Preprint
Article

This version is not peer-reviewed.

A Low-Cost Passive Acoustic Toolkit for Underwater Recordings

A peer-reviewed article of this preprint also exists.

Submitted:

15 September 2025

Posted:

16 September 2025

You are already at the latest version

Abstract
Passive acoustic monitoring is a key tool for studying underwater soundscapes and assessing anthropogenic impacts, yet the high cost of hydrophones limits large-scale deployment and citizen science participation. We present the design, construction, and field evaluation of a low-cost hydrophone unit integrated into an acoustic toolkit. The hydrophone, built from off-the-shelf components at a cost of ~20 €, was paired with a commercially available handheld recorder, resulting in a complete system priced at ~50 €. Four field experiments in Greek coastal waters validated hydrophone performance across a marine protected area, commercial port, aquaculture site, and coastal reef. Recordings were compared with those from a calibrated scientific hydrophone (SNAP, Loggerhead Instruments). Results showed that the low-cost hydrophones were mechanically robust and consistently detected most anthropogenic sounds also identified by the reference instrument, though their performance was poor at low frequencies (< 200 Hz) and susceptible to mid-frequency (3 kHz) resonance issues. Despite these constraints, the toolkit demonstrates potential for large-scale, low-budget passive acoustic monitoring and outreach applications, offering a scalable solution for citizen scientists, educational programs, and research groups with limited resources.
Keywords: 
;  ;  ;  ;  

1. Introduction

Sound is a crucial component of the marine environment [1,2] and an effective means to study animal life in the ocean [3,4]. Many marine animals have evolved ways to use sound production and hearing in behavioural facets that are critical to their survival, such as cetaceans, marine invertebrates and numerous fishes [3,5,6]. Yet, in the oceans, anthropogenic low-frequency noise (<1 kHz) from shipping has steadily increased over the last 50 years [7,8,9] at a concerning average rate of 3 dB per decade [10]. Indeed, most human activities in the marine environment produce sound, and this pervasive input is increasingly altering the marine acoustic environment [11]. Depending on temporal patterns of traffic density, proximity to shipping routes, and acoustic propagation conditions [12] anthropogenic noise can have detrimental effects on marine biota and may disrupt entire biocommunities [13,14,15,16,17].
In the European Union (EU), low levels of underwater noise are a criterion for achieving ‘good environmental status’, as defined by the Marine Strategy Framework Directive (MSFD) in Descriptor 11: ‘Energy, including underwater noise’ [18]. Furthermore, each member state of the EU is required to research, monitor and report on the levels and spatiotemporal distribution of impulsive and continuous underwater noise [19]. In the open waters of the Mediterranean, the main sources of anthropogenic noise are the low-frequency sounds radiated from commercial ships and fishing vessels [20], while coastal waters are also subjected to small boat noise from recreational activities during the summer months [21,22]. Coastal marine protected areas (MPAs) implement various marine traffic restrictions and no-fishing policies [23,24], but their proximity, and often overlap, with tourist hotspots, coupled with the pervasive nature of underwater noise, limits their efficiency in safeguarding against this stressor [25,26,27].
The characterization of marine soundscapes and the study of underwater sound is therefore key for management bodies to develop informed noise mitigation policies [28,29,30]. To this end, passive acoustic monitoring (PAM) methods are particularly suited, either using fixed acoustic stations [31,32,33], moored oceanographic buoys [34], free-drifting calibrated hydrophones [35] or ad-hoc spot measurements [36]. Even though these methods can provide valuable and high quality measurements, their data collection efforts are often limited by financial and personnel availability constraints when aiming for large-scale coverage. In an effort to pursue low-cost alternatives to expensive underwater recording equipment, various initiatives have developed their custom versions of low-cost hydrophones, available either commercially with underwater housing, supporting software and duty-cycle options [37] or as homebuild do-it-yourself (DIY) designs based on off-the-shelf piezoelectric (PZ) elements for on-site recordings [38,39,40,41].
The aim of this study was to develop and test in-depth under different usage scenarios an easy to construct low-cost hydrophone, intended for large-scale acoustic sampling by citizen scientists and researchers alike. Its performance for demanding research applications such as marine traffic measurements and long-term soundscape monitoring was assessed across four field experiments at coastal sites, designed to capture both anthropogenic and biological sounds. The low-cost unit was compared with a scientific-grade hydrophone (the SNAP autonomous recorder from Loggerhead Instruments). The build proposed herein is part of an acoustic toolkit that consists of the hydrophone and a low-cost commercially available handheld recorder and optionally, it can be coupled with a cell phone device for easy-to-conduct field recordings. This hydrophone provides a cost-effective build (approximately 20 € per unit plus 30 € for a handheld recorder) and features a simple design that allows for straightforward sampling.

2. Materials and Methods

2.1. Hardware Components and Hydrophone Construction

Central to our low-cost hydrophone design is a thin piezoelectric disk 35 mm in diameter, identical to the PZ elements commonly used in gift cards, acoustic guitar pickups, and electronic buzzers. After soldering it to an off-the-shelf audio cable, the PZ disk is glued with cyanoacrylate (‘super’) glue onto a plexiglass disk of 4 mm thickness. The latter is then superglued to a PVC threaded nipple and acts both as the face of the hydrophone and as a lid for the enclosure (Figure 1a,b,c). At the back (recorder-facing) side of the hydrophone, the audio cable exits the enclosure through a brass pipe fitting that is screwed into the PVC thread and closely matches the cable’s diameter at its narrowest end. Finally, all connection points of the hydrophone are sealed to prevent water influx. Specifically, the PVC-to-plexiglass connection (Figure 1d-i) is sealed with a thick layer of adhesive sealant for marine applications (Sikaflex-291i), taking care not to cover the hydrophone’s face and the PZ element that sits behind it. The threaded part (Figure 1d-ii) is sealed with both Teflon tape and liquid Teflon, and the exit point of the audio cable (Figure 1d-iii) is protected with a layer of adhesive sealant and heat shrink tubing. The resulting unit offers adequate mechanical strength and enough weight to achieve slightly negative buoyancy. A full list of assembly components with indicative prices is provided in Appendix 1 (Table A1).

