GIS approaches for the estimation of residential-level ambient PM concentrations.
GIS approaches for the estimation of residential-level ambient PM concentrations.
复制标题
DOI：
10.1289/ehp.9169
复制
发表时间：
2006-09
影响因子：
10.4
通讯作者：
Heiss G
中科院分区：
文献类型：
--
作者：
Liao D;Peuquet DJ;Duan Y;Whitsel EA;Dou J;Smith RL;Lin HM;Chen JC;Heiss G
在流行病学研究中，空间估计越来越多地被用来估计地理编码的环境颗粒物(PM)浓度，因为在美国的大多数地点，无法测量每天的PM浓度。这项研究的目的是：a)评估大规模克立格估计每日住宅水平环境PM浓度的可行性；b)执行并比较不同克立格模型的交叉验证；c)比较三种流行的克立格方法；d)计算克立格估计的SE。我们使用了2000年美国环境保护局提供的空气动力学直径≤10μm(PM10)和空气动力学直径≤2.5μm(PM2.5)的PM数据。使用ArcView地理信息系统对94,135个妇女健康倡议研究参与者的地理编码地址进行了克里格法估计。我们开发了一个半自动程序来实现大规模的每日克立格估计，并使用估计的PM的预测误差(PE)、标准化预测误差(SPE)、均方根标准化(RMSS)和SE来评估半方差函数模型的有效性全国性和地区性的克里格法表现令人满意，前者略好一些。利用常规克立格法和球状模型计算的日PM10半方差图的平均PE、SPE和RMS分别为0.0629、−0.0011和1.255μg/m~3，估计的居住水平PM_(10)的平均SE为27.36μg/m~3。PM2.5值分别为0.049、0.0085、1.389和4.13μg/m~3。与常规普通克立格法相比，对数正态普通克立格法产生的平均SE较小，并有效地消除了超出范围的预测值。半自动每日克立格估计和半方差函数交叉验证在全国范围内是可行的。采用球面模型的对数正态普通克立格法可以有效地估计地理编码住宅区的日环境PM。
Spatial estimations are increasingly used to estimate geocoded ambient particulate matter (PM) concentrations in epidemiologic studies because measures of daily PM concentrations are unavailable in most U.S. locations. This study was conducted to a) assess the feasibility of large-scale kriging estimations of daily residential-level ambient PM concentrations, b) perform and compare cross-validations of different kriging models, c) contrast three popular kriging approaches, and d ) calculate SE of the kriging estimations. We used PM data for PM with aerodynamic diameter ≤10 μm (PM10) and aerodynamic diameter ≤ 2.5 μm (PM2.5) from the U.S. Environmental Protection Agency for the year 2000. Kriging estimations were performed at 94,135 geocoded addresses of Women’s Health Initiative study participants using the ArcView geographic information system. We developed a semiautomated program to enable large-scale daily kriging estimation and assessed validity of semivariogram models using prediction error (PE), standardized prediction error (SPE), root mean square standardized (RMSS), and SE of the estimated PM. National- and regional-scale kriging performed satisfactorily, with the former slightly better. The average PE, SPE, and RMSS of daily PM10 semivariograms using regular ordinary kriging with a spherical model were 0.0629, −0.0011, and 1.255 μg/m3, respectively; the average SE of the estimated residential-level PM10 was 27.36 μg/m3. The values for PM2.5 were 0.049, 0.0085, 1.389, and 4.13 μg/m3, respectively. Lognormal ordinary kriging yielded a smaller average SE and effectively eliminated out-of-range predicted values compared to regular ordinary kriging. Semiautomated daily kriging estimations and semivariogram cross-validations are feasible on a national scale. Lognormal ordinary kriging with a spherical model is valid for estimating daily ambient PM at geocoded residential addresses.
登录
查看更多内容
影响因子：
37.8
作者：
Pope, CA;Burnett, RT;Godleski, JJ
通讯作者：
Godleski, JJ
DOI：
10.1038/sj.jea.7500408
发表时间：
2005-07-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Liao, DP;Heiss, G;Salomaa, V
通讯作者：
Salomaa, V
影响因子：
5
作者：
Liao, DP;Duan, YK;Lin, HM
通讯作者：
Lin, HM
DOI：
10.1080/00039896.1991.9934388
发表时间：
1991-09-01
期刊：
ARCHIVES OF ENVIRONMENTAL HEALTH
影响因子：
--
作者：
ABBEY, DE;MOORE, J;BEESON, L
通讯作者：
BEESON, L
影响因子：
4.4
作者：
Jian, XD;Olea, RA;Yu, YS
通讯作者：
Yu, YS