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Global sensitivity analysis, GIS and multi-criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain / M. Gomez-Delgado in International journal of geographical information science IJGIS, vol 20 n° 4 (april 2006)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 20 n° 4 (april 2006) . - pp 449 - 466 Titre : Global sensitivity analysis, GIS and multi-criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain Type de document : Article/Communication Auteurs : M. Gomez-Delgado, Auteur ; S. Tarantola, Auteur Année de publication : 2006 Article en page(s) : pp 449 - 466 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] acquisition de données [Termes IGN] aménagement durable [Termes IGN] analyse de sensibilité [Termes IGN] analyse multicritère [Termes IGN] déchet [Termes IGN] développement durable [Termes IGN] Espagne [Termes IGN] évaluation des données [Termes IGN] risque environnemental [Termes IGN] système d'information géographique [Termes IGN] variance Résumé : (Auteur) 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. Numéro de notice : A2006-182 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810600607709 En ligne : https://doi.org/10.1080/13658810600607709 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27909 [article]

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