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| Research on assessment methods for soil heavy metal pollution: A case study of Guangzhou |
| Received:January 15, 2016 |
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| KeyWord:soil;heavy metal pollution assessment;single factor index;integrative assessment method |
| Author Name | Affiliation | | XIE Zhi-yi | Guangdong Environmental Monitoring Center, Guangzhou 510308, China
Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China | | ZHANG Ya-jing | Guangdong Environmental Monitoring Center, Guangzhou 510308, China
Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China | | CHEN Dan-qing | Guangdong Environmental Monitoring Center, Guangzhou 510308, China
Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China | | YANG Jian-jun | Guangdong Environmental Monitoring Center, Guangzhou 510308, China
Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China | | LIANG Yao-jie | Guangdong Environmental Monitoring Center, Guangzhou 510308, China
Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China |
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| Abstract: |
| Based on assessment objects, current methods for soil environmental quality assessment can be grouped two types:single factor index methods (Single factor index, Potential ecological risk assessment, Geoaccumulation index and Enrichment factor) and comprehensive assessment methods (Nemerow index, Fuzzy mathematics, Grey clustering method, and Matter element analysis). In this study, we qualitatively and quantitatively evaluated different assessment methods by applying graduation statistics, correlation analysis, grade difference analysis and complex sorting analysis to data of 8 heavy metals in 208 surface soil samples from Guangzhou, China. Results showed:Based on the grading degree, Enrichment index is the optimal single factor method for evaluating single heavy metal, while Nemerow index and Fuzzy mathematics methods were the best integrative assessment methods; Correlation analysis showed that the average correlation coefficient of Matter element analysis model with the other four integrative assessment methods was 0.477, which was the greatest for integrative assessment methods. This indicates that Matter element analysis model was the best; Grade difference analysis showed that the average difference value of assessment grades of Fuzzy mathematics method (0.71) is minimum, indicating that Fuzzy mathematics method was the best; Ranking integrative assessment methods indicated that Fuzzy mathematics method ranked the first, followed by Matter element analysis model, Nemerow index method, Grey clustering method and Potential ecological risk index. In conclusion, Enrichment index method and Fuzzy mathematics method are the optimal methods. Both methods could be combined while assessing soil heavy metal contamination. |
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