GIS-Based Modeling Tools for Shamping Management Strategies for Sustainable Catchment-Coastal Zone Systems (Contributo in atti di convegno)

Type
Label
  • GIS-Based Modeling Tools for Shamping Management Strategies for Sustainable Catchment-Coastal Zone Systems (Contributo in atti di convegno) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cinnirella S.; Trombino G.; Algieri A.; Pirrone N. (2004)
    GIS-Based Modeling Tools for Shamping Management Strategies for Sustainable Catchment-Coastal Zone Systems
    in The European Geosciences Union 1st General Assembly, Nice, France, 25-30 April
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cinnirella S.; Trombino G.; Algieri A.; Pirrone N. (literal)
Pagina inizio
  • 6790 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 6 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Proceedings, 25-30 April 2004, Geophysical Research Abstracts, Vol. 6, 6790 . (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIA (literal)
Titolo
  • GIS-Based Modeling Tools for Shamping Management Strategies for Sustainable Catchment-Coastal Zone Systems (literal)
Abstract
  • Catchment and coastal scientists often work separately to assess and understand respective habitats of competence. Due to the nature of the system that is continuous from the spring to the sea, is necessary to combine effectiveness analysis tools to help address problems inherent both catchment and coastal zone. The Driver Pressure State Impact Response (DPSIR) tool linked with a Geographical Information System (GIS) can be used to effectively define, archive, display, analyse and model spatial and temporal data. Additionally, by combining dissimilar data types, such socio-political information, chemical water condition, ecological status, resource managers can be informed to make sustainable decisions. In this way, DPSIR provides a preliminary system analysis to find best available data and reduce redundancy while GIS integrate the above data types.We have developed a working GIS for the Po River-Adriatic Coastal zone continuum that combined with a DPSIR allows interpretation of many terrestrial and marine data sets including physical, ecological and socio-economic data.We have linked all data to create a broad spatial and temporal database that was used to evaluate natural processes (i.e. nutrient emissions) permitting a real holistic system evaluation. (literal)
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