CCPortal
DOI10.1029/2020JD032712
Evaluating Wildfire Smoke Transport Within a Coupled Fire-Atmosphere Model Using a High-Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front
Mallia D.V.; Kochanski A.K.; Kelly K.E.; Whitaker R.; Xing W.; Mitchell L.E.; Jacques A.; Farguell A.; Mandel J.; Gaillardon P.-E.; Becnel T.; Krueger S.K.
发表日期2020
ISSN2169897X
卷号125期号:20
英文摘要One of the primary challenges associated with evaluating smoke models is the availability of observations. The limited density of traditional air quality monitoring networks makes evaluating wildfire smoke transport challenging, particularly over regions where smoke plumes exhibit significant spatiotemporal variability. In this study, we analyzed smoke dispersion for the 2018 Pole Creek and Bald Mountain Fires, which were located in central Utah. Smoke simulations were generated using a coupled fire-atmosphere model, which simultaneously renders fire growth, fire emissions, plume rise, smoke dispersion, and fire-atmosphere interactions. Smoke simulations were evaluated using PM2.5 observations from publicly accessible fixed sites and a semicontinuously running mobile platform. Calibrated measurements of PM2.5 made by low-cost sensors from the Air Quality and yoU (AQ&U) network were within 10% of values reported at nearby air quality sites that used Federal Equivalent Methods. Furthermore, results from this study show that low-cost sensor networks and mobile measurements are useful for characterizing smoke plumes while also serving as an invaluable data set for evaluating smoke transport models. Finally, coupled fire-atmosphere model simulations were able to capture the spatiotemporal variability of wildfire smoke in complex terrain for an isolated smoke event caused by local fires. Results here suggest that resolving local drainage flow could be critical for simulating smoke transport in regions of significant topographic relief. © 2020. American Geophysical Union. All Rights Reserved.
英文关键词air quality; atmospheric modeling; low-cost air quality sensors; mobile measurements; mountain meteorology; wildfire smoke
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/185692
作者单位Department of Atmospheric Sciences, University of Utah, Salt Lake City, UT, United States; Department of Meteorology and Climate Science, San José State University, San Jose, CA, United States; Department of Chemical Engineering, University of Utah, Salt Lake City, UT, United States; School of Computing, University of Utah, United States; Scientific Computing and Imaging Institute, University of Utah, United States; Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, United States; Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, United States
推荐引用方式
GB/T 7714
Mallia D.V.,Kochanski A.K.,Kelly K.E.,et al. Evaluating Wildfire Smoke Transport Within a Coupled Fire-Atmosphere Model Using a High-Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front[J],2020,125(20).
APA Mallia D.V..,Kochanski A.K..,Kelly K.E..,Whitaker R..,Xing W..,...&Krueger S.K..(2020).Evaluating Wildfire Smoke Transport Within a Coupled Fire-Atmosphere Model Using a High-Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front.Journal of Geophysical Research: Atmospheres,125(20).
MLA Mallia D.V.,et al."Evaluating Wildfire Smoke Transport Within a Coupled Fire-Atmosphere Model Using a High-Density Observation Network for an Episodic Smoke Event Along Utah's Wasatch Front".Journal of Geophysical Research: Atmospheres 125.20(2020).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Mallia D.V.]的文章
[Kochanski A.K.]的文章
[Kelly K.E.]的文章
百度学术
百度学术中相似的文章
[Mallia D.V.]的文章
[Kochanski A.K.]的文章
[Kelly K.E.]的文章
必应学术
必应学术中相似的文章
[Mallia D.V.]的文章
[Kochanski A.K.]的文章
[Kelly K.E.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。