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  11. A Prediction Index Of The Volatile Organic Compounds Pollution Conditions In A Chemical Industrial Park Based On Atmospheric Stability

A prediction index of the volatile organic compounds pollution conditions in a chemical industrial park based on atmospheric stability

Xi Chen1, Bo Huang2, Mei Li3

  • 1Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, PR China; Guangzhou Hexin Instrument Co., Ltd, Guangzhou, PR China.

The Science of the Total Environment
|February 13, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a new index to predict total volatile organic compounds (TVOC) pollution in chemical industrial parks up to 7 days in advance. This tool aids in managing air quality and preventing pollution from industrial sources.

Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Air Pollution Monitoring

Background:

  • Volatile organic compounds (VOCs) are key precursors to ozone and PM2.5, posing significant air quality challenges.
  • Industrial sources are major contributors to anthropogenic VOC emissions, necessitating effective pollution control strategies.
  • Predicting total volatile organic compounds (TVOC) in chemical industrial parks (CIPs) is crucial for proactive environmental management.

Purpose of the Study:

  • To develop an efficient method for predicting TVOC pollution conditions in CIPs.
  • To assist managers in implementing advance corporate emission management strategies.
  • To explore the formation mechanisms of VOCs pollution within CIPs.

Main Methods:

  • Construction of a novel TVOC pollution index using TVOC monitoring and meteorological data (Jan 1, 2022 - Dec 31, 2022).
Keywords:
Chemical industrial parkTVOC pollution indexVolatile organic compounds

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  • The index integrates atmospheric stability and localized horizontal diffusion conditions for 7-day TVOC variation prediction.
  • Synoptic weather patterns and backward trajectory analysis were employed to investigate pollution formation.

    • Main Results:

    • The developed index accurately predicts TVOC variations in CIPs over the next 7 days.
    • Analysis revealed that specific synoptic weather patterns (westerly winds, high temperatures >30°C, subtropical high pressure) contribute to pollution.
    • Unfavorable horizontal and vertical diffusion conditions within the CIP exacerbate VOCs pollution.

    Conclusions:

    • The TVOC pollution index offers a valuable tool for short-term forecasting of air quality in industrial areas.
    • Understanding the interplay of meteorological factors and industrial emissions is vital for mitigating VOC pollution.
    • Proactive management strategies informed by accurate predictions can significantly reduce the environmental impact of chemical industrial parks.