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Vegetation exposure to ozone over the continental United States: Assessment of exposure indices by the Eta-CMAQ air quality forecast model
The main use of air quality forecast (AQF) models is to predict ozone (O 3) exceedances of the primary O 3 standard for informing the public of potential health concerns. This study presents the first evaluation of the performance of the Eta-CMAQ air quality forecast model to predict a variety of wi...
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Published in: | Atmospheric environment (1994) 2009, Vol.43 (3), p.724-733 |
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creator | Tong, Daniel Q. Mathur, Rohit Kang, Daiwen Yu, Shaocai Schere, Kenneth L. Pouliot, George |
description | The main use of air quality forecast (AQF) models is to predict ozone (O
3) exceedances of the primary O
3 standard for informing the public of potential health concerns. This study presents the first evaluation of the performance of the Eta-CMAQ air quality forecast model to predict a variety of widely used seasonal mean and cumulative O
3 exposure indices associated with vegetation using the U.S. AIRNow O
3 observations. These exposure indices include two concentration-based O
3 indices, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations, respectively), and three cumulative exposure-based indices, SUM06 (the sum of all hourly O
3 concentrations
≥
0.06
ppm), W126 (hourly concentrations weighed by a sigmoidal weighting function), and AOT40 (O
3 concentrations accumulated over a threshold of 40
ppb during daylight hours). During a three-month simulation (July–September 2005), the model over predicted the M7 and M12 values by 8–9
ppb, or a NMB value of 19% and a NME value of 21%. The model predicts a central belt of high O
3 extending from Southern California to Middle Atlantic where the seasonal means, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations), are higher than 50
ppbv. In contrast, the model is less capable of reproducing the observed cumulative indices. For AOT40, SUM06 and W126, the NMB and NME values are two- to three-fold of that for M7, M12 or peak 8-h O
3 concentrations. The AOT40 values range from 2 to 33
ppm
h by the model and from 1 to 40
ppm
h by the monitors. There is a significantly higher AOT40 value experienced in the United States in comparison to Europe. The domain-wide mean SUM06 value is 14.4
ppm
h, which is about 30% higher than W126, and 40% higher than AOT40 calculated from the same 3-month hourly O
3 data. This suggests that SUM06 and W126 represent a more stringent standard than AOT40 if either the SUM06 or the W126 was used as a secondary O
3 standard. Although CMAQ considerably over predicts SUM06 and W126 values at the low end, the model under predicts the extreme high exposure values (>50
ppm
h). Most of these extreme high values are found at inland California sites. Based on our analysis, further improvement of the model is needed to better capture cumulative exposure indices. |
doi_str_mv | 10.1016/j.atmosenv.2008.09.084 |
format | article |
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3) exceedances of the primary O
3 standard for informing the public of potential health concerns. This study presents the first evaluation of the performance of the Eta-CMAQ air quality forecast model to predict a variety of widely used seasonal mean and cumulative O
3 exposure indices associated with vegetation using the U.S. AIRNow O
3 observations. These exposure indices include two concentration-based O
3 indices, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations, respectively), and three cumulative exposure-based indices, SUM06 (the sum of all hourly O
3 concentrations
≥
0.06
ppm), W126 (hourly concentrations weighed by a sigmoidal weighting function), and AOT40 (O
3 concentrations accumulated over a threshold of 40
ppb during daylight hours). During a three-month simulation (July–September 2005), the model over predicted the M7 and M12 values by 8–9
ppb, or a NMB value of 19% and a NME value of 21%. The model predicts a central belt of high O
3 extending from Southern California to Middle Atlantic where the seasonal means, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations), are higher than 50
ppbv. In contrast, the model is less capable of reproducing the observed cumulative indices. For AOT40, SUM06 and W126, the NMB and NME values are two- to three-fold of that for M7, M12 or peak 8-h O
3 concentrations. The AOT40 values range from 2 to 33
ppm
h by the model and from 1 to 40
ppm
h by the monitors. There is a significantly higher AOT40 value experienced in the United States in comparison to Europe. The domain-wide mean SUM06 value is 14.4
ppm
h, which is about 30% higher than W126, and 40% higher than AOT40 calculated from the same 3-month hourly O
3 data. This suggests that SUM06 and W126 represent a more stringent standard than AOT40 if either the SUM06 or the W126 was used as a secondary O
3 standard. Although CMAQ considerably over predicts SUM06 and W126 values at the low end, the model under predicts the extreme high exposure values (>50
ppm
