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Emission Factor Development in Thailand. Panya Warapetcharayut Director of Automotive Air Pollution Section Air Quality and Noise Management Bureau Pollution Control Department, Ministry of Natural Resources and Environment Bangkok,Thailand. Background and Problems.

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Emission factor development in thailand

Emission Factor Development in Thailand

Panya Warapetcharayut

Director of Automotive Air Pollution Section

Air Quality and Noise Management Bureau

Pollution Control Department,

Ministry of Natural Resources and Environment

Bangkok,Thailand


Background and problems
Background and Problems

•Number of Motor vehicles

•Transportation System

- traffic condition

- congestion

- traffic volume

•Automotive air pollution problems






Objectives
Objectives

  • Generate locality fleet data in Bangkok

  • Develop an air emission database by using MOBILE 6

  • Evaluate the mobile source emission inventory data


Scope of the study
Scope of the study

•Study area is covered Bangkok

•Focus on mobile sources

•Pollutants concerned:

PM,NOx,CO,SOx and HC

•prepare computerized database



Methods and materials
Methods and Materials

Selection of vehicles

HD 20 vehicles

LDD 20 vehicles

LDG 20 vehicles

MC 20 vehicles

Dynamometer testing : PCD’s Laboratory

Driving Cycle : Bangkok Driving Cycle






Modified mobile 6 for bangkok
Modified MOBILE 6 for Bangkok

  • Vehicle Type

  • Vehicle use assumption

  • Ambient temperature

  • Fuel parameters

  • I/M Program parameters


Mobile6 input
MOBILE6 Input

1.Tampering rates

2.VKT mixes

3.Annual mileage accumulation rates

4.Registration distribution by vehicle type

and age

5.Basic emission rates

6.I/M program

7.Anti-tampering programs


Mobile6 out put
MOBILE6 Out put

The database output will provides:

•grams/kilometer output by hour,

•pollutants,

•emission type,

•vehicle class,

•vehicle age,

•facility type.


Qa qc of mobile 6
QA/QC of MOBILE 6

  • Compare emission with overall emissions inventory

  • Compare emission with per capita emissions

  • Compare emission with VKT

  • Compare emission with fleet data and fuel consumption statistics

  • Remote sensing surveys of exhaust emission

  • Use of ambient sampling data


Expected results
Expected Results

•support environmental policy

•monitor the environmental policy

•analyze trends in the emission data

•provide the official emission data

•disseminate emission data to public



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