2.2. Experimental Recordings

Two custom-made uncalibrated hydrophones were experimentally tested at four coastal sites of the Aegean and Ionian Seas (Greece): Marathonisi Islet at the National Marine Park of Zakynthos (NMPZ), the port of Mytilene at Lesvos Island, and the sites of Agrilia and Villa at Southeast Lesvos (Table 1, Figure 2).
During these test recordings, one custom-made hydrophone (hereafter referred to as ‘Nemo-1’) was always coupled with a Philips DVT 1120 handheld recorder that is part of the acoustic toolkit. The recorder of the second custom-made hydrophone (‘Nemo-2’) varied by site, and was either a Tascam DR-05X or an M-Audio MicroTrack II. The SNAP autonomous underwater recorder from Loggerhead Instruments, equipped with the HTI-96-Min acoustic sensor (sensitivity -170 dB re 1V/μPa), was used in all sessions as a reference, factory-calibrated scientific hydrophone. For ease of deployment, all acoustic devices were mounted on the same custom-built stainless steel base, which weighed approximately 8 kg in air (Figure 2f). A summary of recording settings per test session is provided in Table 1, while the recording sites are described in the sections that follow.

2.2.1. Recording Site 1: Marathonisi Islet at NMPZ

The National Marine Park of Zakynthos covers 83.3 km2 of marine protected area along the south shores of Zakynthos Island (Ionian Sea, Greece). It fully encompasses Laganas Bay, a shallow water (<50 m) embayment with soft substrate dominated by unvegetated sandy beds and Posidonia oceanica meadows [42]. This MPA hosts one of the most important rookeries of the loggerhead sea turtle Caretta caretta in the Mediterranean [43,44], but is also subjected to severe anthropogenic pressures due to the recreational and economic importance of the area. The sandy beaches that stretch along inner Laganas Bay are heavily visited during summer, while nearshore infrastructure and coastal sites of high aesthetic value support a thriving tourism industry that peaks from June to August [45]. Leisure boat traffic is substantial during this season, and includes rigid inflatables, speedboat rentals, and hard-hulled eco-tourism boats that mostly launch from the ports of Limni Keriou and Agios Sostis (Figure 2b). The marine part of NMPZ is divided into three major management zones (A, B, C) and a peripheral (buffer) zone characterized by varying levels of protection and restrictions of human activities [23]. Zone A, at the eastern part of Laganas Bay, is a no-access area from May to October, while summer boat traffic (without anchoring) is permitted in zone B under a maximum speed limit of 6 knots. Zone C shares the rules of zone B, but boat anchoring is permitted year-round.
This zoning scheme keeps most speedboats away from the key nesting beaches of C. caretta at East Laganas Bay, but channels them near Marathonisi Islet and the rocky shores of Southwest Zakynthos. To investigate the performance of our custom-made hydrophones in monitoring speedboat traffic in high-use coastal waters, a test recording session was conducted near Marathonisi Islet on 26-06-2025 (Figure 2b, inset). Using an anchored small boat, the acoustic station was positioned on the seafloor at 3 m depth and recorded from 11:20 to 14:20 local time (Table 1). Concurrent visual observations were also conducted by the researcher on site, including boat distance between the acoustic station and the speedboat at their nearest point, boat direction, and perceived speed. Leisure marine traffic was dense throughout the recording period, and the distance between the acoustic station and passing speedboats ranged from a few meters to over 300 m.

2.2.2. Recording Site 2: Agrilia

A boat-based recording was carried out on 08-08-2025 in the vicinity of an aquaculture facility at Agrilia, Southeast Lesvos, in an effort to record the sounds produced by bottlenose dolphins (Tursiops truncatus) that frequent these waters [46]. The survey boat was anchored 200 m east of the aquaculture net pens (Figure 2d), and the acoustic station was lowered off the stationary boat to a depth of 7 m (Table 1). The recording started at 07:20 local time and was stopped after one hour due to worsening weather conditions. Although dolphins were neither sighted nor recorded, this fieldwork session captured the passage of a 195 m long ferry boat, northbound to Mytilene port. At its nearest point to the research boat, the distance between the ferry and the acoustic station was approximately 2 km.

2.2.3. Recording Site 3: Mytilene Port

A test recording was conducted at the port of Mytilene (Figure 2e) on 10-06-2025, focused on inboard vessels. From 17:40 to 18:10 local time, the acoustic station was deployed off the pier at 4 m depth (resting on the seafloor) and recorded the scheduled departure of a passenger boat (40 m in length) that travels daily between Mytilene and Ayvalik (Turkey). Recording settings for this session are listed in Table 1.

2.2.4. Recording Site 4: Villa

The coastal underwater soundscape of the Villa site (Figure 2c) was recorded for 34.3 consecutive hours between 14 and 15 August 2025, starting at 13:10 local time. As reported by the local diving center that frequently visits this site, the rocky reefs and Posidonia oceanica patches of Villa host several soniferous fish, such as the brown meagre, Sciaena umbra [47], the dusky grouper, Epinephelus marginatus [48], and various bottom-dwelling Scorpaenidae [49]. The acoustic station was fixed to the rocky substrate at a depth of 6 m (Figure 2f), while the handheld recorders were placed in a weatherproof case secured outside the seawater. Recording settings for this session are provided in Table 1.

2.3. Acoustic Data Processing

All acoustic recorders used in this study stored data in 16-bit WAV files, albeit with different file naming schemes and file storage lengths. For each test site, the initial preprocessing step consisted of manually synchronizing the concurrent recordings across all hydrophones, using the Raven Pro v1.6.5 sound analysis software [50]. The waveforms were visualized as separate channels in Raven Pro and were manually aligned in time using distinct audio marks (waveform peaks) that were added to the recording by the researcher on site. These marks were created by repeatedly hitting the steel station base with a metallic object in a rhythmic manner (both before deployment and after retrieval). The acoustic data files were cropped properly and renamed according to the SNAP file naming scheme (yyyymmdd_hhmmss), resulting in three audio data sets per recording site of identical timestamps and total duration. No filtering, resampling, or gain adjustments were applied to the raw data.
The synchronized acoustic series were then transformed by a fast Fourier transform (FFT) in Raven Pro, and the resulting spectrograms were visually and aurally inspected to obtain an understanding of the dataset contents. Sounds of interest were manually annotated, and audio segments needing further processing were accordingly marked. For the Marathonisi recording, a detailed analysis was performed in Raven Pro to manually mark all unique speedboat instances identified in the spectrograms, informed by the on-site visual observation log that recorded their vessel type and passage timestamp. Notwithstanding overlaps due to dense traffic, for each speedboat instance identified on the spectrogram’s time-frequency grid, a rectangular selection box was drawn that encompassed the sound of interest. The lower and upper frequency limits of the selection box were fixed at 30 Hz and 8 kHz, respectively, whereas the start and end time of the box defined the respective limits on the time axis. The following parameters were then extracted for each selection: 90% duration, dt90% = t95% - t5% (s), where t5% and t95% are the points in time that define the first and last 5% of the sound’s energy, respectively; peak frequency, fpeak (Hz); center frequency, f50% (Hz), defined as the frequency that splits the annotation box into two parts of equal energy; 90% bandwidth, Bw90% = f95% - f5% (Hz), and interquartile bandwidth, Bw50% = f75% - f25% (Hz), where f5%, f25%, f75%, and f95% are the frequencies that contribute to the first 5%, 25%, 75% and 95% of the sound’s energy, respectively. All aforementioned descriptors are standard outputs of the Raven Pro software. Subsequently, all speedboat selections were exported as separate WAVs, and the PAMGuide software [51] was used to compute their power spectral density (PSD).
To visually summarize the important contributors to the underwater soundscape over the 34.3-hour recording at Villa, the PAMGuide software and custom MATLAB scripts were used to produce long-term spectral average (LTSA) plots with 30 s averaging window. Root-mean-square (RMS) noise levels at 1/3-octave bands (TOLs) were also computed in PAMGuide for the Mytilene port and Agrilia sites. All spectrograms, PSD computations, TOLs, and LTSAs were produced in relative dB units (uncalibrated) for the custom-made Nemo hydrophones, while calibration data for the SNAP device were: 2 dB gain, clip level (peak-to-peak) 1.58 V, and hydrophone sensitivity -170 dB re 1V/μPa.

