Urban flooding risks, often overlooked by conventional methods, can be profoundly affected
by city configurations. However, explainable Artificial Intelligence could provide insights into …

Flooding presents a formidable challenge in the United States, endangering lives and
causing substantial economic damage, averaging around $5 billion annually. Addressing …

In recent years, there has been a growing interest in flood susceptibility modeling. In this
study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the …

Urban pluvial flooding has become a threatening hazard to ecosystem and human lives in
recent years. Identifying its driving factors is essential for stormwater management. A …

Climate change and increasing urbanization are two primary factors responsible for the
increased risk of serious flooding around the world. The prediction and monitoring of the …

With catastrophic climate change and accelerated urbanization, urban flooding has
emerged as the most influential hazard over last few decades. Therefore, a systematic study …

Due to the complex interaction of urban and mountainous floods, assessing flood
susceptibility in mountainous urban areas presents a challenging task in environmental …

Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

Flash floods are a type of catastrophic disasters which cause significant losses of life and
property worldwide. In recent years, machine learning techniques have become powerful …