Estimation of storage capacity of the proposed rainwater harvesting structures (check dam) using geospatial technique: a case study in Tripura, India Online publication date: Fri, 31-May-2024
by Bajitborlang L. Chyne; Ranjit Das; Naveen Ramachandran; Shanbor Kurbah
International Journal of Hydrology Science and Technology (IJHST), Vol. 17, No. 4, 2024
Abstract: The state of Tripura receives 2,380 mm rainfall annually. Due to the topography, most of the surface runoff drains off. Rainwater harvesting is a straightforward technique that collects and stores runoff from open spaces for future use. Check dam is one of the structures for harvesting rainwater. For preparing a proper water management scheme, estimation of the storage capacity of the reservoir is essential. Remote sensing and geographic information system is effectively utilised for estimation the storage capacity of the reservoirs. The inundated areas of the dams were estimated using digital elevation model in GIS environment and used finite difference method to develop the depth area curve and then elevation-area-capacity curve. The storage capacities of the proposed structures were estimated to be 3.19 and 0.35 million m3 at Buri Gang and Ghoramara Cherra respectively. This study provides a methodology to estimate the storage volume of reservoirs using geospatial technique.
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