3. Results

3.1. Recordings of Recreational Boat Traffic at NMPZ

A total of 182 speedboat instances were identified during the 3-hour recording period at Marathonisi site, corresponding to a heavy traffic density of about 60 speedboat passages per hour. Figure 3 shows a typical 20-minute segment between 12:54 and 13:14 local time, concurrently recorded with the SNAP, Nemo-1, and Nemo-2 hydrophones. The synchronized spectrogram plots show that the low-cost hydrophones can adequately record speedboat vessel traffic in shallow waters, both in terms of boat counts and overall received sound pressure levels (Figure 4). When compared to the 182 instances identified in the SNAP dataset, only 8 passages could not be visually detected on the Nemo data, which corresponded to distant (>300 m) and/or slow-moving, low-frequency inboard vessels. As illustrated in the spectrogram plots and in the PSD of the recordings (Figure 3f,g), the low-cost hydrophones have poor reception abilities at frequencies below 200 Hz, are more effective in the mid-to-high frequency range (>1 kHz), and have resonance peaks around 3 kHz that saturate their spectrograms.
Received sound pressure level values at all three hydrophones were computed (Figure 4) for the same 20-minute segment presented in Figure 3. Apart from a few SPL peaks where the SNAP hydrophone picked up short duration broadband crackling sounds that were not registered by the Nemo devices (e.g. at 12:54:00, 13:03:30, 13:04:20, 13:09:40), the uncalibrated received pressure levels at both Nemo hydrophones were in good agreement with the reference SNAP. Overall, the comparative results show that even though the low-cost hydrophones have limited response at lower frequency bands, they are able to record events even at 250 Hz (Figure 4b), provided the source is a high energy sound such as a close-range passing speedboat.
Quantitative spectral descriptors (30-8000 Hz) were also calculated for the 182 speedboat instances recorded at Marathonisi (NMPZ) using SNAP and Nemo-1 hydrophones, and are displayed in Figure 5 as box plots. The Nemo-1 derived descriptors are biased towards higher frequencies, both due to the resonant frequency at 3 kHz that makes peak (fpeak) and 50% frequency (f50%) metrics centered at this hotspot, and the low sensitivity at low frequency sounds that do not contribute energy to the Nemo-1 selections. As a result, the energy-weighted bandwidth metrics have a smaller range than those of the SNAP, while all other frequency metrics of speedboats are overestimated.
Summary descriptive statistics of selected temporal and frequency metrics are reported in Table 2 for the SNAP and Nemo-1 hydrophones. The mean energy-weighted duration (dt90%) of Nemo-1 recorded speedboats is similar to that of SNAP, albeit underestimated by 2.1 s. Bandwidth (Bw90%) and 95% frequency (f95%) are the only descriptors that are comparable to the reference (SNAP) ones, while the fpeak, f50%, and f5% metrics are highly biased.

3.2. Recordings of Shipping Noise at Agrilia Site

The one-hour recording session at Agrilia captured the passage of a northbound ferry heading to Mytilene port, at an approximate distance of 2 km from the acoustic station. Excluding a small (5 m) outboard boat that was conducting regular maintenance work at the nearby aquaculture facility, no other vessel was visible in the vicinity. The concurrent recordings and corresponding noise measurements of this event are displayed in Figure 6, both for the reference, calibrated SNAP and the low-cost, uncalibrated Nemo-1 hydrophone.
The PSD spectrogram plots (Figure 6a,b) show that the event is clearly registered by the SNAP device across the full spectrum examined. The event is also discernible at the Nemo-1 spectrogram and appears overall similar to that of SNAP, although displayed more faintly (Figure 6b). The received sound pressure levels recorded by the SNAP and Nemo-1 indicate a significant difference in the frequency response of the two hydrophones. The reference SNAP device employs the HTI-96-Min hydrophone, which has a flat frequency response from 2 Hz to 30 kHz, as per the manufacturer. It therefore registers a monotonic increase in received SPL values for each progressively broader frequency band, and, when compared to the approximately 112 dB re 1 μPa baseline prior to the ferry passage (Figure 6c, 07:22–07:30), it registers a maximum 17 dB re 1 μPa increase in SPL at the closest point of the ferry. On the other hand, Nemo-1 is effectively unresponsive at low frequencies below 200 Hz, where most of the ferry’s radiated noise is, registering an overall SPL increase of only 6 dB (relative) throughout the event (Figure 6d). This is also reflected in the RMS noise measurements at 1/3 octave frequency bands (Figure 6e,f), where the Nemo-1 1/3-octave bands begin to contain acoustic energy above approximately 150 to 200 Hz.

3.3. Recordings at Mytilene Port

For the recordings conducted at the port of Mytilene, PSD spectrograms of a single inboard vessel departure (40 m in length) were computed for the SNAP, Nemo-1, and Nemo-2 hydrophones, accompanied by RMS noise measurements for all 1/3-octave frequency bands from 32 Hz to 8 kHz (Figure 7). The results show similar patterns to those observed at Agrilia and Marathonisi, i.e. the Nemo low-cost hydrophones are able to amply register the high energy event at mid to high frequencies, but perform poorly below 200 Hz and systematically peak at the resonant frequency of about 3 kHz (Figure 7e, 1/3-octave band centered at 3162 Hz).

