Faculty of Geosciences , Shahid Chamran University of Ahvaz, Iran

Abstract

Climate change is one of the most significant challenges for some arid and semi-arid regions, potentially limiting access to water resources in the future. Integrated water resource management in these areas could be a viable approach to adapt the impacts of climate change. This study examines the effects of climate change on the surface and groundwater resources of the Khorramabad River Basin using the MODFLOW and WEAP models. Initially, the current conditions of surface and groundwater resources were simulated monthly using the WEAP and MODFLOW models for the statistical period from October 2010 to September 2023. The two models were then linked, yielding values of NSE=0.87, RMSE=0.65, and R²=0.97, indicating the acceptable performance of the WEAP-MODFLOW model in simulating surface and groundwater. Subsequently, the status of surface and groundwater resources was projected for the future (2025–2060) under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios. The results from these scenarios show a decline in annual average precipitation and an increase in minimum and maximum annual temperatures. According to the results of the integrated WEAP-MODFLOW model, the annual average river discharge, groundwater levels, and aquifer storage will decline under SSPs scenarios compared to the baseline period. Therefore, Climate change will hinder the availability of drinking and industrial water. Constructing the Makhmalkouh Dam could nearly fulfill the water demands for both drinking and industrial sectors across all three SSPs scenarios. This dam's construction would also mitigate groundwater level drawdown and increase aquifer storage relative to a scenario without the dam.

Keywords

Main Subjects


Article Title [Persian]

