Stochastic potential ecological risk model for heavy metal contamination in sediment. (July 2019)
- Record Type:
- Journal Article
- Title:
- Stochastic potential ecological risk model for heavy metal contamination in sediment. (July 2019)
- Main Title:
- Stochastic potential ecological risk model for heavy metal contamination in sediment
- Authors:
- Feng, Yan
Bao, Qian
Yunpeng, Chen
Lizi, Zhao
Xiao, Xiao - Abstract:
- Highlights: Potential ecological risk index ignores the uncertainty in the background. A new stochastic potential ecological risk model (SPERM) is established. SPERM has a better capacity in uncertainty analysis. Hg and Cd are the key risk indices of Eastern Dongting Lake. Abstract: Conventional potential ecological risk index (PERI) cannot address the uncertainty in the geochemical background of heavy metal. For a solution, a stochastic potential ecological risk model (SPERM) is established based on uncertainty analysis theory. SPERM uses the stochastic risk index to recognize the risk category and the stochastic risk vector to quantify the uncertainty in evaluation. SPERM is applied to ecological risk assessment in the sediment of Eastern Dongting Lake. Results show the following: (i) Compared with conventional PERI, SPERM has better capacity in addressing the uncertainty in geochemical background information and better capacity in grade reorganization. (ii) The major risk indices of Eastern Dongting Lake are mercury (Hg) and cadmium (Cd). In the sediment Xiang River estuary, both the potential ecological risk grades of Hg and Cd are "high;" and they have possibilities of 0.25 and 0.37 to deteriorate to the "very high" category, respectively. In the sediment of Xinqiang River estuary and the central part of Eastern Dongting Lake, the potential ecological risk grades of Hg and Cd are "considerable" and "very high, " respectively. Furthermore, the potential ecological riskHighlights: Potential ecological risk index ignores the uncertainty in the background. A new stochastic potential ecological risk model (SPERM) is established. SPERM has a better capacity in uncertainty analysis. Hg and Cd are the key risk indices of Eastern Dongting Lake. Abstract: Conventional potential ecological risk index (PERI) cannot address the uncertainty in the geochemical background of heavy metal. For a solution, a stochastic potential ecological risk model (SPERM) is established based on uncertainty analysis theory. SPERM uses the stochastic risk index to recognize the risk category and the stochastic risk vector to quantify the uncertainty in evaluation. SPERM is applied to ecological risk assessment in the sediment of Eastern Dongting Lake. Results show the following: (i) Compared with conventional PERI, SPERM has better capacity in addressing the uncertainty in geochemical background information and better capacity in grade reorganization. (ii) The major risk indices of Eastern Dongting Lake are mercury (Hg) and cadmium (Cd). In the sediment Xiang River estuary, both the potential ecological risk grades of Hg and Cd are "high;" and they have possibilities of 0.25 and 0.37 to deteriorate to the "very high" category, respectively. In the sediment of Xinqiang River estuary and the central part of Eastern Dongting Lake, the potential ecological risk grades of Hg and Cd are "considerable" and "very high, " respectively. Furthermore, the potential ecological risk of Cd in Xinqiang River estuary has a probability of 0.14 to deteriorate to "very high" grade. … (more)
- Is Part Of:
- Ecological indicators. Volume 102(2019)
- Journal:
- Ecological indicators
- Issue:
- Volume 102(2019)
- Issue Display:
- Volume 102, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 102
- Issue:
- 2019
- Issue Sort Value:
- 2019-0102-2019-0000
- Page Start:
- 246
- Page End:
- 251
- Publication Date:
- 2019-07
- Subjects:
- Potential ecological risk -- Uncertainty analysis -- Heavy metal -- Eastern Dongting Lake
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2019.02.040 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9812.xml