A comparison between two receptor models to determine the source apportionment of atmospheric pollutants

被引:18
作者
Caselli, Maurizio [1 ]
de Gennaro, Gianluigi [1 ]
Ielpo, Pierina [1 ]
机构
[1] Univ Bari, Dipartmento Chim, I-70126 Bari, Italy
关键词
source apportionment; receptor models; APCS; TTFA;
D O I
10.1002/env.788
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Two frequently used factor analysis (FA) methods, Absolute Principal Components Scores (APCS) and Target Transformation Factor Analysis (TTFA). are compared by examining two cases with different complexity Oil sources and parameters. The effect of the noise contribution on the data is evaluated. By applying the methods to Simulated data matrices. it has been found that the APCS method characterizes the source inatrix better than TTFA method. APCS method also reconstructs the sample better than TTFA. In addition both methods are applied to real data collected during a monitoring campaign in Taranto city (South Italy). Copyright (c) 2006 John Wiley & Soils. Ltd.
引用
收藏
页码:507 / 516
页数:10
相关论文
共 16 条
[1]   SOURCE PROFILES BY UNIQUE RATIOS (SPUR) ANALYSIS - DETERMINATION OF SOURCE PROFILES FROM RECEPTOR-SITE STREAKER SAMPLES [J].
ANNEGARN, HJ ;
MARCAZZAN, GMB ;
CEREDA, E ;
MARCHIONNI, M ;
ZUCCHIATTI, A .
ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS, 1992, 26 (02) :333-343
[2]   Source apportionment of gaseous atmospheric pollutants by means of an absolute principal component scores (APCS) receptor model [J].
Bruno, P ;
Caselli, M ;
de Gennaro, G ;
Traini, A .
FRESENIUS JOURNAL OF ANALYTICAL CHEMISTRY, 2001, 371 (08) :1119-1123
[3]   Accounting for dependence in a flexible multivariate receptor model [J].
Christensen, WF ;
Sain, SR .
TECHNOMETRICS, 2002, 44 (04) :328-337
[4]   INTERLABORATORY COMPARISON OF SOURCE APPORTIONMENT PROCEDURES - RESULTS FOR SIMULATED DATA SETS [J].
CURRIE, LA ;
GERLACH, RW ;
LEWIS, CW ;
BALFOUR, WD ;
COOPER, JA ;
DATTNER, SL ;
DECESAR, RT ;
GORDON, GE ;
HEISLER, SL ;
HOPKE, PK ;
SHAH, JJ ;
THURSTON, GD ;
WILLIAMSON, HJ .
ATMOSPHERIC ENVIRONMENT, 1984, 18 (08) :1517-1537
[5]   Some thoughts on chemical mass balance models [J].
Gleser, LJ .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1997, 37 (01) :15-22
[6]   EXTENSION OF SELF-MODELING CURVE RESOLUTION TO MIXTURES OF MORE THAN 3 COMPONENTS .1. FINDING THE BASIC FEASIBLE REGION [J].
HENRY, RC ;
KIM, BM .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1990, 8 (02) :205-216
[7]   REVIEW OF RECEPTOR MODEL FUNDAMENTALS [J].
HENRY, RC ;
LEWIS, CW ;
HOPKE, PK ;
WILLIAMSON, HJ .
ATMOSPHERIC ENVIRONMENT, 1984, 18 (08) :1507-1515
[8]  
HENRY RC, 2001, ENCY ENV, V3, P1706
[9]   MULTI-ELEMENTAL CHARACTERIZATION OF URBAN ROADWAY DUST [J].
HOPKE, PK ;
LAMB, RE ;
NATUSCH, DFS .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1980, 14 (02) :164-172
[10]   The chemical mass balance as a multivariate calibration problem [J].
Hopke, PK ;
Song, XH .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1997, 37 (01) :5-14