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

Authors

  • Narasayya Kamuju  Central Water and Power Research Station, Pune, Maharashtra, India

Keywords:

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

Abstract

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.

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Published

2016-02-25

Issue

Section

Research Articles

How to Cite

[1]
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-February-2016.