Fuzzy logic based risk assessment of effluents from waste-water treatment plants

被引:19
作者
Cabanillas, Julian [1 ]
Ginebreda, Antoni [2 ]
Guillen, Daniel [2 ]
Martinez, Elena [2 ]
Barcelo, Damia [2 ,3 ]
Moragas, Lucas [4 ]
Robuste, Jordi [4 ]
Darbra, Rosa Ma [1 ]
机构
[1] Univ Politecn Cataluna, Dept Chem Engn, E-08028 Barcelona, Spain
[2] IDAEA CSIC, Dept Environm Chem, Barcelona 08034, Spain
[3] Univ Girona, Catalan Inst Water Res ICRA, Girona 17003, Spain
[4] Catalan Water Agcy, Agencia Catalana Aigua, Barcelona 08036, Spain
关键词
Fuzzy logic; Wastewater effluents; Risk assessment; COMMPS; GAS-CHROMATOGRAPHY; QUALITY; DEGRADATION; SYSTEM;
D O I
10.1016/j.scitotenv.2012.09.008
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
This paper presents a new methodology to assess the risk of water effluents from waste-water treatment plants (WWTPs) based on fuzzy logic, a well-known theory to deal with uncertainty, especially in the environmental field where data are often lacking. The method has been tested using the effluent's pollution data coming from 22 waste-water treatment plants (WWTPs) located in Catalonia (NE Spain). Thirty-eight pollutants were analyzed along three campaigns performed yearly from 2008 to 2010. Whereas 9 compounds have been detected in more than 70% of the samples analyzed, 7 compounds have been found at levels equal or higher than the river Environmental Quality Standards set by the Water Framework Directive. Upon combination of both criteria (presence and concentration), compounds of greatest environmental concern in the WWTP studied are nickel, the herbicide diuron, and the endocrine disruptors nonyl and octylphenol. It is remarkable the low variability of the pollutant concentration just differing for the case of nickel and zinc. These low values of exposure together with other pollutants' characteristics provide a medium or low risk assessment for all the WWTPs. The results of this new method have been compared with COMMPS procedure, a solid method developed in the context of the Water Framework Directive, and they show that the fuzzy model is more conservative than COMMPS. This is due to different reasons: the fuzzy model takes into account the persistence of chemical compounds whereas COMMPS does not; the fuzzy model includes the weights provided by an expert group inquired in previous works and also considers the uncertainty of the environmental data, avoiding the crisp values and offering a range of overlapping between the different fuzzy sets. However, the results even if being more conservative with fuzzy logic, are in good agreement with a solid methodology such as the COMMPS procedure. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:202 / 210
页数:9
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