Underwater Soundscapes in the São Paulo State Coast

• Grant number: 16/02175-0
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2016
• End date: June 30, 2018
• Field of knowledge: Engineering - Mechanical Engineering
• Principal Investigator: Linilson Rodrigues Padovese
• Grantee: Linilson Rodrigues Padovese
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated researchers: Alexander Alvarez Rosario

Abstract

This project aims at providing long term monitoring of the underwater soundscape in two Marine Conservation Units (MCU) situated by the center of Sao Paulo State coastline, the State marine Park of Laje de Santos and the Ecological Station Tupinambás. The monitoring process will be carried out by means of autonomous underwater acoustic monitoring equipment named OceanPod, developed by our laboratory. The equipment autonomy, in this Project, will be fixed at 4 months, with 5 missions, totalizing 20 months of continuous monitoring, in each MCUs. Database analysis will allow: obtaining a first knowledge about the underwater soundscape of Sao Paulo State coast, the variation of sound pressure levels with time, a possible special correlation between MUCs, the identification of main sound sources. Moreover, it will supply important information about anthropogenic impacts, mainly the presence of small boats, offering additional help for management of the MCUs. To that end, time-frequency for different time scales, and visualization algorithms will be developed and optimized in order to deal with this great database, as well as algorithms to detect acoustic events of short duration (presence of cetaceans and small boats). Finally, the project will also contribute to enhance underwater acoustic technology through the development of an acoustic release. This equipment will allow streamlining and extending OceanPods use, as far as its installation and recuperation will no more depend on scuba diving. (AU)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

HUBERT, PAULO; PADOVESE, LINILSON; STERN, JULIO MICHAEL. A Sequential Algorithm for Signal Segmentation. Entropy, v. 20, n. 1, JAN 2018. (13/07375-0, 14/50279-4, 16/02175-0)

HUBERT, PAULO; KILLICK, REBECCA; CHUNG, ALEXANDRA; PADOVESE, LINILSON R.. A Bayesian binary algorithm for root mean squared-based acoustic signal segmentation. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, v. 146, n. 3, p. 1799-1807, SEP 2019. (14/50279-4, 16/02175-0)

REIS, CLAUSIUS D. G.; PADOVESE, LINILSON RODRIGUES; DE OLIVEIRA, MARIA C. F.. Automatic detection of vessel signatures in audio recordings with spectral amplitude variation signature. METHODS IN ECOLOGY AND EVOLUTION, v. 10, n. 9, p. 1501-1516, SEP 2019. (17/05838-3, 16/02175-0)

SANCHEZ-GENDRIZ, I.; PADOVESE, L. R.. A methodology for analyzing biological choruses from long-term passive acoustic monitoring in natural areas. ECOLOGICAL INFORMATICS, v. 41, p. 1-10, SEP 2017. (16/02175-0)

HUBERT, P.; PADOVESE, L.; MARTINS, F.. Bayesian estimation of the size distribution of air bubbles in water. Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 43, n. 12, DEC 2021. (14/50279-4, 16/02175-0)