Runoff simulation of land-use changes based on the different slopes of Erhai basin by using SWAT model

Bin Peng, Kun Yang*, Jian Li, Shaohua Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Changes of LUCC have a significant impact on runoff by altering surface evaporation, soil moisture conditions, and the amount of trapped ground cover, which directly impact the sustainable development of the watershed ecology. In this paper, based on remote sensing images, we simulate the runoff of land-use changes of differing slopes using GIS technology and SWAT model in Erhai basin. The results show that land cover changes make a big difference on the ecological environment. Runoff is increased to some extent by changing the pasture and agriculture slope above 15° to forests. Changing forests to agriculture, pasture has little effect on runoff between the slope of 15° and 20°, but turning forests to agriculture and pasture reduces runoff ny 30.77 mm and 14 mm respectively. Pasture to agriculture above 15° increases runoff considerably, and runoff is increased by 49.11 mm and 48.99 mm, respectively, in scenario 4 and scenario 9.

Original languageEnglish
Title of host publicationProceedings - 2014 22nd International Conference on Geoinformatics, Geoinformatics 2014
EditorsShixiong Hu, Xinyue Ye, Xinyue Ye
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479957149
DOIs
Publication statusPublished - 7 Nov 2014
Externally publishedYes
Event22nd International Conference on Geoinformatics, Geoinformatics 2014 - Kaohsiung, Taiwan, Province of China
Duration: 25 Jun 201427 Jun 2014

Publication series

NameProceedings - 2014 22nd International Conference on Geoinformatics, Geoinformatics 2014

Conference

Conference22nd International Conference on Geoinformatics, Geoinformatics 2014
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period25/06/1427/06/14

Keywords

  • GIS
  • LUCC
  • Runoff
  • Scenario
  • SWAT model

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