Ecological Risk and Economic Loss Estimation of Heavy Metals Pollution in The Beijiang River

• Authors: Jiajun He , Huimin Zhang , Hui Zhang , Xuan Guo , Mingwei Song , Junhao Zhang , Xiaotao Li

Title variants

PL

Ocena Ryzyka Ekologicznego I Strat Ekonomicznych Wynikających Z Zanieczyszczenia Metalami Ciężkimi Rzeki Beijiang

• Languages of publication: EN

Abstracts

EN

The distribution and extent of heavy metal accumulation in the fluvial sediment of the Beijiang River are described. The potential toxicity of this pollution was quantified using a consensus based sediment quality guidelines (SQGs) method and the Hakanson potential ecological risk index. The concentrations of Hg, As, Cu, Zn, Pb, Ni and Cr were high enough to damage the sediment biota on a frequent basis. The potential ecological risk was much higher in the downstream, urbanized reaches of the river than in the upstream reaches which are still rural, but all sections of the river posed at least a moderate level of ecological risk. Estimates of the economic loss associated with these pollutions were appreciable, and were mainly due to Hg and Cu. The Beijiang River basin is heavily polluted, posing environmental risks for the downstream reaches of the Pearl River, and economic loss to the whole watershed.

Keywords

EN

ecological risk assessment; economic loss estimation; heavy metals; sediment; ecosystem service; Beijiang River

• Publisher: De Gruyter Open
• Journal: Ecological Chemistry and Engineering S
• Year: 2014
• Volume: 21
• Issue: 2
• Pages: 189-199

Dates

online

8 - 7 - 2014

Contributors

author

Jiajun He

• Guanghua School of Management Peking University, Beijing, 100871, China

author

Huimin Zhang

• Jiangxi Provincial Center for Environment Monitoring, Nanchang 330077, China

author

Hui Zhang

• School of Environmental Science and Engineering, Anhui Normal University, Wuhu 241003, China

author

Xuan Guo

• College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China, phone [phone]

author

Mingwei Song

• Wuhan Polytechnic University, Wuhan, 430070, China

author

Junhao Zhang

• Guanghua School of Management Peking University, Beijing, 100871, China

author

Xiaotao Li

• Wuhan Polytechnic University, Wuhan, 430070, China

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Identifiers

DOI

10.2478/eces-2014-0015