Abstract
Landuse and climate change are the two main dynamics significantly affecting watershed hydrology. Adequate knowledge about how these changes will alter the hydrologic regime provides valuable information for future water resources planning and management. The current study attempts to analyze the joint consequences of these dynamics on the future hydrological response of the Gorganroud watershed in northern Iran. For landuse, the integrated Markov Chain analysis and Multi-Layer Perceptron Neural Network (MC-MLPNN) algorithm were used to obtain landuse for 2030 and 2050. For climate, we developed future scenarios based on the downscaled data from MPI-ESM-MR for 2021–2040 and 2041–2060. Soil and Water Assessment Tool (SWAT) was used to simulate watershed hydrology. We found that (1) from 1986 to 2050, agriculture and rangeland are likely to expand by 18.6% and 10.7% of the total watershed area, respectively, at the expense of forest covers. (2) Temperature and precipitation are expected to increase by 1.3 °C and 2.5 °C and by 31.7% and 27.1% for Representative Concentration Pathway 8.5 (RCP8.5) during 2021–2040 and 2041–2060, respectively, compared to the baseline of 1976–1995. (3) We found that the integrated landuse and climate change will likely increase annual evapotranspiration during 2021–2040 and 2041–2060 by 113.9% and 11.4%, lateral flow by 14.6% and 7%, baseflow by 166.7% and 77.2%, surface runoff by 54.2% and 41%, water yield by 50.5% and 35.9%, and streamflow by 48.6% and 32.1% for RCP8.5 compared to the baseline of 1976–1995.
Similar content being viewed by others
Data availability
The observed climate and hydrological data are available at the Iranian Meteorological Organization (IMO) and the Gloestan Regional Water Authority (GRWA), respectively. Furthermore, the satellite images dataset can be freely downloaded from the website of the United States Geological Survey (USGS), https://earthexplorer.usgs.gov.
References
Abassi F, Babaeian I, Malbousi Sh, Asmari M, Mokhtari LG (2012) Climate change assessment over Iran during future decades using statistical downscaling of ECHO-G model. Phys Geogr Res Q 27:205–230
Abbaspour KC (2022) The fallacy in the use of the “best-fit” solution in hydrologic modeling. Sci Total Environ 802:149713. https://doi.org/10.1016/j.scitotenv.2021.149713
Abbaspour KC, Yang J, Maximov I, Siber R, Bonger K, Meileitner J, Zobrist J, Srinivasan R (2007) Modeling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333:413–430. https://doi.org/10.1016/j.jhydrol.2006.09.014
Abbaspour KC, Faramarzi M, Seyed-Ghasemi S, Yang H (2009) Assessing the impact of climate change on water resources in Iran. Water Resour Res 45:10434. https://doi.org/10.1029/2008WR007615
Abbaspour KC, Ashraf Vaghefi S, Srinivasan R (2017) A guideline for successful calibration and uncertainty analysis for soil and water assessment: a review of papers from the 2016 International SWAT Conference. Water 10:6. https://doi.org/10.3390/w10010006
Aghsaei H, Mobarghaee Dinan N, Moridi A, Asadolahi Z, Delavar M, Fohrer N, Wagner PD (2020) Effects of dynamic land use/land cover change on water resources and sediment yield in the Anzali wetland catchment, Gilan. Iran Sci Total Environ 712:136449. https://doi.org/10.1016/j.scitotenv.2019.136449
Ahmadisharaf E, Lacher IL, Fergus C, Benham BL, Akre T, Kline KS (2020) Projecting landuse change impacts on nutrients, sediment and runoff in multiple spatial scales: business-as-usual vs. stakeholder-informed scenarios. J Clean Prod 257:120466. https://doi.org/10.1016/j.jclepro.2020.120466
Aladejana OO, Salami AT, Adetoro OO (2018) Hydrological responses to land degradation in the Northwest Benin Owena River Basin, Nigeria. J Environ Manage 225:300–312. https://doi.org/10.1016/j.jenvman.2018.07.095
Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment. Part I: model development. J Am Water Resour Assoc 34:73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x
Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, Santhi C, Harmel RD, Van Griensven A, Van Liew MW, Kannan N, Jha MK (2012) SWAT model use: calibration and validation. Trans ASABE 55:1491–1508. https://doi.org/10.13031/2013.42256
