Using GIS and RUSLE to study on the geographical distribution characteristics of soil erosion on the Dianchi Watershed, China

被引:1
|
作者
Peng, Shuangyun [1 ]
机构
[1] Yunnan Normal Univ, Fac Geog, Kunming 650000, Yunnan, Peoples R China
关键词
GIS; RUSLE; Dianchi Lake basin; Soil erosion; Spatial distribution characteristics; LOSS EQUATION RUSLE; HOTSPOTS; MODEL; RISK; USLE; PREDICTION; CATCHMENT; INDIA;
D O I
10.5004/dwt.2021.26783
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Soil erosion is the primary cause of land degradation, which directly leads to ecological environment deterioration. Nowadays, soil erosion has grown up to be a global public nuisance and have menaced the surviving of human being and the development of society. Fully understanding the soil erosion distribution characteristics is of great significance for formulating reasonable and effective control measures. Based on the RUSLE model and GIS technology, this paper quantitatively analyses soil erosion distribution characteristics in Dianchi watershed, explores the relationship between erosion and topography, such as elevation and slope. The results show that the erosion amount of Dianchi watershed in 2014 was 2,250,100 t a(-1), and the average erosion modulus was 861.09 t km(-2) a(-1). The entire watershed is dominated by tiny erosion, but the intensity of erosion gradually increases from the centre to the periphery. The erosion at the south and north ends of the watershed is most significant. A significant positive correlation was found among soil erosion, altitude and slope. As the altitude increases, the erosion becomes more intenser. As slope increases, the erosion becomes more significant. The average elevation increased by 200 m, and the degree of soil erosion increased by 1.24 times. For each level of slope increase, the soil erosion modulus increased by 497.28 t km(-2) a(-1). Soil erosion mainly occurs in an area representing 17.73% of the basin. Additionally, soil erosion is mainly distributed among areas greater than 2,200 m above sea level and above 35 degrees; thus, this region is the critical area of erosion limitation.
引用
收藏
页码:113 / 121
页数:9
相关论文
共 50 条
  • [1] Assessment of soil erosion using RUSLE and GIS: a case study of the Yangou watershed in the Loess Plateau, China
    Tang, Qing
    Xu, Yong
    Bennett, Sean J.
    Li, Yang
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2015, 73 (04) : 1715 - 1724
  • [2] Assessment of soil erosion using RUSLE and GIS: a case study of the Yangou watershed in the Loess Plateau, China
    Qing Tang
    Yong Xu
    Sean J. Bennett
    Yang Li
    [J]. Environmental Earth Sciences, 2015, 73 : 1715 - 1724
  • [3] Assessment of soil erosion at large watershed scale using RUSLE and GIS:: A case study in the Loess Plateau of China
    Fu, BJ
    Zhao, WW
    Chen, LD
    Zhang, QJ
    Lü, YH
    Gulinck, H
    Poesen, J
    [J]. LAND DEGRADATION & DEVELOPMENT, 2005, 16 (01) : 73 - 85
  • [4] Estimation of soil erosion using RUSLE in Caijiamiao watershed, China
    Pan, Jinghu
    Wen, Yan
    [J]. NATURAL HAZARDS, 2014, 71 (03) : 2187 - 2205
  • [5] Estimation of soil erosion using RUSLE in Caijiamiao watershed, China
    Jinghu Pan
    Yan Wen
    [J]. Natural Hazards, 2014, 71 : 2187 - 2205
  • [6] Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China
    Tao Chen
    Rui-qing Niu
    Ping-xiang Li
    Liang-pei Zhang
    Bo Du
    [J]. Environmental Earth Sciences, 2011, 63 : 533 - 541
  • [7] Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North China
    Chen, Tao
    Niu, Rui-qing
    Li, Ping-xiang
    Zhang, Liang-pei
    Du, Bo
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2011, 63 (03) : 533 - 541
  • [8] Retraction Note: Assessment of soil erosion using RUSLE and GIS: a case study of the Maotiao River watershed, Guizhou Province, China
    Xu Yue-qing
    Peng Jian
    Shao Xiao-mei
    [J]. Environmental Earth Sciences, 2014, 72 : 2217 - 2217
  • [9] Soil erosion assessment using RUSLE model and GIS in Huluka watershed, Central Ethiopia
    Atoma, Habtamu
    Suryabhagavan, K., V
    Balakrishnan, M.
    [J]. SUSTAINABLE WATER RESOURCES MANAGEMENT, 2020, 6 (01)
  • [10] Soil erosion assessment using RUSLE model and GIS in Huluka watershed, Central Ethiopia
    Habtamu Atoma
    K. V. Suryabhagavan
    M. Balakrishnan
    [J]. Sustainable Water Resources Management, 2020, 6