Soil erosion assessment using USLE in the GIS environment: a case study in the Danjiangkou Reservoir Region, China

被引:39
作者
Zhu, Mingyong [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
[2] Minist Water Resources, Yangling 712100, Shaanxi, Peoples R China
[3] Minnan Normal Univ, Coll Hist & Social Dev, Zhangzhou 363000, Fujian, Peoples R China
关键词
Soil erosion; Universal soil loss equation (USLE); Soil depth; Risk analysis; Danjiangkou Reservoir Region (DRR); SPATIAL VARIABILITY; MODELS; SCALE; ERODIBILITY; PARAMETERS; QUALITY;
D O I
10.1007/s12665-014-3947-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this study was to investigate the spatial distribution of annual soil loss in the Danjiangkou Reservoir Region, China. Soil erosion was estimated by integrating the universal soil loss equation (USLE) model with GIS. The main factors affecting soil erosion including rainfall erosivity, soil erodibility, slope length and steepness, cover and management factor, and conservation supporting practice factor were determined from precipitation data, soil sample analysis, digital elevation model, land use and land cover, and empirical assessment, respectively. The results showed that the average annual soil erosion was 31.18 t hm(-2) year(-1), far above the soil loss tolerance maximum of 5.0 t hm(-2) year(-1) in the region. Regional soil erosion risk (SER) was estimated and categorized into five classes in terms of intensity (minimal, low, moderate, high, and intense), and 70.3 % of the total area was classified as minimal or low erosion risk. The soil erosion map was linked to land use and soil depth maps to explore the relationship between soil erosion and environmental factors and identify the areas of SER. The results can be used to advise the local people to prioritize critical areas for soil erosion prevention measures. The study also indicated that the USLE-GIS methodology allowed for relatively easy and cost-effective evaluation of SER with explicit spatial input.
引用
收藏
页码:7899 / 7908
页数:10
相关论文
共 37 条
[21]   Spatial variability of the soil erodibility parameters and their relation with the soil map at subgroup level [J].
Perez-Rodriguez, Raquel ;
Marques, Maria Jose ;
Bienes, Ramon .
SCIENCE OF THE TOTAL ENVIRONMENT, 2007, 378 (1-2) :166-173
[22]   Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia [J].
Perovic, Veljko ;
Zivotic, Ljubomir ;
Kadovic, Ratko ;
Dordevic, Aleksandar ;
Jaramaz, Darko ;
Mrvic, Vesna ;
Todorovic, Mladen .
ENVIRONMENTAL EARTH SCIENCES, 2013, 68 (01) :115-128
[23]   ENVIRONMENTAL AND ECONOMIC COSTS OF SOIL EROSION AND CONSERVATION BENEFITS [J].
PIMENTEL, D ;
HARVEY, C ;
RESOSUDARMO, P ;
SINCLAIR, K ;
KURZ, D ;
MCNAIR, M ;
CRIST, S ;
SHPRITZ, L ;
FITTON, L ;
SAFFOURI, R ;
BLAIR, R .
SCIENCE, 1995, 267 (5201) :1117-1123
[24]   Soil erosion hazard evaluation-An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies [J].
Rahman, Md. Rejaur ;
Shi, Z. H. ;
Chongfa, Cai .
ECOLOGICAL MODELLING, 2009, 220 (13-14) :1724-1734
[25]  
Remortel V., 2001, CARTOGRAPHY, P27, DOI [10.1080/00690805.2001.9714133, DOI 10.1080/00690805.2001.9714133]
[26]  
Roose EJ, 1989, SOILS FERT, V25, P7
[27]  
Sharply AN, 1990, USDA TECHNICAL B, V1768
[28]  
Song XianFeng Song XianFeng, 2009, Journal of Beijing Forestry University, V31, P58
[29]   The spatial variability of erodibility and its relation to soil types: a study from northern Ghana [J].
Veihe, A .
GEODERMA, 2002, 106 (1-2) :101-120
[30]  
Wang C, 2010, THESIS NW U XIAN