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Identification of Major Risk Sources for Surface Water Pollution by Risk Indexes (RI) in the Multi-Provincial Boundary Region of the Taihu Basin, China.

Yao H, Li W, Qian X - Int J Environ Res Public Health (2015)

Bottom Line: Environmental safety in multi-district boundary regions has been one of the focuses in China and is mentioned many times in the Environmental Protection Act of 2014.The procedure proposed could be included in the integrated risk management systems of the multi-district boundary region of the Taihu basin.It could help decision makers to identify major risk sources in the risk prevention and reduction of surface water pollution.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. yaohong80@126.com.

ABSTRACT
Environmental safety in multi-district boundary regions has been one of the focuses in China and is mentioned many times in the Environmental Protection Act of 2014. Five types were categorized concerning the risk sources for surface water pollution in the multi-provincial boundary region of the Taihu basin: production enterprises, waste disposal sites, chemical storage sites, agricultural non-point sources and waterway transportations. Considering the hazard of risk sources, the purification property of environmental medium and the vulnerability of risk receptors, 52 specific attributes on the risk levels of each type of risk source were screened out. Continuous piecewise linear function model, expert consultation method and fuzzy integral model were used to calculate the integrated risk indexes (RI) to characterize the risk levels of pollution sources. In the studied area, 2716 pollution sources were characterized by RI values. There were 56 high-risk sources screened out as major risk sources, accounting for about 2% of the total. The numbers of sources with high-moderate, moderate, moderate-low and low pollution risk were 376, 1059, 101 and 1124, respectively, accounting for 14%, 38%, 5% and 41% of the total. The procedure proposed could be included in the integrated risk management systems of the multi-district boundary region of the Taihu basin. It could help decision makers to identify major risk sources in the risk prevention and reduction of surface water pollution.

No MeSH data available.


Spatial distribution of HI, EI, VI and RI values of the CSSs.
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ijerph-12-10150-f006: Spatial distribution of HI, EI, VI and RI values of the CSSs.

Mentions: Chemical storage information of 327 sites was obtained. These sites were mainly in Jiangsu province (Figure 6). The maximum value of risk indexes of these CSSs was 0.78 and the minimum value was 0.33. Of the five risk classes, the CSSs with moderate pollution risk had the biggest proportion. The number of this kind of CSSs was 150, accounting for 46% of all the CSSs. The numbers of high-moderate risk and low risk CSSs were respectively 82 and 80 with the portions of 25% and 24%. The remaining 15 sites had moderate-low pollution risk, sharing 5% of the CSSs. Though there is no high-risk site (major risk source) with RI > 0.8, the CSSs with the pollution risk more serious than the moderate level (RI > 0.6) accounted for the majority of the total and shared the proportion of 71%, which is bigger than that of the PENs.


Identification of Major Risk Sources for Surface Water Pollution by Risk Indexes (RI) in the Multi-Provincial Boundary Region of the Taihu Basin, China.

Yao H, Li W, Qian X - Int J Environ Res Public Health (2015)

Spatial distribution of HI, EI, VI and RI values of the CSSs.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4555335&req=5

ijerph-12-10150-f006: Spatial distribution of HI, EI, VI and RI values of the CSSs.
Mentions: Chemical storage information of 327 sites was obtained. These sites were mainly in Jiangsu province (Figure 6). The maximum value of risk indexes of these CSSs was 0.78 and the minimum value was 0.33. Of the five risk classes, the CSSs with moderate pollution risk had the biggest proportion. The number of this kind of CSSs was 150, accounting for 46% of all the CSSs. The numbers of high-moderate risk and low risk CSSs were respectively 82 and 80 with the portions of 25% and 24%. The remaining 15 sites had moderate-low pollution risk, sharing 5% of the CSSs. Though there is no high-risk site (major risk source) with RI > 0.8, the CSSs with the pollution risk more serious than the moderate level (RI > 0.6) accounted for the majority of the total and shared the proportion of 71%, which is bigger than that of the PENs.

Bottom Line: Environmental safety in multi-district boundary regions has been one of the focuses in China and is mentioned many times in the Environmental Protection Act of 2014.The procedure proposed could be included in the integrated risk management systems of the multi-district boundary region of the Taihu basin.It could help decision makers to identify major risk sources in the risk prevention and reduction of surface water pollution.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China. yaohong80@126.com.

ABSTRACT
Environmental safety in multi-district boundary regions has been one of the focuses in China and is mentioned many times in the Environmental Protection Act of 2014. Five types were categorized concerning the risk sources for surface water pollution in the multi-provincial boundary region of the Taihu basin: production enterprises, waste disposal sites, chemical storage sites, agricultural non-point sources and waterway transportations. Considering the hazard of risk sources, the purification property of environmental medium and the vulnerability of risk receptors, 52 specific attributes on the risk levels of each type of risk source were screened out. Continuous piecewise linear function model, expert consultation method and fuzzy integral model were used to calculate the integrated risk indexes (RI) to characterize the risk levels of pollution sources. In the studied area, 2716 pollution sources were characterized by RI values. There were 56 high-risk sources screened out as major risk sources, accounting for about 2% of the total. The numbers of sources with high-moderate, moderate, moderate-low and low pollution risk were 376, 1059, 101 and 1124, respectively, accounting for 14%, 38%, 5% and 41% of the total. The procedure proposed could be included in the integrated risk management systems of the multi-district boundary region of the Taihu basin. It could help decision makers to identify major risk sources in the risk prevention and reduction of surface water pollution.

No MeSH data available.