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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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Comprehensive Water Quality Assessment Using Korean Water Quality Indices and Multivariate Statistical Techniques for Sustainable Water Management of the Paldang Reservoir, South Korea

TL;DR: In this article , the authors evaluated the Paldang Reservoir water quality by applying Korean water quality indices and multivariate statistical techniques (MSTs) from 2017 to 2021 and found that organic matter, suspended matter, total phosphorus (TP), chlorophyll a (Chl-a), and total coliforms exhibited a fair grade or higher.
Journal ArticleDOI

Evaluation of bioaccumulation and toxicity of Tubifex tubifex exposed to contaminated river sediment by potentially toxic elements — A case study of the Middle Black Sea, Turkey

TL;DR: In this paper , the concentrations of potentially toxic elements (PTEs) in sediment were measured at five sampling sites selected as Kızılırmak (T1), Engiz River (T2), Mert River(T3), Abdal River, T4, and Yeşilırmaksi (T5), and a 28-day toxicity test was conducted with T. tubifex to evaluate the accumulation and toxicity of the contamination.
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.
Journal ArticleDOI

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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