The moisture content of dead fuels is an important determinant of many aspects of bushfire
behaviour. Understanding the relationships of fuel moisture with weather, fuels and …

This research proposes and evaluates a new approach for flash flood susceptibility map**
based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high …

Cold regions involve hydrological processes that are not often addressed appropriately in
hydrological models. The Cold Regions Hydrological Modelling platform (CRHM) was …

Accurate process‐based prediction of climate change effects on wildfires requires coupling
processes across orders of magnitude of time and space scales, because climate dynamic …

This study proposes a novel flash flood susceptibility prediction framework with a particular
emphasis on the extent of imbalance between the number of flooding and non-flooding …

In the context of global urbanization, more and more people are attracted to these cities with
superior geographical conditions and strategic positions, resulting in the emergence of …

The June 2013 flood in the Canadian Rockies featured rain‐on‐snow (ROS) runoff
generation at alpine elevations that contributed to the high streamflows observed during the …

Given its singular properties and location, forest floor (litter+ duff) is a key factor in
hydrological processes. Water infiltration research was carried out for the present study in …

Dead fuel moisture influences the risk of fire ignition events, with implications for fire
hazards, risk mitigation, and the design of prescribed burning activities. Because direct fuel …

Rainfall interception and other hydrologic processes affected by the forest litter layer are
usually related to litter characteristics and rainfall conditions, with limited studies that …