Source apportionment of PM10 at a small industrial area using Positive Matrix Factorization

被引：101
|
作者：
Lim, Jong-Myoung [2 ]
Lee, Jin-Hong [1 ]
Moon, Jong-Hwa [2 ]
Chung, Yong-Sam [2 ]
Kim, Ki-Hyun [3 ]
机构：
[1] Chungnam Natl Univ, Dept Environm Engn, Taejon 305764, South Korea
[2] Korea Atom Energy Res Inst, Dept Nucl Basic Sci, Taejon 305353, South Korea
[3] Sejong Univ, Dept Earth & Environm Sci, Seoul 143747, South Korea
来源：
ATMOSPHERIC RESEARCH | 2010年 / 95卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
PM10; Small industrial area; Positive matrix factorization; Conditional probability function; NEUTRON-ACTIVATION ANALYSIS; ATMOSPHERIC AEROSOL; TRACE-ELEMENTS; PARTICULATE MATTER; AIR-POLLUTION; SOURCE IDENTIFICATION; COARSE PARTICLES; MOTOR-VEHICLES; AMBIENT PM2.5; NATIONAL-PARK;
D O I：
10.1016/j.atmosres.2009.08.009
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
In this study, PM10-bound concentrations of 28 trace metals and 3 ionic components were measured from samples collected at Daejeon Industrial Complexes I and II, Korea from April 2000 to December 2002. Positive matrix factorization (PMF) and conditional probability function (CPF) were applied to these PM data sets to identify the diverse sources in the industrial area. A total of nine source types were identified to be important which include: secondary aerosol, cement/construction, soil dust, road dust, vehicle exhaust, incineration/Pb-related industry, metal smelting, fossil fuel combustion, and field burning. Results of our study suggest that there are competing relationships between anthropogenic and natural source processes in this industrial area. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：88 / 100
页数：13
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