Floods are one of the most widespread natural hazards occurring across the globe. The
main objective of this study was to produce flood susceptibility maps for the province of …

Land subsidence is probably one of the most evident environmental effects of groundwater
pum**. Globally, freshwater demand is the leading cause of this phenomenon. Land …

The identification of landslide-prone areas is an essential step in landslide hazard
assessment and mitigation of landslide-related losses. In this study, we applied two novel …

There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …

Forests fires in northern Iran have always been common, but the number of forest fires has
been growing over the last decade. It is believed, but not proven, that this growth can be …

This paper focuses on landslide susceptibility prediction in Nanchuan, a high-risk landslide
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …

In this study, we developed Different Artificial Intelligence (AI) models namely Artificial
Neural Network (ANN), Adaptive Network based Fuzzy Inference System (ANFIS) and …

Recently, global climate change discussions have become more prominent, and forests are
considered as the ecosystems most at risk by the consequences of climate change. Wildfires …

Climate change has increased the probability of the occurrence of catastrophes like
wildfires, floods, and storms across the globe in recent years. Weather conditions continue to …

This study attempted to map land subsidence susceptibility using a support vector machine
(SVM) model and their different kernel functions in Kerman province, Iran. Initially, land …