Asadolah Z, Norouzi Nazar MS (2020) Quantifying the soil erosion control ecosystem service under climate change in Gorganroud watershed. Environ Res 11:3–16
Asadolahi Z, Salmanmahiny A, Sakieh Y (2017) Hyrcanian forests conservation based on ecosystem services approach. Environ Earth Sci 76:365. https://doi.org/10.1007/s12665-017-6702-x
Asadolahi Z, Salmanmahiny A, Sakieh Y, Mirkarimi SH, Baral H, Azimi M (2018) Dynamic trade-off analysis of multiple ecosystem services under land use change scenarios: towards putting ecosystem services into planning in Iran. Ecol Complex 36:250–260. https://doi.org/10.1016/j.ecocom.2018.09.003
Ashraf Vaghefi S, Keykhai M, Jahanbakhshi F, Sheikholeslami J, Ahmadi A, Yang H, Abbaspour KC (2019) The future of extreme climate in Iran. Sci Rep 9:1464. https://doi.org/10.1038/s41598-018-38071-8
Awotwi A, Anornu GK, Quaye-Ballard JA, Annor T, Forkuo EK, Harris E, Agyekum J, Terlabie JL (2019) Water balance responses to land-use/land-cover changes in the Pra River Basin of Ghana, 1986–2025. CATENA 182:104–129. https://doi.org/10.1016/j.catena.2019.104129
Azari M, Moradi HR, Saghafian B, Faramarzi M (2015) Climate change impacts on streamflow and sediment yield in the North of Iran. Hydrol Sci J 61:123–133. https://doi.org/10.1080/02626667.2014.967695
Bahrami A, Emadodin I, Ranjbar Atashi M, Bork HR (2010) Land-use change and soil degradation: a case study, North of Iran. Agric Biol J North Am 1:600–605
Bajracharya AR, Bajracharya SR, Shrestha AB, Maharjan SB (2018) Climate change impact assessment on the hydrological regime of the Kaligandaki Basin. Nepal Sci Total Environ 625:837–848. https://doi.org/10.1016/j.scitotenv.2017.12.332
Bao Z, Zhang J, Yan X, Wang G, Jin J, Liu Y, Guan X (2019) Future streamflow assessment in the Haihe River basin located in northern China using a regionalized variable infiltration capacity model based on 18 CMIP5 GCMs. J Water Clim Change 11:1551–1569. https://doi.org/10.2166/wcc.2019.095
Bhatta B, Shrestha S, Shrestha PK, Talchabhadel R (2019) Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin. CATENA 181:104082. https://doi.org/10.1016/j.catena.2019.104082
Chen J, Chang H (2020) Relative impacts of climate change and land cover change on streamflow using SWAT in the Clackamas River Watershed, USA. J Water Clim Change 12:1454–1470. https://doi.org/10.2166/wcc.2020.123
Chen H, Pontius JRG (2010) Diagnostic tools to evaluate a spatial land change projection along a gradient of an explanatory variable. Landscape Ecol 25:1319–1331. https://doi.org/10.1007/s10980-010-9519-5
Delkash M, Al-Faraj FA, Scholz M (2018) Impacts of anthropogenic land use changes on nutrient concentrations in surface waterbodies: a review. Clean Soil, Air, Water 46:1800051. https://doi.org/10.1002/clen.201800051
Desai S, Singh DK, Islam A, Sarangi A (2021) Impact of climate change on the hydrology of a semi-arid river basin of India under hypothetical and projected climate change scenarios. J Water Clim Change 12:969–996. https://doi.org/10.2166/wcc.2020.287
Dibaba WT, Demissie TA, Miegel K (2020) Watershed hydrological response to combined landuse/land cover and climate change in highland Ethiopia: Finchaa Catchment. Water 12:1801. https://doi.org/10.3390/w12061801
Eastman JR (2012) IDRISI Selva Tutorial. Clark University, Worcester, MA, USA, pp 267–275
FAO, ISSS, ISRIC (1998) World reference base for soils resources. World Soil Resource Report No. 84. Rome, pp 91
Farjad B, Pooyandeh M, Gupta A, Motamedi M, Marceau D (2017) Modelling interactions between land use, climate, and hydrology along with stakeholders’ negotiation for water resources management. Sustainability 9:2022. https://doi.org/10.3390/su9112022
Ghahreman N, Tabatabaei M, Babaeian I (2015) Investigation of uncertainty in the IPCC AR5 precipitation and temperature projections over Iran under RCP scenarios. Proceedings of the 2015 United Nations climate change conference, 30 November-12 December, Paris. https://doi.org/10.13140/RG.2.1.1808.3683
Gleick PH (1987) The development and testing of a water balance model for climate impact assessment: modeling the Sacramento Basin. Water Resour Res 23:1049–1061. https://doi.org/10.1029/WR023i006p01049
