tMarine Spatial Planning (MSP) can offer significant benefits in terms of economic conservation strategies,optimizing spatial planning and minimizing the impact on the environment. In this paper, we focusedon the application of multi-criteria evaluation (MCE) technique for co-locating offshore wind farms andopen-water mussel cultivation. An index of co-location sustainability (SI) was developed based on theapplication of MCE technique constructed with physical and biological parameters on the basis of remote-sensing data. The relevant physical factors considered were wind velocity, depth range, concerning thesite location for energy production, and sea surface temperature anomaly. The biological variables usedwere Chlorofill-a (as a measurement of the productivity) and Particle Organic Carbon (POC) concentration,in order to assess their influence on the probable benefits and complete the requirements of this man-agement framework. This SI can be easily implemented to do a first order selection of the most promisingareas to be more specifically studied in a second order approach based on local field data.

Sustainable use of marine resources through offshore wind and mussel farm co-location

Guido Benassai
;
Diana Di Luccio
;
Luisa Grieco
2017-01-01

Abstract

tMarine Spatial Planning (MSP) can offer significant benefits in terms of economic conservation strategies,optimizing spatial planning and minimizing the impact on the environment. In this paper, we focusedon the application of multi-criteria evaluation (MCE) technique for co-locating offshore wind farms andopen-water mussel cultivation. An index of co-location sustainability (SI) was developed based on theapplication of MCE technique constructed with physical and biological parameters on the basis of remote-sensing data. The relevant physical factors considered were wind velocity, depth range, concerning thesite location for energy production, and sea surface temperature anomaly. The biological variables usedwere Chlorofill-a (as a measurement of the productivity) and Particle Organic Carbon (POC) concentration,in order to assess their influence on the probable benefits and complete the requirements of this man-agement framework. This SI can be easily implemented to do a first order selection of the most promisingareas to be more specifically studied in a second order approach based on local field data.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/63797
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 21
social impact