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

Document Type : Research Article

Authors

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

Abstract

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.

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References

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Iranian journal of Ecohydrology
Volume 6, Issue 1
April 2019
Pages 65-76

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History

  • Receive Date: 06 July 2018
  • Revise Date: 04 November 2018
  • Accept Date: 04 November 2018
  • First Publish Date: 21 March 2019
  • Publish Date: 21 March 2019

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