Gupta HV, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng 4:135–143. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135)
Guzha AC, Rufino MC, Okoth S, Jacobs S, Nóbrega RLB (2018) Impacts of landuse and land cover change on surface runoff, discharge and low flows: evidence from East Africa. J Hydrol: Reg Stud 15:49–67. https://doi.org/10.1016/j.ejrh.2017.11.005
Haque S, Mostafa Ali Md, Saiful Islam AKM, Uddin Khan J (2021) Changes in flow and sediment load of poorly gauged Brahmaputra river basin under an extreme climate scenario. J Water Clim Change 12:937–954. https://doi.org/10.2166/wcc.2020.219
Hargreaves G, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1:96–99
Held IM, Soden BJ (2006) Robust responses of the hydrological cycle to global warming. J Climate 19:5686–5699. https://doi.org/10.1175/JCLI3990.1
Irannezhad M, Minaei M, Ahmadian S, Chen D (2018) Impacts of changes in climate and land cover-landuse on flood characteristics in Gorganrood Watershed (Northeastern Iran) during recent decades. Phys Geogr 100:340–350. https://doi.org/10.1080/04353676.2018.1515578
Kundua S, Khareb D, Mondala A (2017) Individual and combined impacts of future climate and landuse changes on the water balance. Ecol Eng 105:42–57. https://doi.org/10.1016/j.ecoleng.2017.04.061
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174. https://doi.org/10.2307/2529310
Li Z, Deng X, Wu F, Hasan SS (2015) Scenario Analysis for Water Resources in Response to Land Use Change in the Middle and Upper Reaches of the Heihe River Basin. Sustainability 7:3086–3108. https://doi.org/10.3390/su7033086
Liu M, Tian H, Chen G, Ren W, Zhang C, Liu J, Li J (2008) Effects of landus and landcover change on evapotranspiration and water yield in china during 1900–2000. J Am Water Res Assoc 44:1193–1207. https://doi.org/10.1111/j.1752-1688.2008.00243.x
Mahmoodi N, Wagner PD, Kiesel J, Fohrer N (2021) Modeling the impact of climate change on streamflow and major hydrological components of an Iranian Wadi system. J Water Clim Change 12:1598–1613. https://doi.org/10.2166/wcc.2020.098
Mehan S, Guo T, Gitau MW, Flanagan DC (2017) Comparative study of different stochastic weather generators for long-term climate data simulation. Climate 5:26. https://doi.org/10.3390/cli5020026
Modaresi F, Araghinejad Sh, Ebrahimi K, Kholghy M (2010) Regional assessment of climate change using statistical tests: case study of Gorganroud-Gharehsou Basin. J Water Soil 24. https://doi.org/10.22067/JSW.V0I0.3613
Moghadasi N, Karimirad I, Sheikh V (2017) Assessing the impact of landuse changes and rangeland and forest degradation on flooding using watershed modeling system. J Rangel Sci 7:93–106
Moradi Z, Mikaeili Tabrizi AR (2020) Relationship between landuse change and water yield in Gorgan-rood Watershed. J Watershed Manag Res 11:269–280
Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Am Soc Agric Biol Eng 50:885–900. https://doi.org/10.13031/2013.23153
Munoth P, Goyal R (2019) Impacts of landuse land cover change on runoff and sediment yield of Upper Tapi River Sub-Basin, India. Int J River Basin Manag 18:177–189. https://doi.org/10.1080/15715124.2019.1613413
Mwangi HM, Julich S, Patil SD, McDonald MA, Feger K (2016) Modeling the impact of agroforestry on hydrology of Mara River Basin in East Africa. Hydrol Proc 30:3139–3155. https://doi.org/10.1002/hyp.10852
Napoli M, Massetti L, Orlandini S (2017) Hydrological response to land use and climate changes in a rural hilly basin in Italy. CATENA 157:1–11. https://doi.org/10.1016/j.catena.2017.05.002
Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I – a discussion of principles. J Hydrol 10:282–290. https://doi.org/10.1016/0022-1694(70)90255-6
Norouzi Nazar M, Asgari E, Baaghideh M, Lotfi S (2020) Quantifying the long-term flood regulation ecosystem service under climate change using SWAT Model. Ecopersia 8:169–180
Norouzi Nazar MS, Asadolahi Z, Rabbani F (2018) Assessing the impact of future climate change on fresh water resources. The first national conference on SWAT applications in Iran, Isfahan university of technology, 16–17 May, Iran.
