This paper aims to review parameters, model techniques, validation methods in
groundwater potential field. According to statistics, there are three major model groups used …

Flood has long been known as one of the most catastrophic natural hazards worldwide.
Mapping flood-prone areas is an important part of flood disaster management. In this study …

Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for
complex optimization problems. Despite its widespread application, the abundance of social …

Urban air pollution is one of the most critical issues that affect the environment, community
health, economy, and management of urban areas. From a public health perspective, PM …

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 …

Floods are the natural disaster that occurs most frequently due to the weather and causes
the most widespread destruction. The purpose of the proposed research is to analyze flood …

In this paper, land subsidence susceptibility was assessed for Shahryar County in Iran using
the adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. Another aim …

The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …

Flooding is one of the most prevalent types of natural catastrophes, and it can cause
extensive damage to infrastructure and the natural environment. The primary method of …