Flood Rescue: An Integrated GIS and Remote Sensing-Based Decision Support System for Flood Inundation Warning and Relief
摘要
In recent years, the frequency of floods has surged due to climate change and unchecked urbanization. In developing nations such as India, floods wreak havoc that can take decades to recover from. To effectively mitigate the impact of flood disasters, precise flood inundation warnings are essential. This system employs a Geographic Information System (GIS) model, constructed using a Digital Elevation Model (DEM) and building shape-files, to analyze land behavior during floods and identify inundation risks in various locations. This information is crucial for taking proactive measures to reduce flood-related destruction promptly. The Global Precipitation Measurement’s (GPM) half-hourly rain data is utilized to assess the current influence of rainfall on flood conditions across different regions, thereby enabling timely warnings to residents in nearby areas. Furthermore, this system incorporates a flood relief system, which is web-based and developed using PHP as the web application and a MySQL database. This platform prepares donors to assist flood victims with various types of donations. Immediately following the release of a flood warning through a GSM module that sends SMS alerts, donors are informed to be ready with their contributions. This timely communication equips authorities to provide refuge to flood victims. This system is specifically designed for Mumbai, India’s largest city, which is frequently affected by floods, resulting in significant property and life damage annually.