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建立一个统计模型,用以识别内华达州 O3 升高的空间和气象驱动因素,并将其应用于其他农村山区。

Development of a statistical model to identify spatial and meteorological drivers of elevated O3 in Nevada and its application to other rural mountainous regions.

机构信息

Department of Natural Resources and Environmental Science, University of Nevada-Reno, Reno, NV, USA.

Department of Natural Resources and Environmental Science, University of Nevada-Reno, Reno, NV, USA.

出版信息

Sci Total Environ. 2015 Oct 15;530-531:526-533. doi: 10.1016/j.scitotenv.2015.03.148. Epub 2015 Apr 18.

DOI:10.1016/j.scitotenv.2015.03.148
PMID:25895623
Abstract

Measurements of O3 at relatively remote monitoring sites are useful for quantifying baseline O3, and subsequently the magnitude of O3 not controllable by local regulations. As the National Ambient Air Quality Standard (NAAQS) for O3 becomes more stringent, there is an increased need to quantify baseline O3 particularly in the Western US, where regional and global sources can significantly enhance O3 measured at surface sites, yielding baseline mixing ratios approaching or exceeding the NAAQS threshold. Past work has indicated that meteorological conditions as well as site specific spatial characteristics (e.g. elevation, basin size, gradient) are significantly correlated with O3 intercepted at rural monitoring sites. Here, we use 3 years of measurements from sites throughout rural Nevada to develop a categorical tree model to identify spatial and meteorological characteristics that are associated with elevated baseline O3. Data from other sites in the Intermountain Western US are used to test the applicability of the model for sites throughout the region. Our analyses indicate that increased elevation and basin size were associated with increased frequency of elevated O3. On a daily time scale, relative humidity had the strongest association with observed MDA8 O3. Seventy-four percent of MDA8 O3 observations>60 ppbv occurred when daily minimum relative humidity was <15%. Further, we found that including ancillary pollutant data did not improve the predictive accuracy for measurements >60 ppbv whereas including upper air meteorological measurements improved the accuracy of predicting periods when O3 was >60 ppbv. These findings indicate that transport, rather than local production, influences O3 measurements in Nevada, and that high elevation sites in rural Nevada, are representative of baseline conditions in the Intermountain Western US.

摘要

在相对偏远的监测站点测量 O3 有助于量化背景 O3,进而量化无法通过地方法规控制的 O3 量。随着 O3 的国家环境空气质量标准 (NAAQS) 变得更加严格,需要量化背景 O3 的需求不断增加,特别是在美国西部,区域和全球来源可以显著增加地表站点测量的 O3,导致背景混合比接近或超过 NAAQS 阈值。过去的工作表明,气象条件以及特定于站点的空间特征(例如海拔、盆地大小、梯度)与在农村监测站点拦截的 O3 显著相关。在这里,我们使用来自内华达州农村各地的 3 年测量数据,开发了一个分类树模型,以确定与背景 O3 升高相关的空间和气象特征。来自美国西部山间地区其他站点的数据用于测试该模型在该地区所有站点的适用性。我们的分析表明,海拔升高和盆地面积增大与 O3 升高的频率增加有关。在每日时间尺度上,相对湿度与观测到的 MDA8 O3 具有最强的关联。当每日最小相对湿度<15%时,74%的 MDA8 O3 观测值>60 ppbv。此外,我们发现,包括辅助污染物数据并不能提高对>60 ppbv 测量值的预测准确性,而包括高空气象测量数据则可以提高对>60 ppbv 时 O3 的预测准确性。这些发现表明,传输而不是本地生产,影响了内华达州的 O3 测量值,并且内华达州农村的高海拔站点代表了美国西部山间地区的背景条件。

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