h). Most of these extreme high values are found at inland California sites. Based on our analysis, further improvement of the model is needed to better capture cumulative exposure indices.</description><identifier>ISSN: 1352-2310</identifier><identifier>EISSN: 1873-2844</identifier><identifier>DOI: 10.1016/j.atmosenv.2008.09.084</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Air quality forecast ; Air quality standard ; Animal, plant and microbial ecology ; Applied ecology ; Biological and medical sciences ; CMAQ ; Crop ; Ecotoxicology, biological effects of pollution ; Effects of pollution and side effects of pesticides on plants and fungi ; Exposure index ; Fundamental and applied biological sciences. Psychology ; Ozone (O 3) ; Regional air quality ; Terrestrial environment, soil, air ; Vegetation exposure</subject><ispartof>Atmospheric environment (1994), 2009, Vol.43 (3), p.724-733</ispartof><rights>2008 Elsevier Ltd</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c439t-f6a95abcf9ede99f6722d54da9a8a922101a60816a1b961f1e6bd73a431577ab3</citedby><cites>FETCH-LOGICAL-c439t-f6a95abcf9ede99f6722d54da9a8a922101a60816a1b961f1e6bd73a431577ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21072336$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Tong, Daniel Q.</creatorcontrib><creatorcontrib>Mathur, Rohit</creatorcontrib><creatorcontrib>Kang, Daiwen</creatorcontrib><creatorcontrib>Yu, Shaocai</creatorcontrib><creatorcontrib>Schere, Kenneth L.</creatorcontrib><creatorcontrib>Pouliot, George</creatorcontrib><title>Vegetation exposure to ozone over the continental United States: Assessment of exposure indices by the Eta-CMAQ air quality forecast model</title><title>Atmospheric environment (1994)</title><description>The main use of air quality forecast (AQF) models is to predict ozone (O
3) exceedances of the primary O
3 standard for informing the public of potential health concerns. This study presents the first evaluation of the performance of the Eta-CMAQ air quality forecast model to predict a variety of widely used seasonal mean and cumulative O
3 exposure indices associated with vegetation using the U.S. AIRNow O
3 observations. These exposure indices include two concentration-based O
3 indices, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations, respectively), and three cumulative exposure-based indices, SUM06 (the sum of all hourly O
3 concentrations
≥
0.06
ppm), W126 (hourly concentrations weighed by a sigmoidal weighting function), and AOT40 (O
3 concentrations accumulated over a threshold of 40
ppb during daylight hours). During a three-month simulation (July–September 2005), the model over predicted the M7 and M12 values by 8–9
ppb, or a NMB value of 19% and a NME value of 21%. The model predicts a central belt of high O
3 extending from Southern California to Middle Atlantic where the seasonal means, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations), are higher than 50
ppbv. In contrast, the model is less capable of reproducing the observed cumulative indices. For AOT40, SUM06 and W126, the NMB and NME values are two- to three-fold of that for M7, M12 or peak 8-h O
3 concentrations. The AOT40 values range from 2 to 33
ppm
h by the model and from 1 to 40
ppm
h by the monitors. There is a significantly higher AOT40 value experienced in the United States in comparison to Europe. The domain-wide mean SUM06 value is 14.4
ppm
h, which is about 30% higher than W126, and 40% higher than AOT40 calculated from the same 3-month hourly O
3 data. This suggests that SUM06 and W126 represent a more stringent standard than AOT40 if either the SUM06 or the W126 was used as a secondary O
3 standard. Although CMAQ considerably over predicts SUM06 and W126 values at the low end, the model under predicts the extreme high exposure values (>50
ppm
h). Most of these extreme high values are found at inland California sites. Based on our analysis, further improvement of the model is needed to better capture cumulative exposure indices.</description><subject>Air quality forecast</subject><subject>Air quality standard</subject><subject>Animal, plant and microbial ecology</subject><subject>Applied ecology</subject><subject>Biological and medical sciences</subject><subject>CMAQ</subject><subject>Crop</subject><subject>Ecotoxicology, biological effects of pollution</subject><subject>Effects of pollution and side effects of pesticides on plants and fungi</subject><subject>Exposure index</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Ozone (O 3)</subject><subject>Regional air quality</subject><subject>Terrestrial environment, soil, air</subject><subject>Vegetation exposure</subject><issn>1352-2310</issn><issn>1873-2844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkM9u1DAQxiMEEqXwCsgXuCX1n2wSc2K1KhSpCCEoV2tiT8CrxN56vCuWR-CpcdkCR04z0nzfNzO_qnoueCO46C62DeQlEoZDIzkfGq4bPrQPqjMx9KqWQ9s-LL1ayVoqwR9XT4i2nHPV6_6s-vkFv2KG7GNg-H0XaZ-Q5cjijxiQxQMmlr8hszFkHzBkmNlN8Bkd-1RcSK_YmgiJljJjcfqX4YPzFomNx98Blxnqzfv1RwY-sds9zD4f2RQTWqDMluhwflo9mmAmfHZfz6ubN5efN1f19Ye37zbr69q2Sud66kCvYLSTRodaT10vpVu1DjQMoKUsTKDjg-hAjLoTk8BudL2CVolV38OozquXp9xdird7pGwWTxbnGQLGPRnJZdurQRRhdxLaFIkSTmaX_ALpaAQ3d-jN1vxBb-7QG65NQV-ML-43AFmYpwTBevrrLif2Uqmu6F6fdFjePXhMhqzHYNH5AiYbF_3_Vv0CHhmgiQ</recordid><startdate>2009</startdate><enddate>2009</enddate><creator>Tong, Daniel Q.</creator><creator>Mathur, Rohit</creator><creator>Kang, Daiwen</creator><creator>Yu, Shaocai</creator><creator>Schere, Kenneth L.