GLOBAL sensitivity analysis, GIS and multi‐criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain
- 1 April 2006
- journal article
- research article
- Published by Taylor & Francis in International Journal of Geographical Information Science
- Vol. 20 (4) , 449-466
- https://doi.org/10.1080/13658810600607709
Abstract
A novel application of Sensitivity Analysis is presented. Useful applications of Global SA (GSA) already exist in the field of numerical modelling. In this paper, we explore the joint use of GSA, Geographical Information Systems (GIS) and Multi‐Criteria Evaluation. In this preliminary case study, 11 factors have been used to find the best place to locate a hazardous waste landfill. Two variance‐based methods (Sobol' and E‐FAST) are used to compute sensitivity indices in order to identify the factors that determine the variance of the model output. The results show that only three factors jointly account for 97% of the output variance. This information is employed to make a simplification of the original model, retaining only these three influential factors. In addition, if the SA is carried out in a pilot area where the spatial properties are similar to those of the whole region, we can infer the results to the whole area. This procedure achieves the goal of the study with an optimized allocation of resources for GIS data acquisition.Keywords
This publication has 28 references indexed in Scilit:
- Sensitivity Analysis in Multicriteria Spatial Decision-Making: A ReviewHuman and Ecological Risk Assessment: An International Journal, 2004
- Sensitivity analysis of distributed environmental simulation models: understanding the model behaviour in hydrological studies at the catchment scalePublished by Elsevier ,2003
- GIS-based geo-environmental evaluation for urban land-use planning: a case studyEngineering Geology, 2001
- Uncertainty and sensitivity analysis: tools for GIS-based model implementationInternational Journal of Geographical Information Science, 2001
- Uncertainty propagation in models driven by remotely sensed dataRemote Sensing of Environment, 2001
- Sensitivity and uncertainty analysis in spatial modelling based on GISAgriculture, Ecosystems & Environment, 2000
- Spatial group choice: a SDSS tool for collaborative spatial decisionmakingInternational Journal of Geographical Information Science, 1997
- Importance measures in global sensitivity analysis of nonlinear modelsReliability Engineering & System Safety, 1996
- Fuzziness in Geographical Information Systems: contributions from the analytic hierarchy process†International Journal of Geographical Information Science, 1993
- Locating obnoxious facilities in the public sector: An application of the analytic hierarchy process to municipal landfill siting decisionsSocio-Economic Planning Sciences, 1991