AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …
rising temperatures, sea levels, and extreme weather events are already being felt around …
[HTML][HTML] A hybrid of ensemble machine learning models with RFE and Boruta wrapper-based algorithms for flash flood susceptibility assessment
Flash floods are among the world most destructive natural disasters, and developing
optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling …
optimum hybrid Machine Learning (ML) models for flash flood susceptibility (FFS) modeling …
A systematic literature review on classification machine learning for urban flood hazard mapping
M El baida, M Hosni, F Boushaba… - Water Resources …, 2024 - Springer
The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …
rainfall-runoff transformation process presents a pressing need to shift to machine learning …
[HTML][HTML] An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility
Urban flooding risks, often overlooked by conventional methods, can be profoundly affected
by city configurations. However, explainable Artificial Intelligence could provide insights into …
by city configurations. However, explainable Artificial Intelligence could provide insights into …
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
Flood susceptibility modeling of the Karnali river basin of Nepal using different machine learning approaches
S Duwal, D Liu, PM Pradhan - Geomatics, Natural Hazards and …, 2023 - Taylor & Francis
Abstract The Karnali River Basin (KRB) comprises the longest river in Nepal, located south
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
of the Himalayas. Despite its high susceptibility to floods, the basin lacks detailed studies …
[HTML][HTML] Flood susceptibility mapping to improve models of species distributions
As significant ecosystem disturbances flooding events are expected to increase in both
frequency and severity due to climate change, underscoring the critical need to understand …
frequency and severity due to climate change, underscoring the critical need to understand …
Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan
Flooding is a natural but unavoidable disaster that occurs over time. Flooding threatens
human life, property, and resources and affects regional and national economies. Through …
human life, property, and resources and affects regional and national economies. Through …
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …
management challenges are typically complicated in the transboundary river basin due to …
[HTML][HTML] Machine learning models for gully erosion susceptibility assessment in the Tensift catchment, Haouz plain, Morocco for sustainable development
Y Bammou, B Benzougagh, O Abdessalam… - Journal of African Earth …, 2024 - Elsevier
Gully erosion is a widespread environmental danger, threatening global socio-economic
stability and sustainable development. This study comprehensively applied seven machine …
stability and sustainable development. This study comprehensively applied seven machine …