Water bodies characterization through GIS for complying the WQOs as established in the WFD (Contributo in atti di convegno)

Type
Label
  • Water bodies characterization through GIS for complying the WQOs as established in the WFD (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • Cinnirella S.; Pirrone N.; Trombino G.; Algieri A. (2005)
    Water bodies characterization through GIS for complying the WQOs as established in the WFD
    in LOICZ II Inaugural Open Science Meeting, ,27-29 June 2005., Egmond aan Zee, Netherlands, 27-29 June
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Cinnirella S.; Pirrone N.; Trombino G.; Algieri A. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-IIA (literal)
Titolo
  • Water bodies characterization through GIS for complying the WQOs as established in the WFD (literal)
Abstract
  • The Water Framework Directive (2000/60/CE) defines the timescale for reaching established Water Quality Objectives (WQOs) for all water bodies. Several instruments were defined in the WFD (i.e. registering, monitoring banning) to achieve the scope. However, the preliminary step for achieving the WQOs is the characterization of the water bodies through the use Geographic Information System (GIS) (Annex II, WFD). This study is a part of an integrated study on a continuum catchment-coastal zone subjected to the eutrophication problem. The DPSIR framework served as unifying instrument to analyse the complex case; models served to define pathways within the catchment and to assess the coastal zone Status; scenarios give perspectives on the river basin management under different view of future. But, the base of such a complex study was both the database and the GIS. Indicators coming from ecological, chemical and socio-economic sectors were selected taking into account both the DPSIR and the model requirements. These indicators were integrated into the database but the list was reduced or increased with DPSIR assessment and when the modelling phase suggested specific input data. This phase also addresses the collection of historical data because trends were necessary to determine expected behaviour on principal indicators (i.e. population, landcover, nitrogen and phosphorous surplus in soil). Each indicator was extrapolated to the years imposed by the WFD (reference years 2008 and 2016) for the achievement of WQOs. The complex relational database (Cinnirella et al., 2003) was then integrated into an object-oriented database pertinent to a Geographic Information System and data serve for model runs. In the GIS were included the results generated by models describing quantitatively the 2008-2016 continuum catchment-coastal zone in terms of nutrient fluxes under different storylines of scenario assessment. Finally, water bodies were characterized for each reference year as established in the WFD. Considering the complexity of the eutrophication phenomenon, the DPSIR framework supported by the GIS improves the effectiveness of scenario evaluation through a more user-friendly policy tool. (literal)
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