Modelling topo-bathymetric surface using a triangulation irregular network (TIN) of Tunga Dam in Nigeria

Abstract Dams are built to store the water flowing from upstream downstream. Sedimentation and siltation some of major problems affecting storage capacity dams. For effective management, bathymetric topographic data used assess this challenge. In Mambila Plateau Taraba, Nigeria, Tunga Dam is a multifunctional reservoir that serves as small hydropower, irrigation domestic use dam. Nonetheless, it not operating its full potential, leading issues such frequent stoppage turbine, low activities shortage supply for use. To determine basin’s approximate present volume, survey was conducted using differential global positioning system (DGPS)-Hi-Target V30 single beam echosounder acquire real-time data. The were processed, digital elevation model (DEM) study area modelled triangulation irregular network algorithm (TIN). deepest point dam found be 21.25 m, volumetric assessed based on elevations. tessellation format adequately represents DEM future purposes better enhance capacity. Hence, research suggested dredging should carried out boost Likewise, an embankment can constructed around dredged material achieve barrier’s building, which will reduce overall cost.