Share Email Print

Proceedings Paper

Spatial variation of water and soil erosion in Donghe basin based on SWAT model
Author(s): Aixia Liu; Junfeng Chen; Jing Wang; Zhengjun Liu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The Donghe basin is one of the typical regions with serious water and soil erosion in Kaixian county of Chongqing city. In this study the spatial distribution variation of water and soil erosion in Donghe basin is analyzed based on a comprehensive method that integrates SWAT model with a Geographic Information System and remote sensing technology. SWAT is a physical based model that requires specific information about weather, soil properties, topography, vegetation, and land management practices occurring within the watershed. Firstly, with the Donghe basin as a study area, using the spatially distributed and mechanism-based SWAT model, the distributed hydrological and sediment model are developed to simulate the runoff and sediment production of Donghe basin. Then the model is calibrated and validated against observed runoff and sediment data from 2003 to 2004, the validated result shows a deterministic coefficient of 0.93. Finally the spatial distribution of the water and soil erosion of Donghe is analyzed. The results show that the mean sediment production of Donghe basin is 30.7 t/ha•a, the maximum sediment production of its sub-watersheds is 212.7 t/ha•a, and the minimum is 0.3 t/ha•a. There is an obviously clustering feature of sub-watersheds distribution with different sediment production level. The area of the high erosion, strong erosion and violent erosion account for 30% of the whole basin area, the other soil erosion area occupy 70%.

Paper Details

Date Published: 20 April 2010
PDF: 6 pages
Proc. SPIE 7676, Sensing for Agriculture and Food Quality and Safety II, 76760S (20 April 2010); doi: 10.1117/12.849777
Show Author Affiliations
Aixia Liu, China Land Surveying and Planning Institute (China)
Junfeng Chen, The Institute of Geographical Sciences and Natural Resources (China)
Jing Wang, China Land Surveying and Planning Institute (China)
Zhengjun Liu, Chinese Academy of Surveying and Mapping (China)

Published in SPIE Proceedings Vol. 7676:
Sensing for Agriculture and Food Quality and Safety II
Moon S. Kim; Shu-I Tu; Kaunglin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?