An Intelligent Early Flood Forecasting and Prediction Leveraging Machine and Deep Learning Algorithms with Advanced Alert System
importance 8/10
ai assisted
Hydrological Forecasting Using AI flood forecasting stage: research
Problem
Floods cause casualties worldwide, and accurate precipitation and flood forecasting is needed to reduce damage and save lives.
Why it matters
Better flood warning and forecasting directly limits victims and economic damage.
What the AI did
Built an ES-LSTM/RNN-based forecasting model for hourly precipitation and used an ANN and decision tree to classify precipitation, tested on an Australian meteorology dataset.
Results
not stated in source
Impact
Evidence supports model development and testing on a real dataset, but no quantified outcome is stated.
Record
| Venue | Processes |
|---|---|
| Published | 2023 |
| Work type | article |
| Authors | Israa M. Hayder, Taief Alaa Al-Amiedy, Wad Ghaban, Faisal Saeed, Maged Nasser, Ghazwan Abdulnabi Al-Ali, Hussain A. Younis |
| Citations | 74 (OpenAlex, at import time) |
| References | 51 |
| Model or method | ES-LSTM, RNN, ANN, decision tree |
| Organization | not stated in source |
| Primary source | https://doi.org/10.3390/pr11020481 |
| Open access | gold |
| Keywords | flood forecasting, LSTM, precipitation prediction, deep learning, early warning |
Importance rating
8
major — millions of lives, an industry or a field
Abstract states floods occur worldwide causing numerous casualties; accurate forecasting aids flood warning and damage mitigation.
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