Estimation of Rainfall Runoff Analysis of Gadi Gedda Watershed, Vizianagaram District, Andhra Pradesh, India, Using Remote Sensing and GIS Approach

This research focuses on the calculation of rainfall discharge and hydrological analysis in the Gadi Gedda Watershed, situated in the Vizianagaram District of Andhra Pradesh, India. The watershed area has notable challenges in water management because of its intricate geography and unpredictable patterns of rainfall. To address these challenges, a comprehensive approach was adopted, which included the integration of Remote Sensing (RS) and Geographic Information System (GIS) methodologies. The collection and processing of satellite-derived precipitation data, hydrological parameters, and land cover information were conducted using RS and GIS technologies. This approach enabled the development of precise rainfall-runoff models and the understanding of hydrological processes within the watershed. Furthermore, the use of high-resolution satellite data played a crucial role in the categorisation of land cover, facilitating the discernment of several land use classifications within the catchment area. The estimation of the rainfall-runoff relationship in the study region was conducted using the SCS-CN approach. The model underwent calibration and validation processes to assure the reliability and accuracy of the simulation findings, using HSG soils, land use/land cover analyses, and rainfall data. The results of this research provide valuable insights into the hydrological dynamics of the Gadi Gedda Watershed and shed light on the impact of changes in land use on flow patterns. Furthermore, this research assesses the potential of RS and GIS methods in the field of water resource management. It also establishes the foundation for implementing sustainable water management practices in the specific location. The study enhances our understanding of the complex interplay of precipitation, outflow, and land use within the Gadi Gedda Watershed. The integration of RS and GIS methodologies in hydrological research may be used to similar watersheds facing similar issues, therefore facilitating efficient water resource management and enhancing the resilience of populations in locations with limited water availability.