Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS: a case study of upstream Chaobaihe River catchment, north China

被引:67
|
作者
Zhou, Weifeng [1 ]
Wu, Bingfang [2 ]
机构
[1] Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
关键词
modified USLE; gross erosion; sediment delivery ratio;
D O I
10.1016/S1001-6279(08)60016-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil erosion in catchment areas reduces soil productivity and causes a loss of reservoir capacity. Several parametric models have been developed to predict soil erosion at drainage basins, hill slopes and field levels. The well-known Universal Soil Loss Equation (USLE) represents a standardized approach. Miyun reservoir, which sits on Chaobaihe River, is the main surface source of drinking water for Beijing, the capital of China. Water and soil loss are the main reasons for sediment to enter a reservoir. Sediment yield is assessed using a version of the universal soil loss equation modified by Chinese researchers. All year 2001 and 2002 data for factors in the equation are obtained from remote sensing or collected to form an analysis database. These factors are computed and mapped using Geographic Information System tools. Based on the complex database, the modified model is developed. Through pixel-based computing the sediment yield per hydrological unit is calculated. The model does not consider sediment deposition occurring on hillslopes. Gross soil loss is often higher than the sum of those measured at catchment outlets. The sediment delivery ratio (SDR) per hydrological unit is also computed. This study analyzes the main contributions of sediment yields on sub-basins of the Chaobaihe River to the Miyun Reservoir, and discusses the possible reasons for the difference between SDRs in 2001 and 2002 at different outlets. The result shows that in the upper basin of the Miyun Reservoir, in 2001 the area of erosion that could be neglected was 8,202.76 km(2), the area of low erosion 3,269.59 km(2), the area of moderate erosion 3,400.97 km(2), the area of high erosion 436.89 km(2), the area of strong erosion 52.19 km(2) and the area of severe erosion 3.13 km(2). The highest soil loss was 70,353 t/km(2). yr in Fengning County in 2001, followed by 64,418 t/km(2). yr by Chicheng County in 2001. The SDR in 2002 was lower than that in 2001, The main reasons are the decreasing rainfall erosivity and total runoff.
引用
收藏
页码:167 / 173
页数:7
相关论文
共 50 条
  • [1] Assessment of soil erosion and sediment delivery ratio using remote sensing and GIS:a case study of upstream Chaobaihe River catchment, north China
    Weifeng ZHOU1 and Bingfang WU2 1 Doctor candidate
    [J]. International Journal of Sediment Research, 2008, (02) : 167 - 173
  • [2] Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing
    Dabral, P. P.
    Baithuri, Neelakshi
    Pandey, Ashish
    [J]. WATER RESOURCES MANAGEMENT, 2008, 22 (12) : 1783 - 1798
  • [3] Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing
    P. P. Dabral
    Neelakshi Baithuri
    Ashish Pandey
    [J]. Water Resources Management, 2008, 22 : 1783 - 1798
  • [4] Soil Erosion Assessment in Tasik Chini Catchment using Remote Sensing and GIS Techniques
    Rendana, Muhammad
    Rahim, Sahibin Abdul
    Idris, Wan Mohd Razi
    Lihan, Tukimat
    Rahman, Zulfahmi Ali
    [J]. SAINS MALAYSIANA, 2017, 46 (04): : 529 - 535
  • [5] Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China
    Yanfang Hu
    Guohang Tian
    Audrey L. Mayer
    Ruizhen He
    [J]. Natural Hazards, 2015, 79 : 277 - 289
  • [6] Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China
    Hu, Yanfang
    Tian, Guohang
    Mayer, Audrey L.
    He, Ruizhen
    [J]. NATURAL HAZARDS, 2015, 79 (01) : 277 - 289
  • [7] Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment
    Sreenivasulu Vemu
    Udaya Bhaskar Pinnamaneni
    [J]. Natural Hazards, 2011, 59 : 1299 - 1315
  • [8] Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment
    Vemu, Sreenivasulu
    Pinnamaneni, Udaya Bhaskar
    [J]. NATURAL HAZARDS, 2011, 59 (03) : 1299 - 1315
  • [9] Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China
    Jun Huang
    [J]. Environmental Monitoring and Assessment, 2018, 190
  • [10] Assessment of potential changes in soil erosion using remote sensing and GIS: a case study of Dacaozi Watershed, China
    Huang, Jun
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)