Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

Urban flooding has become a major problem in many parts of the world due to its social,
economic and environmental impact. In Ghana, flood occurs every year, which adversely …

This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …

Flood is one of the most common natural disasters worldwide and has caused serious harm
to humans, socio-economy and the environment. Identification and classification of flood …

This article identifies potential flood hazard areas through multi‐criteria analysis in
Allahabad district, India. The study has incorporated eight criteria, namely, flow …

Floods represent catastrophic environmental hazards that have a significant impact on the
environment and human life and their activities. Environmental and water management in …

This article evaluates the current gaps and describes opportunities for improving flood risk
management (FRM) in Ghana, West Africa. A mixed‐method participatory approach …

The frequency in occurrence and severity of floods has increased globally. However, many
regions around the globe, especially in developing countries, lack the necessary field …

Flood hazard zoning is an important problem that has received much attention from
environmental researchers. This problem requires complex spatial analysis; hence …

Accurate information on flood extent and exposure is critical for disaster management in
data-scarce, vulnerable regions, such as Sub-Saharan Africa (SSA). However, uncertainties …