3.4. Long-Term Recordings of the Coastal Soundscape at Villa Site

Long-term spectral average plots were produced to summarize the continuous recordings (34.3 hours) at Villa site obtained with the SNAP and Nemo-1 hydrophones (Figure 8). The diurnal cycle of crustacean sound activity at high frequencies is prominent in both plots, as are the various small-scale fishing inboard vessels that frequent these coastal waters. The Nemo-1 output is highest at the resonant frequency of 3 kHz, effectively saturating the spectrogram during the night, when crustacean snapping sounds mostly contribute to the soundscape. At lower frequencies around 300 Hz to 1 kHz (Figure 8c,d), most high-energy instances were recorded by Nemo-1, albeit signals below 200 Hz are practically absent from its spectrogram. Although the entire acoustic dataset was scrutinized for fish sounds that were regularly present in the SNAP data, especially during dusk, only three such low-frequency instances were spotted in the Nemo-1 series, corresponding to sounds produced by fish that were apparently very close to the acoustic station (Figure 9).

Discussion

Passive acoustics is a key, non-invasive tool for measuring, monitoring, and identifying the sources of sound in underwater environments [2,3,51,52]. It enables scientists to study the acoustic behavior and ecology of marine animals [53,54,55,56], the levels of anthropogenic noise [10,20,57] and its impacts on marine biota [14,15,17,58,59], and the geophysical or atmospheric processes that introduce acoustic energy underwater [60,61,62,63,64]. Collectively, these sounds contribute to the acoustic complexity of marine environments [65,66] and constitute the underwater ‘soundscape’ [67], formally defined as the “characterization of the ambient sound in terms of its spatial, temporal and frequency attributes, and the types of sources contributing to the sound field” [68]. By utilizing PAM tools over large spatiotemporal scales or in short-term studies at specific sites, researchers can monitor marine animals and their habitats and provide evidence-based assessments to policymakers and MPA managers [19,27,69,70]. Some PAM applications are particularly demanding in equipment specifications, data storage needs, calibration accuracy, deployment duration, and data collection protocols. Such applications include long-term underwater noise monitoring [20,57], deep water high frequency autonomous hydrophones [71], in situ validation of shipping noise models [72], or source level measurements of animals [35,73] and anthropogenic sound sources [74,75]. However, many other passive acoustic studies can be implemented without high-end equipment, e.g. acoustic detection of animals in the wild [39,76,77,78,79] or in controlled environments [38,80,81], portable audio-video underwater platforms [82], speedboat traffic assessment at coastal sites or MPAs [22,83], monitoring aquaculture sites [46], or bioacoustics education and citizen science projects [84].
In most cases, however, pressure resistance and waterproofing requirements render underwater scientific equipment more expensive than their terrestrial counterparts [37], and hydrophones are not an exception to this trend. There are various hydrophone types [85] and autonomous acoustic recorders [86] depending on study needs, but even the low-end devices cost from several hundred to a few thousand euros. Moreover, the hydrophone sensor is not the only apparatus required for passive acoustic data acquisition, as the recording device adds further costs that can, in total, hinder initiatives with limited budgets. The possibility of losing or damaging such expensive equipment in the field can also restrict operations, while the logistics and costs of deploying and maintaining multiple acoustic stations across large spatial scales is always a consideration in PAM applications. Thus, low-budget and/or large-scale initiatives particularly benefit from inexpensive passive acoustic devices that can support broad monitoring of underwater soundscapes. This potential is especially relevant for citizen science projects, where resources should be expanded not only to cover broad areas but also to engage large numbers of participants.
To this end, we have developed and experimentally assessed a low-cost passive acoustic toolkit within the scope of the NEMO-Tools project, aiming to freely distribute custom-made hydrophones coupled with low-budget recorders as a complete acoustic sampling toolkit for citizen scientists. This will enable the collection of large amounts of passive acoustic data through the active involvement of citizens and the launch of multiple monitoring initiatives, while also promoting acoustic education and supporting research in schools and science projects with limited resources. Our proposed toolkit has a total cost of approximately 50 € (including the handheld recorder), and, taking into account its limitations, it can serve as an effective alternative to high-end commercially available equipment.
The in situ field tests at four sites demonstrated that Nemo hydrophones showed mechanical endurance, produced consistent-quality recordings, and registered most sounds detected by their scientific counterpart, apart from some low-intensity or low-frequency events. Specifically, during the Marathonisi deployment at NPMZ, both Nemo hydrophones successfully characterized vessel traffic inside an MPA frequented by recreational speedboats, in high agreement with the SNAP reference hydrophone (174 clearly identified boat instances out of 182 detected by SNAP). Notwithstanding the resonant peaks at 3 kHz and poor sensitivity below 200 Hz, the spectral structure and energy distribution of speedboat events were preserved (Figure 3d,e) at frequencies up to 24 kHz (Figure 3c). At the other test sites, anthropogenic sound sources were also adequately identified (Figure 4, Figure 7, Figure 8), with the exception of lower frequency bands from distant sources (Figure 6f). The long-term deployment at Villa also showed that the low-cost Nemo hydrophones can be used for continuous recordings over multiple days and were able to identify most contributors to the coastal soundscape, even in the time-averaged LTSA plots (Figure 8).
However, all field evaluations highlighted clear performance limitations of the Nemo hydrophones for low-frequency events. Low intensity fish sounds that are typically below 1 kHz were not recorded by Nemo-1 at Villa (Figure 9a,b), while the eight missed vessel passages at Marathonisi (NPMZ) were from distant (>300 m) inboard vessels. Moreover, all shipping noise TOLs below 200 Hz were underestimated because of the poor sensitivity of the Nemo PZ sensor at low frequencies, both in the close-range recording at Mytilene port (Figure 7e) and in the distant ferry at Agrilia (Figure 6f). Another downside of the PZ sensor used was its strong resonant frequency at 3 kHz, evident in all recordings. This saturated the Nemo spectrograms and LTSAs around 2.6 to 3.1 kHz, and introduced systematic bias in most spectral descriptors and noise TOLs. Lastly, the single disk-shaped acoustic sensor used renders the Nemo hydrophones quite directional. Early ad-hoc tests during construction showed that they performed better when directed towards the sound source. In our current design, the PZ housing trapped a small air pocket, which in combination with the brass pipe fitting caused the unit to align nearly parallel with the sea surface when suspended by its audio cable. This orientation is actually advantageous for many use cases, since it points to the water column rather than the seafloor, but refining the design for consistent orientation in drop-off deployments would improve reliability.
Future upgrades of the Nemo hydrophones should focus on mitigating these issues and enhancing operational capabilities. We plan to experiment with multiple piezoelectric elements of different diameters in the sensor design to improve low-frequency response and reduce blind spots attributed to directionality. Our current design was kept simple (relying on the recorder’s built-in gain options), but incorporating a dedicated inexpensive preamplifier circuit could significantly boost the signal-to-noise ratio [38]. A compensating filter could also help mitigate mid-frequency resonance peaks. Additionally, a small low-cost array could enable rudimentary localization of sound sources (through time-of-arrival differences and a multi-channel recorder) or improve detection of specific events through cross-correlation of signals. Cetacean recordings will also be conducted, given the good performance of the Nemo units at high frequencies up to 24 kHz, while calibration of an improved unit should also be pursued [39].
Overall, the Nemo hydrophones tested herein represent a viable alternative for large-scale monitoring efforts, though they cannot match the bandwidth, sensitivity, and dynamic range of professional scientific hydrophones. Despite limitations, the advantage of an easily replaceable inexpensive device is that researchers can afford to deploy many units simultaneously, covering multiple sites or larger areas. This trade-off between quality and quantity could actually be an advantage in certain scenarios; for example large-scale, lower-resolution datasets could be highly effective for detecting broad spatial and temporal patterns of underwater noise that might otherwise go unnoticed in smaller, high-precision studies; while even if lower in resolution, could allow researchers to compare seasonal trends in human uses across different areas and regions. In conclusion, our study demonstrates that a carefully designed, inexpensive hydrophone toolkit can greatly augment passive acoustic monitoring. By empowering citizen scientists and resource-limited programs, a far greater volume of data on underwater soundscapes can be collected, ultimately supporting better-informed management of noise in marine protected areas and beyond.

