A suitability evaluation tool for siting wastewater treatment facilities in new urban developments

This paper describes the development of a spatial decision-support tool based on soft computing that assists the optimal siting of wastewater treatment technologies within the context of new urban developments, through the creation of suitability maps. The tool is based on multi-criteria decision analysis and fuzzy logic, allowing the inclusion of both uncertainty and of the decision-makers' attitude towards risk in the decision-making process. The paper describes the attributes influencing the siting of wastewater treatment infrastructure and presents a method for using these to generate composite siting suitability maps for a given development site and propose specific locations maximizing the combined suitability index. Extensive sensitivity analysis has been undertaken and the results discussed. The proposed system architecture integrates three widely used software platforms (ArcView GIS, Matlab and MS Excel) into a flexible and user-friendly decision-support tool that can easily be adapted to different spatial decision environments.

[1]  David Butler,et al.  Supporting the choice, siting and evaluation of sustainable drainage systems in new urban developments , 2007 .

[2]  F A Memon,et al.  A decision support framework for sustainable urban water planning and management in new urban areas. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[3]  G. Higgs Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation , 2006, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[4]  David Butler,et al.  Spatial ordered weighted averaging: incorporating spatially variable attitude towards risk in spatial multi-criteria decision-making , 2006, Environ. Model. Softw..

[5]  Christos Makropoulos,et al.  SUPPORTING THE SITING OF NEW URBAN DEVELOPMENTS FOR INTEGRATED URBAN WATER RESOURCE MANAGEMENT , 2006 .

[6]  R. Ashley,et al.  Sustainable Water Services: a Procedural Guide , 2004 .

[7]  David Butler,et al.  Spatial decisions under uncertainty: fuzzy inference in urban water management , 2004 .

[8]  John Davies,et al.  Sustainable decision making for the UK water industry , 2003 .

[9]  Timothy C. Coburn,et al.  GIS and Multicriteria Decision Analysis , 2000 .

[10]  Dimitar Filev,et al.  On the issue of obtaining OWA operator weights , 1998, Fuzzy Sets Syst..

[11]  Glen T. Daigger,et al.  Design of Municipal Wastewater Treatment Plants , 1998 .

[12]  Leonard Ortolano,et al.  Environmental regulation and impact assessment , 1997 .

[13]  Ronald R. Yager,et al.  A General Approach to Criteria Aggregation using Fuzzy Measures , 1993, Int. J. Man Mach. Stud..

[14]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decisionmaking , 1988, IEEE Trans. Syst. Man Cybern..

[15]  Ronald R. Yager,et al.  On ordered weighted averaging aggregation operators in multicriteria decision-making , 1988 .

[16]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[17]  Sayed R Qasim Wastewater Treatment Plants: Planning, Design and Operation , 1986 .

[18]  R. Whitlow,et al.  Basic Soil Mechanics , 1983 .

[19]  Jerrold J. Troyan,et al.  Cost-Effectiveness of On-Site and Community Sewerage Alternatives , 1977 .

[20]  N. I. Mcclelland Individual onsite wastewater systems : proceedings of the third national conference, 1976, sponsored by National Sanitation Foundation and U.S. Environmental Protection Agency Technology Transfer Program , 1977 .

[21]  Charles P. Gerba,et al.  Fate of Wastewater Bacteria and Viruses in Soil , 1975 .

[22]  Kent A. Healy,et al.  Site Evaluation and Design of Seepage Fields , 1974 .