Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan

By S. Shrestha, F. Kazama. Environmental Modelling & Software, 2007

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Evaluation of water quality using water quality index (WQI) method and GIS in Aksu River (SW-Turkey). (2017, background): “Similar temporal variations in concentration of nutrients have been reported by Shrestha and Kazama (2007).”
Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods (2016, neutral): “CA is the task of grouping a set of objects based on the characteristics they possess [33,34] and Ward's method is a criterion applied in hierarchical cluster analysis.”
An application of Water Quality Index (WQI) and multivariate statistics to evaluate the water quality around Maddhapara Granite Mining Industrial Area, Dinajpur, Bangladesh (2017, background): “2003; Shrestha and Kazama 2007; Bu et al.”
A Bayesian hierarchical model for urban air quality prediction under uncertainty (2008, background): “Hierarchical CA, the most common type of CA (Shrestha and Kazama, 2007), is oftenused in the analysis of varieties (Gidhagen et al.”
Influences of natural and anthropogenic factors on surface and groundwater quality in rural and urban areas (2015, background): “…discharged from smelting and heavy industrial enterprises (Zhang et al. 2009); however, nutrient and organic pollution includes point source and nonpoint source pollution, such as domestic wastewater, effluent from wastewater treatment plants and agricultural run-off (Shrestha and Kazama 2007).”