Snowmelt Runoff Investigation in Tosh Nala using Snowmelt runoff Model (SRM)

Authors

  • Kishor Chandra Kandpal

snow melt runoff model (SRM), MODIS, SCA, rainfall contribution area (RCA)

Abstract

The snowmelt runoff is foundation to various resource based economics i.e. Agriculture, Tourism, Horticulture and Hydropower. The Glacier in the Himanchal Pradesh Himalayas have been reported to be receding rapidly due to the global climate change. Due to its economic and scientific importance, it is mandatory to access theses resources and its release is essential to predict the flow during the snowmelt period. The essence of this study is to invent and develop a model for pragmatic purpose. The Snowmelt runoff model (SRM) has been widely used in simulation and forecasting daily streamflow in mountain basin where snowmelt is a major runoff factor. A degree day approach for the snowmelt runoff modelling is used here which integrates the input from Remote sensing data and metrological data including the parameter i.e. runoff coefficient, degree day factor, temperature lapse rate, critical temperature, rainfall contributing area and recession coefficient.

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How to Cite

Snowmelt Runoff Investigation in Tosh Nala using Snowmelt runoff Model (SRM). (2018). Global Journal of Science Frontier Research, 18(H1), 55-65. https://www.journalofscience.org/index.php/GJSFR/article/view/2189

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Snowmelt Runoff Investigation in Tosh Nala using Snowmelt runoff Model (SRM)

Published

2018-03-05

How to Cite

Snowmelt Runoff Investigation in Tosh Nala using Snowmelt runoff Model (SRM). (2018). Global Journal of Science Frontier Research, 18(H1), 55-65. https://www.journalofscience.org/index.php/GJSFR/article/view/2189