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Assessment of water quality and safety based on multi-statistical analyses of nutrients, biochemical indexes and heavy metals
Journal of Central South University ( IF 4.4 ) Pub Date : 2020-05-15 , DOI: 10.1007/s11771-020-4361-7
Dong-yi Jiang , Yun-yan Wang , Qi Liao , Zhe Long , San-yang Zhou

The purpose of this research was to better understand the water quality status of the Xiangjiang River, China, and to evaluate the risks posed by the river water. Precisely, ten water quality parameters including pH, dissolved oxygen (DO), Escherichia coli (E. coli), potassium permanganate index (CODMn), dichromate oxidizability (CODcr), five-day biochemical oxygen demand (BOD5), ammonia nitrogen (NH4+-N), total phosphorus (TP) and fluoride (F) as well as metal(loid)s (Pb, Hg, Cd, As, Zn, Cu and Se) were monitored monthly in 2016 at 12 sampling sites throughout the Hengyang section of the Xiangjiang River. Concentrations of all parameters were presented according to rainy and dry seasons. They were compared with Chinese surface water standards and WHO drinking water limits to assess the sustainability of the river water status. Principal component analysis (PCA) revealed different pollution sources in different seasons. Dual hierarchical cluster analysis (DHCA) was applied to further classify the water quality variables and sampling sites. Besides, a risk assessment was introduced to evaluate the carcinogenic and non-carcinogenic concerns of heavy metal(loid)s to human health. This research will help to optimize water monitoring locations and establish pollution reduction strategies on the preservation of public safety.

更新日期:2020-05-15
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