10 papers analyzed
These studies suggest that artificial intelligence, including models like ANFIS, CNN, LSTM, and ANN, can effectively predict floods and provide accurate, real-time forecasting for flood control and emergency response.
16 papers analyzed
Flood prediction is a critical area of research due to the significant socio-economic impacts of floods and the anticipated increase in their frequency due to climate change. Artificial intelligence (AI) has emerged as a powerful tool for improving the accuracy and efficiency of flood forecasting models.
Effectiveness of AI Models in Flood Prediction:
Real-Time Flood Prediction:
Hybrid and Ensemble AI Models:
Use of Satellite Imagery and AI:
Artificial intelligence has proven to be a highly effective tool for flood prediction, offering improved accuracy, real-time forecasting capabilities, and efficient computation. The integration of AI with traditional hydrological models and the use of hybrid and ensemble approaches further enhance the reliability and applicability of these models in flood management. AI-based flood prediction models are valuable assets for disaster management, providing timely and accurate forecasts that can help mitigate the impacts of floods.
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