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基于前体物多情景排放的兰州市2030年夏季臭氧预测
摘要点击 1948  全文点击 605  投稿时间:2021-08-11  修订日期:2021-09-30
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中文关键词  兰州市  大气臭氧  臭氧前体物排放  WRF-Chem  情景模拟  减排对策建议
英文关键词  Lanzhou  atmospheric ozone  ozone precursor emissions  WRF-Chem  scenario simulation  emission reduction countermeasures
作者单位E-mail
陈天雷 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000 chentl19@lzu.edu.cn 
吴敏 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
潘成珂 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
常莉敏 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
李泱 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
刘鹏 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
高宏 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000 honggao@lzu.edu.cn 
黄韬 兰州大学资源环境学院, 甘肃省环境污染预警与控制重点实验室, 兰州 730000  
马建民 北京大学城市与环境学院, 北京 100871  
中文摘要
      近年来,兰州市夏季臭氧污染问题日渐凸显,已成为影响当地环境空气质量达标的首要污染因子和制约环境空气质量持续改善的突出短板.解决臭氧污染问题需结合城市经济发展的实际情况定量评估前体物减排量并提出切实可行的减排对策,为环境管理的中长期规划提供科学依据.在2015年本地排放清单的基础上,通过情景分析法预测了兰州市2030年3种梯度城市发展与污染控制情景下臭氧的两类主要前体物氮氧化物(NOx)和挥发性有机物(VOCs)的排放量,利用WRF-Chem模型对不同情景下的2030年夏季臭氧污染程度进行了数值模拟,分析了臭氧浓度与生成敏感性的时空变化情况,并提出了兰州市臭氧前体物的总量控制参考和针对不同行政区的减排对策建议.结果表明,3种不同的城市发展与污染控制情景下兰州市2030年NOx排放量为4.57×104~12.14×104 t,VOCs排放量为5.30×104~7.69×104 t,NOx排放可通过调整能源结构,加强末端治理和限制机动车排放等措施有效减少;减排VOCs则需从工业源、生活源和移动源多方面同时入手,做好长期治理攻坚的准备.模拟结果显示,兰州市夏季中心城区臭氧浓度高,臭氧生成主要受VOCs控制,郊区浓度略低,受NOx控制.2030年若将兰州市NOx和VOCs的排放量限制在6.25×104 t和5.81×104 t,夏季臭氧1 h平均浓度将全部低于国家二级标准,若限制在4.57×104 t和5.30×104 t,可进一步削减夏季日间臭氧浓度的9.1%,更利于中心城区的臭氧浓度削峰.兰州市目前阶段应着重减排中心城区的VOCs和郊区的NOx,同时关注臭氧生成敏感性变化,加强各行政区间的联防联控.
英文摘要
      In recent years, summer ozone pollution in Lanzhou has become an increasingly prominent concern and a primary factor causing the air quality of the city to exceed the ambient air quality standard of China. To achieve the city's goal for improving the air quality in Lanzhou, well below the national standard, effective air quality mitigation measures for the next decade must be taken to quantify the reduction in ozone precursor emissions, which would provide scientific support for the long-term outline of local environmental management. Based on the 2015 emission levels issued by the local government, the emission amounts of major ozone precursors (NOx and VOCs) were predicted, and ozone concentration levels subject to three urban development and pollution control scenarios in Lanzhou in 2030 were simulated using a coupled WRF-Chem weather and air quality model. The response and sensitivity of predicted ozone concentration to the changes in precursor emissions was quantified. The results were used to determine the levels and magnitudes of precursor emission reductions in Lanzhou in the next decade and provide guidance for emission mitigation policy. Based on the economic development and pollution control plan in Lanzhou, the emission range of NOx was 4.57×104-12.14×104 t, and the emission range of VOCs was 5.30×104-7.69×104t, under three modeling scenarios. Adjusting the energy structure, tightening up end-treatment, and restricting the vehicle emissions could more effectively reduce NOx emissions, whereas the reduction in VOCs emissions would depend on synergistic emission reduction from industry, residential, and transportation sources, which requires a long-term campaign. The modeling results showed that the ozone concentration in the urban area was higher than that in the suburbs. The urban ozone was formed mainly in a VOCs-limited regime, and the suburban ozone was formed in an NOx-limited regime. If the emissions of NOx and VOCs in Lanzhou were restricted below 6.25×104 t and 5.81×104 t in 2030, respectively, the 1 h average ozone concentration could be well below the secondary level of the national ambient air quality standard in summer. If emissions of these two precursors were further reduced to 4.57×104 t and 5.30×104 t, the summer daytime-ozone concentration could be further reduced by 9.1%, which would be conducive to ozone control in the urban area. By comparing the ozone pollution in different scenarios, the focus to reduce the air quality of the city below the national standard should be on reducing VOCs in urban Lanzhou and NOx in the suburbs of the city. Additional attention should be paid to the sensitivity of ozone formation to the changes in ozone precursor emissions so as to help strengthen regional joint prevention and control for ozone pollution in Lanzhou.

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