气候变化领域集成服务门户(CCPortal): Improving spatial surrogates for area source emissions inventories in California

CCPortal

DOI	10.1016/j.atmosenv.2020.117665
	Improving spatial surrogates for area source emissions inventories in California
	Li Y.; Rodier C.; Lea J.D.; Harvey J.; Kleeman M.J.
发表日期	2021
ISSN	1352-2310
卷号	247
英文摘要	Ten spatial surrogates describing the detailed locations of air pollution emissions in regional air quality assessments for California were updated/created for the base year 2010 and future years from 2015 to 2040: (i) total population, (ii) total housing, (iii) single-family housing, (iv) total employment, (v) service & commercial employment, (vi) industrial employment, (vii) agricultural employment, (viii) industrial-related surrogate, (ix) off-road construction, and (x) on-road construction surrogates. The first seven surrogates were updated using the latest version of census-based datasets at finer resolution. New industrial-related, off/on-road construction surrogates were developed using realistic datasets to more accurately describe the location of construction projects and industrial facilities. Adoption of the new spatial surrogates caused changes to the spatial distribution of air pollution emissions in air quality calculations. The changes to the off-road construction surrogate resulted in the largest shift in PM emissions distribution for year 2015, followed by changes to the on-road construction surrogate. Industrial-related, service & commercial employment, and off-road construction surrogates all contributed to changes in NOx emissions. The changes to SED-derived surrogates were subtle and did not significantly influence emissions. Air quality simulations were carried out over the entire year 2016 to examine the impact of the new surrogate methodologies on simulated concentration fields. Changes to predicted pollutant concentrations followed the same pattern as changes in emissions, which indicates that proximity to sources is a dominant factor to determine the impact of spatial surrogates on model performance. The updated spatial surrogates generally improved predicted PM mass and EC concentrations in the Sacramento area (~10% for PM, ~3% for EC), the Bay Area (~3% for PM, ~1.5% for EC), and the region surrounding Los Angeles (~5% for PM, ~4% for EC). The updated spatial surrogates also improved predicted NOx concentrations in the core region of Los Angeles (~6%). These improvements demonstrate that development and adoption of new methodologies for emissions spatial surrogates can improve the accuracy of regional chemical transport models for criteria air pollutants. © 2020 Elsevier Ltd
英文关键词	Agricultural robots; Air quality; Atmospheric movements; Employment; Housing; Nitrogen oxides; Road construction; Roads and streets; Air quality simulation; Concentration fields; Construction projects; Criteria air pollutants; Industrial employment; Industrial facilities; Pollutant concentration; Regional chemical transport model; Industrial emissions; adoption; air pollutant; air quality; article; calculation; California; employment; industry; simulation
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169008
作者单位	Department of Land, Air, and Water Resources, University of California, Davis, United States; Institute of Transportation Studies, University of California, Davis, United States; Department of Civil and Environmental Engineering, University of California, Davis, United States
推荐引用方式 GB/T 7714	Li Y.,Rodier C.,Lea J.D.,et al. Improving spatial surrogates for area source emissions inventories in California[J],2021,247.
APA	Li Y.,Rodier C.,Lea J.D.,Harvey J.,&Kleeman M.J..(2021).Improving spatial surrogates for area source emissions inventories in California.Atmospheric Environment,247.
MLA	Li Y.,et al."Improving spatial surrogates for area source emissions inventories in California".Atmospheric Environment 247(2021).