ESTIMATING CONTRIBUTION OF WATER FLOW COMPONENTS TO KAMENG RIVER BASIN USING HYDROLOGICAL MODELLING

• Main Authors: Arora, S., Kulkarni, A. V., Ghosh, P., Satheesh, S. K.
• Format: Conference Proceeding
• Language: English
• Subjects: Algorithms; Catchment area; Catchments; Clean energy; Data acquisition; Discharge; Energy balance; Estimation; Hydroelectric power; Hydrologic cycle; Hydrological cycle; Hydrology; International organizations; Meltwater; Meteorological data; Population growth; Remote sensing; Renewable energy; Resource management; River basins; Rivers; Sanitation; Stream discharge; Stream flow; Sustainable development; Sustainable Development Goals; Water flow; Water management; Water resources; Water resources management
• ISSN: 2194-9034; 1682-1750; 2194-9034
• DOI: 10.5194/isprs-archives-XLIII-B3-2021-431-2021

The Himalayas, also known as third pole of the Earth feed some of the major rivers of the world viz. Ganga, Indus, Brahmaputra etc. The accurate assessment of water resources in eastern Himalayas is very important for respective policy makers. The detailed assessment of water resources and hydrological cycle component are very critical for attaining United Nations sustainable development goals (SDGs) such as affordable and clean energy, clean water and sanitation and building resilient infrastructure This study focuses on Kameng river basin, estimating the melt water & its contribution to the total discharge of the river. A 3-layer VIC model coupled with energy balance algorithm is used to estimate the patterns of melt and discharge profile in the region. Net contribution of melt water to the river were estimated to be about 18% during peak melt season in upper catchments. With advancement in technology, acquiring meteorological data via remote sensing has become more accurate & of high resolution. This data is one of the major inputs of the model. With accurate forecasting of these parameters, multipurpose hydropower projects in these regions can plan well in advance thus playing a major role in Integrated Water Resource Management. In current study the coefficient of determination & Nash-Sutcliffe efficiency were calculated to be 0.82 & 0.71 respectively. With increasing population in the region, any substantial change in the streamflow will have consequences unknown as of now, thus making this study a necessity & need of hour.