Author Contributions

Conceptualization, V.G., V.T., A.D.M. and S.K.; methodology, V.G., V.T., and S.K.; software, V.T.; validation, V.G., V.T., A.D.M. and S.K.; formal analysis, V.G. and V.T.; investigation, V.G. and V.T.; data curation, V.G. and V.T.; writing—original draft preparation, V.G., V.T. and S.K.; writing—review and editing, V.G., V.T., A.D.M. and S.K.; visualization, V.G. and V.T.; supervision, V.T.; project administration, A.D.M. and S.K.; funding acquisition, A.D.M. and S.K. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the project NEMO-Tools (next-generation monitoring and mapping tools to assess marine ecosystems and biodiversity) carried out within the framework of the National Recovery and Resilience Plan Greece 2.0, funded by the European Union—NextGenerationEU (implementation body: HFRI)—project No: 16035. Views and opinions expressed are, however, those of the beneficiaries only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

We thank Olympos Andreadis for his help during fieldwork at Agrilia, and Christos Katsoupis and Thodoros Vavylis from Lesvos Diving Center for providing in kind SCUBA expertise and boat assets that made the Villa recordings possible. Charis Dimitriadis from NMPZ is also thanked for his assistance during the Zakynthos fieldwork.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
DIY Do-it-yourself
FFT Fast Fourier transform
IQR Interquartile range
LTSA Long term spectral average
MPA Marine protected area
MSFD Marine Strategy Framework Directive
NMPZ National Marine Park of Zakynthos
PAM Passive acoustic monitoring
PSD Power spectral density
PVC Polyvinyl chloride
PZ Piezoelectric
RMS Root-mean-square
SD Standard deviation
SPL Sound pressure level

Appendix A

Appendix A.1

Table A1. List of components used for the construction of the Nemo hydrophones; reusable components across multiple units are marked with an asterisk (*).
Table A1. List of components used for the construction of the Nemo hydrophones; reusable components across multiple units are marked with an asterisk (*).
Component Function Price (€)
Piezoelectric disk (35 mm) Acts as the acoustic element of the device 1.5 /unit
Audio cable (10 m) Connects the PZ disk to the recording device 5 /unit
⌀60 mm plexiglass disk (4 mm) Is attached to the PZ disk and acts as a lid to the hydrophone’s enclosure 3 /unit
PVC threaded nipple Engulfs the acoustic element (housing) 0.85 /unit
Brass pipe fitting Threaded on the PVC extension, it closes the recorder-side of the hydrophone and helps the audio cable exit the watertight enclosure. Additionally, its weight keeps the hydrophone submerged underwater 6 /unit
Heat shrink tubing * Used for sealing and abrasion resistance at the point where the audio cable exits the enclosure 0.15 /m
Sikaflex-291i * Used for sealing the front and back side of the hydrophone 12 /300 ml
Liquid teflon* Used for sealing the connection between the brass fitting and the PVC thread 11 /100 ml
Teflon tape * Used for sealing the connection between the brass fitting and the PVC thread 0.5 /10 m
Cyanoacrylate glue * Used for attaching the PZ disk on the plexiglass disk, and for attaching the plexiglass disk on the PVC extension 2.5 /unit

