中文关键词
京津冀及周边地区新冠肺炎疫情排放清单污染物减排重污染 | 英文关键词Beijing-Tianjin-Hebei and its surrounding areasCOVID-19 pandemicemission inventoryair pollutant emission reductionheavy pollution |
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| 中文摘要 |
| 基于大气污染源排放清单技术方法，定量分析2016~2017年秋冬季"跨年霾"至2019~2020年秋冬季"疫情霾"期间京津冀及周边地区主要大气污染物排放量变化，解析大气污染防治政策实施带来的减排和疫情造成的活动水平下降对主要污染物排放的贡献，并利用空气质量模型模拟分析不利气象条件下措施减排和疫情影响对空气质量改善的贡献.结果表明，从"跨年霾"（2016-12-16~2017-01-14）至"疫情霾"（2020-01-22~2020-02-14）该区域主要大气污染物排放量大幅下降50%左右，不利气象条件下，区域PM2.5平均浓度可削减40%以上.措施减排主要来自火电、钢铁等重点工业行业提标改造和工业锅炉、民用燃煤等燃煤源治理，对SO2和PM2.5排放量的削减贡献较大，贡献率分别为67.1%和53.4%；疫情主要影响移动源和轻工业活动水平，对NOx和VOCs排放量的削减贡献较大，贡献率分别为71.9%和68.2%.措施减排对区域空气质量改善贡献突出，有效抑制了重污染过程的强度和范围.在"跨年霾"的不利气象条件下，措施减排使区域PM2.5平均浓度下降26%，重度及以上污染天数减少44%.受疫情影响，区域PM2.5平均浓度继续下降24%，重污染持续时间和范围进一步缩减. |
| 英文摘要 |
| Based on the air pollution emission inventory technical methodology, this study conducted a quantitative analysis on the changes in major air pollutant emissions in Beijing-Tianjin-Hebei and its surrounding areas from the ‘New Year Haze’ in the autumn and winter of 2016-2017 to the ‘Pandemic Haze’ in the autumn and winter of 2019-2020. The contributions of the implementation of air pollution prevention and control policies and the COVID-19 pandemic to major air pollutant emission reductions were studied, and their impacts on the regional air quality under adverse meteorological conditions were simulated using an air quality model. The results showed that from the ‘New Year Haze’ in Dec 2016-Jan 2017 to the ‘Pandemic Haze’ in Jan-Feb 2020, the major air pollutant emissions in the region had dropped by approximately 50%, and the average concentration of PM2.5 was potentially reduced by more than 40% under adverse meteorological conditions. The most effective emission reduction measures included the clean heating project and raising the standards in key industrial sectors, such as the iron and steel industry, coal-fired boilers, and power plants, which contributed 67.1% and 53.4% of the emission reductions in SO2 and PM2.5, respectively. The COVID-19 pandemic predominantly affected the mobile sources and light industry, which contributed 71.9% and 68.2% of the emission reductions in NOx and VOCs, respectively. The implementation of air pollution prevention and control policies contributed substantially to the improvement of regional air quality, which effectively reduced the intensity and extent of the heavy pollution process under unfavorable meteorological conditions. The regional average PM2.5 concentration was reduced by 26%, and the number of days experiencing heavy pollution decreased by 44%. Due to the impacts of the COVID-19 pandemic, the average PM2.5 concentration in the region was reduced by an additional 24%, and the duration and extent of heavy pollution decreased even further. |
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