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Contamination Level, Ecological Risk, and Source Identification of Heavy Metals in the Hyporheic Zone of the Weihe River, China.
Ahamad, Muhammad Irfan; Song, Jinxi; Sun, Haotian; Wang, Xinxin; Mehmood, Muhammad Sajid; Sajid, Muhammad; Su, Ping; Khan, Asif Jamal.
Affiliation
  • Ahamad MI; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
  • Song J; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.
  • Sun H; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
  • Wang X; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.
  • Mehmood MS; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling 712100, China.
  • Sajid M; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
  • Su P; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China.
  • Khan AJ; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China.
Article in En | MEDLINE | ID: mdl-32046204
ABSTRACT
The sediment pollution caused by different metals has attracted a great deal of attention because of the toxicity, persistence, and bio-accumulation. This study focuses on heavy metals in the hyporheic sediment of the Weihe River, China. Contamination levels of metals were examined by using "geo-accumulation index, enrichment factor, and contamination factor" while ecological risk of metals were determined by "potential ecological risk and risk index." The pollutant accumulation of metals ranked as follows "manganese (Mn) > chromium (Cr) > zinc (Zn) >copper (Cu) > nickel (Ni) > arsenic (As) > lead (Pb)". The geo-accumulation index identified arsenic as class 1 (uncontaminated to moderate contamination), whereas Cu, Cr, Ni, Zn, Pb, and Mn were classified as class 0 (uncontaminated). According to the enrichment factor, arsenic originated through anthropogenic activities and Cr, Ni, Cu, Zn, and Pb were mainly controlled by natural sources. The contamination factor elucidated that sediments were moderately polluted by (As, Cr, Cu, Zn, Mn, and Pb), whereas Ni slightly contaminated the sediments of the Weihe River. All metals posed a low ecological risk in the study area. The risk index revealed that contribution of arsenic (53.43 %) was higher than half of the total risk.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Metals, Heavy Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: Int J Environ Res Public Health Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water Pollutants, Chemical / Metals, Heavy Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Country/Region as subject: Asia Language: En Journal: Int J Environ Res Public Health Year: 2020 Document type: Article Affiliation country: