Surface waters are the most important economic resource for humans which provide water
for agricultural, industrial and anthropogenic activities. Surface water quality plays vital role …

Research on water quality is a fundamental step in supporting the maintenance of
environmental and human health. The elements involved in water quality analysis are …

Landscape patterns and land cover changes critically impact the hydrological cycling of
pollutants and affect receiving water quality significantly. Understanding spatial distribution …

In this study, principal component analysis (PCA), factor analysis (FA), and the absolute
principal component score-multiple linear regression (APCS-MLR) receptor modeling …

This article describes design and application of feed-forward, fully-connected, three-layer
perceptron neural network model for computing the water quality index (WQI) 1 for Kinta …

Pollution in raw water poses increasing threats to safe water supply in many developing
countries. Therefore, a comprehensive water quality assessment is essential to provide …

This study investigates the spatial water quality pattern of seven stations located along the
main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster …

This study evaluated the heavy metal pollution level of tannery effluent-affected lagoon and
canal water in the southwestern Dhaka, Bangladesh. The measured physicochemical …

Understanding the spatial distribution and apportioning the sources of water pollution are
important in the study and efficient management of water resources. In this work, we …

Three classification techniques (loading and score projections based on principal
components analysis (PCA), cluster analysis (CA) and self-organizing maps (SOM)) were …