2021
DOI: 10.1088/1755-1315/791/1/012172
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Temporal variation and water quality assessment of Xiaoqing River catchment

Abstract: Xiaoqing River plays an import role in water supply, flood control and ecological protection in Shandong Province. The deterioration of water quality seriously threatens the safety of drinking water for local residents and water ecological environment. In order to investigate the present situation of Xiaoqing River, the cluster analysis was used to study the temporal variation of water quality, and the composite pollution index was used to assess the river water, lake and reservoir water quality. The temporal … Show more

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“…There are numerous methods for assessing the water environment at the moment, such as the single-factor assessment method, the Nemero pollution index method, the comprehensive water quality identification index method, and the principal component analysis method [19][20][21]. These assessment methodologies have been extensively employed in river, lake, and reservoir water quality evaluations, providing vital scientific support for water pollution prevention and aquatic environment governance [22]. The combined FCE-PCA (Fuzzy Comprehensive Evaluation-Principal Component Analysis) model should be useful in assessing water quality in the Nansi Lake Basin [23].…”
Section: Introductionmentioning
confidence: 99%
“…There are numerous methods for assessing the water environment at the moment, such as the single-factor assessment method, the Nemero pollution index method, the comprehensive water quality identification index method, and the principal component analysis method [19][20][21]. These assessment methodologies have been extensively employed in river, lake, and reservoir water quality evaluations, providing vital scientific support for water pollution prevention and aquatic environment governance [22]. The combined FCE-PCA (Fuzzy Comprehensive Evaluation-Principal Component Analysis) model should be useful in assessing water quality in the Nansi Lake Basin [23].…”
Section: Introductionmentioning
confidence: 99%