A coherent approach of Water Quality Indices and Multivariate Statistical Models to estimate the water quality and pollution source apportionment of River Ganga System in Himalayan region, Uttarakhand, India

@article{Kumar2021ACA,
  title={A coherent approach of Water Quality Indices and Multivariate Statistical Models to estimate the water quality and pollution source apportionment of River Ganga System in Himalayan region, Uttarakhand, India},
  author={Avinash Kumar and Gagan Matta and Satyaveer Bhatnagar},
  journal={Environmental Science and Pollution Research},
  year={2021},
  volume={28},
  pages={42837 - 42852}
}
River Ganga covers around 26% of India’s land area and sustains diverse ecosystems in this overly populated area. The globally accepted coherent approach of water quality indices (WQIs) and multivariate statistical models (principal component analysis (PCA) and cluster analysis (CA)) were applied on the dataset to evaluate the spatial-temporal variation and pollution source identification and apportionment. Twenty-two hydro-chemical parameters were analyzed by collecting the samples from 20… Expand

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