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2020年初疫情管控对山东省空气质量影响的模拟
摘要点击 2505  全文点击 843  投稿时间:2020-07-26  修订日期:2020-08-23
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中文关键词  新冠疫情  空气质量  减排  RAMS-CMAQ模式  山东省
英文关键词  COVID-19  air quality  emission reduction  RAMS-CMAQ  Shandong Province
作者单位E-mail
刘厚凤 山东师范大学地理与环境学院, 济南 250014
山东师范大学环保技术与政策研究中心, 济南 250014 
110027@sdnu.edu.cn 
徐薇 山东师范大学地理与环境学院, 济南 250014
暨南大学地下水与地球科学研究院, 广州 510632 
 
魏敏 山东师范大学地理与环境学院, 济南 250014
山东师范大学环保技术与政策研究中心, 济南 250014 
 
隋潇 山东师范大学地理与环境学院, 济南 250014
山东师范大学环保技术与政策研究中心, 济南 250014 
 
许鹏举 山东师范大学地理与环境学院, 济南 250014
山东师范大学环保技术与政策研究中心, 济南 250014 
 
李明燕 山东师范大学地理与环境学院, 济南 250014  
张美根 中国科学院大气物理研究所, 大气边界层物理与大气化学国家重点实验室, 北京 100029 mgzhang@mail.iap.ac.cn 
中文摘要
      利用2020年初新冠疫情对人类生产、生活的一次自然冲击及由此导致的大气污染状况变化,研究了空气质量对污染物减排及气象因素的响应关系.通过对疫情管控前(1月15~23日)和疫情控制关键期(1月24日~2月7日)这2个阶段空气质量对比分析发现,疫情期间山东省除O3浓度上升外,PM10、PM2.5、NO2、SO2及CO浓度分别降低72.6 μg·m-3、47.4 μg·m-3、25.6 μg·m-3、3.0 μg·m-3和0.5 mg·m-3;降幅分别为45.86%、41.24%、58.00%、17.71%和31.40%;RAMS-CMAQ模拟显示,疫情期气象扩散条件改善导致的PM10、PM2.5、NO2、SO2和CO浓度改善幅度为26.04%、33.03%、28.35%、43.27%和23.29%,人为减排造成的各污染物浓度降低幅度为19.82%、8.21%、29.65%、-25.56%和8.12%.疫情期间O3浓度上升20.51%,气象因素和人为活动的影响分别占10.47%和10.04%.结果表明一次污染物对减排响应更敏感,二次污染物对减排响应有一定时滞性且受气象因素影响更显著,臭氧浓度对污染物减排线性响应关系不明显,总体呈负相关,说明臭氧的控制需探索科学的污染物减排比例.
英文摘要
      In this work, the relationships between air quality and pollutant emissions were investigated during the COVID-19 pandemic in Shandong Province. During the quarantine period (from January 24 to February 7, 2020), the concentrations of atmospheric pollutants decreased significantly relative to the period before controls were imposed (from January 15 to 23, 2020). Specifically, except for an increase in the concentration of O3, concentrations of PM10, PM2.5, NO2, SO2, and CO decreased for 72.6 μg·m-3 (45.86%), 47.4 μg·m-3(41.24%), 25.6 μg·m-3 (58.00%), 3.0 μg·m-3 (17.71%), and 0.5 mg·m-3 (31.40%), respectively. RAMS-CMAQ simulation showed that meteorological diffusion had an essential role in improving air quality. Influenced by meteorological factors, emissions of PM10, PM2.5, NO2, SO2, and CO were reduced 26.04%, 33.03%, 28.35%, 43.27%, and 23.29%, respectively. Furthermore, the concentrations of PM10, PM2.5, NO2, SO2, and CO were reduced by 19.82%, 8.21%, 29.65%, -25.56%, and 8.12%, respectively, due to pollution emissions reductions during the quarantine period. O3 concentrations increased by 20.51% during quarantine, caused by both meteorological factors (10.47%) and human activities (10.04%). These results indicate that primary pollutants were more sensitive to emissions reductions; however, secondary pollutants demonstrated a lagged response the emissions reduction and were significantly affected by meteorological factors. The linear relationship between ozone and the emissions reduction was not significant, and was inverse overall. Further investigation are now required on the impact of emissions reduction on ozone pollution control.

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