References

  1. Urick, R.J. Principles of Underwater Sound; McGraw-Hill: New York, NY, USA, 1983; p. 423. [Google Scholar]
  2. Montgomery, J.C.; Radford, C.A. Marine bioacoustics. Curr. Biol. 2017, 27, R502–R507. [Google Scholar] [CrossRef] [PubMed]
  3. Au, W.W.L.; Hastings, M.C. Principles of Marine Bioacoustics; Springer-Verlag: New York, NY, USA, 2008; p. 679. [Google Scholar]
  4. Mann, D.A.; Hawkins, A.D.; Jech, J.M. Active and passive acoustics to locate and study fish. In Fish Bioacoustics; Webb, J.F., Fay, R.R., Popper, A.N., Eds.; Springer Handbook of Auditory Research; Springer-Verlag: New York, NY, USA, 2008; pp. 279–309. [Google Scholar]
  5. Amorim, M.C.P. Diversity of sound production in fish. Commun. Fishes 2006, 1, 71–104. [Google Scholar]
  6. Moulton, J. M.; McCauley, R. D.; Cato, D. H.; McDonald, M. A.; Jenner, C. M.; Jenner, M. N.; Jarman, W. M.; Mellinger, D. K.; Dunshea, G.; McCabe, K. A.; Noad, M. J.; Paton, D.; Dunlop, R. A.; Lanyon, J. M.; Lambertsen, R. H.; Morrissey, R. P.; Gales, N. J.; Simmonds, M. P.; McCauley, R. D. The acoustics and acoustic behavior of the California spiny lobster, Panulirus interruptus. J. Acoust. Soc. Am. 2009, 125, 1783–1791. [Google Scholar] [CrossRef]
  7. Ross, D. Mechanics of Underwater Noise; Pergamon Press: New York, NY, USA, 1976; p. 375. [Google Scholar]
  8. Andrew, R.K.; Howe, B.M.; Mercer, J.A.; Dzieciuch, M.A. Ocean ambient sound: comparing the 1960s with the 1990s for a receiver off the California coast. Acoust. Res. Lett. Online 2002, 3, 65–70. [Google Scholar] [CrossRef]
  9. Walkinshaw, H.M. Measurements of ambient noise spectra in the South Norwegian Sea. IEEE J. Ocean. Eng. 2005, 30, 262–266. [Google Scholar] [CrossRef]
  10. Hildebrand, J.A. Anthropogenic and natural sources of ambient noise in the ocean. Mar. Ecol. Prog. Ser. 2009, 395, 5–20. [Google Scholar] [CrossRef]
  11. Duarte, C. M.; Chapuis, L.; Collin, S. P.; Costa, D. P.; Devassy, R. P.; Eguiluz, V. M.; Erbe, C.; Gordon, T. A. C.; Halpern, B. S.; Harding, H. R.; Havlik, M. N.; Meekan, M.; Merchant, N. D.; Miksis-Olds, J. L.; Parsons, M.; Predragovic, M.; Radford, A. N.; Radford, C. A.; Simpson, S. D.; Slabbekoorn, H.; Staaterman, E.; Van Opzeeland, I. C.; Winderen, J.; Zhang, X.; Juanes, F. The Soundscape of the Anthropocene Ocean. Science 2021, 371, eaba4658. [Google Scholar] [CrossRef]
  12. Dahl, P.H.; Miller, J.H.; Cato, D.H.; Andrew, R.K. Underwater ambient noise. Acoust. Today 2007, 3, 23–33. [Google Scholar] [CrossRef]
  13. Hawkins, A.D.; Popper, A.N. A sound approach to assessing the impact of underwater noise on marine fishes and invertebrates. ICES J. Mar. Sci. 2017, 74, 635–651. [Google Scholar] [CrossRef]
  14. Erbe, C.; Marley, S. A.; Schoeman, R. P.; Smith, J. N.; Trigg, L. E.; Embling, C. B. The Effects of Ship Noise on Marine Mammals—A Review. Frontiers in Marine Science 2019, 6, 606. [Google Scholar] [CrossRef]
  15. Slabbekoorn, H.; Bouton, N.; van Opzeeland, I.; Coers, A.; ten Cate, C.; Popper, A. N. A Noisy Spring: The Impact of Globally Rising Underwater Sound Levels on Fish. Trends Ecol. Evol. 2010, 25, 419–427. [Google Scholar] [CrossRef]
  16. Wang, S. V.; Wrede, A.; Tremblay, N.; Beermann, J. Low-frequency noise pollution impairs burrowing activities of marine benthic invertebrates. Environmental Pollution 2022, 310, 119899. [Google Scholar] [CrossRef]
  17. Solan, M.; Hauton, C.; Godbold, J. A.; Wood, C. L.; Leighton, T. G.; White, P. Anthropogenic sources of underwater sound can modify how sediment-dwelling invertebrates mediate ecosystem properties. Sci. Rep. 2016, 6, 20540. [Google Scholar] [CrossRef]
  18. European Commission. Directive 2008/56/EC of the European Parliament and of the Council of 17 June 2008, establishing a framework for community action in the field of marine environmental policy (Marine Strategy Framework Directive). Off. J. Eur. Union 2008, L164, 19–40.
  19. Merchant, N. D.; Putland, R. L.; André, M.; Baudin, E.; Felli, M.; Slabbekoorn, H.; Dekeling, R. P. A. A decade of underwater noise research in support of the European Marine Strategy Framework Directive. Ocean Coast. Manag. 2022, 228, 106299. [Google Scholar] [CrossRef]
  20. Picciulin, M.; Petrizzo, A.; Madricardo, F.; et al. First basin scale spatial–temporal characterization of underwater sound in the Mediterranean Sea. Sci. Rep. 2023, 13, 22799. [Google Scholar] [CrossRef] [PubMed]
  21. La Manna, G.; Picciulin, M.; Crobu, A.; Perretti, F.; Ronchetti, F.; Manghi, M.; Ruiu, A.; Ceccherelli, G. Marine soundscape and fish biophony of a Mediterranean marine protected area. PeerJ 2021, 9, e12551. [Google Scholar] [CrossRef] [PubMed]
  22. Corrias, V.; De Lucia, G.A.; Filiciotto, F.; Ronchetti, F.; Manghi, M.; Ruiu, A.; Ceccherelli, G. Marine soundscape and its temporal acoustic characterisation in the Gulf of Oristano, Sardinia (Western Mediterranean Sea). Mediterr. Mar. Sci. 2023, 24, 1–15. [Google Scholar] [CrossRef]
  23. Dimitriadis, C.; Sini, M.; Trygonis, V.; Gerovasileiou, V.; Sourbès, L.; Koutsoubas, D. Assessment of fish communities in a Mediterranean MPA: Can a seasonal no-take zone provide effective protection? Estuarine, Coastal and Shelf Science 2018, 207, 106299. [Google Scholar] [CrossRef]
  24. Lester, S. E.; Halpern, B. S. Biological responses in marine no-take reserves versus partially protected areas. Mar. Ecol. Prog. Ser. 2008, 367, 49–56. [Google Scholar] [CrossRef]
  25. Buscaino, G.; Ceraulo, M.; Pieretti, N.; Corrias, V.; Farina, A.; Filiciotto, F.; Maccarrone, V.; Grammauta, R.; Caruso, F.; Giuseppe, A.; Mazzola, S. Temporal patterns in the soundscape of the shallow waters of a Mediterranean marine protected area. Sci. Rep. 2016, 6, 34230. [Google Scholar] [CrossRef] [PubMed]
  26. Wilson, L. Rethinking the design of marine protected areas in coastal habitats. Mar. Pollut. Bull. 2025, 213, 117642. [Google Scholar] [CrossRef] [PubMed]
