The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
Explainable machine learning for the prediction and assessment of complex drought impacts
Drought is a common and costly natural disaster with broad social, economic, and
environmental impacts. Machine learning (ML) has been widely applied in scientific …
environmental impacts. Machine learning (ML) has been widely applied in scientific …
[HTML][HTML] Explainable artificial intelligence in disaster risk management: Achievements and prospective futures
Disasters can have devastating impacts on communities and economies, underscoring the
urgent need for effective strategic disaster risk management (DRM). Although Artificial …
urgent need for effective strategic disaster risk management (DRM). Although Artificial …
Analytic hierarchy process based land suitability for organic farming in the arid region
The use of organic farming in the Thar desert region (great Indian desert) is extremely low
due to the low humidity and high temperatures across India. As a result, the desert area …
due to the low humidity and high temperatures across India. As a result, the desert area …
Efficiency evaluation of low impact development practices on urban flood risk
SA Ayoublu, M Vafakhah, HR Pourghasemi - Journal of Environmental …, 2024 - Elsevier
Urban flood risk assessment delivers invaluable information regarding flood management
as well as preventing the associated risks in urban areas. The present study prepares a …
as well as preventing the associated risks in urban areas. The present study prepares a …
Multi-hazards (landslides, floods, and gully erosion) modeling and mapping using machine learning algorithms
AM Youssef, AM Mahdi, MM Al-Katheri… - Journal of African Earth …, 2023 - Elsevier
The current study aimed at producing a multi-hazard susceptibility map for the Hasher-Fayfa
Basin. The basin is part of the Jazan region in southwestern Saudi Arabia and is …
Basin. The basin is part of the Jazan region in southwestern Saudi Arabia and is …
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 …
Hazard assessment and hazard mapping for Kuwait
A Al-Hemoud, A Al-Enezi, H Al-Dashti, P Petrov… - International Journal of …, 2023 - Springer
Hazard maps are essential tools to aid decision makers in land-use planning, sustainable
infrastructure development, and emergency preparedness. Despite the availability of …
infrastructure development, and emergency preparedness. Despite the availability of …
Flooding in the urban fringes: analysis of flood inundation and hazard levels within the informal settlement of Kibera in Nairobi, Kenya
Overlapping conditions of rapid urbanisation and climate change across developing
countries are threatening the capacity of cities to manage climate risks, especially in the …
countries are threatening the capacity of cities to manage climate risks, especially in the …
Uncertainty reduction in Flood susceptibility mapping using Random Forest and eXtreme Gradient Boosting algorithms in two Tropical Desert cities, Shibam and Marib …
Flooding is a natural disaster that coexists with human beings and causes severe loss of life
and property worldwide. Although numerous studies for flood susceptibility modelling have …
and property worldwide. Although numerous studies for flood susceptibility modelling have …