Sam D Faulstich, Matthew J Strickland, Heather A Holmes
{"title":"加强火灾排放清单对急性健康影响的研究：整合高时空分辨率数据。","authors":"Sam D Faulstich, Matthew J Strickland, Heather A Holmes","doi":"10.1071/wf24040","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Daily fire progression information is crucial for public health studies that examine the relationship between population-level smoke exposures and subsequent health events. Issues with remote sensing used in fire emissions inventories (FEI) lead to the possibility of missed exposures that impact the results of acute health effects studies.</p><p><strong>Aims: </strong>This paper provides a method for improving an FEI dataset with readily available information to create a more robust dataset with daily fire progression.</p><p><strong>Methods: </strong>High temporal and spatial resolution burned area information from two FEI products are combined into a single dataset, and a linear regression model fills gaps in daily fire progression.</p><p><strong>Key results: </strong>The combined dataset provides up to 71% more PM<sub>2.5</sub> emissions, 69% more burned area, and 367% more fire days per year than using a single source of burned area information.</p><p><strong>Conclusions: </strong>The FEI combination method results in improved FEI information with no gaps in daily fire emissions estimates.</p><p><strong>Implications: </strong>The combined dataset provides a functional improvement to FEI data that can be achieved with currently available data.</p>","PeriodicalId":14464,"journal":{"name":"International Journal of Wildland Fire","volume":"34 2","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129123/pdf/","citationCount":"0","resultStr":"{\"title\":\"Enhancing Fire Emissions Inventories for Acute Health Effects Studies: Integrating High Spatial and Temporal Resolution Data.\",\"authors\":\"Sam D Faulstich, Matthew J Strickland, Heather A Holmes\",\"doi\":\"10.1071/wf24040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Daily fire progression information is crucial for public health studies that examine the relationship between population-level smoke exposures and subsequent health events. Issues with remote sensing used in fire emissions inventories (FEI) lead to the possibility of missed exposures that impact the results of acute health effects studies.</p><p><strong>Aims: </strong>This paper provides a method for improving an FEI dataset with readily available information to create a more robust dataset with daily fire progression.</p><p><strong>Methods: </strong>High temporal and spatial resolution burned area information from two FEI products are combined into a single dataset, and a linear regression model fills gaps in daily fire progression.</p><p><strong>Key results: </strong>The combined dataset provides up to 71% more PM<sub>2.5</sub> emissions, 69% more burned area, and 367% more fire days per year than using a single source of burned area information.</p><p><strong>Conclusions: </strong>The FEI combination method results in improved FEI information with no gaps in daily fire emissions estimates.</p><p><strong>Implications: </strong>The combined dataset provides a functional improvement to FEI data that can be achieved with currently available data.</p>\",\"PeriodicalId\":14464,\"journal\":{\"name\":\"International Journal of Wildland Fire\",\"volume\":\"34 2\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129123/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Wildland Fire\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1071/wf24040\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/20 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Wildland Fire","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1071/wf24040","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/20 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Enhancing Fire Emissions Inventories for Acute Health Effects Studies: Integrating High Spatial and Temporal Resolution Data.
Background: Daily fire progression information is crucial for public health studies that examine the relationship between population-level smoke exposures and subsequent health events. Issues with remote sensing used in fire emissions inventories (FEI) lead to the possibility of missed exposures that impact the results of acute health effects studies.
Aims: This paper provides a method for improving an FEI dataset with readily available information to create a more robust dataset with daily fire progression.
Methods: High temporal and spatial resolution burned area information from two FEI products are combined into a single dataset, and a linear regression model fills gaps in daily fire progression.
Key results: The combined dataset provides up to 71% more PM2.5 emissions, 69% more burned area, and 367% more fire days per year than using a single source of burned area information.
Conclusions: The FEI combination method results in improved FEI information with no gaps in daily fire emissions estimates.
Implications: The combined dataset provides a functional improvement to FEI data that can be achieved with currently available data.
期刊介绍：
International Journal of Wildland Fire publishes new and significant articles that advance basic and applied research concerning wildland fire. Published papers aim to assist in the understanding of the basic principles of fire as a process, its ecological impact at the stand level and the landscape level, modelling fire and its effects, as well as presenting information on how to effectively and efficiently manage fire. The journal has an international perspective, since wildland fire plays a major social, economic and ecological role around the globe.
The International Journal of Wildland Fire is published on behalf of the International Association of Wildland Fire.
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