IMOS - ANMN Passive Acoustic Observatory at Portland, VIC (PAPOR)

波特兰被动声学观测站由两到四个系泊装置组成，这些系泊装置安装在约170米深的海底，用于记录海洋中的噪音。该系统可用于监测鲸鱼和鱼类迁徙、地震活动以及其他自然和人为噪声源。如果设置了四个系泊，则在一个边长5公里的近似等边三角形的每个顶点配置一个系泊，第四个系泊在三角形的中心。每个海底系泊处都安装了温度记录仪。< br / >

The Portland Passive Acoustic Observatory consists of two to four moorings fitted with hydrophones set on the seabed at ~170 m depth that record noise in the ocean. This system can be used to monitor whale and fish migrations, seismic activity and other natural and man-made noise sources. If four moorings are set they are configured with a mooring at each apex of an approximate equilateral triangle of 5 km side with the fourth mooring in the triangle centre. Temperature loggers are set on each mooring at the seabed.<br /> <br /> Each logger records at a sampling rate of 6 kHz for between 3-8 min of every 15 min. If four loggers are set a 22 kHz recording is also made once a day to allow accurate synchronisation of the instrument clocks. This is required for locating the source of a sound based on its time of arrival at each hydrophone in the array. A 7 kHz pinger set on the central mooring pings for 35 minutes at a 20 s interval once per day to overlap the 22 kHz sample.<br /> <br /> Raw data from each logger is in the form of mixed binary/text files comprised of:<br /> 1) text header and footer containing recording start and end date/time, quality control and sampling configuration; and<br /> 2) sea noise data of 16 bit unsigned integer, binary values (IEEE, little endian).<br /> <br /> Instruments are calibrated for system gain with white noise of known level input with the hydrophone in series, before and after deployments. System calibrations are made over 2 Hz to the Nyquist frequency. The instrument clock drift is checked against GPS transmitted UTC time before and after deployment.<br /> <br /> The raw data can be obtained on portable disk from IMOS eMarine Information Infrastructure (eMII).<br /> <br /> The Centre for Marine Science and Technology (CMST) at Curtin University has developed Matlab software to process and analyse these data.<br /> <br /> This observatory was decommissioned early in 2018.