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The temporal response of dissolved heavy metals to landscape indices in the Le'an river, China.
Chen, Liwen; Zhang, Hua; Xie, Zhenglei; Ding, Mingjun; Devlin, Adam Thomas; Jiang, Yinghui; Xie, Kun.
Afiliação
  • Chen L; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China.
  • Zhang H; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; Key Lab of Poyang Lake Wetland and Watershed Research, Ministry of Education, Nanchang 330022, China. Electronic address: zhangh2013@jxnu.edu.cn.
  • Xie Z; College of Marine Science & Engineering, Nanjing Normal University, Nanjing 210023, China.
  • Ding M; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; Key Lab of Poyang Lake Wetland and Watershed Research, Ministry of Education, Nanchang 330022, China.
  • Devlin AT; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; Key Lab of Poyang Lake Wetland and Watershed Research, Ministry of Education, Nanchang 330022, China.
  • Jiang Y; State Key Laboratory of Estuarine and Coastal Research, East China Normal University, 500 Dongchuan Road, Shanghai 200241, China.
  • Xie K; School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China; Department of Special Education, Yuzhang Normal University, Nanchang 330103, China.
Environ Res ; 210: 112941, 2022 07.
Article em En | MEDLINE | ID: mdl-35176317
ABSTRACT
Heavy metals in watersheds are a serious concern due to their toxicity, abundance, and persistence in the environment, especially in mining areas. Source analyses and exploration of other related factors are one of the most important methods to help with effective prevention and control of heavy metal pollution in watersheds. In this study, the concentrations of Cr, Co, Ni, Cu, Zn, As, Cd, Sb, Ba and Pb were measured in the Le'an River, and PCA (principal component analysis) and APCS-MLR (absolute principal component scores - multivariate linear regression) methods were used to identify the sources of the dissolved heavy metals. Additionally, a CA (correlation analysis) method was used to explore the correlations between landscape indices and concentrations of heavy metals. Results show that the main sources for these dissolved heavy metals are mining activities, fertilizers, pesticides, and natural sources. Specific results of PCA and APCS-MLR suggest that Cu, Zn, Cd, Ba are mainly related to mining activities, Cr and Pb are due to fertilizers and pesticides, and Co and Ni are mainly due to natural sources. Correlations between landscapes and heavy metals revealed significant temporal variations, with the strongest responses of dissolved heavy metals to landscape indices appearing in December and March. The propensity of positive or negative responses of the heavy metals to landscape indices are determined by the sources, and their temporal variations may be related to the seasonal changes of rainfall and plant metabolism.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Praguicidas / Poluentes do Solo / Metais Pesados Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Praguicidas / Poluentes do Solo / Metais Pesados Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China