基于空气质量模型的化工园区VOCs排放影响评估方法研究  

作　　者：项雅静 张嘉伟 王东方 

机构地区：[1]上海建科环境技术有限公司,上海200000

出　　处：《科技创新与应用》2022年第5期124-129,共6页Technology Innovation and Application

基　　金：上海市科委科技计划项目(20dz1204009);上海建科集团科研创新项目(HT0219122P100);金山卫化工集中区及周边本底调查评估第三方服务项目(16-19-46503001-002)。

摘　　要：此研究以东南沿海某典型化工集中区为研究对象,通过充分搜集、调研和实测得到源排放数据以及地面气象数据等基础资料,利用LPDM和ADMS两种空气质量模型模拟小尺度VOCs扩散情况并评估其排放影响。园区之间的多源异构数据涉及地理信息、企业规模、污染源类型、VOCs排放总量和单物质排放量等,经过标准化处理得到可供模型模拟使用的源排放清单。(1)将有组织源的排放总量转换为排放速率;(2)把无组织源的排放分摊到空间网格中;(3)耦合委托监测数据及排放总量,获得具体污染物质的排放速率。控制输入参数尽量一致,两种模型的模拟验证结果较好,相关系数r达到0.94,说明两种模型可用于化工园区情景下的VOCs扩散模拟。In this study, a typical chemical concentration area along the southeast coast is taken as the research object.Through full collection, investigation and measurement, source emission data and surface meteorological data are obtained.LPDM and ADMS air quality models are used to simulate small-scale VOCs diffusion and evaluate its emission impact. The multi-source heterogeneous data between parks involve geographic information, enterprise scale, type of pollution sources, total VOCs emissions and single substance emissions, etc. After standardized processing, the source emission lists that can be used for model simulation are obtained:(1) The total amount of emissions from organized sources is converted into emission rates;(2) the emissions from unorganized sources are apportioned to the spatial grid;and(3) coupling the commissioned monitoring data and the total emission amount to obtain the discharge rate of specific pollutants. The control input parameters are consis-tent as far as possible, the simulation results of the two models are good, and the correlation coefficient r is 0.94, indicating that the two models can be used to realize VOCs diffusion simulation in the chemical park scenario.

关 键 词：化工园区 VOCs扩散模拟 LPDM ADMS 参数标准化 

分 类 号：X823[环境科学与工程—环境工程]