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 therole of information production to support decision-making. Monitoring systems need to gather reliableinformation, adopting a multi-scale and integrated approach. Using exclusively technical monitoringmethods to collect the information could result in unsustainable monitoring costs. In order to minimize thecosts and to address the scale issue, the integration of local and technical knowledge is proposed in thiswork. For the implementation of this approach, a tool based on the use of fuzzy logic and geographicinformation system (GIS) technologies was developed. The willingness of the local community to participatein monitoring activitieswas ensured by keeping these activities as simple and close to local knowledgeas possible. The fuzzy GIS-based systemenhances both the comprehensibility of the local knowledge for thedecision-makers and its reliability, making it usable for the decision-making process. The tool was developedto support soil salinity monitoring in the lower Amudarya River Basin in Uzbekistan.
Autore Pugliese
Tutti gli autori
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R. Giordano; S. Liersch
Titolo volume/Rivista
Environmental modelling & software
Anno di pubblicazione
2012
ISSN
1364-8152
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
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Numero di citazioni Scopus
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Settori ERC
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Codici ASJC
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