The Influence of Wildfire Smoke on Ambient PM 2.5 Chemical Species Concentrations in the Contiguous US

烟雾 环境科学 环境化学 气象学 地理 化学
作者
Emma Krasovich,Minghao Qiu,Carlos Francisco Gould,Ayako Kawano,Jeff Wen,Sam Heft‐Neal,Kara K. Voss,Alandra Marie Lopez,Scott E. Fendorf,Jennifer Anne Burney,Marshall Burke
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:59 (6): 2961-2973 被引量:24
标识
DOI:10.1021/acs.est.4c09011
摘要

Wildfires are a significant contributor to ambient air pollution and pose a growing public health threat in many parts of the world. Increased wildfire activity over the past few decades has exacerbated smoke exposure across the US, yet our understanding of how wildfire influences specific chemicals and their resulting concentration in smoke remains incomplete. We combine 15 years of daily measures of species-specific PM2.5 concentrations from 700 air pollution monitors with satellite-derived estimates of ambient wildfire smoke PM2.5, and use panel regression to estimate the contribution of wildfire smoke to the concentrations of 27 different chemical species in PM2.5. We find that wildfire smoke drives detectable increases in the concentration of 25 of the 27 species, with the largest increases observed for chemicals previously associated with biomass burning: organic carbon, elemental carbon, and potassium. We find that smoke originating from wildfires that burned structures had higher concentrations of copper, lead, zinc and nickel relative to smoke from fires that did not burn structures. Wildfire smoke is responsible for an increasing share of ambient species concentrations for multiple species, especially in the Western US. Using existing estimated relationships between ambient chemical exposure and cancer risk, we find that wildfire enhancement of carcinogenic species concentrations could be enough to cause small increases in cancer risk, but these increases are very small relative to other risk factors. Our results demonstrate that fixed ground monitors in combination with satellite-derived data can be used to understand how wildfire smoke influences chemical concentrations at large scales and measure population-level exposures.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wt完成签到,获得积分10
刚刚
颖中竹子完成签到,获得积分10
1秒前
清脆的秋寒完成签到,获得积分10
1秒前
Sun1c7完成签到 ,获得积分10
2秒前
2秒前
小二郎的应助被开心德地采纳,获得10
2秒前
科研通AI6.4的应助被开心德地采纳,获得10
2秒前
斯文败类的应助被开心德地采纳,获得20
2秒前
科研通AI6.4的应助被开心德地采纳,获得10
3秒前
木木 12完成签到,获得积分10
3秒前
科研通AI6.4的应助被开心德地采纳,获得10
3秒前
科研通AI6.4的应助被开心德地采纳,获得10
3秒前
科研通AI6.2的应助被开心德地采纳,获得10
3秒前
咿呀咿呀哟的应助被开心德地采纳,获得20
3秒前
D1完成签到 ,获得积分10
8秒前
Tasia完成签到 ,获得积分10
9秒前
地兮完成签到 ,获得积分10
11秒前
link完成签到 ,获得积分10
12秒前
森林木完成签到,获得积分10
13秒前
LSQ47完成签到,获得积分10
14秒前
yiming完成签到,获得积分10
14秒前
勤劳的冰淇淋完成签到 ,获得积分10
14秒前
雨洋完成签到,获得积分10
14秒前
和谐的sui完成签到,获得积分10
14秒前
lhl完成签到,获得积分10
14秒前
15秒前
clxgene完成签到,获得积分10
16秒前
dui完成签到,获得积分10
16秒前
17秒前
zyw完成签到,获得积分10
17秒前
XY完成签到 ,获得积分10
18秒前
lpp发布了新的文献求助10
20秒前
Jun完成签到,获得积分10
20秒前
神勇映安完成签到,获得积分10
21秒前
wxlganenshifu完成签到 ,获得积分10
21秒前
william66w完成签到 ,获得积分10
21秒前
歪歪歪歪歪完成签到 ,获得积分10
22秒前
planA完成签到 ,获得积分10
22秒前
知性的平卉完成签到 ,获得积分10
24秒前
lm完成签到 ,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8115654
求助须知:如何正确求助?哪些是违规求助? 9521517
关于积分的说明 21533873
捐赠科研通 7693822
什么是DOI,文献DOI怎么找? 3413595
关于科研通互助平台的介绍 2539935
邀请新用户注册赠送积分活动 2453622