SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas

Risultato della ricerca: Conference contribution

Abstract

A decision support System for the Optimization of the biomass supply chain and Forest Integrated Management in protected areas (SOFIA) is presented. All functionalities have been developed in Python language embedded in the open-source QGIS 3.6 software. Two models were implemented with an approach and methodology based on free and open source software (QGIS, GRASS, SAGA, GDAL). The main aim of SOFIA is to support the Madonie Regional Natural Park authority and forest managers in decision-making processes to assess the costs and benefits in the energy production from residual agro-forestry biomass, as well as for determining the optimum plant size (and power) for energy and heat production and the relative biomass supply area. The implementation encompassed the input dataset definition, algorithms selection and outputs generation: the model itself includes two algorithms. Main outputs are: 1) a raster cumulative Cost map, quantifying the forest accessibility starting from a generic position of the roads network within 60 minutes walking; 2) a vector map, zoning the protected area based on the forest type, access time classes, biomass districts, municipalities and park zoning. The DSS was developed in the framework of INTERREG MED “ForBioEnergy - Forest Bioenergy in the protected Mediterranean areas” Project.
Lingua originaleEnglish
Titolo della pubblicazione ospiteXII SISEF National Congress "La scienza utile per le foreste: ricerca e trasferimento". Abstract-Book Poster.
Pagine1-94
Numero di pagine94
Stato di pubblicazionePublished - 2019

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decision support system
protected area
biomass
zoning
software
heat production
bioenergy
raster
agroforestry
walking
cost
accessibility
decision making
integrated management
methodology
energy production

Cita questo

Maltese, A., Sferlazza, S., Maetzke, F. G., La Mela Veca, D. S., Ciraolo, G., & Contrino, P. (2019). SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas. In XII SISEF National Congress "La scienza utile per le foreste: ricerca e trasferimento". Abstract-Book Poster. (pagg. 1-94)

SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas. / Maltese, Antonino; Sferlazza, Sebastiano; Maetzke, Federico Guglielmo; La Mela Veca, Donato Salvatore; Ciraolo, Giuseppe; Contrino, Paolo.

XII SISEF National Congress "La scienza utile per le foreste: ricerca e trasferimento". Abstract-Book Poster.. 2019. pag. 1-94.

Risultato della ricerca: Conference contribution

Maltese, A, Sferlazza, S, Maetzke, FG, La Mela Veca, DS, Ciraolo, G & Contrino, P 2019, SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas. in XII SISEF National Congress "La scienza utile per le foreste: ricerca e trasferimento". Abstract-Book Poster.. pagg. 1-94.
Maltese A, Sferlazza S, Maetzke FG, La Mela Veca DS, Ciraolo G, Contrino P. SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas. In XII SISEF National Congress "La scienza utile per le foreste: ricerca e trasferimento". Abstract-Book Poster.. 2019. pag. 1-94
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title = "SOFIA: a decision support System for the Optimization of the biomass supply chain and Forest Integrated management in protected areas",
abstract = "A decision support System for the Optimization of the biomass supply chain and Forest Integrated Management in protected areas (SOFIA) is presented. All functionalities have been developed in Python language embedded in the open-source QGIS 3.6 software. Two models were implemented with an approach and methodology based on free and open source software (QGIS, GRASS, SAGA, GDAL). The main aim of SOFIA is to support the Madonie Regional Natural Park authority and forest managers in decision-making processes to assess the costs and benefits in the energy production from residual agro-forestry biomass, as well as for determining the optimum plant size (and power) for energy and heat production and the relative biomass supply area. The implementation encompassed the input dataset definition, algorithms selection and outputs generation: the model itself includes two algorithms. Main outputs are: 1) a raster cumulative Cost map, quantifying the forest accessibility starting from a generic position of the roads network within 60 minutes walking; 2) a vector map, zoning the protected area based on the forest type, access time classes, biomass districts, municipalities and park zoning. The DSS was developed in the framework of INTERREG MED “ForBioEnergy - Forest Bioenergy in the protected Mediterranean areas” Project.",
author = "Antonino Maltese and Sebastiano Sferlazza and Maetzke, {Federico Guglielmo} and {La Mela Veca}, {Donato Salvatore} and Giuseppe Ciraolo and Paolo Contrino",
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AU - Maltese, Antonino

AU - Sferlazza, Sebastiano

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AU - La Mela Veca, Donato Salvatore

AU - Ciraolo, Giuseppe

AU - Contrino, Paolo

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AB - A decision support System for the Optimization of the biomass supply chain and Forest Integrated Management in protected areas (SOFIA) is presented. All functionalities have been developed in Python language embedded in the open-source QGIS 3.6 software. Two models were implemented with an approach and methodology based on free and open source software (QGIS, GRASS, SAGA, GDAL). The main aim of SOFIA is to support the Madonie Regional Natural Park authority and forest managers in decision-making processes to assess the costs and benefits in the energy production from residual agro-forestry biomass, as well as for determining the optimum plant size (and power) for energy and heat production and the relative biomass supply area. The implementation encompassed the input dataset definition, algorithms selection and outputs generation: the model itself includes two algorithms. Main outputs are: 1) a raster cumulative Cost map, quantifying the forest accessibility starting from a generic position of the roads network within 60 minutes walking; 2) a vector map, zoning the protected area based on the forest type, access time classes, biomass districts, municipalities and park zoning. The DSS was developed in the framework of INTERREG MED “ForBioEnergy - Forest Bioenergy in the protected Mediterranean areas” Project.

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