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Akhtar, M.K., Wibe, J., Simonovic, SP., Mac-Gee, J., 2013. Integrated assessment model of society-biosphere-climate-economyenergy system. Environmental modeling Software 49: 1-21.
Allen, D., Scibeck, J., 2004. Climate Change and Groundwater, A Modeling Approach for Identifying Impacts and Resource Sustainability in the British Columbia. Technical Report Fraser University Canada.
An.Vo, D.A., Mushtaq, S., Reardon, S.K., 2015. Estimating the value of conjunctive water use at a system-level using nonlinear programing model. J Econ Soc Policy 17(2): 163-182
Ashofteh, P.S., Kalhori, M., Singh, V.P., 2024. Water resources management considering groundwater instability affected by climate change scenarios. Physics and Chemistry of the Earth.https://doi.org/10.1016/j.pce.2024.103606
Bahir, M., Ouhamdouch, S., Ouazar, D., 2021. An assessment of the changes in the behavior of the groundwater resources in arid environment with global warming in Morocco. Groundwater for Sustainable Development 100541. https://doi.org/10.1016/j.gsd.2020.100541
Caloiero, T., Veltri, S., Caloiero, P., Frustaci, F., 2018. Drought Analysis in Europe and in the Mediterranean Basin Using the Standardized Precipitation Index. Water, 10 (8): 1043.https://doi.org/10.3390/w10081043
Connolley, W.M., Bracegirdle, T.J., 2007. An Antarctic assessment of IPCC AR4 coupled models. Geophys. Res. Lett. 34(22), https://doi.org/10.1029/2007gl031648
Dehghanipour, A.H., Zahabiyoun, B., Schoups, G., Babazadeh, H., 2019. AWEAP-MODFLOW surface water-groundwater model for the irrigated Miyandoab plain, Urmia lake basin, Iran: Multi-objective calibration and quantification of historical drought impacts. Agricultural Water Management 223 (2019)105704. https://doi.org/10.1016/j.agwat.2019.105704
Diaz.Nieto, J., Wilby, R.L., 2005. A comparison of statistical down-scaling and climate change factor methods: impacts on low flows in the River Thames United Kingdom. Clim Change 69(2): 245-268
Droubi, A., Al-Sibai, M., Abdallah, A., Wolfer, J., Huber, M., Hennings, V., El-Hajji, K., Dechiech, M., 2008 a. Management, Protection and Sustainable Use of Groundwater and Soil Resources in the Arab Region. Development and Application of a Decision Support System (DSS) for Water Resources Management in Zabadani Basin. Evaluation, SYRIA and Berrechid Basin, MOROCCO.
Droubi, A., Al-Sibai, M., Abdallah, A., Zahra, S., Obeissi, M., Wolfer, J., Huber, M., Hennings, V., Schelkes, K., 2008b. A decision support system (DSS) for water resources management–design and results from a pilot study in Syria. Climatic Changes and Water Resources in the Middle East and North Africa pp 199-225. https://doi.org/10.1007 /978-3-540-85047-2_16.
Elmahdi, A., El-Gafy, I., Kheireldin, K., 2008. WBFS model: strategic water and food security planning on national wide level. IGU-2008Water sustainability commission: Tunis.
Goderniaux, P., 2011. Modeling climate change impacts on groundwater resources using stochastic climate scenarios. Water Resource. Reserch 47.
Gohari, A., Eslamian, S., Abedi-Koupae, J., Massah Bavani, A., Wang, D., Madani, K., 2013. Climate change impacts on crop production in Iran’s Zayandeh-Rud River Basin. Sci. Total Environ. 442:405-419.
Guevara-Ochoa, C., Sierra, A.M., Vives, L., 2020. Spatio-temporal effect of climate change on water balance and interactions between groundwater and surface water in plains. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.137886
Hadded, R., Maroua, B-A., Nouiri, I., Tarhouni, J., 2018. Assesment of the climate change impact on the zeuss koutine aquifer (tunisia) using a weap-modflow dss. 3rd International Conference on Integrated Environmental Management for Sustainable Development. ISSN:1737-3638.
Hadded, R., Nouiri, I., Alshihabi, O., Mabmann, J., Huber, M., Laghouane, A., Yahiaoui, H., Tarhouni, J., 2013. A Decision Support System to Manage the Groundwater of the Zeuss Koutine Aquifer Using the WEAP-MODFLOW Framework. Water Resour Manage 27: 1981-2000. https://doi.org/10.1007/s11269-013-0266-7.
Hadri, A., El-Mehdi, S., El-Khalki, E-M., Aachrine, B., Saouabe, T., Ait-Elmaki, A., 2022. Integrated water management under climate change through the application of the WEAP model in a Mediterranean arid region. Journal of Water and Climate Change 13 (6): 2414-2442. https://doi.org/10.2166/wcc.2022.039
