Scheda di dettaglio – i prodotti della ricerca
Dato | Valore |
---|---|
Title | A fuzzy GIS-based system to integrate local and technical knowledge in soil salinity monitoring |
Abstract | The increasing awareness of the complexity and uncertainty of environmental processes is changing the role of information production to support decision-making. Monitoring systems need to gather reliable information, adopting a multi-scale and integrated approach. Using exclusively technical monitoring methods to collect the information could result in unsustainable monitoring costs. In order to minimize the costs and to address the scale issue, the integration of local and technical knowledge is proposed in this work. For the implementation of this approach, a tool based on the use of fuzzy logic and geographic information system (GIS) technologies was developed. The willingness of the local community to participate in monitoring activitieswas ensured by keeping these activities as simple and close to local knowledge as possible. The fuzzy GIS-based systemenhances both the comprehensibility of the local knowledge for the decision-makers and its reliability, making it usable for the decision-making process. The tool was developed to support soil salinity monitoring in the lower Amudarya River Basin in Uzbekistan. |
Source | Environmental modelling & software 36, pp. 49–63 |
Keywords | Local knowledgeKnowledge integrationFuzzy expert systemSoil salinity monitoringGIS |
Journal | Environmental modelling & software |
Editor | Elsevier,, Oxford, Regno Unito |
Year | 2012 |
Type | Articolo in rivista |
DOI | 10.1016/j.envsoft.2011.09.004 |
Authors | R. Giordano, S. Liersch |
Text | 201284 2012 10.1016/j.envsoft.2011.09.004 Local knowledge Knowledge integration Fuzzy expert system Soil salinity monitoring GIS A fuzzy GIS based system to integrate local and technical knowledge in soil salinity monitoring R. Giordano, S. Liersch National Research Council e Water Research Institute, via De Blasio, 5 e 70123 Bari, Italy Potsdam Institute for Climate Impact Research PIK , Research Domain II Climate Impacts Vulnerabilities, PO Box 60 12 03, D 14412 Potsdam, Germany The increasing awareness of the complexity and uncertainty of environmental processes is changing the role of information production to support decision making. Monitoring systems need to gather reliable information, adopting a multi scale and integrated approach. Using exclusively technical monitoring methods to collect the information could result in unsustainable monitoring costs. In order to minimize the costs and to address the scale issue, the integration of local and technical knowledge is proposed in this work. For the implementation of this approach, a tool based on the use of fuzzy logic and geographic information system GIS technologies was developed. The willingness of the local community to participate in monitoring activitieswas ensured by keeping these activities as simple and close to local knowledge as possible. The fuzzy GIS based systemenhances both the comprehensibility of the local knowledge for the decision makers and its reliability, making it usable for the decision making process. The tool was developed to support soil salinity monitoring in the lower Amudarya River Basin in Uzbekistan. 36 A fuzzy GIS based system to integrate local and technical knowledge in soil salinity monitoring Article_published.pdf Articolo in rivista Elsevier, 1364 8152 Environmental modelling software Environmental modelling software Environ. model. softw. Environmental modelling software Environmental modelling and software raffaele.giordano GIORDANO RAFFAELE |