Saisana Michaela, Dubois Gregoire, Chaloulakou Archontoula, Spyrellis Nikolas
Department of Chemical Engineering, National Technical University of Athens, Heroon Polytechniou 9, Zografou Campus, 15780, Greece.
Environ Sci Technol. 2004 Mar 1;38(5):1275-81. doi: 10.1021/es034652+.
Delineation of polluted zones with respect to regulatory standards, accounting at the same time for the uncertainty of the estimated concentrations, relies on classification criteria that can lead to significantly different pollution risk maps, which, in turn, can depend on the regulatory standard itself. This paper reviews four popular classification criteria related to the violation of a probability threshold or a physical threshold, using annual (1996-2000) nitrogen dioxide concentrations from 40 air monitoring stations in Milan. The relative advantages and practical limitations of each criterion are discussed, and it is shown that some of the criteria are more appropriate for the problem at hand and that the choice of the criterion can be supported by the statistical distribution of the data and/or the regulatory standard. Finally, the polluted area is estimated over the different years and concentration thresholds using the appropriate risk maps as an additional source of uncertainty.
根据监管标准划定污染区域,同时考虑估计浓度的不确定性,这依赖于分类标准,而这些标准可能导致显著不同的污染风险地图,反过来,这些地图又可能取决于监管标准本身。本文使用米兰40个空气监测站的年度(1996 - 2000年)二氧化氮浓度,回顾了与违反概率阈值或物理阈值相关的四种常用分类标准。讨论了每种标准的相对优势和实际局限性,结果表明,某些标准更适合当前问题,并且可以通过数据的统计分布和/或监管标准来支持标准的选择。最后,使用适当的风险地图作为不确定性的额外来源,估计不同年份和浓度阈值下的污染区域。