Urbanization increases regional impervious surface area, which generally reduces
hydrologic response time and therefore increases flood risk. The objective of this work is to …

This study presents the first nationwide spatial assessment of flood risk to identify social
vulnerability and flood exposure hotspots that support policies aimed at protecting high‐risk …

In recent years, geospatial data (eg remote sensing imagery), and other relevant ancillary
datasets (eg land use land cover, climate conditions) have been utilized through …

Following a flood the functioning of critical infrastructure (CI), such as power and
transportation networks, plays an important role in recovery and the resilience of the city …

Empirical evidence points out that urban form adaptation to climate-induced flooding events—
through interventions in land uses and town plans (ie, street networks, building footprints …

Data-driven flow-forecasting models, such as artificial neural networks (ANNs), are
increasingly featured in research for their potential use in operational riverine flood warning …

Fecal contamination of recreational waters (ie lakes, rivers, beaches) poses an on-going
problem for environmental and public health. Heavy rainfall can exacerbate existing …

Abstract Study region Humber River Basin, Southern Ontario, Canada. Study focus
Anthropogenic influence on climate is expected to intensify heavy precipitation in Eastern …

Sediment core and water quality data, together with historical information on land use/land
cover (LULC), were used to reconstruct changes in phosphorus (P) loading and cycling in …

In Canada, climate change is expected to increase the extreme precipitation events by
magnitude and frequency, leading to more intense and frequent river flooding. In this study …