Orlowsky B, Seneviratne SI (2012) Global changes in extreme events: regional and seasonal dimension. Climatic Change 110:669–696. https://doi.org/10.1007/s10584-011-0122-9
Pinto Dias LC, Macedo MN, Costa MH, Coe MT, Neill C (2015) Effects of land cover change on evapotranspiration and streamflow of small catchments in the Upper Xingu River Basin, Central Brazil. J Hydrol: Reg Stud 4:108–122. https://doi.org/10.1016/j.ejrh.2015.05.010
Rahimi J, Malekian A, Khalili A (2019) Climate change impacts in Iran: assessing our current knowledge. Theor Appl Climatol 135:545–564. https://doi.org/10.1007/s00704-018-2395-7
Safaripour M, Monavari S, Zare M, Abedi Z, Gharagozlou A (2012) Flood risk assessment using GIS (case study: Golestan Province, Iran). Pol J Environ Stud 21:1817–1824
Schuol J, Abbaspour KC, Srinivasan R, Yang H (2008) Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model. J Hydrol 352:30–49. https://doi.org/10.1016/j.jhydrol.2007.12.025
Semenov MA, Barrow EM (2002) A stochastic weather generator for use in climate impact studies: user manual.
Semenov MA, Barrow EM (1997) Use of a stochastic weather generator in the development of climate scenarios. Clim Change 35:397–414. https://doi.org/10.1023/A:1005342632279
Semenov MA, Roger JB, Elaine MB, and Clarence WR )1998) Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Research 10:95–107. http://www.jstor.org/stable/24865958.
Shooshtari SJ, Gholamalifard M (2015) Scenario-based land cover change modeling and its implications for landscape pattern analysis in the Neka Watershed Iran. Remote Sens Appl: Soc Environ 1:1–19. https://doi.org/10.1016/j.rsase.2015.05.001
Shooshtari SJ, Silva T, Namin BR, Shayesteh K (2020) Land use and cover change assessment and dynamic spatial modeling in the Ghara-su Basin, Northeastern Iran. J Indian Soc Remote Sens 48:81–95. https://doi.org/10.1007/s12524-019-01054-x
Shrestha S, Bhatta B, Shrestha M, Shrestha PK (2018) Integrated assessment of the climate and landuse change impact on hydrology and water quality in the Songkhram River Basin, Thailand. Sci Total Environ 64:1610–1622. https://doi.org/10.1016/j.scitotenv.2018.06.306
Singh J, Knapp HV, Arnold J, Demissie M (2005) Hydrological modeling of the Iroquois river watershed using HSPF and SWAT. J Am Water Resour Assoc 41:343–360. https://doi.org/10.1111/j.1752-1688.2005.tb03740.x
Skliris N, Marsh R, Mecking JV, Zika JD (2020) Changing water cycle and freshwater transports in the Atlantic Ocean in observations and CMIP5 models. Clim Dyn 54:4971–4989. https://doi.org/10.1007/s00382-020-05261-y
Soil Conservation Service (SCS) (1972) National engineering handbook, section 4: hydrology. Department of Agriculture, Washington DC, 762 p.
Supharatid S, Aribarg T, Supratid S (2016) Assessing potential flood vulnerability to climate change by CMIP3 and CMIP5 models: case study of the 2011 Thailand great flood. J Water Clim Change 7:52–67. https://doi.org/10.2166/wcc.2015.116
Tahiru AA, Doke DA, Baatuuwie BN (2020) Effect of land use and land cover changes on water quality in the Nawuni Catchment of the White Volta Basin, Northern Region, Ghana. Appl Water Sci 10:198. https://doi.org/10.1007/s13201-020-01272-6
Tan ML, Ibrahim AL, Yusop Z, Duan Z, Ling L (2014) Impacts of landuse and climate variability on hydrological components in the Johor River basin, Malaysia. Hydrol Sci J 60:873–889. https://doi.org/10.1080/02626667.2014.967246
Tavangar SH, Moradi H, Massah Bavani A (2020) Climate change effect on the rainfall amount and intensity in the southern coast of the Caspian Sea. J Irrig Water Eng 10:190–204. https://doi.org/10.22125/IWE.2019.100751
Teklay A, Dile YT, Setegn SG, Demissie SS, Asfaw DH (2019) Evaluation of static and dynamic land use data for watershed hydrologic process simulation: a case study in Gummara watershed, Ethiopia. CATENA 172:65–75. https://doi.org/10.1016/j.catena.2018.08.013
Tigabu TB, Wagner PD, Hörmann G, Kiesel J, Fohrer N (2020) Climate change impacts on the water and groundwater resources of the Lake Tana Basin, Ethiopia. J Water Clim Change 12:1544–1563. https://doi.org/10.2166/wcc.2020.126
