Results 91 to 100 of about 4,489 (218)

Use of Water Quality Index and Pesticides‐Related Human Health Risk Assessment for Evaluating the Surface Water Sustainability Status of the Kakia‐Esamburmbur Agricultural Watershed, Narok County, Kenya

open access: yesGeoHealth, Volume 9, Issue 4, April 2025.
Abstract The increase in water contaminants threatens ecosystems and human health, underscoring the need for effective water quality (WQ) control. This study assessed the Kakia‐Esamburmbur catchment's water sustainability status for drinking purposes by analyzing water samples from the catchment.
Wendyam Arsene Flavien Damiba   +3 more
wiley   +1 more source

Assessment of Groundwater Quality Using the Pollution Index of Groundwater (PIG), Nitrate Pollution Index (NPI), Water Quality Index (WQI), Multivariate Statistical Analysis (MSA), and GIS Approaches: A Case Study of the Mnasra Region, Gharb Plain, Morocco

open access: yes
Groundwater, an invaluable resource crucial for irrigation and drinking purposes, significantly impacts human health and societal advancement. This study aims to evaluate the groundwater quality in the Mnasra region of the Gharb Plain, employing a ...
Latifa Mouhir   +8 more
core   +1 more source

Water quality assessment to determine the trophic state and suitability of Lake Sentani (Indonesia) for various utilisation purposes

open access: yesWater Cycle
Lake Sentani is one of the national priority lakes that must be saved from eutrophication and the threat of water quality degradation due to pollution. This study aims to assess the water quality parameters of Lake Sentani at ten study sites.
Rosye Hefmi Rechnelty Tanjung   +3 more
doaj   +1 more source

Spatial distribution of health risk assessment of a drinking water reservoir exposed to urban agglomeration and industrial lead contamination in Istanbul, Türkiye

open access: yesWater Environment Research, Volume 97, Issue 2, February 2025.
The contents of 12 PTEs in the surface water of the dam lake were compared. Ecological risk indices and GIS‐based maps were used to assess stochastic health risks of PTEs. Factor/cluster and correlation analyses were conducted for source identification of PTEs.
Hüseyin Cüce   +5 more
wiley   +1 more source

Integrated water quality indices as tools for evaluating small hydropower impacts

open access: yesWater Resources and Industry
Robust water-quality assessment is critical to supporting evidence-based hydropower policy and compliance with river basin management objectives. This study evaluated the effectiveness and representativeness of selected water quality indices (WQIs, based
Paweł Tomczyk   +5 more
doaj   +1 more source

Wastewater Characterization of Chiniot Drain and Evaluation of Groundwater Contamination Using Water Quality Index (WQI) and GIS Techniques

open access: yes, 2023
Groundwater pollution is considered a major concern in today’s world. Most industries in Pakistan produce untreated wastewater, extracting from and contaminating a nearby water source and the soil.
Rana Ammar Aslam   +9 more
core   +1 more source

Fervença river water quality evaluation – water quality index (WQI)

open access: yes, 2022
Water is fundamental for the survival of every specie on planet Earth and is a crucial element of the environment. Water bodies, however, have degraded over time due to various natural and mainly human-polluting activities. As a result, water quality control is required to monitor and reduce polluting agents while maintaining river health. The adoption
openaire   +1 more source

Development of a Universal Water Quality Index (UWQI) for South African River Catchments

open access: yes, 2020
The assessment of water quality has turned to be an ultimate goal for most water resource and environmental stakeholders, with ever-increasing global consideration.
Muthukrishnavellaisamy Kumarasamy   +1 more
core   +1 more source

Artificial Neural Network (ANN)-Based Water Quality Index (WQI) for Assessing Spatiotemporal Trends in Surface Water Quality—A Case Study of South African River Basins

open access: yes
Artificial neural networks (ANNs) are powerful data-oriented “black-box” algorithms capable of assessing and delineating linear and multifaceted non-linear correlations between the dependent and explanatory variables.
Muthukrishnavellaisamy Kumarasamy   +1 more
core   +1 more source

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