A three-way principal factor analysis for assessing the time variability of freshwaters related to a municipal water supply

被引:28
作者
Barbieri, P
Adami, G
Piselli, S
Gemiti, F
Reisenhofer, E
机构
[1] Univ Trieste, Dept Chem Sci, I-34127 Trieste, Italy
[2] ACEGAS SPA, I-34123 Trieste, Italy
关键词
multiway PF analysis; tucker-3; models; freshwater quality; water monitoring;
D O I
10.1016/S0169-7439(02)00007-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Chemical analyses (total hardness, HARD; dissolved oxygen, DO; chlorides; sulfates; nitrates; nitrites; ammonia; orthophosphates; and UV-absorbing organic constituents, LTV-ORG), physical data (turbidity, TURB; temperature, TEMP; conductivity, COND), and biological monitors (total and faecal coliforms, FAEC; faecal streptococci, STREPTO) constitute the 15 parameters, monitored with monthly frequency in the space of 4 years on freshwaters sampled at seven sites in a karstic area of northeastern Italy. The data set was used for a three-way principal factor analysis aimed at exploring the pattern of information about the environmental quality of the monitored freshwaters, since four wells are feeding the municipal water supply of the Province of Trieste, and the other water courses can influence them. The selected three-way (3,3,2) model uses three components for describing the analytical parameters, three for temporal variations and two for spatial variations. The method optimising the 'variance of squares' of the core elements has permitted a simple and meaningful interpretation of the Tucker-3 solution. The procedure succeeded in decomposing the overall temporal variation in three parts, thus highlighting nonperiodic critical events, a periodic seasonal component and a constant term. The seasonality has been confirmed by the examination of the autocorrelation function of the second temporal component. An environmental interpretation and an estimate of the relative relevance of phenomena conditioning the considered water body, detected by the multiway analysis, have been proposed. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:89 / 100
页数:12
相关论文
共 23 条
[11]   MULTIWAY PRINCIPAL COMPONENTS-ANALYSIS OF A COMPLEX DATA ARRAY RESULTING FROM PHYSICOCHEMICAL CHARACTERIZATION OF NATURAL-WATERS [J].
HENRION, R ;
HENRION, G ;
ONUOHA, GC .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1992, 16 (01) :87-94
[12]  
KROONENBERG PM, 1983, 3 MODE PRINCIPAL COM
[13]  
Leardi R, 2000, J CHEMOMETR, V14, P187, DOI 10.1002/1099-128X(200005/06)14:3<187::AID-CEM593>3.0.CO
[14]  
2-0
[15]  
Librando V, 1998, ANN CHIM-ROME, V88, P867
[16]  
Ljung L., 1999, SYSTEM IDENTIFICATIO
[17]  
Massart D.L., 1998, HDB CHEMOMETRICS QUA, DOI DOI 10.1016/S0922-3487(97)80055-X
[18]  
*MATHW, 1997, MATL 5 0
[19]   Using chemical and physical parameters to define the quality of karstic freshwaters (Timavo river, north-eastern Italy): A chemometric approach [J].
Reisenhofer, E ;
Adami, G ;
Barbieri, P .
WATER RESEARCH, 1998, 32 (04) :1193-1203
[20]  
Reisenhofer E., 1996, TOXICOLOGICAL ENV CH, V54, P233