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胜利油田区水体中环境雌激素生态风险评估
引用本文:王学霞,肖能文,闫春红,谢德燕,罗建武,李俊生.胜利油田区水体中环境雌激素生态风险评估[J].内蒙古环境科学,2011(9):46-47,107.
作者姓名:王学霞  肖能文  闫春红  谢德燕  罗建武  李俊生
作者单位:中国环境科学研究院,北京100012
基金项目:国家科技支撑重点技术研究与发展计划(No.2008BAC43B01,2008BAC43B02)
摘    要:为了评价胜利油田石油开采对水体中雌激素生态风险。首先,检测胜利油田区26个样品中盐度、总氮、总磷、余氯、COD、石油烃类物质含量6个常规水质指标,结果发现水体中总氮及COD的含量均值达到5.2mg/L及64mg/L,这表明该区域有机污染物及富营养化程度比较严重。其次,利用人雌激素受体基因酵母干粉法检测了样品中环境雌激素含量,结果分析发现不同采样点间的雌激素污染水平不同,雌激素含量与水质指标间无显著相关性。样品中雌激素含量范围0.046-0.072ng/L,均值为0.062ng/L,雌激素水平相对较低,这证实胜利油田水体存在环境雌激素生态风险值也较低。

关 键 词:胜利油田  雌激素  水质检测  生态风险

The Ecological Risk Assessment of Environmental Estrogens in the River of Sheng Li Oilfield
Wang Xuexia,Xiao Nengwen,Yan Chunhong,Xie Deyan,Luo Jianwu,Li Junsheng.The Ecological Risk Assessment of Environmental Estrogens in the River of Sheng Li Oilfield[J].Inner Mongolia Environmental Protection,2011(9):46-47,107.
Authors:Wang Xuexia  Xiao Nengwen  Yan Chunhong  Xie Deyan  Luo Jianwu  Li Junsheng
Institution:(Chinese Research Academy of Environmental Sciences,No.8 Dayangfang Anwai,Beijing 100012)
Abstract:In order to evaluate water ecological risk in oil exploitation of the Shengli Oil Field.First of all,26 samples were detected the 6 conventional indicator of salinity,total nitrogen,total phosphorus,residual chlorine,petroleum hydrocarbons,the results showed that tthe average value of total nitrogen and COD was 5.2 mg/L and 64 mg/L,the content of the organic pollutants and eutrophication level were more serious in the region.Secondly,estrogen receptor gene yeast powder method was used to detect environmental estrogen in the Shengli Oil Field.The results were analysised and found that there was different levels of estrogen pollution in different sample,and no significant correlation between Estrogen and water quality.The results of the study showed that estrogen of the value range 0.046 to 0.072 ng/L,average value is 0.062 ng/L,so the estrogen level is lower,so the value of environmental estrogens ecological risk is quite low in this region.
Keywords:shengli oil  field  environmental estrogens  water quality detection  ecological risk
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