A method of identifying priority spatial patterns for the management of potential ecological risks posed by heavy metals

被引:23
|
作者
Fang, S. B. [1 ,2 ]
Jia, X. B. [3 ]
Yang, X. Y. [1 ]
Li, Y. D. [2 ]
An, S. Q. [3 ]
机构
[1] Fudan Univ, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China
[2] Shanghai Ocean Univ, Coll Fisheries & Life Sci, Shanghai 201306, Peoples R China
[3] Nanjing Univ, Sch Life Sci, Inst Wetland Ecol, Nanjing 210093, Jiangsu, Peoples R China
关键词
Heavy metals; NDVI; Ecological risk assessment; Ecological hotspots; Priority spatial patterns; BIODIVERSITY HOTSPOTS; CONTAMINATION; SEDIMENT; BIRDS; MULTIVARIATE; INDEX; ACCUMULATION; ENRICHMENT; ESTUARINE; ELEMENTS;
D O I
10.1016/j.jhazmat.2012.08.044
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
An approach of identifying priority spatial patterns in response to different ecological risk levels associated with heavy metals (HM) is proposed. First, ecological hotspots (EH) are delineated by integrating NDVI-based assessment with the impact assessment of anthropogenic impact sources. Second, the HM potential ecological risks index (PERI) is calculated and spatially interpolated. Finally, the EH with different PERI values are identified through logic calculation. Study results show that 45.2% of the study region has low HM risks. 53.2% with moderate HM risks, and only 1.6% with high HM risks. In addition, the percentage of EH with low HM risks is 6.5%; the percentage with moderate HM risks is 5.4%; and the percentage with high HM risks is 0.4%. The EH with low and moderate HM ecological risks are proposed to be the regions in priority for management. This approach is potentially useful to HM ecological risk assessment and HM contamination management around the world. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:290 / 298
页数:9
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