Overflowing of the Yamuna River, rapid growth, and inadequate drainage systems all contribute to the frequent flooding that occurs in the National Capital Territory (NCT) of Delhi. This flooding poses a risk to people's lives, as well as to their property and their infrastructure. This study looks at flood risk mapping and constructs a regional early warning system using GIS and Remote Sensing technology. Through the use of high-resolution Cartosat DEM data and WorldView-2 multispectral imagery (2015), a comprehensive land use/land cover (LULC) map was developed with the purpose of identifying regions that are prone to floods. By using linear regression modeling, it was possible to determine that there is a strong positive correlation (r = 0.62) between the data on rainfall and the gauge levels at the Old Delhi Railway Bridge. This connection made it possible to anticipate the height of floods in the future. According to the results, areas that are located downstream and low-lying floodplains that are adjacent to the Yamuna are very susceptible to flooding. This is particularly true in the eastern, northeastern, and southeastern districts of Delhi. Flooding is more likely to occur in metropolitan areas because the surfaces there are less permeable to water. The study places an emphasis on both structural and non-structural solutions, such as the broadcast of early warnings and the drafting of evacuation plans. Among the structural measures are things like the maintenance of the drainage system. Taking everything into consideration, the research provides Delhi with a robust spatial decision-support framework that can be used to manage flood risks and be prepared for calamities.
S Gangwar (Sat,) studied this question.