</creator><creator>Pouliot, George</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TV</scope><scope>C1K</scope><scope>KL.</scope></search><sort><creationdate>2009</creationdate><title>Vegetation exposure to ozone over the continental United States: Assessment of exposure indices by the Eta-CMAQ air quality forecast model</title><author>Tong, Daniel Q. ; Mathur, Rohit ; Kang, Daiwen ; Yu, Shaocai ; Schere, Kenneth L. ; Pouliot, George</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-f6a95abcf9ede99f6722d54da9a8a922101a60816a1b961f1e6bd73a431577ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Air quality forecast</topic><topic>Air quality standard</topic><topic>Animal, plant and microbial ecology</topic><topic>Applied ecology</topic><topic>Biological and medical sciences</topic><topic>CMAQ</topic><topic>Crop</topic><topic>Ecotoxicology, biological effects of pollution</topic><topic>Effects of pollution and side effects of pesticides on plants and fungi</topic><topic>Exposure index</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Ozone (O 3)</topic><topic>Regional air quality</topic><topic>Terrestrial environment, soil, air</topic><topic>Vegetation exposure</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tong, Daniel Q.</creatorcontrib><creatorcontrib>Mathur, Rohit</creatorcontrib><creatorcontrib>Kang, Daiwen</creatorcontrib><creatorcontrib>Yu, Shaocai</creatorcontrib><creatorcontrib>Schere, Kenneth L.</creatorcontrib><creatorcontrib>Pouliot, George</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Atmospheric environment (1994)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tong, Daniel Q.</au><au>Mathur, Rohit</au><au>Kang, Daiwen</au><au>Yu, Shaocai</au><au>Schere, Kenneth L.</au><au>Pouliot, George</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Vegetation exposure to ozone over the continental United States: Assessment of exposure indices by the Eta-CMAQ air quality forecast model</atitle><jtitle>Atmospheric environment (1994)</jtitle><date>2009</date><risdate>2009</risdate><volume>43</volume><issue>3</issue><spage>724</spage><epage>733</epage><pages>724-733</pages><issn>1352-2310</issn><eissn>1873-2844</eissn><abstract>The main use of air quality forecast (AQF) models is to predict ozone (O
3) exceedances of the primary O
3 standard for informing the public of potential health concerns. This study presents the first evaluation of the performance of the Eta-CMAQ air quality forecast model to predict a variety of widely used seasonal mean and cumulative O
3 exposure indices associated with vegetation using the U.S. AIRNow O
3 observations. These exposure indices include two concentration-based O
3 indices, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations, respectively), and three cumulative exposure-based indices, SUM06 (the sum of all hourly O
3 concentrations
≥
0.06
ppm), W126 (hourly concentrations weighed by a sigmoidal weighting function), and AOT40 (O
3 concentrations accumulated over a threshold of 40
ppb during daylight hours). During a three-month simulation (July–September 2005), the model over predicted the M7 and M12 values by 8–9
ppb, or a NMB value of 19% and a NME value of 21%. The model predicts a central belt of high O
3 extending from Southern California to Middle Atlantic where the seasonal means, M7 and M12 (the seasonal means of daytime 7-h and 12-h O
3 concentrations), are higher than 50
ppbv. In contrast, the model is less capable of reproducing the observed cumulative indices. For AOT40, SUM06 and W126, the NMB and NME values are two- to three-fold of that for M7, M12 or peak 8-h O
3 concentrations. The AOT40 values range from 2 to 33
ppm
h by the model and from 1 to 40
ppm
h by the monitors. There is a significantly higher AOT40 value experienced in the United States in comparison to Europe. The domain-wide mean SUM06 value is 14.4
ppm
h, which is about 30% higher than W126, and 40% higher than AOT40 calculated from the same 3-month hourly O
3 data. This suggests that SUM06 and W126 represent a more stringent standard than AOT40 if either the SUM06 or the W126 was used as a secondary O
3 standard. Although CMAQ considerably over predicts SUM06 and W126 values at the low end, the model under predicts the extreme high exposure values (>50
ppm
h). Most of these extreme high values are found at inland California sites. Based on our analysis, further improvement of the model is needed to better capture cumulative exposure indices.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2008.09.084</doi><tpages>10</tpages></addata></record> |
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source | ScienceDirect Freedom Collection |
subjects | Air quality forecast Air quality standard Animal, plant and microbial ecology Applied ecology Biological and medical sciences CMAQ Crop Ecotoxicology, biological effects of pollution Effects of pollution and side effects of pesticides on plants and fungi Exposure index Fundamental and applied biological sciences. Psychology Ozone (O 3) Regional air quality Terrestrial environment, soil, air Vegetation exposure |
title | Vegetation exposure to ozone over the continental United States: Assessment of exposure indices by the Eta-CMAQ air quality forecast model |
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