Positive matrix factorization of a 32-month series of daily PM2.5 speciation data with incorporation of temperature stratification [0.03%]
基于温度层结的PM2.5组分日数据32个月正矩阵分解
Mingjie Xie,Ricardo Piedrahita,Steven J Dutton et al.
Mingjie Xie et al.
This study presents source apportionment results for PM2.5 from applying positive matrix factorization (PMF) to a 32-month series of daily PM2.5 compositional data from Denver, CO, including concentrations of sulfate, nitrate, bulk elementa...
Intra-urban spatial variability and uncertainty assessment of PM2.5 sources based on carbonaceous species [0.03%]
基于碳组分的PM₂.₅源解析空间差异性及不确定性分析
Mingjie Xie,Teresa L Coons,Joshua G Hemann et al.
Mingjie Xie et al.
To identify the sources of PM2.5 - bound carbonaceous species and examine the spatial variability of source contributions in the Denver metropolitan area, positive matrix factorization (PMF) was applied to one year of every sixth day ambien...
Spatial Resolution Requirements for Traffic-Related Air Pollutant Exposure Evaluations [0.03%]
交通相关大气污染物暴露评估所需的空间分辨率要求
Stuart Batterman,Sarah Chambliss,Vlad Isakov
Stuart Batterman
Vehicle emissions represent one of the most important air pollution sources in most urban areas, and elevated concentrations of pollutants found near major roads have been associated with many adverse health impacts. To understand these imp...
Aromatic organosulfates in atmospheric aerosols: synthesis, characterization, and abundance [0.03%]
大气气溶胶中的芳香族有机硫酸酯：合成、表征及丰度
Sean Staudt,Shuvashish Kundu,Hans-Joachim Lehmler et al.
Sean Staudt et al.
Aromatic organosulfates are identified and quantified in fine particulate matter (PM2.5) from Lahore, Pakistan, Godavari, Nepal, and Pasadena, California. To support detection and quantification, authentic standards of phenyl sulfate, benzy...
Spatiotemporal Distribution of Airborne Particulate Metals and Metalloids in a Populated Arid Region [0.03%]
人口密集的干旱地区空气中颗粒物中金属和类金属的时空分布规律
Gouri Prabhakar,Armin Sorooshian,Emily Toffol et al.
Gouri Prabhakar et al.
A statistical analysis of data from the Interagency Monitoring of Protected Visual Environments (IMPROVE) network of aerosol samplers has been used to study the spatial and temporal concentration trends in airborne particulate metals and me...
A Statistical Modeling Framework for Projecting Future Ambient Ozone and its Health Impact due to Climate Change [0.03%]
一种统计模型框架：用于预测气候变化下的未来臭氧浓度及其对健康的影响
Howard H Chang,Hua Hao,Stefanie Ebelt Sarnat
Howard H Chang
The adverse health effects of ambient ozone are well established. Given the high sensitivity of ambient ozone concentrations to meteorological conditions, the impacts of future climate change on ozone concentrations and its associated healt...
George D Thurston,Kazuhiko Ito,Ramona Lall
George D Thurston
Using daily fine particulate matter (PM2.5) composition data from the 2000-2005 U.S. EPA Chemical Speciation Network (CSN) for over 200 sites, we applied multivariate methods to identify and quantify the major fine particulate matter (PM2.5...
Spatial Variation in Particulate Matter Components over a Large Urban Area [0.03%]
大型城市地区颗粒物成分的空间分布变异
Scott Fruin,Robert Urman,Fred Lurmann et al.
Scott Fruin et al.
To characterize exposures to particulate matter (PM) and its components, we performed a large sampling study of small-scale spatial variation in size-resolved particle mass and composition. PM was collected in size ranges of < 0.2, 0.2-to-2...
Ultrafine particle size distributions near freeways: Effects of differing wind directions on exposure [0.03%]
高速公路附近的超细颗粒物粒径分布：不同风向对暴露的影响
Kathleen H Kozawa,Arthur M Winer,Scott A Fruin
Kathleen H Kozawa
High ambient ultrafine particle (UFP) concentrations may play an important role in the adverse health effects associated with living near busy roadways. However, UFP size distributions change rapidly as vehicle emissions dilute and age. The...
Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions [0.03%]
利用正态分布混合模型处理污染物和暴露数据中的极值和缺失值问题
Shi Li,Stuart Batterman,Feng-Chiao Su et al.
Shi Li et al.
Background: Volatile organic compounds (VOC), which include many hazardous chemicals, have been used extensively in personal, commercial and industrial products. Due to the variation in source emissions, differences in th...