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Development of Site-Specific BSAFs for Development of Remediation Goals in Sediment and Floodplain Soils

机译:制定针对特定地点的BSAF,以制定沉积物和洪泛区土壤的修复目标

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Background/Objectives. Developing site-specific preliminary remediation goals (PRGs)is a complex process requiring detailed analysis and stakeholder acceptance. Biotasediment/soil accumulation factors (BSAFs) were developed during the remedial investigation(RI) at Superfund site consisting of an 80-acre oxbow lake. These BSAFs weredeveloped for mercury accumulation in fish from sediment using site-specific data.Approach/Activities. Tissue data for predatory fish and forage fish were paired withsediment samples collected within a typical home range of each fish group in the oxbowlake. Data pairs were plotted, and a variety of regression analyses were performed tochoose the regression with the best fit. Data pairs were evaluated in various ways (i.e., byyear of collection and by fish species) to determine an acceptable regression modelcorrelating site sediment and tissue data. Acceptable regression models were developedin consensus with EPA and were identified as having a R~2 greater than 0.70 and a p-valueless than 0.05. The regression model with the higher R~2 values and the lowest p-valuewas chosen as the sediment-to-fish BSAF. The sediment-to-fish BSAF regression equationswere utilized in the remediation goal calculations for sediment intended to beprotective of fish and the aquatic environment.A similar exercise was performed for calculating mercury bioaccumulation factors(BAFs) in insects from adjacent floodplain soils. Insect tissue samples were collectedfrom the floodplain along with collocated soil samples in the 0-6 inch depth interval.Data pairs included collocated soil samples as well as samples within close proximity tothe location of insect collection. Acceptable regression models were considered to have aR2 greater than 0.70 and a p-value less than 0.05. The regression model with the higherR2 and the lowest p-value was chosen as the soil-to-insect BAF. This BAF regressionequation was utilized in the remediation goal calculations for floodplain soils intended tobe protective of the terrestrial environment.Results/Lessons Learned. Use of the BSAF/BAF method resulted in USEPA-acceptablePRGs for mercury in sediment and floodplain soils.
机译:背景/目标。制定特定于站点的初步补救目标(PRG) 这是一个复杂的过程,需要详细的分析和利益相关者的接受。生物酶沉淀/ 在补救调查中开发了土壤累积因子(BSAFs) (RI)位于由80英亩的牛弓湖组成的Superfund网站。这些BSAF是 利用特定地点的数据开发了用于沉积物中鱼类中汞积累的方法。 方法/活动。将掠食性鱼类和饲料性鱼类的组织数据与 在牛b的每个鱼类群的典型栖息地内收集的沉积物样本 湖。绘制数据对,并进行各种回归分析以 选择最适合的回归。数据对通过各种方式进行评估(例如,通过 收集年份和鱼类种类)确定可接受的回归模型 关联沉积物和组织数据。开发了可接受的回归模型 与EPA一致,被确定为R〜2大于0.70,且p值 小于0.05。具有较高R〜2值和最低p值的回归模型 被选为沉积物对鱼类的BSAF。沉积物到鱼类的BSAF回归方程 被用于补救目标计算中的拟沉积物 保护鱼类和水生环境。 进行了类似的练习来计算汞的生物累积因子 (BAFs)来自邻近洪泛区土壤中的昆虫。收集昆虫组织样本 在0-6英寸的深度范围内,从洪泛区和并置的土壤样本中提取。 数据对包括并置的土壤样品以及与之相邻的样品 昆虫收集的位置。可接受的回归模型被认为具有 R2大于0.70,p值小于0.05。回归模型具有较高的 选择R2和最低的p值作为土壤-昆虫BAF。 BAF回归 该方程被用于洪泛区土壤的修复目标计算中,旨在 保护地球环境。 结果/经验教训。 BSAF / BAF方法的使用产生了USEPA可接受的结果 沉积物和洪泛区土壤中汞的PRG。

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