The increasing availability of hydrological and physiographic spatiotemporal data has
boosted machine learning's role in rapid flood mapping. Yet, data scarcity, especially high …

With the increasing frequency of extreme rainfall events in urban areas, the risk of flooding to
urban infrastructure is on the rise. It is crucial to systematically elucidate the response of …

Social media has been an instant source of information for natural disasters, such as urban
floods, throughout the world. Ex-post evaluation of the information is considered more …

Climate change is responsible for unpredictable weather patterns in Southeast Asia,
especially in Pakistan. To better understand the influence of lunar phases and …

In the face of global climate warming, outdoor thermal comfort in urban settings is
increasingly critical. However, accurately predicting residents' thermal perceptions during …

The rainfall characteristics of flash floods are highly sensitive to the joint impacts of different
rainfall event features. In this study, we propose an objective framework for identifying …

The analysis of extreme rainfall parameters, particularly rainfall intensities, plays a serious
role in the protection, productivity, and resilience of hydrological systems against storms and …

The frequency of the occurrence of disasters, and the severity of their effects have both been
significantly rising over the past few decades across the world. Recognizing the potential of …