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出 处:《中国环境科学》2016年第7期2146-2153,共8页China Environmental Science
基 金:国家自然科学基金青年科学基金项目(41503103);湖北省自然科学基金面上项目(2014CFB895)
摘 要:以α-HCH与p,p′-DDT为主要研究对象,以泉州湾及其重要汇水流域——晋江流域为研究区域,构建了LevelⅢ多介质非平衡稳态逸度模型,对该区域α-HCH与p,p′-DDT在各环境相中浓度、容纳能力、储量分布及各相间的迁移通量进行了计算分析,并对模型关键输入参数的灵敏度进行了探讨.结果显示:α-HCH与p,p′-DDT在土壤相,水相以及沉积物相中的模拟计算浓度与野外样品实测平均浓度吻合度较高,验证了模型的有效性;当研究系统达到平衡时,环境各相对α-HCH与p,p′-DDT容纳能力由大到小分别为沉积物,土壤,水及空气;α-HCH在土壤与沉积物中的储量之和为总储量的97.42%,p,p′-DDT则为99.89%,是其主要的汇区;α-HCH与p,p′-DDT从研究区域迁移消逝的主要途径为水的平流输出,在环境相间迁移过程中,α-HCH的主要迁移途径为水体向大气的迁移,而p,p′-DDT的主要迁移途径为水体向沉积物的迁移;灵敏度分析指出辛醇-水分配系数对数值log Kow是影响污染物在环境相中浓度分布的最主要因素.A multimedia fugacity model (Level Ⅲ) was applied to simulate the concentrations distribution, fugacity reserves distribution and transfer flux of α-HCH and p,p’-DDT in Jinjiang River basin and Quanzhou Bay. Meanwhile, the key input parameters were identified using sensitivity analysis method. The reliability of the fugacity model is verified by the agreement between calculated and measured concentrations in soil, water and sediment. The capacities of the four environmental compartments to hold α-HCH and p,p’-DDT in the following orders: sediment, soil, water and air. The mass of α-HCH and p,p’-DDT in soil and sediment were 97.42% and 99.89%, which is the major sink for α-HCH and p,p’-DDT. The water advection outflow were the major routes for α-HCH and p,p’-DDT disappear in the study area. The main transfer processes of α-HCH and p,p’-DDT is diffusion from water to air and deposition from water to sediment. The results of sensitivity analysis in this study indicated that the logKow had significant influence on α-HCH and p,p’-DDT concentrationsin various media.
分 类 号:X131[环境科学与工程—环境科学]
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