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菲律宾碧瑶市柴油高使用地区基于环境特征的颗粒物和一氧化碳多元回归模型

Particulate matter and carbon monoxide multiple regression models using environmental characteristics in a high diesel-use area of Baguio City, Philippines.

作者信息

Cassidy Brandon E, Alabanza-Akers Mary Anne, Akers Timothy A, Hall Daniel B, Ryan P Barry, Bayer Charlene W, Naeher Luke P

机构信息

The University of Georgia (UGA), College of Public Health, Department of Environmental Health Science, Athens, Georgia, GA 30602-2102, USA.

出版信息

Sci Total Environ. 2007 Aug 1;381(1-3):47-58. doi: 10.1016/j.scitotenv.2007.03.010. Epub 2007 May 3.

DOI:10.1016/j.scitotenv.2007.03.010
PMID:17481696
Abstract

In Baguio City, Philippines, a mountainous city of 252,386 people where 61% of motor vehicles use diesel fuel, ambient particulate matter <2.5 microm (PM(2.5)) and <10 microm (PM(10)) in aerodynamic diameter and carbon monoxide (CO) were measured at 30 street-level locations for 15 min apiece during the early morning (4:50-6:30 am), morning rush hour (6:30-9:10 am) and afternoon rush hour (3:40-5:40 pm) in December 2004. Environmental observations (e.g. traffic-related variables, building/roadway designs, wind speed and direction, etc.) at each location were noted during each monitoring event. Multiple regression models were formulated to determine which pollution sources and environmental factors significantly affect ground-level PM(2.5), PM(10) and CO concentrations. The models showed statistically significant relationships between traffic and early morning particulate air pollution [(PM(2.5)p=0.021) and PM(10) (p=0.048)], traffic and morning rush hour CO (p=0.048), traffic and afternoon rush hour CO (p=0.034) and wind and early morning CO (p=0.044). The mean early morning, street-level PM(2.5) (110+/-8 microg/m3; mean+/-1 standard error) was not significantly different (p-value>0.05) from either rush hour PM(2.5) concentration (morning=98+/-7 microg/m3; afternoon=107+/-5 microg/m3) due to nocturnal inversions in spite of a 100% increase in automotive density during rush hours. Early morning street-level CO (3.0+/-1.7 ppm) differed from morning rush hour (4.1+/-2.3 ppm) (p=0.039) and afternoon rush hour (4.5+/-2.2 ppm) (p=0.007). Additionally, PM(2.5), PM(10), CO, nitrogen dioxide (NO2) and select volatile organic compounds were continuously measured at a downtown, third-story monitoring station along a busy roadway for 11 days. Twenty-four-hour average ambient concentrations were: PM(2.5)=72.9+/-21 microg/m3; CO=2.61+/-0.6 ppm; NO2=27.7+/-1.6 ppb; benzene=8.4+/-1.4 microg/m3; ethylbenzene=4.6+/-2.0 microg/m3; p-xylene=4.4+/-1.9 microg/m3; m-xylene=10.2+/-4.4 microg/m3; o-xylene=7.5+/-3.2 microg/m3. The multiple regression models suggest that traffic and wind in Baguio City, Philippines significantly affect street-level pollution concentrations. Ambient PM(2.5) levels measured are above USEPA daily (65 microg/m3) and Filipino/USEPA annual standards (15 microg/m3) with concentrations of a magnitude rarely seen in most countries except in areas where local topography plays a significant role in air pollution entrapment. The elevated pollution concentrations present and the diesel-rich nature of motor vehicle emissions are important pertaining to human exposure and health information and as such warrant public health concern.

摘要

在菲律宾碧瑶市,这座山城有252,386人口,61%的机动车使用柴油燃料。2004年12月,在30个街道层面的地点分别于清晨(凌晨4:50 - 6:30)、早高峰时段(上午6:30 - 9:10)和晚高峰时段(下午3:40 - 5:40)测量了空气动力学直径小于2.5微米(PM(2.5))、小于10微米(PM(10))的环境颗粒物以及一氧化碳(CO),每次测量15分钟。在每次监测活动期间,记录了每个地点的环境观测数据(如与交通相关的变量、建筑物/道路设计、风速和风向等)。构建了多元回归模型以确定哪些污染源和环境因素对地面PM(2.5)、PM(10)和CO浓度有显著影响。模型显示交通与清晨颗粒物空气污染[PM(2.5)(p = 0.021)和PM(10)(p = 0.048)]、交通与早高峰时段CO(p = 0.048)、交通与晚高峰时段CO(p = 0.034)以及风与清晨CO(p = 0.044)之间存在统计学上的显著关系。尽管高峰时段汽车密度增加了100%,但由于夜间逆温,清晨街道层面的PM(2.5)平均值(110±8微克/立方米;平均值±1标准误差)与两个高峰时段的PM(2.5)浓度[早高峰 = 98±7微克/立方米;晚高峰 = 107±5微克/立方米]相比无显著差异(p值>0.05)。清晨街道层面的CO(3.0±1.7 ppm)与早高峰时段(4.1±2.3 ppm)(p = 0.039)和晚高峰时段(4.5±2.2 ppm)(p = 0.007)不同。此外,在一条繁忙道路沿线的市中心三层监测站连续11天测量了PM(2.5)、PM(10)、CO、二氧化氮(NO2)和选定的挥发性有机化合物。24小时平均环境浓度为:PM(2.5)=72.9±21微克/立方米;CO = 2.61±0.6 ppm;NO2 = 27.7±1.6 ppb;苯 = 8.4±1.4微克/立方米;乙苯 = 4.6±2.0微克/立方米;对二甲苯 = 4.4±1.9微克/立方米;间二甲苯 = 10.2±4.4微克/立方米;邻二甲苯 = 7.5±3.2微克/立方米。多元回归模型表明,菲律宾碧瑶市的交通和风对街道层面的污染浓度有显著影响。所测环境PM(2.5)水平高于美国环境保护局的每日标准(65微克/立方米)和菲律宾/美国环境保护局的年度标准(15微克/立方米),其浓度在大多数国家很少见,除非当地地形在空气污染截留中起重要作用的地区。当前较高的污染浓度以及机动车排放富含柴油的特性对于人类暴露和健康信息很重要,因此值得引起公众健康关注。

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