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DOI 10.1007/s10661-022-10386-0

Медицинская библиотека · Environmental monitoring and assessment · 2022

Spatial water quality assessment of a mountain stream in northwestern India using multivariate statistical techniques.

Kumar Ravinder, Dutt Vandana, Raina Anil, Sharma Neeraj

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Аннотация

The water quality of Himalayan rivers and streams is deteriorating due to multitude of anthropogenic and natural influences and the changes are more pronounced in smaller hill basins with high human influx. Inadequate data and lack of monitoring further exacerbate the situation. The surface water quality of one such hill stream, Neeru was evaluated for potability and irrigation quality. The water quality parameters were analysed at 25 sampling stations over a stretch of 30 km across four seasons during a 2-year study from January 2014 to December 2015. The CCME Water Quality Index (WQI) indicated excellent water quality in upstream stations, while the midstream and a few downstream stations revealed varying degrees of impaired water quality. Although the irrigation quality of the stream was excellent, pollution levels near urban areas were rather high, necessitating considerable treatment for human consumption. The factor analysis yielded seven components with Eigenvalues greater than one that accounted for 83.656% of the variance and enabled the grouping of selected parameters based on comparable characteristics. The hydrogeochemical characteristics of the water samples indicated that they lie within the zone of rock dominance, while the trilinear diagram depicted the Ca-bicarbonate rich stream water. The study concluded that the upstream stations revealed pristine water quality, which significantly degraded towards human settlements. It thus calls for regular and long-term monitoring of the surface water quality to ensure the continuous and sustainable use of this important water body.

Для цитирования: Kumar Ravinder, Dutt Vandana, Raina Anil, Sharma Neeraj. Spatial water quality assessment of a mountain stream in northwestern India using multivariate statistical techniques.. Environmental monitoring and assessment. 2022. DOI: 10.1007/s10661-022-10386-0.

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