Assessment of soil erosion and sediment yield in Liao watershed, Jiangxi Province, China, Using USLE, GIS, and RS

被引:0
|
作者
Li Hui
Chen Xiaoling
Kyoung Jae Lim
Cai Xiaobin
Myung Sagong
机构
[1] China University of Geosciences,Faulty of Earth Sciences
[2] China University of Geosciences,Three Gorges Research Center for Geo
[3] Jiangxi Normal University,hazard, Ministry of Education
[4] Wuhan University,The Key Lab of Poyang Lake Ecological Environment and Resource Development
[5] Kangwon National University,State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing
[6] Chinese Academy of Sciences,Department of Agricultural Engineering
[7] Korea Railroad Research Institute,Institute of Geodesy and Geophysics
来源
Journal of Earth Science | 2010年 / 21卷
关键词
soil erosion; USLE; GIS; sediment delivery ratio;
D O I
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中图分类号
学科分类号
摘要
Soil erosion by water is a serious problem all over the world. In China, about 1 790 000 km2 of land suffers from water erosion, which accounts for 18.3% of China’s total area. This study was conducted in the Liao (潦) watershed in Jiangxi (江西) Province to assess annual soil erosion and sediment yield using the Universal Soil Loss Equation (USLE). A geographic information system (GIS) was used to generate maps of the USLE factors, which include rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover (C), and conservation practice (P) factors. By integrating these factors in a GIS, a spatial distribution of soil erosion over the Liao watershed was obtained. The soil erosion was found to vary from nil for flat and well-covered areas to more than 500 t/ha/a in mountainous places with sparse vegetation. The average soil erosion is 18.2 t/ha/a with a standard deviation of 109.3 t/ha/a. The spatial distribution of erosion classes was estimated. About 39.5% of the watershed is under the tolerant erosion rate, and 60.5% of the study area experienced erosion to different extents. A spatially distributed sediment delivery ratio (SDR) module was developed to account for soil erosion and deposition. It was found that the SDR value at the outlet of the Liao watershed was 0.206, and the sediment yield was 1.32 million t/a, which was 20% higher than the measured sediment. The results can be used to identify the soil erosion hot spots and develop the best soil erosion management practices and help estimate the quantity of soil that was transported into the downstream Poyang (鄱阳) Lake.
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页码:941 / 953
页数:12
相关论文
共 123 条
  • [1] Ahmet I.(2007)Estimating Spatial Distribution of Soil Loss over Seyhan River Basin in Turkey Journal of Hydrology 336 30-37
  • [2] Fatih T.(1977)Methodology Used to Determinate the Maximum Potential Average Soil Loss due to Sheet and Rill Erosion in Marocco: Assessing Soil Degradation FAO Soils Bull. 34 8-9
  • [3] Veli U.(2009)Mapping Soil Erosion Susceptibility Using Remote Sensing and GIS: A Case of the Upper Name Wa Watershed, Nan Province, Thailand Environmental Geololy 57 695-705
  • [4] Arnoldus H. M. J.(2006)Disappearing Lake Alaotra: Monitoring Catastrophic Erosion, Waterway Silting, and Land Degradation Hazards in Madagascar Using Landsat Imagery Journal of African Earth Sciences 44 241-252
  • [5] Bahadur K. C. K.(2002)Using Empirical Erosion Models and GIS to Determine Erosion Risk at Camp William, Utah J. Soil Water Conserv. 57 29-37
  • [6] Bakoariniaina L. N.(2009)Soil Erosion Prediction in the Grande River Basin, Brazil Using Distributed Modeling Catena 79 49-59
  • [7] Kusky T.(2007)Estimation of Soil Erosion and Sediment Yield Using GIS at Catchment Scale Water Resources Management 21 1635-1647
  • [8] Raharimahefa T.(1989)Comparison of Sediment Yield Models on Various Watershed in Mississippi Trans. ASAE 32 529-534
  • [9] Bartsch K. P.(1987)Storm Erosivity Using Idealized Intensity Distributions Trans. ASAE 30 379-386
  • [10] van Miegroet H.(2001)GIS Erosion Risk Assessment of the Piracicaba River Basin, Southeastern Brazil Mapping Sci. Remote Sensing 38 157-171