Over the past few decades, there has been a significant increase in population and
unsustainable urbanization, resulting in the exploitation of water and energy resources on a …

Global warming is affecting animal populations worldwide, through chronic temperature
increases and an increase in the frequency of extreme heatwave events. Reservoirs are …

In order to mitigate/prevent the risks of landslides, one of the essential tools that can be used
to manage and plan the development of human settlements is landslide susceptibility. The …

In this research, to predict landslide susceptibility map** (LSM), we have studied and
optimized an artificial neural network (ANN) by utilizing the backtracking search algorithm …

For the conservation and sustainable use of the oceanic environment, monitoring of
underwater regions is ineluctable and is effectuated with the aid of an underwater wireless …

In recent decades, qualitative and quantitative assessments of groundwater sources reveal
that efficient and accurate optimization approaches may assist in solving the multiple …

Following an investigation into a number of papers published as part of the Urban
Groundwater Special Issue in Urban Climate, it became evident that the names of two co …

In this study, hydrological modeling at the watershed level is used to assess the impacts of
climate and land use changes on the catchment area of the Khanpur Dam, which is an …

Global Navigation Satellite System (GNSS)-and Remote Sensing (RS)-based Earth
observations have a significant approach on the monitoring of natural disasters. Since the …

The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …