首页 | 本学科首页   官方微博 | 高级检索  
     

土壤重金属污染评价方法研究——以广州市为例
引用本文:谢志宜,张雅静,陈丹青,杨剑军,梁耀杰. 土壤重金属污染评价方法研究——以广州市为例[J]. 农业环境科学学报, 2016, 35(7): 1329-1337. DOI: 10.11654/jaes.2016.07.015
作者姓名:谢志宜  张雅静  陈丹青  杨剑军  梁耀杰
作者单位:广东省环境监测中心,广州510308;广东省环境保护土壤环境监测和重金属溯源重点实验室,广州510308
基金项目:国家自然科学基金项目(41201540);广东省自然科学基金项目(S2011040001105);国家重大科学仪器设备开发专项(2012YQ060115);广东省环保专项(粤环[2015]62号);广东省省长人才培养基金项目
摘    要:目前土壤环境质量评价方法按照评价对象可归纳为单因子指数法和综合评价法两类若干种。以广州市208个土壤样品8种重金属为研究对象,创新性地采用分级统计、相关性分析、评价等级差值分析、综合排序分析等方法对目前主要的土壤环境质量评价方法进行定性和定量研究,旨在推荐最适合的土壤环境质量评价方法。结果表明:从评价结果的分级程度看,单因子指数法中富集指数法最优,综合评价法中内梅罗指数法和模糊数学法最优;相关性分析结果表明,物元分析法与其他4种综合评价法的平均相关性系数为0.477,大于其他综合评价法的平均相关性系数,按照评价结果一致性原则,物元分析法最优;评价等级差值分析表明,模糊数学法与其他4种综合评价法评价等级的平均差值最小,为0.71,按照评价等级接近的原则,模糊数学法最优;通过综合排序比较各综合评价法的排序得出,模糊数学法平均排名最优,其次为物元分析法、内梅罗指数法、灰色聚类法、潜在生态危害指数法。综上所述,富集指数法和模糊数学法是两种首选方法,在土壤重金属污染评价中可以组合使用。

关 键 词:土壤  重金属污染评价  单因子指数法  综合评价法
收稿时间:2016-01-15

Research on assessment methods for soil heavy metal pollution: A case study of Guangzhou
XIE Zhi-yi,ZHANG Ya-jing,CHEN Dan-qing,YANG Jian-jun and LIANG Yao-jie. Research on assessment methods for soil heavy metal pollution: A case study of Guangzhou[J]. Journal of Agro-Environment Science( J. Agro-Environ. Sci.), 2016, 35(7): 1329-1337. DOI: 10.11654/jaes.2016.07.015
Authors:XIE Zhi-yi  ZHANG Ya-jing  CHEN Dan-qing  YANG Jian-jun  LIANG Yao-jie
Affiliation:Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China,Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China,Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China,Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China and Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China
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.
Keywords:soil  heavy metal pollution assessment  single factor index  integrative assessment method
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《农业环境科学学报》浏览原始摘要信息
点击此处可从《农业环境科学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号