Multivariate statistical analysis, geostatistical techniques and structural equation modeling
were used to determine the main factors and mechanisms controlling the spatial variation of …

In the recent times, water quality of most of the rivers in India has been steadily degrading
due to increasing numbers of point and non-point sources of pollution. The tremendous …

Understanding of how changes in diverse human activities and climate contribute to water
quality dynamics is crucial for sustainable water environment management especially in the …

Inappropriate land use is considered a main factor in the deterioration of water quality. The
relationship between land use and water quality (RLW) is complex, so the exploration of …

This study employed factor analysis (FA)/Principal component analysis (PCA), and
hierarchical cluster analysis (HCA), as chemometric techniques in Bahr El-Baqar drain …

This study evaluated the temporal and spatial variations of water quality data sets for the
Xin'anjiang River through the use of multivariate statistical techniques, including cluster …

River water can be known as one of the source of water supply in arid and semi-arid
regions. One of the important purposes of hydrology is to ensure water supply in accordance …

The delineation of hydrologically homogeneous regions is an important issue in regional
hydrological frequency analysis. In the present study, an application of the Growing Neural …

This study aims to optimize the water quality monitoring of a polluted watercourse (Leça
River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA) …

In this paper fuzzy analytical hierarchy process (FAHP) has been developed to evaluate
status of water quality at eight selected stations along river Yamuna. A decision support …