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This research work presents an advanced weather monitoring and disaster mitigation system that incorporates interactive weather visualizations, flood zone detection, unplanned drainage identification, and emergency shelter mapping. The proposed system offers optional drought intensity prediction capabilities as well. The goal of this system is to provide timely and accurate information to help communities prepare for and respond to weather-related emergencies. The interactive weather visualizations allow users to access real-time weather data and forecasts, providing a comprehensive understanding of current and future weather conditions. Flood zone detection uses satellite imagery and data analysis techniques to identify areas at risk of flooding, enabling authorities to issue timely warnings and evacuate residents if necessary. The unplanned drainage identification feature uses machine learning algorithms to detect and monitor areas lacking proper drainage systems, enabling authorities to take proactive measures to prevent flood damage. The emergency shelter mapping module assists in identifying suitable locations for temporary shelters during emergencies, ensuring that affected populations have access to safe and secure accommodations. The optional drought intensity prediction capabilities utilize historical weather data and advanced forecasting models to predict drought conditions, helping authorities and farmers with proactive water management and agricultural planning. In summary, this advanced weather monitoring and disaster mitigation system, with its interactive visualizations, flood zone detection, unplanned drainage identification, emergency shelter mapping, and optional drought intensity prediction, aims to enhance preparedness and response capabilities during weather-related disasters.
Paul et al. (Wed,) studied this question.
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