Research Centre for Environmental Chemistry and Ecotoxicology (RECETOX), Faculty of Science of Masaryk University, Kamenice 126/3, 625 00 Brno, Czech Republic.
Sci Total Environ. 2010 Jan 1;408(3):486-94. doi: 10.1016/j.scitotenv.2009.09.049. Epub 2009 Nov 10.
A total number of 471 soil samples collected during the period of 1996-2006 from the agricultural and forest areas of the Czech Republic were analyzed for their content of persistent organic pollutants (POPs). Spatial variability of the POP concentrations was assessed using an IDW spatial GIS model analysis. For every grid of the network, resulting modeled levels of contamination allowed for estimation of the total burden of POPs in soils. Potential risks associated with contaminated soils were assessed as well. Database of the old ecological burdens counting 3061 sampling sites was used to adjust the model and incorporate the risks of heavily contaminated sites. The high levels of health risks were only found at less than 1% of the area of interest. The IDW modeling proved to be a useful tool for screening of the health risks in the large areas with scarce monitoring data. Presented approach can be applied in the risk management, to support an efficient targeting of the risk reduction measures, or to improve a design of the national monitoring.
1996 年至 2006 年期间，从捷克共和国的农业和森林地区采集了总共 471 个土壤样本，对其持久性有机污染物（POPs）含量进行了分析。使用 IDW 空间 GIS 模型分析评估了 POP 浓度的空间变异性。对于网络中的每个网格，所得的污染模型水平允许估算土壤中 POP 的总负担。还评估了与污染土壤相关的潜在风险。使用旧的生态负担数据库，该数据库包含 3061 个采样点，对模型进行了调整，并纳入了污染严重地区的风险。仅在不到 1%的关注区域发现了高水平的健康风险。IDW 建模被证明是一种用于筛选大面积、监测数据稀缺地区健康风险的有用工具。提出的方法可应用于风险管理，以支持有针对性地采取减少风险的措施，或改进国家监测的设计。
