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An integrated study of geospatial information technologies for surface runoff estimation in an agricultural watershed, India

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Abstract

Runoff is one of the important hydrologic variables used in most of the water resources applications. The Soil Conservation Service-Curve Number (SCS-CN) method is adopted for the estimation of surface runoff in the Mehadrigedda watershed area, Visakhapatnam district, India using multispectral remote sensing data, curve number approach and normal rainfall data. The main source of water in the Mehadrigedda watershed area is by rain, most of it drains off and only a little percolates into ground. The weighted curve number is determined based on antecedent moisture condition (AMC)-II with an integration of hydrologic soil groups (HSGs) and land use/land cover LULC categories. An integrated approach is applied to delineate the land use/land cover information as adopted from NRSA classification. The recording of daily rainfall data during the years 1997–2006 is collected from Indian Meteorological Department (IMD) rainguage center at Kottavalasa. It is observed that the annual rainfall-runoff relationship during 1997–2006, which is indicating that the overall increase in runoff with the rainfall of the watershed area. Integration of remote sensing (RS) and geographical infomation system (GIS) techniques provide reliable, accurate and up-to-date information on land and water resources.

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Authors and Affiliations

  1. Department of Civil Engineering, GITAM University, Visakhapatnam, 530045, India

    K. N. Rao & K. Narendra

  2. Department of Geography, Andhra University, Visakhapatnam, 530003, India

    P. S. Latha

Authors
  1. K. N. Rao
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  2. K. Narendra
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  3. P. S. Latha
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Correspondence to K. N. Rao.

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Rao, K.N., Narendra, K. & Latha, P.S. An integrated study of geospatial information technologies for surface runoff estimation in an agricultural watershed, India. J Indian Soc Remote Sens 38, 255–267 (2010). https://doi.org/10.1007/s12524-010-0032-8

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  • DOI: https://doi.org/10.1007/s12524-010-0032-8

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