大气环境预测的云量替代性分析研究  

Alternative Analysis of Cloud Scenarios in Atmospheric Environment Prediction

作　　者：国世友[1] 孟宪林[2] 赵柠[1] Guo Shiyou;Meng Xianlin;Zhao Ning(Heilongjiang Meteorological Station,Harbin 150030,China;College of Municipal Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China)

机构地区：[1]黑龙江省气象台,黑龙江哈尔滨150030 [2]哈尔滨工业大学市政环境工程学院,黑龙江哈尔滨150090

出　　处：《环境科学与管理》2020年第5期86-89,共4页Environmental Science and Management

摘　　要：为大气环境预测使用替代云量资料提供依据,基于AERMOD模型,以项目所在地逐时云量为标准云量,项目所在地4次云量、3次云量及距项目所在地小于50 km、大于50 km的3次云量为对比云量,分析对比云量下的污染物浓度预测值与标准云量的误差。结果表明:对比云量进行大气环境预测的误差均较小,可以用对比云量替代评价项目所在地云量进行大气环境预测。In order to provide a reference for the use of different cloud data in atmospheric environment prediction,the hourly cloud data of the project location is defined as the standard cloud scenario based on the AERMOD model.Contrast cloud scenarios are constructed by using the data of 4-time cloud observation,3-time cloud observation and cloud observation of less than 50 km and more than 50 km away from the project location.The study analyzes the errors on the contrast cloud scenarios.The results show that the errors of atmospheric environment prediction of the contrast cloud scenarios are smaller.Comparative cloud scenarios can be used to predict the atmospheric environment instead of the cloud scenario of the project location.

关 键 词：AERMOD模型 云量情景 环境预测 

分 类 号：X32[环境科学与工程—环境工程]