Tirupathi C, Shashidhar T (2020) Investigating the impact of climate and landuse land cover changes on hydrological predictions over the Krishna river basin under present and future scenarios. Sci Total Environ 721:137736. https://doi.org/10.1016/j.scitotenv.2020.137736
Tirupathi C, Shashidhar T, Srinivasan R (2018) Analysis of rainfall extremes and water yield of Krishna river basin under future climate scenarios. J Hydrol: Reg Stud 19:278–306. https://doi.org/10.1016/j.ejrh.2018.10.004
Torabi Haghighi A, Darabi H, Shahedi K, Solaimani K, Kløve B (2020) A scenario-based approach for assessing the hydrological impacts of landuse and climate change in the Marboreh Watershed Iran. Environ Model Assess 25:41–57. https://doi.org/10.1007/s10666-019-09665-x
Wang Q, Liu R, Men C, Guo L, Miao Y (2018) Effect of dynamic land use inputs on improvement of SWAT model performance and uncertainty analysis of outputs. J Hydrol 563:874–886. https://doi.org/10.1016/j.jhydrol.2018.06.063
Williams JR (1969) Flood routing with variable travel time or variable storage coefficients. Trans Am Soc Agric Biol Eng 12:100–103. https://doi.org/10.13031/2013.38772
Woldesenbet TA, Elagib NA, Ribbe L, Heinrich J (2018) Catchment response to climate and land use changes in the upper Blue Nile sub-basins, Ethiopia. Sci Total Environ 644:193–206. https://doi.org/10.1016/j.scitotenv.2018.06.198
Worqlul AW, Dile YT, Ayana EK, Jeong J, Adem AA, Gerik T (2018) Impact of climate change on streamflow hydrology in headwater catchments of the upper Blue Nile basin Ethiopia. Water 10:120. https://doi.org/10.3390/w10020120
Yan R, Cai Y, Li C, Wang X, Liu Q (2019) Hydrological responses to climate and landuse changes in a Watershed of the Loess Plateau China. Sustainability 11:1443. https://doi.org/10.3390/su11051443
Yang W, Long D, Bai P (2019) Impacts of future land cover and climate changes on runoff in the mostly afforested river basin in North China. Journal of Hydrology 570:201–219. https://doi.org/10.1016/j.jhydrol.2018.12.055
Yin J, He F, Xiong YJ, Qiu GY (2017) Effects of land use/land cover and climate changes on surface runoff in a semi-humid and semi-arid transition zone in northwest China. Hydrol Earth Syst Sci 21:183–196. https://doi.org/10.5194/hess-21-183-2017
Zuo D, Xu Z, Yao W, Jin S, Xiao P, Ran D (2016) Assessing the effects of changes in landuse and climate on runoff and sediment yields from a watershed in the Loess Plateau of China. Sci Total Environ 544:238–250. https://doi.org/10.1016/j.scitotenv.2015.11.060
Acknowledgements
The authors warmly acknowledge the Iranian Meteorological Organization (IMO), the Iranian Ministry of Agriculture (IMA), the Gloestan Regional Water Authority (GRWA), the World Climate Research Programme’s Working Group on Coupled Modelling, and the United States Geological Survey (USGS) for providing required data. The authors also gratefully appreciate anonymous reviewers who made very important comments to improve the quality of this study.
Author information
Authors and Affiliations
Contributions
All authors contributed to this study. Data collection, data analysis, hydrological modeling, making graphs and figures were performed by Mohammad Sadegh Norouzi Nazar. The original draft of the manuscript was written by Dr. Yousef Sakieh and Mohammad Sadegh Norouzi Nazar. Dr. Zahra Asadolahi and Dr. Fatemeh Rabbani conducted landuse change and climate change modeling, respectively. Writing, reviewing and editing of the manuscript was done by Dr. Karim C. Abbaspour. The authors declare that the manuscript has been read and approved by all named authors. We further confirm that the order of authors listed in the manuscript has been approved by all of us.
Corresponding author
Ethics declarations
Ethics approval
We declare that this submission follows the policies of the journal as outlined in the guide for authors and the ethical statement.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Norouzi Nazar, M.S., Asadolahi, Z., Rabbani, F. et al. Modeling the integrated effects of landuse and climate change on the hydrologic response of Gorganroud watershed in Iran. Theor Appl Climatol 151, 1687–1707 (2023). https://doi.org/10.1007/s00704-022-04345-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00704-022-04345-5