地球科学进展 ›› 2013, Vol. 28 ›› Issue (9): 1036 -1042. doi: 10.11867/j.issn.1001-8166.2013.09.1036

研究论文 上一篇    下一篇

白云山地表水重金属健康风险不确定性评价
宋 焱 1,2,徐颂军 1*,张 勇 2,廖秀英 2,张林英 1,杨 秀 1,杨文槐 1,冯晓丹 1   
  1. 1. 华南师范大学地理科学学院,广东 广州 510631;
    2. 湖南科技大学地理科学系,湖南 湘潭 411201
  • 收稿日期:2013-05-22 修回日期:2013-07-26 出版日期:2013-09-10
  • 通讯作者: 徐颂军(1962-),男,广东梅州人,教授,主要从事植物地理与环境生态学研究.E-mail:xsjscnu@126.com E-mail:徐颂军 xsjscnu@126.com
  • 基金资助:

    国家自然科学基金项目“基于信息图谱的珠三角人工红树林次生湿地生态系统健康研究”(编号:41271060);广东省科技计划项目“珠江河口湿地土壤重金属污染诊断及植物修复技术研究”(编号:2012B010500025)资助.

Uncertainty Evaluation of the Surface Water’sHeavy Metal Health Risk in Baiyun Mountain

Song Yan 1,2, Xu Songjun 1, Zhang Yong 2, Liao Xiuying 2, Zhang Linying 1,Yang Xiu 1, Yang Wenhuai 1, Feng Xiaodan 1   

  1. 1.College of Geography Science, South China Normal University, Guangzhou 510631, China;
    2. Department of Geography Science, Hu’nan University of Science and Technology, Xiangtan 411201, China
  • Received:2013-05-22 Revised:2013-07-26 Online:2013-09-10 Published:2013-09-10

为了解广州市白云山地表水重金属健康风险水平,测量了白云山山南、山北9个采样点的水体温度,pH值,Cd,As,Cr,Hg,Pb,Mn,Cu,Zn和Ni等物化指标,构建了白云山地表水重金属不确定性健康风险评价模型,对评价标准进行模糊化分级,确定了隶属度和风险等级的归属。通过对比不确定性模型和确定性模型的评价结果发现:2012年广州市白云山地表水重金属健康风险级别较高,山南总风险值为5.19×10-4和1.14×10-4,山北总风险值为6.88×10-4和2.33×10-4,都处于中—高等级及其以上,甚至达到极高风险级别,且山北地表水重金属健康风险等级较山南高;不确定性地表水重金属健康风险评价模型相比确定性评价模型更加真实、合理;相关参考文献中有关不确定性评价模型的健康风险总分值和风险等级隶属度公式等问题有待进一步商榷。

The water environmental health risk assessment relates environmental pollution with human health, taking its risk degree as evaluation index, quantitatively describing the risk that pollution does great harm to human body. To understand the surface water’s heavy metal health risk in Guangzhou Baiyun Mountain, this study measured the nine sampling points in Baiyun Mountain’s south mountain and north mountain, including these physical and chemical indicators, such as water temperature, pH value, Cd, As, Cr, Hg, Pb, Mn, Cu,Zn and Ni, constructing the uncertainty evaluation model of the surface water’s heavy metal health risk in Baiyun Mountain(heavy metal including radioactive substances, chemical carcinogens and body toxic substances, etc.), having a fuzzy classification of the health risk assessment standard of the surface water’s heavy metal, further determining the membership degree and the belonging of the risk grade. By comparing the evaluation results of the uncertainty model and the deterministic model, the study found that: the surface water’s heavy metal health risk level was higher in Guangzhou Baiyun Mountain in 2012, being of the high grade and above, even achieving the highest grade; the surface water’s heavy metal health risk level of the north mountain was higher than the south mountain; the uncertainty evaluation model of the surface water’s heavy metal health risk was more reasonable and comprehensive to reflect the real situation of the surface water’s heavy metal quality concentration than the deterministic model. Besides, in the relevant references these questions on the total score of the health risk of the uncertainty evaluation model, the membership degree formula of the risk grade, etc. need  further discussion.

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