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Journal ArticleDOI

Multivariate statistical evaluation of dissolved trace elements and a water quality assessment in the middle reaches of Huaihe River, Anhui, China

TLDR
The results of the water quality index (WQI) indicate that water in the Huaihe River is heavily polluted by trace elements, so approximately 96% of the river water is unsuitable for drinking and a health risk assessment suggests that Co, Cd and Pb in the river could cause non-carcinogenic harm to human health.
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This article is published in Science of The Total Environment.The article was published on 2017-04-01. It has received 309 citations till now. The article focuses on the topics: Water quality & Tributary.

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Citations
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Spatial Distribution, Source Analysis and Health Risk Study of Heavy Metals in the Liujiang River Basin in Different Seasons

TL;DR: In this paper , three high-frequency sampling and monitoring experiments were performed at the Lutang and Luowei transects of the Liujiang River entrance and at the southeast exit of the Liuzhou during 2019 for the purpose of assessing physico-chemical variables and human health hazards of water heavy metals in different rainfall processes.
Journal ArticleDOI

Assessment of Spatial – Temporal Variations in Freshwater Pollution by Means of Water Quality Index: A Case Study of Hasanağa Stream Basin (Edirne, Turkey)

TL;DR: Although it was determined that the water quality decreased significantly in 2020, the basin was found to be of "A Grade – Excellent" water quality in both 2019 and 2020.
Journal ArticleDOI

The Content Level, Spatial and Temporal Distribution Characteristics, and Health-Risk Assessment of Trace Elements in Upper Lancang River (Changdu Section)

TL;DR: Wang et al. as mentioned in this paper evaluated trace elements in the water of Lancang River during the wet season (October) and dry season (December) to analyze the content of trace elements.
References
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Journal ArticleDOI

Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)—a case study

TL;DR: This study presents necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of large complex data sets with a view to get better information about the water quality and design of monitoring network for effective management of water resources.
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Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan

TL;DR: The over-extraction of groundwater is the major cause of groundwater salinization and arsenic pollution in the coastal area of Yun-Lin, Taiwan and this model explains over 77.8% of the total groundwater quality variation.
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Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis

TL;DR: In this article, an ANOVA of the rotated principal components has demonstrated that mineral contents are seasonal and climate dependent, thus pointing to a natural origin for this polluting form and pollution by organic matter and nutrients originates from anthropogenic sources, mainly as municipal wastewater.
Journal ArticleDOI

Assessment of the surface water quality in Northern Greece.

TL;DR: The necessity and usefulness of multivariate statistical assessment of large and complex databases in order to get better information about the quality of surface water, the design of sampling and analytical protocols and the effective pollution control/management of the surface waters is presented.
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Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin

TL;DR: Investigation of the middle and lower reaches of the Yangtze River in China found that heavy metals may be mainly derived from metal processing, electroplating industries, industrial wastewater, and domestic sewage, and Hg may also originate from coal combustion.
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