J Air Waste Manag Assoc. 2014 Sep;64(9):995-1002. doi: 10.1080/10962247.2014.905509.
States rely upon photochemical models to predict the impacts of air quality attainment strategies, but the performance of those predictions is rarely evaluated retrospectively. State implementation plans (SIPs) developed to attain the 1997 U.S. standard for fine particulate matter (PM2.5; denoting particles smaller than 2.5 microns in diameter) by 2009 provide the first opportunity to assess modeled predictions of PM2.5 reductions at the state level. The SIPs were the first to rely upon a speciated modeled attainment test methodology recommended by the U.S. Environmental Protection Agency to predict PM2.5 concentrations and attainment status. Of the 23 eastern U.S. regions considered here, all but one achieved the 15 microg/m3 standard by 2009, and the other achieved it the following year with downward trends sustained in subsequent years. The attainment tests predicted 2009 PM2.5 design values at individual monitors with a mean bias of 0.38 microg/m3 and mean error of 0.68 microg/m3, and were 95% accurate in predicting whether a monitor would achieve the standard. All of the errors were false alarms, in which the monitor observed attainment after a modeled prediction of an exceedance; in these cases, the states used weight-of-evidence determinations to argue that attainment was likely. Overall, PM2.5 concentrations at monitors in the SIP regions declined by 2.6 microg/m3 from 2000-2004 to 2007-2009, compared with 1.6 microg/m3 in eastern U.S. regions originally designated as attainment. Air quality improvements tended to be largest at monitors that were initially the most polluted. Implications: As states prepare to develop plans for attaining a more stringent standard for fine particulate matter, this retrospective analysis documents substantial and sustained air quality improvements achieved under the previous standard. Significantly larger air quality improvements in regions initially designated nonattainment of the 1997 standard indicate that this status prompted heightened control efforts: The speciated modeled attainment test is found to be accurate and slightly conservative in predicting particulate concentrations for the cases considered here, providing confidence for its use in upcoming attainment plans.
各州依赖光化学模型来预测空气质量达标策略的影响,但这些预测的性能很少被回溯性地评估。为了在 2009 年之前达到 1997 年美国细颗粒物(PM2.5;表示直径小于 2.5 微米的颗粒)标准而制定的州实施计划(SIP)首次提供了评估 PM2.5 减少量的模型预测在州一级的机会。SIP 是第一个依赖美国环境保护署推荐的特定模型达标测试方法来预测 PM2.5 浓度和达标状况的模型。在考虑的 23 个美国东部地区中,除一个地区外,所有地区都在 2009 年之前达到了 15 微克/立方米的标准,而另一个地区在次年达到了这一标准,随后几年的下降趋势持续。达标测试以平均偏差 0.38 微克/立方米和平均误差 0.68 微克/立方米的方式预测了各个监测站 2009 年的 PM2.5 设计值,并且在预测监测站是否达到标准方面准确率达到 95%。所有的错误都是误报,即在模型预测超标后,监测站观察到达标;在这些情况下,各州使用证据权重的确定来论证达标是有可能的。总的来说,与最初被指定为达标地区的美国东部地区相比,SIP 地区监测站的 PM2.5 浓度从 2000-2004 年到 2007-2009 年下降了 2.6 微克/立方米,而东部地区下降了 1.6 微克/立方米。空气质量的改善往往在最初污染最严重的监测站最大。意义:随着各州准备制定达到更严格的细颗粒物标准的计划,这项回溯性分析记录了在之前的标准下实现的实质性和持续的空气质量改善。在最初被指定为未达到 1997 年标准的地区,空气质量的显著改善表明,这种状况促使控制力度加大:对于这里考虑的情况,特定模型达标测试被发现能够准确且略微保守地预测颗粒物浓度,为其在即将到来的达标计划中的使用提供了信心。