Source-receptor modelling of particulate matters in Mae Moh area

Name: Arpa Wangkiat

Organization : King Mongkut's University of Technology Thonburi. The Joint Graduate School of Energy and Environment. Environmental Technology

keyword: Receptor modelling

; Source apportionment

Abstract: To characterise the atmospheric aerosol in Mae Moh Thailand, and source apportionment study, including a field sampling program. was conducted. Thirty-one samples of PMlo were collected by Dichoton~ous air samplers at Ban Hua Fai air monitoring station during January-April 2001. The monitoring station was situated near Mae Moh coal-fired power plant and its mining facilities. Other possible sources of aerosol were also collected for chemical speciation, including aerosol from agriculture field burning. straw burning, forest leaf burning. heavy duty truck exhaust. paved road dust. soil. agriculture soil, coal, electrostatic precipitator ash, and stack samples from the power plant. Elemental. ion, and carbon compositions of these sources and ambient samples were then analysed by ICP-MS. IC. and CHNSIO analyser, respectively. Organic carbon and soluble potassium were highest in biomass burning aerosol. Ratios of OCITC and K+/K were good markers for this aerosol. Of biomass burning samples. it was found that agricultural aerosol contained significantly high K. Truck aerosol contained highest elemental carbon (EC). However. Earth's crust related samples (soil, road dust and fly ash) contained high amounts of Al. K. Mg. Ca. and Fe. Fine aerosol of stack samples contained high Na and Zn. Carbon could be detected in stack samples but not in ESP fly ash. This was because elemental carbon has small particle size and was not captured by ESP. Source apportionment was conducted using both factor analysis-multiple regression (FA-MR) and Chemical Mass Balance (CMBx) receptor models. The major sources of aerosol at the monitoring station were estimated to be biomass burning, automobile. soil. road dust. and secondary particles. Both FA-MR and CMB8 predicted similar contributions of biomass burning and automobile. However. the CMB8 model over estimatcd thc actual soil and road dust contribution. This may be because the unexplained mass in the I-A-MR model (20.9%) is most likely associated with this category or other geological material.

King Mongkut's University Technology Thonburi. Library

Address: Bangkok

Email: info.lib@mail.kmutt.ac.th

Name: Narumon Withers Harvey

Role: Advisor

Created: 2003

Issued: 2007-07-12

Modified: 2014-05-01

วิทยานิพนธ์/Thesis

ISBN: 9744564733

CallNumber: JGSEE45

eng

Mae Moh

DegreeName: Doctor of Philosophy

Level: Doctoral Degree

Descipline: Environmental Technology

Grantor: King Mongkut's University of Technology Thonburi

©copyrights King Mongkut's University of Technology Thonburi

ลำดับที่.	ชื่อแฟ้มข้อมูล	ขนาดแฟ้มข้อมูล	จำนวนเข้าถึง	วัน-เวลาเข้าถึงล่าสุด
1	JGSEE45.pdf	2.79 MB	43	2021-08-16 16:45:31
2	JGSEE45ab.pdf	17.45 KB	13	2019-01-30 11:42:16
3	JGSEE45.txt	2.33 KB	7	2019-01-30 11:42:32

ใช้เวลา

0.026503 วินาที