Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United States.
Comparison of geostatistical interpolation and remote sensing techniques for estimating long-term exposure to ambient PM2.5 concentrations across the continental United States.
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DOI：
10.1289/ehp.1205006
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发表时间：
2012-12
影响因子：
10.4
通讯作者：
Jerrett M
中科院分区：
文献类型：
--
作者：
Lee SJ;Serre ML;van Donkelaar A;Martin RV;Burnett RT;Jerrett M
背景资料：为了更好地了解长期暴露于细颗粒物（PM2.5）对健康的不良影响，需要在精细的空间尺度上准确估计PM2.5的变化。遥感已成为估计PM2.5暴露的重要手段，但相对较少的研究将遥感估计值与基于监测数据的估计值进行比较。目的：评价和比较遥感和地统计插值的预测能力。研究方法：我们开发了一个时空地质统计克里格模型来预测美国大陆的PM2.5，并将预测结果与卫星检索的估计值进行了比较。结果如下：克里金法估计距离监测站约100公里的位置更准确，而遥感估计距离监测站> 100公里的位置更准确。基于这一发现，我们开发了一个混合地图，结合克里金和基于卫星的PM2.5估计。结论：我们发现，对于美国大陆的大多数人口稠密地区，地质统计插值比遥感更准确的估计。然而，这两种方法得出的估计数之间的差异相对较小。在拥有广泛监测网络的地区，插值法可能提供更准确的估计数，但在世界上许多没有这种监测的地区，遥感可以提供几乎同样有效的照射估计数。
Background: A better understanding of the adverse health effects of chronic exposure to fine particulate matter (PM2.5) requires accurate estimates of PM2.5 variation at fine spatial scales. Remote sensing has emerged as an important means of estimating PM2.5 exposures, but relatively few studies have compared remote-sensing estimates to those derived from monitor-based data. Objective: We evaluated and compared the predictive capabilities of remote sensing and geostatistical interpolation. Methods: We developed a space–time geostatistical kriging model to predict PM2.5 over the continental United States and compared resulting predictions to estimates derived from satellite retrievals. Results: The kriging estimate was more accurate for locations that were about 100 km from a monitoring station, whereas the remote sensing estimate was more accurate for locations that were > 100 km from a monitoring station. Based on this finding, we developed a hybrid map that combines the kriging and satellite-based PM2.5 estimates. Conclusions: We found that for most of the populated areas of the continental United States, geostatistical interpolation produced more accurate estimates than remote sensing. The differences between the estimates resulting from the two methods, however, were relatively small. In areas with extensive monitoring networks, the interpolation may provide more accurate estimates, but in the many areas of the world without such monitoring, remote sensing can provide useful exposure estimates that perform nearly as well.
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DOI：
10.1056/nejmsa0805646
发表时间：
2009-01-22
期刊：
The New England journal of medicine
影响因子：
--
作者：
Pope CA 3rd;Ezzati M;Dockery DW
通讯作者：
Dockery DW
影响因子：
37.8
作者：
Pope, CA;Burnett, RT;Godleski, JJ
通讯作者：
Godleski, JJ
影响因子：
5
作者：
Sampson, Paul D.;Szpiro, Adam A.;Kaufman, Joel D.
通讯作者：
Kaufman, Joel D.
影响因子：
11.4
作者：
Brauer, Michael;Amann, Markus;Burnett, Rick T.;Cohen, Aaron;Dentener, Frank;Ezzati, Majid;Henderson, Sarah B.;Krzyzanowski, Michal;Martin, Randall V.;Van Dingenen, Rita;van Donkelaar, Aaron;Thurston, George D.
通讯作者：
Thurston, George D.
DOI：
10.1007/s00477-009-0317-z
发表时间：
2010-02-01
影响因子：
4.2
作者：
Lee, Seung-Jae;Wentz, Elizabeth A.;Gober, Patricia
通讯作者：
Gober, Patricia