Ou Yan, Ti-Jian Wang, Zhao-Yuan Ruan, Gen-Hui Ma, Xiang-Yu Sheng, Yu-Zheng Wang
{"title":"[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].","authors":"Ou Yan, Ti-Jian Wang, Zhao-Yuan Ruan, Gen-Hui Ma, Xiang-Yu Sheng, Yu-Zheng Wang","doi":"10.13227/j.hjkx.202401037","DOIUrl":null,"url":null,"abstract":"<p><p>To estimate the emission strength of volatile organic compounds (VOCs) from enterprises at an industrial park scale, this study established a VOC source estimation method based on small-scale air quality modeling (ADMS) and mobile monitoring data. First, hourly meteorological data was used to identify the enterprises along the vehicle path based on wind direction. The impact of enterprise emissions on the concentration at the mobile monitoring points was calculated using ADMS. Simulation results were compared with observed values to quantify the VOC source strengths of different enterprises. Further inversion experiments were conducted based on mobile monitoring data from Shenyang Economic Development Zone from July 28th to August 10th, resulting in the hourly emission strengths of the top ten enterprises. In this study, two time periods, from 10:00 to 11:00 on July 28th and from 10:00 to 11:00 on July 29th, exhibited higher emissions from enterprises, primarily from those related to furniture manufacturing. Additionally, emissions from VOCs exceeded 100 g·s<sup>-1</sup> in three of the enterprises. Validation of the model tracing results was conducted based on observational data and the results indicated a good correlation between simulated and observed values. The source apportionment method established in this study provides a novel approach for quantifying emission strength of VOCs in industrial parks, offering a scientific basis for precise control of atmospheric pollution emissions in industrial park areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 3","pages":"1340-1349"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202401037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0
Abstract
To estimate the emission strength of volatile organic compounds (VOCs) from enterprises at an industrial park scale, this study established a VOC source estimation method based on small-scale air quality modeling (ADMS) and mobile monitoring data. First, hourly meteorological data was used to identify the enterprises along the vehicle path based on wind direction. The impact of enterprise emissions on the concentration at the mobile monitoring points was calculated using ADMS. Simulation results were compared with observed values to quantify the VOC source strengths of different enterprises. Further inversion experiments were conducted based on mobile monitoring data from Shenyang Economic Development Zone from July 28th to August 10th, resulting in the hourly emission strengths of the top ten enterprises. In this study, two time periods, from 10:00 to 11:00 on July 28th and from 10:00 to 11:00 on July 29th, exhibited higher emissions from enterprises, primarily from those related to furniture manufacturing. Additionally, emissions from VOCs exceeded 100 g·s-1 in three of the enterprises. Validation of the model tracing results was conducted based on observational data and the results indicated a good correlation between simulated and observed values. The source apportionment method established in this study provides a novel approach for quantifying emission strength of VOCs in industrial parks, offering a scientific basis for precise control of atmospheric pollution emissions in industrial park areas.