Characterizing the pollution produced by an industrial area - Chemometric methods applied to the Lagoon of Venice

被引:16
作者
Carrer, Sebastiano
Leardi, Riccardo
机构
[1] Magistrato Acque, AntiPollut Dept, I-30125 Venice, Italy
[2] Univ Genoa, Dept Chem & Food & Pharmaceut Technol, I-16147 Genoa, Italy
关键词
industrial pollution; waste waters; multivariate analysis; chemometrics; Venice Lagoon;
D O I
10.1016/j.scitotenv.2006.06.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The industrial area of Porto Marghera discharges every year about 1.85 10(9) m(3) of waste waters in the Lagoon of Venice through its 142 discharge points, 17 of them being constantly active. The Anti-Pollution Department of Magistrato alle Acque, the Venice Water Authority, has been controlling these discharges for many years. The huge database built up during the last years could help the authorities in making choices regarding the water quality of the Venetian environment. The application of chemometric methods to the dataset obtained from chemical analyses of industrial waste water samples (almost 250, for each of them up to 57 chemical variables having been measured) is useful to answer fundamental questions related to the pollution generated by the industrial area: i) which are the main differences among the individual discharge points? ii) is there a temporal trend in global and punctual pollution? iii) which is the discharge point having the strongest relative impact on the waters? The results of the present work allow to 1) identify two different groups of discharge points, discriminated by the level of contamination and by the presence of different contaminants; 2) detect a relevant temporal trend in one of the main outfalls (the industrial and civil waste treatment plant); 3) set up a multivariate strategy to "measure" the relative modification induced on receiving lagoon waters by a single discharge. The application of such a "3-STEP multivariate analysis" to the present and future data of water quality could represent a relevant tool for monitoring industrial activities, providing at the same time a support in management decision processes. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:99 / 116
页数:18
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