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扎龙湿地龙湖重金属污染情况及其潜在生态风险评价
引用本文:李苗,臧淑英,吴彬,孙清展,苏丹,那晓东. 扎龙湿地龙湖重金属污染情况及其潜在生态风险评价[J]. 环境工程, 2012, 30(5): 100-103. DOI: 10.13205/j.hjgc.201205025
作者姓名:李苗  臧淑英  吴彬  孙清展  苏丹  那晓东
作者单位:黑龙江省普通高等学校地理环境遥感监测重点实验室哈尔滨师范大学地理科学学院,哈尔滨,150025
基金项目:国家自然科学基金重点项目,国家自然科学基金青年项目,黑龙江省高等学校科技创新团队建设计划项目
摘    要:为了探讨龙湖中重金属污染情况,测定了龙湖中9个取样点的重金属元素含量,并从中选取Mn、Cu、Pb、As 4种重金属元素进行水质评价。通过灰色关联评价分析,所采集的9个样点中有8个样点都属于Ⅴ类水质、1个样点属于Ⅳ水质。采用Hakanson潜在生态风险指数法对龙湖沉积物进行重金属潜在生态风险评价分析,4种重金属的潜在风险顺序为Cu>As>Pb>Mn,其中每个样点的Cu元素都达到了极强的潜在生态危害,As元素的潜在生态危害程度都达到了强度生态危害。

关 键 词:重金属  龙湖  灰色关联  潜在风险评价

POLLUTION AND THE POTENTIAL ECOLOGICAL RISK ASSESSMENT OF HEAVY METALS IN LONG LAKE OF ZHALONG WETLAND
Li Miao Zang Shuying Wu Bin Sun Qingzhan Su Dan Na Xiaodong. POLLUTION AND THE POTENTIAL ECOLOGICAL RISK ASSESSMENT OF HEAVY METALS IN LONG LAKE OF ZHALONG WETLAND[J]. Environmental Engineering, 2012, 30(5): 100-103. DOI: 10.13205/j.hjgc.201205025
Authors:Li Miao Zang Shuying Wu Bin Sun Qingzhan Su Dan Na Xiaodong
Affiliation:Li Miao Zang Shuying Wu Bin Sun Qingzhan Su Dan Na Xiaodong(Key Laboratory of Remote Sensing Monitoring of Geographic Environment,College of Heilongjiang Province, School of Geographical Sciences,Harbin Normal University,Harbin 150025,China)
Abstract:In order to discuss the heavy metals pollution in the Long Lake,9 samples were collected from Long Lake in Zhalong Wetland.The content of Mn,Cu,Pb and As in the lake were measured by ICP-MAS.The heavy metals pollution was evaluated by the grey relation analysis.The results indicated that the correlation degree of 8 samples reached the five class standard,as well as the correlation degree of 1 sample reached the four class standard.Meanwhile,Hakanson potential ecological risk index was adopted to analyze and evaluate the heavy metal pollution.The order of potential ecological risk of the 4 kinds of heavy metals was Cu>As>Pb >Mn.Cu of all samples reached the strongest potential ecological risk,and As of all samples reached stronger potential ecological risk.
Keywords:heavy metals  Long Lake  grey relation  potential ecological risk assessment
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