  27. McKenna, M. F.; Rowell, T. J.; Margolina, T.; Baumann-Pickering, S.; Solsona-Berga, A.; Adams, J. D.; Joseph, J.; Kim, E. B.; Kok, A. C. M.; Kügler, A.; Lammers, M. O.; Merkens, K.; Reeves, L. P.; Southall, B. L.; Stimpert, A. K.; Barkowski, J.; Thompson, M. A.; Van Parijs, S. M.; Wall, C. C.; Zang, E. J.; Hatch, L. T. Understanding vessel noise across a network of marine protected areas. Environ. Monit. Assess. 2024, 196, 369. [Google Scholar] [CrossRef]
  28. Haver, S. M.; Fournet, M. E. H.; Dziak, R. P.; Gabriele, C.; Gedamke, J.; Hatch, L. T. Comparing the underwater soundscapes of four U.S. National Parks and Marine Sanctuaries. Front. Mar. Sci. 2019, 6, 500. [Google Scholar] [CrossRef]
  29. McCordic, J. A.; DeAngelis, A. I.; Kline, L. R.; McBride, C.; Rodgers, G. G.; Rowell, T. J.; Smith, J.; Stanley, J. A.; Stokoe, A.; Van Parijs, S. M. Biological sound sources drive soundscape characteristics of two Australian marine parks. Front. Mar. Sci. 2021, 8, 669412. [Google Scholar] [CrossRef]
  30. Mellinger, D.K.; Stafford, K.M.; Moore, S.E.; Dziak, R.P.; Matsumoto, H. An overview of fixed passive acoustic observation methods for cetaceans. Oceanography 2007, 20, 36–45. [Google Scholar] [CrossRef]
  31. Širović, A.; Cutter, G. R.; Butler, J. L.; Demer, D. A. Rockfish sounds and their potential use for population monitoring in the Southern California Bight. ICES J. Mar. Sci. 2009, 66, 981–990. [Google Scholar] [CrossRef]
  32. Heenehan, H. L.; Van Parijs, S. M.; Bejder, L.; Tyne, J. A.; Southall, B. L.; Southall, H.; Johnston, D. W. Natural and anthropogenic events influence the soundscapes of four bays on Hawaii Island. Mar. Pollut. Bull. 2017, 124, 9–20. [Google Scholar] [CrossRef]
  33. Awbery, T.; Akkaya, A.; Lyne, P.; Rudd, L.; Hoogenstrijd, G.; Nedelcu, M.; Kniha, D.; Erdoğan, M.A.; Persad, C.; Amaha Öztürk, A.; Öztürk, B. Spatial Distribution and Encounter Rates of Delphinids and Deep Diving Cetaceans in the Eastern Mediterranean Sea of Turkey and the Extent of Overlap With Areas of Dense Marine Traffic. Front. Mar. Sci. 2022, 9, 860242. [Google Scholar] [CrossRef]
  34. Diogou, N.; Klinck, H.; Frantzis, A.; Nystuen, J. A.; Papathanassiou, E.; Katsanevakis, S. Year-round acoustic presence of sperm whales (Physeter macrocephalus) and baseline ambient ocean sound levels in the Greek Seas. Mediterr. Mar. Sci. 2019, 20, 18769. [Google Scholar] [CrossRef]
  35. Trygonis, C.; Gerstein, E.; Moir, J.; McCulloch, S. Vocalization characteristics of North Atlantic right whale surface active groups in the calving habitat, southeastern United States. J. Acoust. Soc. Am. 2013, 134, 4518–4531. [Google Scholar] [CrossRef] [PubMed]
  36. Laran, S.; Drouot-Dulau, V. Seasonal variation of striped dolphins, fin- and sperm whales’ abundance in the Ligurian Sea (Mediterranean Sea). J. Mar. Biol. Assoc. U.K. 2007, 87, 345–352. [Google Scholar] [CrossRef]
  37. Lamont, T.A.C. HydroMoth: Testing a prototype low-cost acoustic recorder for monitoring aquatic soundscapes. Remote Sens. Ecol. Conserv. 2022, 8, e249. [Google Scholar] [CrossRef]
  38. De Marco, R.; Di Nardo, F.; Lucchetti, A.; et al. The development of a low-cost hydrophone for passive acoustic monitoring of dolphin’s vocalizations. Remote Sens. 2023, 15, 1946. [Google Scholar] [CrossRef]
  39. Romero Vivas, E.; León López, B. Construction, calibration, and field test of a home-made, low-cost hydrophone system for cetacean acoustic research. In Proceedings of the 160th Meeting of the Acoustical Society of America, Cancun, Mexico, 15–19 November 2010; Volume 11, p. 1. [Google Scholar]
  40. Galanos, V.; Trygonis, V. Construction of low-cost hydrophones using off-the-shelf components. In Proceedings of the 4th International Congress on Applied Ichthyology, Oceanography & Aquatic Environment (HydroMediT), Mytilene, Lesvos, Greece, 4–6 November 2021; pp. 547–548. [Google Scholar]
  41. Goodson, A.D.; Lepper, P. A simple hydrophone monitor for cetacean acoustics. Loughborough University 2021.
  42. Pasqualini, V.; Pergent-Martini, C.; Pergent, G.; Agreil, M.; Skoufas, G.; Sourbes, L.; Tsirika, A. Use of SPOT 5 for mapping seagrasses: An application to Posidonia oceanica. Remote Sens. Environ. 2005, 94, 39–45. [Google Scholar] [CrossRef]
  43. Karavas, N.; Georghiou, K.; Arianoutsou, M.; Dimopoulos, D. Vegetation and sand characteristics influencing nesting activity of Caretta caretta on Sekania beach. Biol. Conserv. 2005, 121, 177–188. [Google Scholar] [CrossRef]
  44. Margaritoulis, D. Nesting activity and reproductive output of loggerhead sea turtles, Caretta caretta, over 19 seasons (1984–2002) at Laganas Bay, Zakynthos, Greece: The largest rookery in the Mediterranean. Chelonian Conserv. Biol. 2005, 4, 916–929. [Google Scholar]
  45. Togridou, A.; Hovardas, T.; Pantis, J.D. Determinants of visitors’ willingness to pay for the National Marine Park of Zakynthos, Greece. Ecol. Econ. 2006, 60, 308–319. [Google Scholar] [CrossRef]
  46. Kyriakou, K.; Katsanevakis, S.; Trygonis, V. Quantitative analysis of the acoustic repertoire of free-ranging bottlenose dolphins (Tursiops truncatus) in N Aegean, Greece, recorded in the vicinity of aquaculture net pens. In Proceedings of the 14th International Congress on the Zoogeography and Ecology of Greece and Adjacent Regions (ICZEGAR), Thessaloniki, Greece, 27–30 June 2019; p. 96. [Google Scholar]
  47. Picciulin, M.; Calcagno, G.; Sebastianutto, L.; Bonacito, C.; Codarin, A.; Costantini, M.; Ferrero, E.A.; Hawkins, A.D. Diagnostics of nocturnal calls of Sciaena umbra (L., fam. Sciaenidae) in a nearshore Mediterranean marine reserve. Bioacoustics 2013, 22, 109–120. [Google Scholar] [CrossRef]
