Sanitary landfill is still considered as one of the most significant and least expensive
methods of waste disposal. It is essential to consider environmental impacts while selecting …

The impact resistance of Polyurethane (PU)-based polymer concrete was investigated using
U-shaped specimens tested on a newly designed drop-weight impact test device. The PU …

The global warming and climate changes determined a considerable increase in the
frequency of floods and their related damages. Therefore, the high accuracy prediction of …

Flooding is one of the most destructive natural phenomena that happen worldwide, leading
to the damage of property and infrastructure or even the loss of lives. The escalation in the …

In this study, a convolutional neural network (CNN)-based approach is proposed to assess
flood susceptibility for urban catchment. Nine explanatory factors covering precipitation …

Floods, one of the most common natural hazards globally, are challenging to anticipate and
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …

Flood resilience assessment is an important step for any community as it gives the actual
scenario of its ability to resist and recover from flood disasters. However, operationalising …

Accurate mapping of flood risk areas is the basis for providing basic information on flood
hazard reduction strategies and facilitates the relocation process. This study compared …

This research proposes a novel step-wise binary prediction framework for the susceptibility
assessment of geo-hydrological hazards specific to floods and landslides. The framework of …

This study examined landslide susceptibility, an increasingly common problem in
mountainous regions across the world as a result of urbanization, deforestation, and various …