Assessment of Land Suitability Impacts on Runoff Values using SWAT Model (Case Study: Karde Watershed)

Document Type : Research Article


1 Assistant Professor, Faculty of Agriculture, Department of Nature Engineering, University of Torbat Heydarieh, Torbat Heydarieh, Iran

2 Ph.D. of Watershed Management, Lecturer of University of Torbat Heydarieh, Torbat Heydaieh, Iran


One of the suitable strategies for run-off management in watershed areas is correct use of land according to its capability. A watershed manager could offer optimal land use between different combinations of land uses according to capability and limitations which exist in watershed. The purpose of this study is land suitability classification using Fuzzy-AHP method in the Kardeh dam watershed of Mashhad and its effects on run-off quantity using SWAT model. For this purpose, the present land use map of the study area was prepared using remote sensing and field surveys. The SWAT model was calibrated and evaluated using current land use map. Then, criteria and constraints were determined for rangeland, agriculture, forest, and urban land use. Land suitability map for the mentioned land uses was prepared using combination of Fuzzy and AHP methods by MCE in EDRISI software. The prepared land suitability map introduced into the SWAT model instead of the existing land use map and results were evaluated. Results showed that 13.98 percent of the watershed area is suitable for forest and the area of rangelands has decreased in land suitability map. The results of the SWAT model showed with optimal land use in Karde dam watershed, mean and maximum of daily discharge have been reduced respectively 16.25 and 4 percentages. Reduction of the discharge amount helps in flood declining and recharge of groundwater.


