Spatial UTA (S-UTA) – A new approach for raster-based GIS multicriteria suitability analysis and its use in implementing natural systems for wastewater treatment.

Abstract: The identification of sites for locating new natural systems for wastewater treatment (NSWT), such as stabilization ponds and constructed wetlands, should combine multiple crucial factors (environmental, design, social and economic), and thus the implementation of multicriteria decision-ma...

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Detalles Bibliográficos
Publicado en:Journal of Environmental Management Vol. 125; pp. 41 - 55
Autores principales: Demesouka, O.E., Vavatsikos, A.P., Anagnostopoulos, K.P.
Formato: Artículo
Publicado: Academic Press Inc. Aug2013
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Abstract: The identification of sites for locating new natural systems for wastewater treatment (NSWT), such as stabilization ponds and constructed wetlands, should combine multiple crucial factors (environmental, design, social and economic), and thus the implementation of multicriteria decision-making (MCDM) methods is required. In addition, the spatial nature of the site selection process necessitates the use of geographic information systems (GISs) because they are unanimously recognized as the most appropriate tool capable of supporting sophisticated spatial decision making. The resulting multicriteria spatial decision support systems (MC-SDSSs) provide a consistent framework for dealing with conflicting objectives while integrating the decision makers' (DMs') preferences in spatially related patterns/problems. A map-based, interactive UTAII implementation is presented, which provides a link between a well-understood decision support method and exploratory geographic visualization. Spatial UTA (S-UTA) is applied in a real case study concerning the ranking of candidate sites for implementing natural systems for wastewater treatment in the Evros–Rodopi prefectures of northeastern Greece. Finally, the obtained results are compared with those derived using other MCDM approaches to evaluate the performance of S-UTA in GIS-based land use suitability analyses.