某铀尾矿库周边土壤中铀元素的空间分布与污染评价
发布时间：2018-07-13 12:11
【摘要】：为查明某铀尾矿库周边土壤中铀元素的空间分布特征及污染程度,对该铀尾矿库进行了现场采样,利用便携式XRF元素分析仪进行了原位测试,并采用SPSS软件对铀元素的测试数据进行了统计分析。结果表明:该铀尾矿库周边土壤中铀元素含量的平均值分别是中国及其所在省土壤中铀元素含量背景值的4倍和2.3倍,而样品中铀元素含量变异系数达到61.84%,属于强变异,且样品中铀元素含量的统计频数属于正偏态分布,这说明该铀尾矿库对其周边土壤产生了一定的污染效应。在统计分析基础上,运用单因子污染指数法与地质累积指数法,并结合Arc GIS空间分析功能对该铀尾矿库周边土壤中铀元素污染程度进行了定量评价,评价结果表明,主要污染区域集中在该铀尾矿库坝址区0~500 m范围内及尾矿库NE侧的应急处理池周围0~100 m内,该评价结果可为铀尾矿库治理及植物修复提供基础数据。
[Abstract]:In order to find out the spatial distribution characteristics and contamination degree of uranium elements in the soil around a uranium tailings reservoir, the in-situ sampling of the uranium tailings reservoir was carried out, and the in-situ test was carried out by using a portable XRF element analyzer. The test data of uranium are analyzed by SPSS software. The results show that the average value of uranium element content in the soil around the uranium tailings reservoir is 4 times and 2.3 times of the background value of the soil uranium element content in China and its provinces, while the variation coefficient of uranium element content in the sample reaches 61.84, which is a strong variation. The statistical frequency of uranium content in the sample is positive distribution, which indicates that the uranium tailings reservoir has a certain pollution effect on the surrounding soil. On the basis of statistical analysis, using single factor pollution index method and geological accumulation index method, combined with the spatial analysis function of Arc GIS, the degree of uranium element pollution in the soil around the uranium tailings reservoir was quantitatively evaluated. The main polluted area is concentrated in the area of 0 ~ 500m in the dam site of the uranium tailing reservoir and within 100 m around the emergency treatment pool on the NE side of the tailings reservoir. The evaluation results can provide basic data for the treatment and phytoremediation of the uranium tailing reservoir.
【作者单位】： 西南科技大学核废物与环境安全国防重点学科实验室;
【基金】：国家自然科学基金资助项目(41402248) 非金属复合与功能材料科技部重点实验室开放基金资助项目(11zxfk06) 核废物与环境安全国防重点学科实验室团队基金资助项目(13zxnk08) 核废物与环境安全四川省协同创新中心预研基金资助项目(15yyhk03) 西南科技大学重点科研平台专职科研创新团队基金资助项目(14tdhk01);西南科技大学研究生创新基金资助项目(15ycx051,15ycx052) 四川省教育厅科研项目资助(16ZB0150) ***治理与生物修复关键技术研究与工程集成项目资助(14zg6101)
【分类号】：X753;X825
，
本文编号：2119330
[Abstract]:In order to find out the spatial distribution characteristics and contamination degree of uranium elements in the soil around a uranium tailings reservoir, the in-situ sampling of the uranium tailings reservoir was carried out, and the in-situ test was carried out by using a portable XRF element analyzer. The test data of uranium are analyzed by SPSS software. The results show that the average value of uranium element content in the soil around the uranium tailings reservoir is 4 times and 2.3 times of the background value of the soil uranium element content in China and its provinces, while the variation coefficient of uranium element content in the sample reaches 61.84, which is a strong variation. The statistical frequency of uranium content in the sample is positive distribution, which indicates that the uranium tailings reservoir has a certain pollution effect on the surrounding soil. On the basis of statistical analysis, using single factor pollution index method and geological accumulation index method, combined with the spatial analysis function of Arc GIS, the degree of uranium element pollution in the soil around the uranium tailings reservoir was quantitatively evaluated. The main polluted area is concentrated in the area of 0 ~ 500m in the dam site of the uranium tailing reservoir and within 100 m around the emergency treatment pool on the NE side of the tailings reservoir. The evaluation results can provide basic data for the treatment and phytoremediation of the uranium tailing reservoir.
【作者单位】： 西南科技大学核废物与环境安全国防重点学科实验室;
【基金】：国家自然科学基金资助项目(41402248) 非金属复合与功能材料科技部重点实验室开放基金资助项目(11zxfk06) 核废物与环境安全国防重点学科实验室团队基金资助项目(13zxnk08) 核废物与环境安全四川省协同创新中心预研基金资助项目(15yyhk03) 西南科技大学重点科研平台专职科研创新团队基金资助项目(14tdhk01);西南科技大学研究生创新基金资助项目(15ycx051,15ycx052) 四川省教育厅科研项目资助(16ZB0150) ***治理与生物修复关键技术研究与工程集成项目资助(14zg6101)
【分类号】：X753;X825
，
本文编号：2119330
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