Main Subjects

[1]. Asadi R, Maleki Nejad H, Fatahi A. Optimization of Land Use based on Water Resources by using Linear Programming (Case Study: Yazd City). Water Manag Arid L. 2015;(2):11–26. [ Persian]
[2].  ZHANG H, ZHANG X. Land use structural optimization of Lilin based on GMOP-ESV. Trans Nonferrous Met Soc China. 2011;21:s738–42.
[3].  Shaygan M, Alimohammadi A, Mansourian A, Govara ZS, Kalami SM. Spatial multi-objective optimization approach for land use allocation using NSGA-II. IEEE J Sel Top Appl Earth Obs Remote Sens. 2014;7(3):906–16.
[4].  Chakrabarty BK. Urban management: Concepts, principles, techniques and education. Cities. 2001;18(5):331–45.
[5].  Deng Z, Zhang X, Li D, Pan G. Simulation of land use/land cover change and its effects on the hydrological characteristics of the upper reaches of the Hanjiang Basin. Environ Earth Sci. 2015;73(3):1119–32.
[6].   fisheries management in Songkhla Lake, Thailand. EEPSEA, IDRC Regional Office for Southeast and East Asia, Singapore, SG; 2010.
[7].  Maghami Moghim F, Karimi A, Haghnia G, Dourandish A. Determination of optimum cropping pattern in at local scale to reduce land degradation using a linear programming model(A case study: Roin area, North Khorasan Province). Soil Manag J. 2013;(1):1–10.
[8].  Palamuleni LG, Ndomba PM, Annegarn HJ. Evaluating land cover change and its impact on hydrological regime in Upper Shire river catchment, Malawi. Reg Environ Chang. 2011;11(4):845–55.
[9].  Pikounis M, Varanou E, Baltas E, Dassaklis A, Mimikou M. Application of the SWAT model in the Pinios river basin under different land-use scenarios. Glob Nest Int J. 2003;5(2):71–9.
[10].            Croke BFW, Merritt WS, Jakeman AJ. A dynamic model for predicting hydrologic response to land cover changes in gauged and ungauged catchments. J Hydrol. 2004;291(1–2):115–31.
[11].            Zhang L, Nan Z, Yu W, Ge Y. Modeling land-use and land-cover change and hydrological responses under consistent climate change scenarios in the Heihe River Basin, China. Water Resour Manag. 2015;29(13):4701–17.
[12].            Mohammadi M, Nastaran M, Sahebgharani A. Sustainable spatial land use optimization through non-dominated sorting Genetic Algorithm-II (NSGA-II):(Case Study: Baboldasht District of Isfahan). Indian J Sci Technol. 2015;8(S3):118–29.
[13].            Singh HV, Kalin L, Morrison A, Srivastava P, Lockaby G, Pan S. Post-validation of SWAT model in a coastal watershed for predicting land use/cover change impacts. Hydrol Res. 2015;46(6):837–53.
[14].            Guo J, Su X, Singh VP, Jin J. Impacts of climate and land use/cover change on streamflow using SWAT and a separation method for the Xiying River Basin in northwestern China. Water. 2016;8(5):192.
[15].            Makhdoom M. Fundamental Land use planning.15 nd ed. Tehran. University of Tehran Press; 2010. [ Persian]
[16].            Studies GPP. Identification and Development of Criteria for Assessing the Ecological Capacity of Uses in Golestan Province by Multi-Criteria Evaluation (MCE). 2009. p. 241.
[17].            Kallali H, Anane M, Jellali S, Tarhouni J. GIS-based multi-criteria analysis for potential wastewater aquifer recharge sites. Desalination. 2007;215(1–3):111–9.
[18].            Asgarian A, Jabbarian Amiri B, Shabani Alizadeh A, Feghhi J. Predicting the Spatial Growth and Urban Sprawl in Sari, Iran Using Markov Cellular Automata Model and Shannon Entropy [Internet]. Iranian Journal of Applied Ecology; 2014. 13-25 K1-Urban sprawl K1-Remote sensing K1-S p. Available from: [Persian]
[19].            Gyawali S, Techato K, Monprapussorn S, Yuangyai C. Integrating land use and water quality for environmental based land use planning for U-tapao river basin, Thailand. Procedia-Social Behav Sci. 2013;91:556–63.
[20].            Joh H-K, Park J-Y, Shin H-J, Lee J-W, Kim S-J. The Uncertainty Analysis of SWAT Simulated Streamflow Applied to Chungju Dam Watershed. In: Proceedings of the Korea Water Resources Association Conference. Korea Water Resources Association; 2011.
[21].            Green CH, Tomer MD, Di Luzio M, Arnold JG. Hydrologic evaluation of the soil and water assessment tool for a large tile-drained watershed in Iowa. Trans ASABE. 2006;49(2):413–22.
[22].            Santhi C, Arnold JG, Williams JR, Dugas WA, Srinivasan R, Hauck LM. validation of the swat model on a large RWER basin with point and nonpoint sources 1. JAWRA J Am Water Resour Assoc. 2001;37(5):1169–88.
[23].            Akbari Mejdar H, Bahremand A.R, Najafinejad A, Sheikh V.B. Daily flow simulation of Chehelchai river Golestan province using SWAT model. Journal of Water and Soil Conservation. 2013; 20(3): 253-259. [Persian]
[24].            Rostamian R, Mousavi S.F, Heidarpour M , Afyuni M, Abaspour K. Application of SWAT 2000 Model for Estimating Runoff and Sediment in Beheshtabad Watershed, a Sub-basin of Northern Karun. Journal of Water and Soil Science. 2009;12(46-B):517-531. [ Persian]
[25].            Yu D, Xie P, Dong X, Su B, Hu X, Wang K, et al. The development of land use planning scenarios based on land suitability and its influences on eco-hydrological responses in the upstream of the Huaihe River basin. Ecol Modell. 2018;373:53–67.
[26].            Salmani H, Mohseni Saravi M, Rohani H, Salajeghe A. Evaluation of Land Use Change and its Impact on the Hydrological Process in the Ghazaghli Watershed. J watershed Manag Res [Internet]. 2012;3(6). Available from: [Persian]
[27].            Owji M.R, Nikkami D, Mahdian M.H, Mahmoudi Sh. Minimizing runoff and sedimentation by optimizing land use (Case Study: Jajrood watershed). Journal of Water and Soil Conservation. 2013; 20(4):183-199. [Persian]
Volume 6, Issue 1
April 2019
Pages 65-76
  • Receive Date: 06 July 2018
  • Revise Date: 04 November 2018
  • Accept Date: 04 November 2018
  • First Publish Date: 21 March 2019