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Air Sensor Data Unifier: R-Shiny Application. 空气传感器数据统一器：R-Shiny应用。

Air Pub Date : 2025-09-01 Epub Date: 2025-08-30 DOI: 10.3390/air3030021

Karoline K Barkjohn, Catherine Seppanen, Saravanan Arunachalam, Stephen Krabbe, Andrea L Clements

{"title":"Air Sensor Data Unifier: R-Shiny Application.","authors":"Karoline K Barkjohn, Catherine Seppanen, Saravanan Arunachalam, Stephen Krabbe, Andrea L Clements","doi":"10.3390/air3030021","DOIUrl":"10.3390/air3030021","url":null,"abstract":"Data is needed to understand local air quality, reduce exposure, and mitigate the negative impacts on human health. Measuring local air quality often requires a hybrid monitoring approach consisting of the national air monitoring network and one or more networks of air sensors. However, it can be challenging to combine this data to produce a consistent picture of air quality, largely because sensor data is produced in a variety of formats. Users may have difficulty reformatting, performing basic quality control steps, and using the data for their intended purpose. We developed an R-Shiny application that allows users to import text-based air sensor data, describe the format, perform basic quality control, and export the data to standard formats through a user-friendly interface. Format information can be saved to speed up the processing of additional sensors of the same type. This tool can be used by air quality professionals (e.g., state, local, Tribal air agency staff, consultants, researchers) to more efficiently work with data and perform further analysis in the Air Sensor Network Analysis Tool (ASNAT), Google Earth or Geographic Information System (GIS) programs, the Real Time Geospatial Data Viewer (RETIGO), or other applications they already use for air quality analysis and management.","PeriodicalId":521089,"journal":{"name":"Air","volume":"3 3","pages":"21"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12510237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145282359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Excessive Smoke from a Neighborhood Restaurant Highlights Gaps in Air Pollution Enforcement: Citizen Science Observational Study. 附近餐馆的过量烟雾凸显了空气污染执法的差距：公民科学观察研究。

Air Pub Date : 2025-09-01 Epub Date: 2025-07-18 DOI: 10.3390/air3030020

Nicholas C Newman, Deborah Conradi, Alexander C Mayer, Cole Simons, Ravi Newman, Erin N Haynes

{"title":"Excessive Smoke from a Neighborhood Restaurant Highlights Gaps in Air Pollution Enforcement: Citizen Science Observational Study.","authors":"Nicholas C Newman, Deborah Conradi, Alexander C Mayer, Cole Simons, Ravi Newman, Erin N Haynes","doi":"10.3390/air3030020","DOIUrl":"10.3390/air3030020","url":null,"abstract":"Regulatory air pollution monitoring is performed using a sparse monitoring network designed to provide background concentrations of pollutants but may miss small area variations due to local emission sources. Low-cost air pollution sensors operated by trained citizen scientists provide an opportunity to fill this gap. We describe the development and implementation of an air pollution monitoring and community engagement plan in response to resident concerns regarding excessive smoke production from a neighborhood restaurant. Particulate matter (PM2.5) was measured using a low-cost, portable sensor. When cooking was taking place, the highest PM2.5 readings were within 50 m of the source (mean PM2.5 36.9 μg/m3) versus greater than 50 m away (mean PM2.5 13.0 μg/m3). Sharing results with local government officials did not result in any action to address the source of the smoke emissions, due to lack of jurisdiction. A review of air pollution regulations across the United States indicated that only seven states regulate food cookers and six states specifically exempted cookers from air pollution regulations. Concerns about the smoke were communicated with the restaurant owner who eventually changed the cooking fuel. Following this change, less smoke was observed from the restaurant and PM2.5 measurements were reduced to background levels. Although current environmental health regulations may not protect residents living near sources of food cooker-based sources of PM2.5, community engagement shows promise in addressing these emissions.","PeriodicalId":521089,"journal":{"name":"Air","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12525928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145310605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0