研究报告

  • 郝伟华,王文勇,张迎春,王誉霖,何苗.成都市臭氧生成敏感性分析及控制策略的制定[J].环境科学学报,2018,38(10):3894-3899

  • 成都市臭氧生成敏感性分析及控制策略的制定
  • Analysis of ozone generation sensitivity in Chengdu and establishment of control strategy
  • 基金项目:四川省科技计划项目(No.2018SZ0315)
  • 作者
  • 单位
  • 郝伟华
  • 西南交通大学地球科学与环境工程学院, 成都 610036
  • 王文勇
  • 西南交通大学地球科学与环境工程学院, 成都 610036
  • 张迎春
  • 西南交通大学地球科学与环境工程学院, 成都 610036
  • 王誉霖
  • 西南交通大学地球科学与环境工程学院, 成都 610036
  • 何苗
  • 西南交通大学地球科学与环境工程学院, 成都 610036
  • 摘要:利用OZIPR模式结合经验动力学建模方法(EKMA)模拟成都市2017年O3生成过程并绘制EKMA曲线,模拟过程采用CB05机理描述系统的动力学机理,结果表明,成都市O3生成处于VOCs控制区,同时存在NOx单独减少的不利效应,O3控制策略应对VOCs进行减排或同时减排VOCs和NOx.选取5种VOCs和NOx减排比例进行计算,分析结果发现,VOCs与NOx减排量呈线性关系:VOCs=0.77NOx+0.18.成都市"十二五"规划中NOx减排目标为19.13%,代入上式计算后知,VOCs需减排33%才能使O3最大小时浓度达到环境空气质量的二级标准.利用臭氧生成潜势(OFP)计算14种VOCs人为排放源对O3生成的贡献,结果显示,对OFP具有主要贡献的有8种排放源,将33%的VOCs减排目标分配到这8种排放源中,可得各排放源的VOCs减排目标:移动源11.88%、溶剂使用源10.23%、能源民用燃烧3.3%、化工行业2.97%、露天秸秆焚烧1.49%、餐饮0.83%、汽油蒸汽0.63%、建材行业0.59%.
  • Abstract:The OZIPR model was combined with the Empirical Dynamics Modeling Method (EKMA) to simulate the O3 generation process during 2017 in Chengdu. The EKMA curve was plotted. The simulation process uses the CB05 mechanism to describe the dynamics of the system. The results show that O3 generation in Chengdu is in the VOCs control area. Its O3 control strategy should reduce VOCs emissions, or the emissions of VOCs and NOx at the same time. Selecting five kinds of VOCs and NOx reduction ratios to calculate, it is found that VOCs had a linear relationship with NOx emission reduction, i.e., VOCs=0.77NOx+0.18. The NOx emission reduction target in Chengdu's "Twelfth Five-Year Plan" is 19.13%. Therefore, VOCs should be reduced by 33% in order to achieve the O3 maximum hour concentration of secondary air quality standards. Using OFP to calculate the contribution of 14 VOCs anthropogenic emission sources to O3 generation, the results show that there are eight sources of emissions contributing primarily to OFP. Distributing 33% of VOCs emission reduction targets to these eight emission sources will result in VOCs emission reduction targets for each emission source, i.e., 11.88% of mobile sources, 10.23% of solvent use sources, 3.3% of energy for civilian use, 2.97% of chemical industry, 1.49% of open straw burning, 0.83% of catering, 0.63% of gasoline steam, and 0.59% of building materials.

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