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Dotaniya, M. L., Meena, V. D., Rajendiran, S., Coumar, M. V., Saha, J. K., Kundu, S., & Patra, A. K. (2016). Geo-Accumulation Indices of Heavy Metals in Soil and Groundwater of Kanpur, India under Long Term Irrigation of Tannery Effluent. Bulletin of Environmental Contamination and Toxicology, 98, 706-711.
https://doi.org/10.1007/s00128-016-1983-4

has been cited by the following article:

• TITLE: The Application of Regional Coordinate in the Relatively Heavily Polluted Area of Chromium in Water of the Hun River, Northeast China

  AUTHORS: Kan Zhang, Xue Feng

  KEYWORDS: Heavy Metal Pollution, Mathematical Model, Risk Evaluation

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.11 No.9, September 25, 2023

  ABSTRACT: The aim of the present investigation was to research the relatively heavily polluted area of chromium in water of the Hun River. According to variance analysis, the concentrations of chromium in water showed significant differences at different sampling stations. In addition, we obtained the static concentration function of chromium in water by using a curve-fitting tool and the measured data. It was clear that the static concentration function perfectly revealed the change in regulations between the concentration of chromium in water and spatial coordinates. We furthermore determined the relatively heavily polluted area of chromium in water by using a regional coordinate formula. The results indicated that the relatively heavily polluted area of chromium in water was from H1 to H2, which was highly consistent with the measured data. It is clear that the determination of the relatively heavily polluted area of chromium is helpful to the comprehensive treatment of chromium pollution. The static concentration function and the regional coordinate of the relatively heavily polluted area of chromium in water comprehensively describe the distribution characteristics of chromium in water, which provide a scientific basis for water environment improvement and risk management in the Hun River.