英文摘要 |
This project aims to enhance air quality management in the central region, aligning with the Ministry of Environment’s (MOENV) four key goals: effective waste management, improved environmental quality, advanced technology-enabled enforcement, and sustainable environmental governance. Targeting industrial air pollution, odor emissions, and wastewater and waste disposal issues, the project employs optical and real-time monitoring technologies, leveraging data analysis and field investigations to propose management strategies and mitigation measures while improving air quality monitoring and enforcement efficiency.
The methodology includes: (1) Air Quality Data Analysis: Integrating historical data from air quality monitoring stations across the central region to identify pollution characteristics and provide evidence-based policy recommendations; (2) Secondary Hotspot Source Attribution: Investigating air pollutant sources in the Tongluo Industrial Park using open-path Fourier-transform infrared spectroscopy (OP-FTIR) to monitor odor compounds and assess mitigation plans; (3) Continuous Emissions Monitoring Systems (CEMS) Audits: Evaluating the compliance and operational performance of CEMS in three enterprises; (4) Technological Applications: Utilizing imaging surveillance systems and advanced monitoring tools to support pollution event investigations; (5) Technical Workshops: Organizing a CEMS data audit workshop to enhance inspectors’ technical expertise and enforcement capabilities.
The results reveal that PM10 and PM2.5 concentrations in some areas exceeded national standards, with pollution exhibiting distinct seasonal and spatial patterns. In secondary hotspots, multiple odor compounds were identified, primary pollution sources were confirmed, and specific improvement measures were proposed. CEMS audits uncovered issues such as data gaps and equipment deficiencies, necessitating further guidance and oversight. Real-time imaging and FTIR technologies demonstrated high efficacy in monitoring air and waste pollution. Fire incident analyses highlighted the importance of integrating real-time monitoring with data modeling to improve response efficiency.
Through data analysis, technological applications, and case studies, the project deepened the understanding of regional air quality conditions and pollution characteristics, particularly in identifying specific pollutants in hotspots, analyzing odor sources, and managing emissions and waste. The findings provide evidence-based support for air quality governance in the central region, offering targeted recommendations for cross-regional management, technological integration, and policy formulation. Future initiatives should focus on strengthening regulatory oversight in high-pollution areas, optimizing odor and waste management strategies, promoting intelligent monitoring and technology-enabled enforcement tools, and enhancing professional training for inspectors. Leveraging the project’s data and experiences can guide policy reviews and planning, further advancing air quality management effectiveness and fostering sustainable regional environmental improvements.
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