In urban environments, decentralized energy systems from renewable photovoltaic
resources, clean and available, are gradually replacing conventional energy systems as an …

Decision tree-based classifier ensemble methods are a machine learning (ML) technique
that combines several tree models to produce an effective or optimum predictive model, and …

Gully erosion is one of the most severe environmental problems in large areas of Iran. The
spatial distribution of gully erosion and its susceptibility zonation was studied using different …

Landslide susceptibility map is considered as one of the important steps in assessing
vulnerability of an area to landslide hazard. In this study, the main objective is to propose …

This article proposes a new methodological approach using a combination of expert
knowledge-based (analytic hierarchy process, AHP), bivariate (statistical index, SI) and …

The Morina genus has 13 species in the world, out of which only M. persica L. is found to be
growing wild in Iran. The aim of this research is to predict the spatial distribution and model …

Small earthquakes following a large event in the same area are typically aftershocks, which
are usually less destructive than mainshocks. These aftershocks are considered mainshocks …

This paper investigates the climate change influence on landslide susceptibility mapping
(LSM) using a case study conducted on Penang Island in Malaysia, a region prone to …

Natural disasters are a great threat to human life. Landslide is a natural threat to the
environment that causes substantial damage to property and loss of life. This affects both the …

Arsenic (As) is one of the most important dangerous elements as more than 100 million of
people are exposed to risk, globally. The permissible threshold of As for drinking water is 10 …