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Title:
a new method for aermod with missing sounding data
Author: Jiang Lei ; Li Shibei ; Wu Wenjun ; Ding Feng ; Wang Xinhua ; Xu Yisheng ; Lan Ru
Keyword: Correlation methods
Source: Environmental Progress and Sustainable Energy
Issued Date: 2011
Volume: 30, Issue:4, Pages:762-767
Indexed Type: EI
Department: (1) College of Water Sciences Beijing Normal University Beijing 100875 China; (2) Chinese Research Academy of Environmental Sciences Beijing 100012 China; (3) Appraisal Center for Environmental and Engineering Ministry of Environmental Protection Beijing 100012 China; (4) Six-Five Software Workstation Ningbo 315000 China; (5) Waterborne Transportation Institute Beijing 100088 China
Abstract: In this article, an experimental formula method of using surface observation data to estimate the potential temperature profile for AERMIC(AMS/EPA Regulatory Model Improvement Committee) Model (AERMOD) was developed. This method's validity was tested by comparison of hourly averaged concentrations predicted by AERMOD for four field sites (Clifty Creek, Bowline, Lovett, and Westvaco) datasets in US in the convective boundary layer (CBL) using estimated potential temperature and sounding data. When predicting the hourly averaged concentrations, the CBL were divided into convective and near neutral cases based on the values of Monin-Obukhov length (L). Q-Q plots and some statistical measures such as Pearson Correlation Coefficient (R), Fractional Bias (FB), Normalized Mean Square Error (NMSE), Mean Bias Error (MBE), Index of Agreement (D) and Robust Highest Concentration (RHC) were used. The statistical results and Q-Q plots indicated that the concentrations in the CBL using estimated potential temperature had a good relationship and agreement, a little bias, accepted predicted highest concentrations with those derived from sounding data. The statistical results and Q-Q plots in the neutral case were better than those in the convective case. We can conclude that this method was feasible in planetary boundary layer (PBL) for AERMOD. © 2011 American Institute of Chemical Engineers.
English Abstract: In this article, an experimental formula method of using surface observation data to estimate the potential temperature profile for AERMIC(AMS/EPA Regulatory Model Improvement Committee) Model (AERMOD) was developed. This method's validity was tested by comparison of hourly averaged concentrations predicted by AERMOD for four field sites (Clifty Creek, Bowline, Lovett, and Westvaco) datasets in US in the convective boundary layer (CBL) using estimated potential temperature and sounding data. When predicting the hourly averaged concentrations, the CBL were divided into convective and near neutral cases based on the values of Monin-Obukhov length (L). Q-Q plots and some statistical measures such as Pearson Correlation Coefficient (R), Fractional Bias (FB), Normalized Mean Square Error (NMSE), Mean Bias Error (MBE), Index of Agreement (D) and Robust Highest Concentration (RHC) were used. The statistical results and Q-Q plots indicated that the concentrations in the CBL using estimated potential temperature had a good relationship and agreement, a little bias, accepted predicted highest concentrations with those derived from sounding data. The statistical results and Q-Q plots in the neutral case were better than those in the convective case. We can conclude that this method was feasible in planetary boundary layer (PBL) for AERMOD. © 2011 American Institute of Chemical Engineers.
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16179
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Jiang Lei,Li Shibei,Wu Wenjun,et al. a new method for aermod with missing sounding data[J]. Environmental Progress and Sustainable Energy,2011-01-01,30(4):762-767.
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