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Machine learning in environmental research: common pitfalls and best practices
Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …
sets and decipher complex relationships between system variables. However, due to the …
Flood hazard map** methods: A review
Flood hazard map** (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …
and capacity of the result to meet the target of policymakers for accurate prediction and …
XGBoost-based method for flash flood risk assessment
M Ma, G Zhao, B He, Q Li, H Dong, S Wang, Z Wang - Journal of Hydrology, 2021 - Elsevier
Flash flood risk assessment, a widely applied technology in preventing catastrophic flash
flood disasters, has become the current research hotspot. However, most existing machine …
flood disasters, has become the current research hotspot. However, most existing machine …
[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …
national governments. The destructive effects of floods are magnified in cities. Accurate …
Land use/land cover prediction and analysis of the middle reaches of the Yangtze River under different scenarios
S Zhang, P Yang, J ** based on social media data in Chengdu city, China
Increase in urban flood hazards has become a major threat to cities, causing considerable
losses of life and in the economy. To improve pre-disaster strategies and to mitigate …
losses of life and in the economy. To improve pre-disaster strategies and to mitigate …