College of New Energy and Environment, Jilin University, Changchun, 130012, China; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China.
College of New Energy and Environment, Jilin University, Changchun, 130012, China; Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun, 130021, China; Jilin Province Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130021, China.
Environ Pollut. 2024 Dec 15;363(Pt 1):125182. doi: 10.1016/j.envpol.2024.125182. Epub 2024 Oct 22.
Despite recent enhancements in China's anthropogenic emission controls, ozone (O) concentrations have continuously increased owing to its nature as a secondary pollutant and the complexities of its production and consumption processes. This study quantified the contributions of urban and sectoral cross-emission sources to O levels and identified the anthropogenic emission sources requiring targeted control. Moreover, O sensitivity tests were conducted to determine optimal reduction ratios for nitrogen oxides (NOx) and volatile organic compounds (VOCs) emissions. The results were used to recommend effective measures for controlling O pollution in the Central Plains urban agglomeration (CPUA). The top 35 cities and sectoral cross-emission sources accounted for 80% of the O concentrations in the region, indicating the need for prioritized management of these sources. To achieve reductions in O concentrations across all cities, it was found that a 10% reduction in total NOx emissions would require a minimum of 18% reduction in VOCs emissions. Our results indicated that the appropriate coordination of reductions in VOCs and NOx emissions reduced the maximum daily 8-h average O (MDA8) concentrations in CPUA by 0.14%-4.78%. Enhancing control measures for prioritized emission sources reduced MDA8 concentrations by 0.78%-7.09%. Furthermore, adjusting the production and emission hours of the industrial sector resulted in a decrease in MDA8 concentrations by 1.10%-12.62%. Overall, our findings indicate that appropriately coordinated reduction of precursor emissions can reduce O levels. Further efforts to mitigate O pollution should include optimizing the timing of emissions from the industrial sector and other major sources of VOCs emissions.
尽管中国最近加强了人为排放控制，但由于臭氧是二次污染物，且其生成和消耗过程复杂，其浓度仍持续上升。本研究量化了城市和跨部门交叉排放源对臭氧水平的贡献，并确定了需要进行针对性控制的人为排放源。此外，还进行了臭氧敏感性测试，以确定氮氧化物（NOx）和挥发性有机化合物（VOCs）减排的最佳比例。利用这些结果，为中原城市群（CPUA）的臭氧污染控制推荐了有效措施。排名前 35 的城市和跨部门交叉排放源占该地区臭氧浓度的 80%，表明需要对这些源进行优先管理。为了实现所有城市臭氧浓度的降低，发现要使总 NOx 排放量减少 10%，则需要 VOCs 排放量至少减少 18%。结果表明，VOCs 和 NOx 排放量的适当协调可将 CPUA 中的最大日 8 小时平均臭氧（MDA8）浓度降低 0.14%-4.78%。加强对优先排放源的控制措施可使 MDA8 浓度降低 0.78%-7.09%。此外，调整工业部门的生产和排放时间，可使 MDA8 浓度降低 1.10%-12.62%。总之，研究结果表明，适当协调前体排放物的减少可以降低臭氧水平。进一步缓解臭氧污染的工作应包括优化工业部门和其他主要 VOCs 排放源的排放时间。
