Multi-scenario analysis in the Adriatic Sea: A GIS-based Bayesian network to support maritime spatial planning.

Furlan, Elisa; Slanzi, Debora; Torresan, Silvia; Critto, Andrea; Marcomini, Antonio

Furlan, Elisa; Slanzi, Debora; Torresan, Silvia; Critto, Andrea; Marcomini, Antonio.

Afiliação

Furlan E; Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.
Slanzi D; European Centre for Living Technology (ECLT), Calle Crosera, Dorsoduro 3911, 30123 Venice, Italy; Department of Management, University Ca' Foscari Venice, Cannaregio 873, 30121 Venezia, Italy.
Torresan S; Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.
Critto A; Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy. Electronic address: critto@unive.it.
Marcomini A; Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.

Sci Total Environ ; 703: 134972, 2020 Feb 10.

Article em En | MEDLINE | ID: mdl-31759699

Palavras-chave

Adriatic Sea; Bayesian Networks (BNs); Climate and management scenarios; Cumulative impacts; Geographic Information Systems (GIS)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Aspecto: Determinantes_sociais_saude Idioma: En Revista: Sci Total Environ Ano de publicação: 2020 Tipo de documento: Article

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