  48. Bertucci, F.; Lejeune, P.; Payrot, J.; Parmentier, E. Sound production by dusky grouper Epinephelus marginatus at spawning aggregation sites. J. Fish Biol. 2015, 87, 400–421. [Google Scholar] [CrossRef]
  49. Bolgan, M.; Soulard, J.; Di Iorio, L.; Gervaise, C.; Lejeune, P.; Gobert, S.; Parmentier, E. Sea chordophones make the mysterious /Kwa/ sound: identification of the emitter of the dominant fish sound in Mediterranean seagrass meadows. J. Exp. Biol. 2019, 222, jeb196931. [Google Scholar] [CrossRef]
  50. K. Lisa Yang Center for Conservation Bioacoustics. Raven Pro: Interactive sound analysis software, Version 1.6.4; 2023.
  51. Merchant, N. D.; Fristrup, K. M.; Johnson, M. P.; Tyack, P. L.; Witt, M. J.; Blondel, P.; Parks, S. E. Measuring acoustic habitats. Methods Ecol. Evol. 2015, 6, 257–265. [Google Scholar] [CrossRef]
  52. Van Parijs, S.M.; Clark, C.W.; Sousa-Lima, R.S.; Parks, S.E.; Rankin, S.; Risch, D.; Van Opzeeland, I.C. Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales. Mar. Ecol. Prog. Ser. 2009, 395, 21–36. [Google Scholar] [CrossRef]
  53. Tyack, P.L.; Clark, C.W. Communication and acoustical behavior in dolphins and whales. In Hearing by Whales and Dolphins; Au, W.W.L., Popper, A.N., Fay, R.R., Eds.; Springer Handbook of Auditory Research; Springer-Verlag: New York, NY, USA, 2000; pp. 156–224. [Google Scholar] [CrossRef]
  54. Ladich, F. Ecology of sound communication in fishes. Fish Fish. 2019, 20, 552–563. [Google Scholar] [CrossRef]
  55. Krause, B. Bioacoustics, habitat ambience in ecological balance. Whole Earth Rev. 1987, 57, 14–18. [Google Scholar]
  56. Farina, A.; Ceraulo, M. The acoustic chorus and its ecological significance. In Ecoacoustics: The Ecological Role of Sounds; Farina, A., Gage, S.H., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2017; pp. 81–94. [Google Scholar] [CrossRef]
  57. Basan, F.; Fischer, J.-G.; Putland, R.; Brinkkemper, J.; de Jong, C. A. F.; Binnerts, B.; Norro, A.; Kühnel, D.; Ødegaard, L.-A.; Andersson, M.; Lalander, E.; Tougaard, J.; Griffiths, E. T.; Kosecka, M.; Edwards, E.; Merchant, N. D.; de Jong, K.; Robinson, S.; Wang, L.; Kinneging, N. The underwater soundscape of the North Sea. Mar. Pollut. Bull. 2024, 198, 115891. [Google Scholar] [CrossRef]
  58. Štrbenac, A. Overview of underwater anthropogenic noise, impacts on marine biodiversity and mitigation measures in the south-eastern European part of the Mediterranean, focussing on seismic surveys; Report Commissioned by OceanCare: Croatia and Switzerland, 2017; 75p.
  59. Hildebrand, J.A. Impacts of anthropogenic sound. In Marine Mammal Research: Conservation beyond Crisis; Reynolds, J.E., Perrin, W.F., Reeves, R.R., Montgomery, S., Ragen, T.J., Eds.; The Johns Hopkins University Press: Baltimore, MD, USA, 2005; pp. 101–124. [Google Scholar]
  60. Baumgartner, M.F.; Stafford, K.M.; Latha, G. Near real-time underwater passive acoustic monitoring of natural and anthropogenic sounds. In Observing the Oceans in Real Time; Venkatesan, R., Tandon, A., D’Asaro, E., Atmanand, M.A., Eds.; Springer: Cham, Switzerland, 2017; pp. 203–226. [Google Scholar] [CrossRef]
  61. Knudsen, V.O.; Alford, R.S.; Emling, J.W. Underwater ambient noise. J. Mar. Res. 1948, 7, 410–429. [Google Scholar]
  62. Wenz, G.M. Acoustic ambient noise in the ocean: Spectra and sources. J. Acoust. Soc. Am. 1962, 34, 1936–1956. [Google Scholar] [CrossRef]
  63. Cato, D.H.; Tavener, S. Ambient sea noise dependence on local, regional and geostrophic wind speeds: Implications for forecasting noise. Appl. Acoust. 1997, 51, 317–338. [Google Scholar] [CrossRef]
  64. Ma, B.B.; Nystuen, J.A.; Lien, R.-C. Prediction of underwater sound levels from rain and wind. J. Acoust. Soc. Am. 2005, 117, 3555–3565. [Google Scholar] [CrossRef]
  65. Roca, I.T.; van Opzeeland, I. Using acoustic metrics to characterize underwater acoustic biodiversity in the Southern Ocean. Remote Sens. Ecol. Conserv. 2020, 6, 262–273. [Google Scholar] [CrossRef]
  66. Minello, M. Ecoacoustic indices in marine ecosystems: A review on recent developments and applications. ICES J. Mar. Sci. 2021, 78, 3066–3074. [Google Scholar] [CrossRef]
  67. Pijanowski, B.C.; Villanueva-Rivera, L.J.; Dumyahn, S.L.; Farina, A.; Krause, B.L.; et al. Soundscape ecology: The science of sound in the landscape. Bioscience 2011, 61, 203–216. [Google Scholar] [CrossRef]
  68. International Organization for Standardization [ISO]. Underwater Acoustics – Terminology, Standard ISO 18405:2017; International Organization for Standardization: Geneva, Switzerland, 2017; pp. 1–51.
  69. Haren, A.M. Reducing noise pollution from commercial shipping in the Channel Islands National Marine Sanctuary: A case study in marine protected area management of underwater noise. J. Int. Wildl. Law Policy 2007, 10, 153–173. [Google Scholar] [CrossRef]
  70. Williams, R.; Erbe, C.; Ashe, E.; et al. Quiet(er) marine protected areas. Mar. Pollut. Bull. 2015, 100, 154–161. [Google Scholar] [CrossRef]
  71. Wiggins, S.M.; Hildebrand, J.A.; Brager, E.; Woolhiser, B. High-frequency Acoustic Recording Package (HARP) for broad-band, long-term marine mammal monitoring. In Proceedings of the 2007 Symposium on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies, Tokyo, Japan, 17–19 April 2007; IEEE: Tokyo, Japan, 2007; pp. 551–557. [Google Scholar] [CrossRef]
  72. Putland, R.L.; de Jong, C.A.F.; Binnerts, B.; Farcas, A.; Merchant, N.D. Multi-site validation of shipping noise maps using field measurements. Mar. Pollut. Bull. 2022, 179, 113733. [Google Scholar] [CrossRef] [PubMed]
  73. Janik, V.M. Source levels and the estimated active space of bottlenose dolphin (Tursiops truncatus) whistles in the Moray Firth, Scotland. J. Comp. Physiol. A 2000, 186, 673–680. [Google Scholar] [CrossRef] [PubMed]
  74. Scrimger, P.; Heitmeyer, R.M. Acoustic source-level measurements for a variety of merchant ships. J. Acoust. