Antunes S C, Castro B B, Pereira R, Gonçalves F
Departmento de Biologia, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal.
Sci Total Environ. 2008 Feb 15;390(2-3):387-95. doi: 10.1016/j.scitotenv.2007.07.053. Epub 2007 Sep 12.
This study presents the first ecotoxicological data concerning the soils of the area surrounding the Cunha Baixa uranium mine. Our main goal was to categorise soils from the area based on their toxicity profiles using a battery of cost- and time-effective bioassays (elutriate approach - Microtox and Daphnia acute tests; whole-soil approach - Microtox and avoidance assays with Eisenia andrei), as a part of tier 1 of an ongoing Environmental Risk Assessment. No acute toxicity was found for any of the 10 sites/soils using Microtox or Daphnia. On the contrary, the behavioural response of E. andrei was found to be an extremely sensitive endpoint, allowing the discrimination of highly to moderately toxic soils based on their toxicity profiles (as a function of soil concentration). Soils exhibiting highest toxicity corresponded to areas subjected to runoffs or sludge deposition from the aquatic effluent, while non-toxic soils were farthest to the mine. Data obtained in avoidance assays strengthen the previous evaluation of risks based on chemical data and supported decisions about proceeding for tier 2.
本研究提供了关于库尼亚·baix铀矿周边地区土壤的首批生态毒理学数据。我们的主要目标是作为正在进行的环境风险评估第一层级的一部分,使用一系列经济高效的生物测定法(淘析法——微毒性和大型溞急性试验;全土法——微毒性和安德列水丝蚓回避试验),根据该地区土壤的毒性特征对其进行分类。使用微毒性试验或大型溞试验对10个场地/土壤进行测试,均未发现急性毒性。相反,发现安德列水丝蚓的行为反应是一个极其敏感的终点,能够根据其毒性特征(作为土壤浓度的函数)区分高毒性至中等毒性的土壤。毒性最高的土壤对应于受到来自水产废水径流或污泥沉积影响的区域,而无毒土壤距离矿井最远。在回避试验中获得的数据强化了先前基于化学数据的风险评估,并支持了关于进入第二层级的决策。