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Underwater Acoustic Impulsive Noise Monitoring in Port Facilities: Case Study of the Port of Cartagena.
Enguix, Ivan Felis; Sánchez Egea, Marta; Guerrero González, Antonio; Arenas Serrano, David.
Afiliação
  • Enguix IF; Naval Technology Center (CTN), 30320 Fuente Álamo, Murcia, Spain. ivanfelis@ctnaval.com.
  • Sánchez Egea M; Naval Technology Center (CTN), 30320 Fuente Álamo, Murcia, Spain. martasanchez@ctnaval.com.
  • Guerrero González A; Department of Automation and Systems Engineering, Technical University of Cartagena, 30202 Cartagena, Murcia, Spain. antonio.guerrero@upct.es.
  • Arenas Serrano D; Naval Technology Center (CTN), 30320 Fuente Álamo, Murcia, Spain. davidarenas@ctnaval.com.
Sensors (Basel) ; 19(21)2019 Oct 28.
Article em En | MEDLINE | ID: mdl-31661829
ABSTRACT
Recording underwater impulsive noise data is an important aspect of mitigating its environmental impact and improving maritime environmental management systems. This paper describes the method used and results of the spatial monitoring of both the baseline noise level and the impulsive noise sources in the Port of Cartagena. An autonomous vessel was equipped with a smart digital hydrophone with a working frequency range between 10 and 200 kHz and a received voltage response (RVR) of, approximately, -170 dB re 1V/µPa. A GIS map was drawn up with the spatiotemporal distribution of the basal sound pressure levels by coupling the acoustic data with the vessel's GPS positions to identify the sources of the impulsive noise of interest and their temporal characteristics. The loading of cargo containers was identified as the main source of impulse noise. This study is the first of a series designed to obtain accurate information on underwater noise pollution and its potential impact on biodiversity in the Port of Cartagena.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article