Hashemi, F., Olesen, J.E., Jabloun, M., Hansen, A.L., 2018. Reducing uncertainty of estimated nitrogen load reductions to aquatic systems through spatially targeting agricultural mitigation measures using groundwater nitrogen reduction. Journal of Environmental Management 218:451-464. https://doi.org/10.1016/j.jenvman.2018.04.078
Hawkins, E., Sutton, R., 2009. The potential to narrow uncertainty in regional climate predictions. Bull. Am. Meteorol. Soc. 90: 1095-1107.
Hssaisoune, M., Bouchaou, L., Sifeddine, A., 2020. Moroccan Groundwater Resources and Evaluation with Global Climate Changes. Innovative Infrastructure Solutions. https://doi.org/10.1007/s41062- 022-00992-9
Hulme, M., Jones, P.D., 1994. Global climate change in the instrumental period. Environ Pollute 83(1–2): 23-36
Iizumi, T., Semenov, M-A., Nishimori, M., Ichigooka, Y., Kuwagata, T., 2012. ELPIS-JP: a data set of local-scale daily climate change scenarios for Japan. Phil Trans R Soc A 370: 1121-1139. https://doi:10.1098/rsta.2011.0305
IPCC., 2007. Summary for Policymakers in Climate Change, The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge. PP. 1-18.
Iranshahi, M., Ebrahimi, B., Yousefi, H., Moridi, A., 2022. Investigating the Effects of Climate Change on Temperature and Precipitation Using Neural Network and CMIP6 (Case Study: Aleshtar and Khorramabad Stations). Journal of Water and Irrigation Management, 12 (4): 821-845. http://doi.org/10.22059/jwim.2022.346796.1009
Lipczynska-Kochany, E., 2018. Effect of climate change on humic sub-stances and associated impacts on the quality of surface water and groundwater: a review. Sci Total Environ 640:1548-1565
Marchane, A., Tramblay, Y., Hanich, L., Ruelland, D., Jarlan, L., 2017. Climate change impacts on surface water resources in the Rheraya catchment (High-Atlas, Morocco). Hydrological sciences Journal 62 (6): 979-995. https://doi.org/10.1080/02626667.2017.1283042
Milan, S.G., Kayhomayoon, Z., Azar, N.A., Berndtsson, R., Ramezani, M.R., Moghaddam, H.K., 2023. Using machine learning to determine acceptable levels of groundwater consumption in Iran. Sustain Prod Consum 35: 388-400. https://doi.org/10.1016/j.spc.2022.11.018
Mirzaee, S.Y., Amiri, R., Chitsazan, M., 2023. Numerical investigation of groundwater fluctuations affected by climate changes in Khorramabad River basin. Journal of Engineering Geology 17 (4): 506-528. http://jeg.khu.ac.ir/article-1-3091-fa.html
Mirzaee, S.Y., Amiri, R., Chitsazan, M., Nadri, A., 2023. Evaluation of Maydavood_Dallan Aquifer in Various Management Scenarios Using a Mathematical Model. Journal of Irrigation and Water Engineering 52(4):308-328. https://doi.org/10.22125/IWE.2023.173303
Moghaddam, S.H., Ashofteh, P.S., Loáiciga, H.A., 2023. Use of surface water and groundwater under climate change: Khorramabad basin, Iran. Proceedings of the Institution of Civil Engineers – Water Management 176(2): 53 -65, https://doi.org/10.1680/jwama.19.00011
Mundetiaa, N., Sharmab, D., Sharmab, A., 2024. Groundwater sustainability assessment under climate change scenarios using integrated modelling approach and multi-criteria decision method. Ecological Modelling 487(2024)110544. https://doi.org/10.1016/j.ecolmodel.2023.110544
Naderi, M., Raeisi, E., Zarei, M., 2016. The impact of halite dissolution of salt diapirs on surface and ground water under climate change, South-Central Iran. Environmental Earth Sciences, 75(8): 708.
Naderi, M., Saatsaz, M., 2020. Impact of climate change on the hydrology and water salinity in the Anzali Wetland, northern Iran. Hydrological Sciences Journal. https://doi.org/10.1080/02626667. 2019.1704761
Nassery, H.R., Zeydalinejad, N., Alijani, F., Shakiba, A., 2021. A proposed modelling towards the potential impacts of climate change on a semi‑arid, small‑scaled aquifer: a case study of Iran. Environ Monit Assess, 193:182. https://doi.org/10.1007/s10661-021-08955-w.
Olivos, L.M.O., Méllo, Jr., A-V., 2023. Integrated management of groundwater and surface water under climate change scenarios. Brazilian Journal of Water Resources. https://doi.org/10.1590/2318- 0331.282320220095
Ostad-Ali-Askari, K., 2022. Investigation of meteorological variables on runoff archetypal using SWAT: basic concepts and fundamentals. Appl Water Sci 12(8):177. https://doi.org/10.1007/ s13201-022-01701-8
Panahi, M., Misaghi, F., Ahmadi-Tazekandi, F., 2021. Study of Climate Change Impact on Water Resources Allocation in Maragheh Plain Using WEAP Model. Water Harvesting Research, Original Paper p. https://doi.org/153-166.10.22077/JWHR.2022.4974.1048
