Flood Inundation Mapping and Flood Intimation Using IoT for KRS Dam

Abstract

Dams are counterfeit lakes made to hold water for a specific reason. In the present study, the flood plain zone, at the downstream finish of KRISHNARAJASAGARA Repository close to Mandya, has been planned, involving DEM in Bend GIS in the wake of choosing yield area in Smack. This paper gives an outline of the utilization of 2-D water-powered model, Hydrologic Designing Center—Waterway Investigation Framework (HEC-RAS) for the examination of dam break of Krishnarajasagara dam situated at Mandya locale, Karnataka. Inundation maps were created in ARC-GIS by employing the IDW interpolation method and the water surface elevations obtained from HEC-RAS for the various scenarios listed above. Later, the IDW map was shown on Google Earth to identify flooding areas. Further, the model is utilized to provide an indication of the flood. Level sensors are used to determine the surface’s position within a container that holds both liquids and powdered solids. In this paper, we examine the plan of a water level sensor gadget that can recognize and control the degree of water in a certain water tank or a comparative water stockpiling framework. The framework detects how much water, first and foremost, accessible in the tank by the level finder part and afterward changes the condition of the water siphon in understanding to the water level data.