Satellite-based PM concentrations and their application to COPD in Cleveland, OH.
Satellite-based PM concentrations and their application to COPD in Cleveland, OH.
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DOI：
10.1038/jes.2013.52
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发表时间：
2013-11
影响因子：
4.5
通讯作者：
中科院分区：
文献类型：
--
作者：
提出了一种混合方法来估计暴露于细颗粒物（PM2.5）在给定的位置和时间。这种方法建立在基于卫星的气溶胶光学厚度（AOD），空气污染数据从稀疏分布的环境保护局（EPA）网站和当地的时空克里格，最佳插值技术。由于每日的空气质素观测数据覆盖全球，我们可以每日估计任何地点和时间的空气质素。这可以确保空气质量监测和管理以及流行病学研究所需的前所未有的空间覆盖范围。在本文中，我们开发了一个经验关系的2公里AOD和PM2.5数据从EPA网站。将这种关系外推到研究领域，导致克利夫兰大都会统计区（MSA）在2000年至2009年期间对PM2.5进行了230万次预测。我们开发了本地时空克里格法，使用预测的PM2.5计算给定位置和时间的暴露量。克利夫兰MSA在2000年至2009年期间以2.5 km的空间分辨率开发了PM2.5的每日估计值;多年和地理域所需的213万次预测中有170万次（约79.8%）是稳健的。在混合方法的流行病学应用中，针对时空滞后的PM2.5暴露情况检查了慢性阻塞性肺病急性加重（AECOPD）的入院情况。我们的分析表明，9天内PM2.5暴露量每增加一个单位，AECOPD的风险增加2.3%，距离滞后为0.05°（~5 km）。在汇总分析中，暴露组（暴露于PM2.5 >15.4 μg/m3）因AECOPD入院的可能性比参考组高54%。混合方法提供了更大的时空覆盖范围和可靠的表征环境浓度比传统的原位监测为基础的方法。因此，这种方法可以潜在地减少传统的空气污染流行病学研究中的暴露误分类错误。
A hybrid approach is proposed to estimate exposure to fine particulate matter (PM2.5) at a given location and time. This approach builds on satellite-based aerosol optical depth (AOD), air pollution data from sparsely distributed Environmental Protection Agency (EPA) sites and local time–space Kriging, an optimal interpolation technique. Given the daily global coverage of AOD data, we can develop daily estimate of air quality at any given location and time. This can assure unprecedented spatial coverage, needed for air quality surveillance and management and epidemiological studies. In this paper, we developed an empirical relationship between the 2 km AOD and PM2.5 data from EPA sites. Extrapolating this relationship to the study domain resulted in 2.3 million predictions of PM2.5 between 2000 and 2009 in Cleveland Metropolitan Statistical Area (MSA). We have developed local time–space Kriging to compute exposure at a given location and time using the predicted PM2.5. Daily estimates of PM2.5 were developed for Cleveland MSA between 2000 and 2009 at 2.5 km spatial resolution; 1.7 million (~79.8%) of 2.13 million predictions required for multiyear and geographic domain were robust. In the epidemiological application of the hybrid approach, admissions for an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) was examined with respect to time–space lagged PM2.5 exposure. Our analysis suggests that the risk of AECOPD increases 2.3% with a unit increase in PM2.5 exposure within 9 days and 0.05° (~5 km) distance lags. In the aggregated analysis, the exposed groups (who experienced exposure to PM2.5 >15.4 μg/m3) were 54% more likely to be admitted for AECOPD than the reference group. The hybrid approach offers greater spatiotemporal coverage and reliable characterization of ambient concentration than conventional in situ monitoring-based approaches. Thus, this approach can potentially reduce exposure misclassification errors in the conventional air pollution epidemiology studies.
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DOI：
10.1504/ijewm.2009.026886
发表时间：
2009-06-01
影响因子：
0.6
作者：
Kumar N;Foster AD
通讯作者：
Foster AD
影响因子：
5.2
作者：
Davidson, CI;Phalen, RF;Solomon, PA
通讯作者：
Solomon, PA
影响因子：
10
作者：
Aaron, Shawn D.;Donaldson, Gavin C.;Wedzicha, Jadwiga A.
通讯作者：
Wedzicha, Jadwiga A.
影响因子：
4.4
作者：
Choi, Yunsoo;Wang, Yuhang;Edgerton, Eric
通讯作者：
Edgerton, Eric
影响因子：
6.3
作者：
Huang, M.;Carmichael, G. R.;Zhang, Q.
通讯作者：
Zhang, Q.