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Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing

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  • Ashish Pandey
  • V. Chowdary
  • B. Mal

Abstract

In the present study, Karso watershed of Hazaribagh, Jharkhand State, India was divided into 200 × 200 grid cells and average annual sediment yields were estimated for each grid cell of the watershed to identify the critical erosion prone areas of watershed for prioritization purpose. Average annual sediment yield data on grid basis was estimated using Universal Soil Loss Equation (USLE). In general, a major limitation in the use of hydrological models has been their inability to handle the large amounts of input data that describe the heterogeneity of the natural system. Remote sensing (RS) technology provides the vital spatial and temporal information on some of these parameters. A recent and emerging technology represented by Geographic Information System (GIS) was used as the tool to generate, manipulate and spatially organize disparate data for sediment yield modeling. Thus, the Arc Info 7.2 GIS software and RS (ERDAS IMAGINE 8.4 image processing software) provided spatial input data to the erosion model, while the USLE was used to predict the spatial distribution of the sediment yield on grid basis. The deviation of estimated sediment yield from the observed values in the range of 1.37 to 13.85 percent indicates accurate estimation of sediment yield from the watershed. Copyright Springer Science + Business Media B.V. 2007

Suggested Citation

  • Ashish Pandey & V. Chowdary & B. Mal, 2007. "Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 729-746, April.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:4:p:729-746
    DOI: 10.1007/s11269-006-9061-z
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    References listed on IDEAS

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    1. Okan Fistikoglu & Nilgun Harmancioglu, 2002. "Integration of GIS with USLE in Assessment of Soil Erosion," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(6), pages 447-467, December.
    2. Sanjay Jain & Sudhir Kumar & Jose Varghese, 2001. "Estimation of Soil Erosion for a Himalayan Watershed Using GIS Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(1), pages 41-54, February.
    3. J. Onyando & P. Kisoyan & M. Chemelil, 2005. "Estimation of Potential Soil Erosion for River Perkerra Catchment in Kenya," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(2), pages 133-143, April.
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