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Title:

Development and Application of Macroscopic Emission Model for China

Accession Number:

01126766

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/Environment_2009_162820.aspx

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Order URL: http://worldcat.org/isbn/9780309142526

Abstract:

A macroscopic emission model is an important tool in a wide-area emission assessment, which is typically used to calculate and develop a national or regional emission inventory. China has had its own emission models. The use of modified versions of U.S. or European models, which has been the practice in the past, can lead to significant errors in emission estimates. This paper attempts to develop a macroscopic emission model for China on the basis of a combined use of real-world emission data collected in China and some supplementary modeling data from MOBILE. The paper first analyzes the fundamental features and calculation logic of existing models, the basis of the structure and modeling framework of the proposed macroscopic emission model for China. Then, a detailed description of the data collection, data analysis, and calculation processes of the key modules is presented. Subsequently, the paper implements the model by using Visual Basic computer language and the Microsoft Access database, which provide two data input approaches: default parameters and user-provided parameters. These approaches offer model flexibility and improve the model’s regional applicability and output accuracy. Finally, a case study of the proposed model for estimating emissions for Beijing in 2008 is presented. Through use of the same data set, the outputs generated by the proposed model are compared with outputs from MOBILE6.2. The emission model developed in this research is shown to reflect the real-world emission level in China better than MOBILE6.2.

Monograph Title:

Environment 2009

Monograph Accession #:

01147486

Report/Paper Numbers:

09-0698

Language:

English

Authors:

Yu, Lei
Xu, Yaofang
Song, Guohua
Hao, Yanzhao
Guo, Shuxia
Shi, Qinyi

Pagination:

pp 66-75

Publication Date:

2009

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2123
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309142526

Media Type:

Print

Features:

Figures (4) ; References (28) ; Tables (4)

Geographic Terms:

Subject Areas:

Environment; Highways; Planning and Forecasting; I15: Environment

Files:

TRIS, TRB, ATRI

Created Date:

Jan 30 2009 4:56PM

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