气候变化领域集成服务门户(CCPortal): Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States

CCPortal

DOI	10.3389/feart.2024.1320170
	Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States
	Wilson, Bradley; Pope, Mariah; Melecio-Vazquez, David; Hsieh, Ho; Alfaro, Maximilian; Shu, Evelyn; Porter, Jeremy; Kearns, Edward J.
发表日期	2024
EISSN	2296-6463
起始页码	12
卷号	12
英文摘要	Unhealthy air quality conditions can strongly affect long-term human health and wellbeing, yet many air quality data products focus on near real-time alerts or short-term forecasts. Understanding the full state of air quality also requires examining the longer term frequency and intensity of poor air quality at ground level, and how it might change over time. We present a new modeling framework to compute climate-adjusted estimates of air quality hazards for the contiguous United States (CONUS) at 10 km horizontal resolution. The framework blends results from statistical, machine-learning, and climate-chemistry models-including a bias-adjusted version of the EPA Community Multiscale Air Quality Model (CMAQ) time series as described in (Wilson et al., 2022)-for ground-level ozone, anthropogenic fine particulate matter (PM2.5), and wildfire smoke PM2.5 into consistent estimates of days exceeding the unhealthy for sensitive groups (orange colored) classification on the EPA Air Quality Index for 2023 and 2053. We find that joint PM2.5 and ozone orange+ days range from 1 day to 41 days across CONUS, with a median value of 2 days, across all years. Considering all properties across CONUS, we find that 63.5% percent are exposed to at least one orange or greater day in 2023, growing to 72.1% in 2053. For a 7-day threshold, 3.8% and 5.7% of properties are exposed in 2023 and 2053, respectively. Our results also support the identification of which parts of the country are most likely to be impacted by additional climate-related air quality risks. With growing evidence that even low levels of air pollution are harmful, these results are an important step forward in empowering individuals to understand their air quality risks both now and into the future.
英文关键词	air quality; particulate matter; ozone; wildfire smoke; climate change
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001188104200001
来源期刊	FRONTIERS IN EARTH SCIENCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302110
推荐引用方式 GB/T 7714	Wilson, Bradley,Pope, Mariah,Melecio-Vazquez, David,et al. Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States[J],2024,12.
APA	Wilson, Bradley.,Pope, Mariah.,Melecio-Vazquez, David.,Hsieh, Ho.,Alfaro, Maximilian.,...&Kearns, Edward J..(2024).Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States.FRONTIERS IN EARTH SCIENCE,12.
MLA	Wilson, Bradley,et al."Climate adjusted projections of the distribution and frequency of poor air quality days for the contiguous United States".FRONTIERS IN EARTH SCIENCE 12(2024).