Stewart Devoun R, Saunders Emily, Perea Roberto A, Fitzgerald Rosa, Campbell David E, Stockwell William R
Department of Chemistry and Biochemistry, University of San Diego, San Diego, CA, USA.
Department of Chemistry, Howard University, Washington, DC, USA.
Environ Health Insights. 2017 Nov 13;11:1178630217737551. doi: 10.1177/1178630217737551. eCollection 2017.
Proposed emission control strategies for reducing ozone and particulate matter are evaluated better when air quality and health effects models are used together. The Community Multiscale Air Quality (CMAQ) model is the US Environmental Protection Agency's model for determining public policy and forecasting air quality. CMAQ was used to forecast air quality changes due to several emission control strategies that could be implemented between 2008 and 2030 for the South Coast Air Basin that includes Los Angeles. The Environmental Benefits Mapping and Analysis Program-Community Edition (BenMAP-CE) was used to estimate health and economic impacts of the different emission control strategies based on CMAQ simulations. BenMAP-CE is a computer program based on epidemiologic studies that link human health and air quality. This modeling approach is better for determining optimum public policy than approaches that only examine concentration changes.
当空气质量模型和健康影响模型一起使用时,对减少臭氧和颗粒物的拟议排放控制策略能得到更好的评估。社区多尺度空气质量(CMAQ)模型是美国环境保护局用于确定公共政策和预测空气质量的模型。CMAQ被用于预测2008年至2030年期间,针对包括洛杉矶在内的南海岸空气流域实施的几种排放控制策略所导致的空气质量变化。环境效益映射与分析项目社区版(BenMAP-CE)被用于根据CMAQ模拟结果,估算不同排放控制策略对健康和经济的影响。BenMAP-CE是一个基于将人类健康与空气质量联系起来的流行病学研究的计算机程序。与仅考察浓度变化的方法相比,这种建模方法更有利于确定最佳公共政策。