Application of a multi-criteria decision model to select of design choices for WWTPs

被引:36
作者
Garrido-Baserba, M. [1 ,2 ]
Reif, R. [2 ]
Molinos-Senante, M. [3 ,4 ,5 ,6 ]
Larrea, L. [7 ]
Castillo, A. [2 ]
Verdaguer, M. [2 ]
Poch, M. [2 ]
机构
[1] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
[2] Univ Girona, Fac Ciencies, Lab Chem & Environm Engn LEQUIA, Campus Montilivi, Girona 17071, Spain
[3] Pontificia Univ Catolica Chile, Dept Ingn Hidraul & Ambiental, Av Vicuna Mackenna 4860, Santiago, Chile
[4] Pontificia Univ Catolica Chile, Escuela Arquitectura, El Comendador 1916, Santiago, Chile
[5] Pontificia Univ Catolica Chile, Inst Estudios Urbanos, El Comendador 1916, Santiago, Chile
[6] Ctr Desarrollo Urbano Sustentable CONICYT FONDAP, Av Vicuna Mackenna 4860, Santiago, Chile
[7] Univ Navarra, Dept Environm Engn, CEIT & Tecnun, Manuel Lardizabal 15, San Sebastian 20018, Spain
关键词
EDSS; Knowledge-based methodology; C/N ratio; Wastewater treatment; WASTE-WATER TREATMENT; LIFE-CYCLE ASSESSMENT; AEROBIC GRANULAR SLUDGE; TREATMENT PLANTS; ENVIRONMENTAL ASSESSMENT; KNOWLEDGE MANAGEMENT; CONSTRUCTED WETLANDS; POTENTIAL IMPACTS; SMALL COMMUNITIES; NUTRIENT REMOVAL;
D O I
10.1007/s10098-016-1099-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Stricter regulations in the field of sanitation are driving new dimensions of analysis, in which socioeconomic criteria combined with associated environmental issues are in turn increasing the complexity of wastewater management. In this environment, the development of innovative wastewater treatment technologies provides decision-makers with many efficient alternatives to face these new challenges. This growing number of alternatives inevitably leads, however, to ever greater complexity in the design or upgrade of treatment facilities and demands the acquisition and integration of updated knowledge and well-co-ordinated expertise, encouraging a multi-disciplinary approach. In this paper, it was demonstrated that these requirements have been successfully met in a environmental decision support systems (EDSS). The EDSS was built according to a knowledge-based methodology, whose main objective is the identification and assessment of the most appropriate wastewater treatment technologies for the design of new facilities or the upgrading of obsolete plants. Because removal of nutrients is essential to this approach, this study explores the use of the EDSS to address the selection of biological treatment technologies for different scenarios characterized by wastewater composition (C/N ratio) and other relevant criteria such as environmental and economic factors, population size, discharge in sensitive areas, reuse, cost-benefit analysis, life-cycle analysis, and technical aspects (use of innovative technologies, space availability, reliability, and simplicity of operation).
引用
收藏
页码:1097 / 1109
页数:13
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