Estimation of Wave Characteristics Based on Global Navigation Satellite System Data Installed on Board Sailboats.

GPS data analysis off-shore wave climate sailboat ship motions wave characteristics

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 May 2019
Historique:
received: 15 03 2019
revised: 30 04 2019
accepted: 14 05 2019
entrez: 22 5 2019
pubmed: 22 5 2019
medline: 22 5 2019
Statut: epublish

Résumé

This paper illustrates a methodology to get a reliable estimation of the local wave properties, based on the reconstruction of the motion of a moving sailboat by means of GNSS receivers installed on board and an original kinematic positioning approach. The wave parameters reconstruction may be used for many useful practical purposes, e.g. to improve of autopilots, for real-time control systems of ships, to analyze and improve the performance of race sailboats, and to estimate the local properties of the waves. A Class 40 oceanic vessel (ECO40) left from the port of "Riva di Traiano" located close to Rome (Italy) on 19 October 2014 to perform a non-stop sailing alone around the world in energy and food self-sufficiency. The proposed system was installed on ECO40 and the proposed method was applied to estimate the wave properties during a storm in the Western Mediterranean Sea. The results compared against two sets of hindcast data and wave buoy records demonstrated the reliability of the method.

Identifiants

pubmed: 31109019
pii: s19102295
doi: 10.3390/s19102295
pmc: PMC6567120
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Paolo De Girolamo (P)

"Sapienza", University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy. paolo.degirolamo@uniroma1.it.
Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA)-Environmental and Maritime Hydraulic Laboratory (LIam), University of L'Aquila, 67100 L'Aquila, Italy. paolo.degirolamo@uniroma1.it.
Engineering Department, Roma Tre University, Via V. Volterra, 62, 00146 Roma, Italy. paolo.degirolamo@uniroma1.it.
Department of Civil Engineering and Computer Science , University of Rome "Tor Vergata", DICII, Via del Politecnico, 1, 00133 Roma, Italy. paolo.degirolamo@uniroma1.it.

Mattia Crespi (M)

"Sapienza", University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy. mattia.crespi@uniroma1.it.

Alessandro Romano (A)

"Sapienza", University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy. alessandro.romano@uniroma1.it.

Augusto Mazzoni (A)

"Sapienza", University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy. augusto.mazzoni@uniroma1.it.

Marcello Di Risio (M)

Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA)-Environmental and Maritime Hydraulic Laboratory (LIam), University of L'Aquila, 67100 L'Aquila, Italy. marcello.dirisio@univaq.it.

Davide Pasquali (D)

Department of Civil, Construction-Architectural and Environmental Engineering (DICEAA)-Environmental and Maritime Hydraulic Laboratory (LIam), University of L'Aquila, 67100 L'Aquila, Italy. davide.pasquali@univaq.it.

Giorgio Bellotti (G)

Engineering Department, Roma Tre University, Via V. Volterra, 62, 00146 Roma, Italy. giorgio.bellotti@uniroma3.it.

Myrta Castellino (M)

"Sapienza", University of Rome, DICEA, Via Eudossiana, 18, 00184 Roma, Italy. myrta.castellino@uniroma1.it.

Paolo Sammarco (P)

Department of Civil Engineering and Computer Science , University of Rome "Tor Vergata", DICII, Via del Politecnico, 1, 00133 Roma, Italy. sammarco@ing.uniroma2.it.

Classifications MeSH