摘要
以江西省某医药化工园为研究对象,通过恶臭识别和嗅阈值分析从该医药化工园排放的83种大气污染物中筛选得出特征恶臭因子5种,分别为丁醛、硫化氢、二乙胺、丙酸、乙酸丁酯。运用AERMOD模型结合当地实测气象数据模拟了长期气象条件下5种特质恶臭因子的浓度分布情况,根据Weber Fechner理论,将该地区长期气象条件下5种恶臭因子的质量浓度转化为综合臭气强度,得出了该地区综合臭气强度的分布特征,可为该医药化工园及周边恶臭大气环境管理提供有效技术支持。
Taking a pharmaceutical and chemical zone in Jiangxi Province as the research object,five kinds of characteristic odor factors were selected from 83 kinds of air pollutants,including butyraldehyde,hydrogen sulfide,dimethylamine,propionic acid and butyl acetate.Combined with local meteorological data,the AERMOD model was used to simulate the concentration distribution of five special odor factors under long-term meteorological conditions.According to the Weber Fechner theory,the mass concentration of five odor factors in long-term meteorological conditions in this area was transformed into comprehensive odor intensity.The distribution characteristics of comprehensive odor intensity in this area are obtained,which can provide effective technical support for the management of the atmosphere environment of the medicine and chemical industry park and its surroundings.
作者
彭王敏子
温新龙
吴丽芳
Peng Wangminizi;Wen Xinlong;Wu Lifang(Jiangxi Meteorological Science Institute, Nanchang 330096, China;Jiangxi Provincial Institute of Environmental Protection Sciences, Nanchang 330006, China)
出处
《环境科学与管理》
CAS
2021年第2期164-168,共5页
Environmental Science and Management
基金
2017年江西省气象局重点科研项目“AERMOD在乐平工业园区污染预警中的应用研究”资助。
关键词
恶臭污染
综合评价
AERMOD
malodorous pollution
comprehensive evaluation
AERMOD