Assessing the vulnerability to soil erosion of the Ukai Dam catchments using remote sensing and GIS

被引:50
作者
Jain, SK [1 ]
Goel, MK [1 ]
机构
[1] Natl Inst Hydrol, Roorkee 247667, Uttar Pradesh, India
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2002年 / 47卷 / 01期
关键词
soil erosion; soil conservation; sediment yield; GIS; remote sensing; NDVI; slope; India;
D O I
10.1080/02626660209492905
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
The investigation of basins for planning soil conservation requires a selective approach to identify smaller hydrological units, which would be suitable for more efficient and targeted conservation management programmes. One criterion, generally used to determine the vulnerability of catchments to erosion, is the sediment yield of a basin. In India, sediment yield data are generally not collected for smaller sub-catchments and it becomes difficult to identify the most vulnerable areas for erosion that can be treated on a priority basis. An index-based approach, based on the surface factors mainly responsible for soil erosion, is suggested in this study. These factors include soil type, vegetation, slope and various catchment properties such as drainage density, form factor, etc. The method is illustrated with a case study of subcatchments immediately upstream of the Ukai Reservoir located on them River Tapi in Gujarat State, India. The area is divided into 16 watersheds and different soil, vegetation, topography and morphology-related parameters are estimated separately for each watershed. Satellite data are used to evaluate the soil and vegetation indices, while a GIS system is used to evaluate the topography and morphology-related indices. The integrated effect of all the parameters is evaluated to find different areas vulnerable to soil erosion. Two watersheds were identified as being most susceptible to soil erosion. Based on the integrated index, a priority rating of the watersheds for soil conservation planning is recommended.
引用
收藏
页码:31 / 40
页数:10
相关论文
共 14 条
  • [1] [Anonymous], 1964, HDB APPL HYDROLOGY
  • [2] Modelling soil erosion in tropical environments using remote sensing and geographical information systems
    Baban, SMJ
    Yusof, KW
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2001, 46 (02): : 191 - 198
  • [3] BHAN S, 1997, J SOIL WAT CONSERV S, V41, P20
  • [4] Biswas S., 1999, Journal of the Indian Society of Remote Sensing, V27, P155, DOI [10.1007/BF02991569, DOI 10.1007/BF02991569]
  • [5] CHOUBEY VK, 1992, HYDROL J INDIAN ASS, V15, P21
  • [6] *CWC, 1999, WAT PRIOR US REM SEN
  • [7] *GOV IND, 1988, AISLUS ALL IND SOIL
  • [8] Estimation of soil erosion and sediment yield using GIS
    Jain, MK
    Kothyari, UC
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2000, 45 (05): : 771 - 786
  • [9] Jain S. K., 2000, J ENV HYDROL, V8, P1
  • [10] Sediment yield estimation using GIS
    Kothyari, UC
    Jain, SK
    [J]. HYDROLOGICAL SCIENCES JOURNAL, 1997, 42 (06) : 833 - 843