Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes

Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Atmospheric chemistry and physics 2023-03, Vol.23 (5), p.3083
Hauptverfasser: Li, Yunyao, Tong, Daniel, Ma, Siqi, Freitas, Saulo R, Ahmadov, Ravan, Sofiev, Mikhail, Zhang, Xiaoyang, Kondragunta, Shobha, Kahn, Ralph, Tang, Youhua, Baker, Barry, Campbell, Patrick, Saylor, Rick, Grell, Georg, Li, Fangjun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 5
container_start_page 3083
container_title Atmospheric chemistry and physics
container_volume 23
creator Li, Yunyao
Tong, Daniel
Ma, Siqi
Freitas, Saulo R
Ahmadov, Ravan
Sofiev, Mikhail
Zhang, Xiaoyang
Kondragunta, Shobha
Kahn, Ralph
Tang, Youhua
Baker, Barry
Campbell, Patrick
Saylor, Rick
Grell, Georg
Li, Fangjun
description Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM.sub.2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM.sub.2.5 concentrations near the source region but higher AOD and PM.sub.2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %-30 % near the source regions and 5 %-10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM.sub.2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (35 µg m.sup.-3) predictions. Higher plume heights generally produce larger downwind PM.sub.2.5 exceedance areas. The PM.sub.2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM.sub.2.5 concentration and predicted PM.sub.2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM.sub.2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire event
format Article
fullrecord <record><control><sourceid>gale</sourceid><recordid>TN_cdi_gale_infotracmisc_A740267686</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A740267686</galeid><sourcerecordid>A740267686</sourcerecordid><originalsourceid>FETCH-LOGICAL-g1016-13bb5d4ea73a863099d3530e86166061dda73ab0da53e43b98d1981aab924e773</originalsourceid><addsrcrecordid>eNptkEtLxDAUhbNQcKz-h4ArFy1J06atu2HwMTCi-FgPaXLbifRFbqpu_ecT0YUDchcX7vnOOXCPyILLksWF4PKEnCK-MZbmjGcL8rXuJ6U90rGhgN72yoOhUzf3QJ1FoONAH-8TnOskTXIKnxrAqEEDnRwYq70NgJmdHdogegfB92E701gHFN5h8HhFFdVjqAl5AQ5FfucAKOpdoPGMHDeqQzj_3RF5vbl-Wd3Fm4fb9Wq5iVvOuIy5qOvcZKAKoUopWFUZkQsGpeRSMsmN-VZqZlQuIBN1VRpelVypukozKAoRkYuf3FZ1sLVDM3qndG9Rb5dFxlJZyJAbkeQfKoyB3upxgMaG-4Hh8sAQGB8e0aoZcbt-fvrL7gHF0HiQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Li, Yunyao ; Tong, Daniel ; Ma, Siqi ; Freitas, Saulo R ; Ahmadov, Ravan ; Sofiev, Mikhail ; Zhang, Xiaoyang ; Kondragunta, Shobha ; Kahn, Ralph ; Tang, Youhua ; Baker, Barry ; Campbell, Patrick ; Saylor, Rick ; Grell, Georg ; Li, Fangjun</creator><creatorcontrib>Li, Yunyao ; Tong, Daniel ; Ma, Siqi ; Freitas, Saulo R ; Ahmadov, Ravan ; Sofiev, Mikhail ; Zhang, Xiaoyang ; Kondragunta, Shobha ; Kahn, Ralph ; Tang, Youhua ; Baker, Barry ; Campbell, Patrick ; Saylor, Rick ; Grell, Georg ; Li, Fangjun</creatorcontrib><description>Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM.sub.2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM.sub.2.5 concentrations near the source region but higher AOD and PM.sub.2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %-30 % near the source regions and 5 %-10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM.sub.2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (35 µg m.sup.-3) predictions. Higher plume heights generally produce larger downwind PM.sub.2.5 exceedance areas. The PM.sub.2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM.sub.2.5 concentration and predicted PM.sub.2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM.sub.2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire events.