[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].

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.

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Publication Details

Journal
PubMed
Published
2025-03-08
DOI
https://doi.org/10.13227/j.hjkx.202401037
Primary Topic
Water Quality Monitoring and Analysis
Type
article
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article

[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].

Y. P. Wang, Xiangyu Sheng, Tijian Wang, Ou Yan et al.
PubMed
Water Quality Monitoring and Analysis
article

[VOCs Emission Retrieval in Industrial Parks Based on the ADMS Model].

Y. P. Wang, Xiangyu Sheng, Tijian Wang, Ou Yan, Zhao-Yuan Ruan, Gen-Hui Ma
article en

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<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.

PubMedVol. 46(3)
Nanjing University (CN)
Water Quality Monitoring and Analysis
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