Review of Flood Prediction Techniques used in Mumbai Region

The Mumbai region is highly vulnerable to flooding due to its coastal location and heavy rainfall during the monsoon season. In recent years, several flood events have caused significant damage to the city's infrastructure and disrupted daily life for millions of residents. To mitigate the impact of such disasters, various flood prediction techniques have been developed and applied in the Mumbai region. This review article provides an overview of these techniques, including statistical models, hydrological models, and artificial intelligence-based models, while taking into consideration the various parameters like accuracy, precision, recall, F1 score related to prediction of floods in the region. The strengths and limitations of each approach have been analysed and the challenges in predicting floods in the complex urban environment of Mumbai have been discussed. Additionally, the availability and quality of data required for these techniques and the potential for integrating multiple models to improve flood prediction accuracy is examined. Finally, future research directions for enhancing flood prediction and preparedness in the Mumbai region is suggested.