利用暴露分类项目在洛杉矶测量的微环境臭氧、一氧化碳和颗粒物(PM2.5)浓度对APEX进行多污染物评价。

Q2 Environmental Science Cogent Environmental Science Pub Date : 2018-01-01 Epub Date: 2018-03-19 DOI:10.1080/23311843.2018.1453022
Ted R Johnson, John E Langstaff, Stephen Graham, Eric M Fujita, David E Campbell
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引用次数: 5

摘要

本文描述了美国环境保护署(EPA)空气污染暴露模型(APEX)的运行评估。APEX模拟了多污染物环境空气混合物,即臭氧(O3)、一氧化碳(CO)和直径小于或等于2.5微米的颗粒物(PM2.5),在洛杉矶中部的三个研究区域进行了两个季节的模拟。将APEX预测的微环境浓度与同一时期暴露分类项目(ECP)研究中监测的这三种污染物的浓度进行了比较。ECP专为评估暴露模型和测量40个微环境内外的浓度而设计。该评估研究确定了APEX输入和模型预测中的重要不确定性,有助于指导进一步暴露模型输入数据和算法开发工作。本文还对不同微环境下的浓度进行了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A multipollutant evaluation of APEX using microenvironmental ozone, carbon monoxide, and particulate matter (PM2.5) concentrations measured in Los Angeles by the exposure classification project.

This paper describes an operational evaluation of the US Environmental Protection Agency's (EPA) Air Pollution Exposure Model (APEX). APEX simulations for a multipollutant ambient air mixture, i.e. ozone (O3), carbon monoxide (CO), and particulate matter 2.5 microns in diameter or less (PM2.5), were performed for two seasons in three study areas in central Los Angeles. APEX predicted microenvironmental concentrations were compared with concentrations of these three pollutants monitored in the Exposure Classification Project (ECP) study during the same periods. The ECP was designed expressly for evaluating exposure models and measured concentrations inside and outside 40 microenvironments. This evaluation study identifies important uncertainties in APEX inputs and model predictions useful for guiding further exposure model input data and algorithm development efforts. This paper also presents summaries of the concentrations in the different microenvironments.

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来源期刊
Cogent Environmental Science
Cogent Environmental Science ENVIRONMENTAL SCIENCES-
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