Patil, N.S., Chetan, N.L., Nataraja, M., Suthar, S., 2020. Climate change scenarios and its effect on groundwater level in the Hiranyakeshi watershed. Groundwater for Sustainable Development, 100323. https://doi.org/10.1016/j.gsd.2019.100323
Pulido-Velazquez, M., Peña-Haro, S., García-Prats, A., Mocholi-Almudever, A.F., Henriquez-Dole, L., Macian-Sorribes, H., Lopez-Nicolas, A., 2014. Integrated assessment of the impact of climate and land use changes on groundwater quantity and quality in the Mancha Oriental system (Spain),
Hydrol. Earth Syst Sci 19, 1677–1693, 2015 www.hydrol-earth-syst-sci.net/19/1677/2015/. https://doi.org/10.5194/hess-19-1677-2015
Ragab, R., Prudhomme, C., 2002. SW – soil and water: climate change and water resources management in arid and semi-arid regions: prospective and challenges for the 21st century. Biosystems Engineering 81 (1): 3-34.
Rahimi-Jamnani, M., Kayhomayoon, Z., Arya-Azar, N., Ghordoyee-Milan, S., Najafi-Marghmaleki, S., Berndtsson, R., 2024. Large discrepancy between future demand and supply of agricultural water in northwestern Iran; evidence from WEAP-MODFLOW-machine learning under the CMIP6 scenario. Computers and Electronics in Agriculture 216 108505. https://doi.org/10.1016/j.compag. 2023.108505
Rajendran, M., Gunawardena, E.R.N., Dayawansa, N.D.K., 2020. Runoff Prediction in an Ungauged Catchment of Upper Deduru Oya Basin, Sri Lanka: A Comparison of HEC-HMS and WEAP Models. International Journals of Sciences and High Technologies, 121-129.
Racsko, P., Szeidl, L., Semenov, M., 1991. A serial approach to local stochastic weather models. Ecol Model 57: 27-41
Raju, K.S., Kumar, D.N., 2018. Impact of climate change on water resources. Springer, Singapore Richardson, C.W., 1981. Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resour Res 17(1): 182-190
Roosmalen, L., Sonnenborg, T.O., Jensen, K.H., 2009. Impact of climate and land use change on the hydrology of a large-scale agricultural catchment. Water Resour Res 45, W00A15. https://doi:10.1029/2007WR006760
Sabale, R., Venkatesh, B., Jose, M., 2022. Sustainable water resource management through conjunctive use of groundwater and surface water: a review. Innovative Infrastructure Solutions 8:17 https://doi.org/10.1007/s41062-022-00992-9
Schoups, G., Addams, C.L., Minjares, J.L., Gorelick, S.M., 2006. Sustainable conjunctive water management in irrigated agriculture model formulation and application to the Yaqui Valley, Mexico. Water Resources Research. https://doi.org/10.1029/2006WR004922.
SEI., 2019. WEAP (Water Evaluation and Planning System): Guideline and Tutorial of WEAP model. Serrat-Capdevila, A., Valdés, J.B., Pérez, J.G., Baird, K., Mata, L.J., Maddock, T., 2007. Modeling climate change impacts -and uncertainty- on the hydrology of a riparian system: the San Pedro Basin (Arizona/Sonora). J Hydrology. 347: 48-66.
Semenov, M.A., Barrow, E.M., 2002. LARS-WG: a stochastic weather generator for use in climate impact studies. User manual. Semenov, M.A., Stratonovitch, P., 2010. Use of multi-model ensembles from global climate models for
assessment of climate change impacts. Clim Res 41:1-14
Sheikha‑BagemGhaleh, S., Babazadeh, H., Rezaie, H., Sarai‑Tabrizi, M., 2023. The effect of climate change on surface and groundwater resources using WEAP‑MODFLOW models. Applied Water Science 13:121. https://doi.org/10.1007/s13201-023-01923-4
Singh, A., Panda, S.N, 2012. Effect of saline irrigation water on mustard (Brassica juncea) crop yield and soil salinity in a semiarid area of north India. Experimental Agriculture 48(1):99-110.
Strauss, F., Formayer, H., Schmid, E., 2013. High resolution climate data for Austria in the period 2008– 2040 from a statistical climate change model. Int. J. Climatol. 33: 430-443.
Tao, F., Zhang, Z., 2010. Adaptation of maize production to climate change in North China Plain: quantify the relative contributions of adaptation options. Eur. J.
Yates, D., Sieber, J., Purkey, D., Huber-Lee, A.,2005. WEAP21 – A Demand, Priority, and Preference- Driven Water Planning Model/Part 1: Model Characteristics. International Water Resources Association-Water International 30: 487-500.
Zhang, X., 2015. Conjunctive surface water and groundwater management under climate change. Front. Environ. Sci. 3:59. https://doi.org/10.3389/fenvs.2015.00059

Articles in Press, Accepted Manuscript
Available Online from 28 July 2025
  • Receive Date: 22 April 2025
  • Revise Date: 31 May 2025
  • Accept Date: 28 July 2025