Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

The aim of this research was to evaluate the existing remote sensing (RS) products, various
tools and techniques, and their limitations in retrieving the optically active (OA) Chlorophyll-a …

Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …

Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …

Reliable water quality models are crucial for better water management and pollution control.
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …

Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …

Assessing groundwater quality is essential for achieving sustainable development goals
worldwide. However, it is challenging to conduct hydrochemical analysis and water quality …

With the development of machine learning and artificial intelligence (ML/AI) models, data-
driven soft sensors, especially the neural network-based, have widespread utilization for the …

Assessing water quality is essential for managing freshwater resources, safeguarding
ecosystems, and guaranteeing public health. Traditional water quality assessment methods …