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Application of SCS-CN for Estimation of Non-Point Source Storm Water Surface Runoff Using Spatial Information & GIS Integrated Event Based Hydrological Model


Narasayya Kamuju
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Coastal and Inland water quality issues are of increasing concern among water resources managers and planners world wide as pollution and sediment levels from point source and non-point source to continue to mount. Prediction of surface runoff is one of the most useful capabilities of GIS system. Calculation of runoff can be used to estimate the impact of developments in the basin with computation of pre and post runoff at catchment outlet. In the present paper simple approach of runoff analysis by the use of the event based hydrological model of ‘Non-Point Source Pollution and Erosion Comparison Tool’ (N-SPECT) with elevation, land cover, soils and precipitation data sets are processed. This model utilises Soil Conservation Services- Curve Number (SCS-CN) approach to estimate surface runoff on event base of the basin. To apply this model, a sub-basin of ‘Bhima’ named as ‘Karha’ basin is chosen as study area with relevant grid maps. In this approach, the spatial pattern of accumulated runoff analysis has been studied, though the model has the capability to predict pollution and erosion events. The results obtained from N-SPECT Model is that the accumulated runoff volume is 2.07222 e+011 (L) which is equivalent to 207.22 Gm3 and the observed runoff at Barahanpur gauge station is 233.86 mm. The predicted runoff from N-SPECT model is nearly 70% of the observed runoff.

Narasayya Kamuju

Accumulated Runoff, Curve Number, Hydrological Model, N-SPECT, Remote Sensing

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Publication Details

Published in : Volume 2 | Issue 1 | January-Febuary - 2016
Date of Publication Print ISSN Online ISSN
2016-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
233-239 IJSRSET162111   Technoscience Academy

Cite This Article

Narasayya Kamuju, "Application of SCS-CN for Estimation of Non-Point Source Storm Water Surface Runoff Using Spatial Information & GIS Integrated Event Based Hydrological Model", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.233-239, January-Febuary-2016.
URL : http://ijsrset.com/IJSRSET162111.php


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