</description><identifier>ISSN: 1680-7316</identifier><language>eng</language><publisher>Copernicus GmbH</publisher><subject>Air pollution ; Air quality ; Comparative analysis ; Remote sensing ; Wildfires</subject><ispartof>Atmospheric chemistry and physics, 2023-03, Vol.23 (5), p.3083</ispartof><rights>COPYRIGHT 2023 Copernicus GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Li, Yunyao</creatorcontrib><creatorcontrib>Tong, Daniel</creatorcontrib><creatorcontrib>Ma, Siqi</creatorcontrib><creatorcontrib>Freitas, Saulo R</creatorcontrib><creatorcontrib>Ahmadov, Ravan</creatorcontrib><creatorcontrib>Sofiev, Mikhail</creatorcontrib><creatorcontrib>Zhang, Xiaoyang</creatorcontrib><creatorcontrib>Kondragunta, Shobha</creatorcontrib><creatorcontrib>Kahn, Ralph</creatorcontrib><creatorcontrib>Tang, Youhua</creatorcontrib><creatorcontrib>Baker, Barry</creatorcontrib><creatorcontrib>Campbell, Patrick</creatorcontrib><creatorcontrib>Saylor, Rick</creatorcontrib><creatorcontrib>Grell, Georg</creatorcontrib><creatorcontrib>Li, Fangjun</creatorcontrib><title>Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes</title><title>Atmospheric chemistry and physics</title><description>Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM.sub.2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM.sub.2.5 concentrations near the source region but higher AOD and PM.sub.2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %-30 % near the source regions and 5 %-10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM.sub.2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (35 µg m.sup.-3) predictions. Higher plume heights generally produce larger downwind PM.sub.2.5 exceedance areas. The PM.sub.2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM.sub.2.5 concentration and predicted PM.sub.2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM.sub.2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire events.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Comparative analysis</subject><subject>Remote sensing</subject><subject>Wildfires</subject><issn>1680-7316</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNptkEtLxDAUhbNQcKz-h4ArFy1J06atu2HwMTCi-FgPaXLbifRFbqpu_ecT0YUDchcX7vnOOXCPyILLksWF4PKEnCK-MZbmjGcL8rXuJ6U90rGhgN72yoOhUzf3QJ1FoONAH-8TnOskTXIKnxrAqEEDnRwYq70NgJmdHdogegfB92E701gHFN5h8HhFFdVjqAl5AQ5FfucAKOpdoPGMHDeqQzj_3RF5vbl-Wd3Fm4fb9Wq5iVvOuIy5qOvcZKAKoUopWFUZkQsGpeRSMsmN-VZqZlQuIBN1VRpelVypukozKAoRkYuf3FZ1sLVDM3qndG9Rb5dFxlJZyJAbkeQfKoyB3upxgMaG-4Hh8sAQGB8e0aoZcbt-fvrL7gHF0HiQ</recordid><startdate>20230309</startdate><enddate>20230309</enddate><creator>Li, Yunyao</creator><creator>Tong, Daniel</creator><creator>Ma, Siqi</creator><creator>Freitas, Saulo R</creator><creator>Ahmadov, Ravan</creator><creator>Sofiev, Mikhail</creator><creator>Zhang, Xiaoyang</creator><creator>Kondragunta, Shobha</creator><creator>Kahn, Ralph</creator><creator>Tang, Youhua</creator><creator>Baker, Barry</creator><creator>Campbell, Patrick</creator><creator>Saylor, Rick</creator><creator>Grell, Georg</creator><creator>Li, Fangjun</creator><general>Copernicus GmbH</general><scope>ISR</scope></search><sort><creationdate>20230309</creationdate><title>Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes</title><author>Li, Yunyao ; Tong, Daniel ; Ma, Siqi ; Freitas, Saulo R ; Ahmadov, Ravan ; Sofiev, Mikhail ; Zhang, Xiaoyang ; Kondragunta, Shobha ; Kahn, Ralph ; Tang, Youhua ; Baker, Barry ; Campbell, Patrick ; Saylor, Rick ; Grell, Georg ; Li, Fangjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1016-13bb5d4ea73a863099d3530e86166061dda73ab0da53e43b98d1981aab924e773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Air pollution</topic><topic>Air quality</topic><topic>Comparative analysis</topic><topic>Remote sensing</topic><topic>Wildfires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yunyao</creatorcontrib><creatorcontrib>Tong, Daniel</creatorcontrib><creatorcontrib>Ma, Siqi</creatorcontrib><creatorcontrib>Freitas, Saulo R</creatorcontrib><creatorcontrib>Ahmadov, Ravan</creatorcontrib><creatorcontrib>Sofiev, Mikhail</creatorcontrib><creatorcontrib>Zhang, Xiaoyang</creatorcontrib><creatorcontrib>Kondragunta, Shobha</creatorcontrib><creatorcontrib>Kahn, Ralph</creatorcontrib><creatorcontrib>Tang, Youhua</creatorcontrib><creatorcontrib>Baker, Barry</creatorcontrib><creatorcontrib>Campbell, Patrick</creatorcontrib><creatorcontrib>Saylor, Rick</creatorcontrib><creatorcontrib>Grell, Georg</creatorcontrib><creatorcontrib>Li, Fangjun</creatorcontrib><collection>Gale In Context: Science</collection><jtitle>Atmospheric chemistry and physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yunyao</au><au>Tong, Daniel</au><au>Ma, Siqi</au><au>Freitas, Saulo R</au><au>Ahmadov, Ravan</au><au>Sofiev, Mikhail</au><au>Zhang, Xiaoyang</au><au>Kondragunta, Shobha</au><au>Kahn, Ralph</au><au>Tang, Youhua</au><au>Baker, Barry</au><au>Campbell, Patrick</au><au>Saylor, Rick</au><au>Grell, Georg</au><au>Li, Fangjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes</atitle><jtitle>Atmospheric chemistry and physics</jtitle><date>2023-03-09</date><risdate>2023</risdate><volume>23</volume><issue>5</issue><spage>3083</spage><pages>3083-</pages><issn>1680-7316</issn><abstract>Plume height plays a vital role in wildfire smoke dispersion and the subsequent effects on air quality and human health. In this study, we assess the impact of different plume rise schemes on predicting the dispersion of wildfire air pollution and the exceedances of the National Ambient Air Quality Standards (NAAQS) for fine particulate matter (PM.sub.2.5) during the 2020 western United States wildfire season. Three widely used plume rise schemes (Briggs, 1969; Freitas et al., 2007; Sofiev et al., 2012) are compared within the Community Multiscale Air Quality (CMAQ) modeling framework. The plume heights simulated by these schemes are comparable to the aerosol height observed by the Multi-angle Imaging SpectroRadiometer (MISR) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The performance of the simulations with these schemes varies by fire case and weather conditions. On average, simulations with higher plume injection heights predict lower aerosol optical depth (AOD) and surface PM.sub.2.5 concentrations near the source region but higher AOD and PM.sub.2.5 in downwind regions due to the faster spread of the smoke plume once ejected. The 2-month mean AOD difference caused by different plume rise schemes is approximately 20 %-30 % near the source regions and 5 %-10 % in the downwind regions. Thick smoke blocks sunlight and suppresses photochemical reactions in areas with high AOD. The surface PM.sub.2.5 difference reaches 70 % on the West Coast of the USA, and the difference is lower than 15 % in the downwind regions. Moreover, the plume injection height affects pollution exceedance (35 µg m.sup.-3) predictions. Higher plume heights generally produce larger downwind PM.sub.2.5 exceedance areas. The PM.sub.2.5 exceedance areas predicted by the three schemes largely overlap, suggesting that all schemes perform similarly during large wildfire events when the predicted concentrations are well above the exceedance threshold. At the edges of the smoke plumes, however, there are noticeable differences in the PM.sub.2.5 concentration and predicted PM.sub.2.5 exceedance region. For the whole period of study, the difference in the total number of exceedance days could be as large as 20 d in northern California and 4 d in the downwind regions. This disagreement among the PM.sub.2.5 exceedance forecasts may affect key decision-making regarding early warning of extreme air pollution episodes at local levels during large wildfire events.</abstract><pub>Copernicus GmbH</pub><tpages>3083</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1680-7316
ispartof Atmospheric chemistry and physics, 2023-03, Vol.23 (5), p.3083
issn 1680-7316
language eng
recordid cdi_gale_infotracmisc_A740267686
source DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry
subjects Air pollution
Air quality
Comparative analysis
Remote sensing
Wildfires
title Impacts of estimated plume rise on PM.sub.2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T09%3A22%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Impacts%20of%20estimated%20plume%20rise%20on%20PM.sub.2.5%20exceedance%20prediction%20during%20extreme%20wildfire%20events:%20a%20comparison%20of%20three%20schemes&rft.jtitle=Atmospheric%20chemistry%20and%20physics&rft.au=Li,%20Yunyao&rft.date=2023-03-09&rft.volume=23&rft.issue=5&rft.spage=3083&rft.pages=3083-&rft.issn=1680-7316&rft_id=info:doi/&rft_dat=%3Cgale%3EA740267686%3C/gale%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A740267686&rfr_iscdi=true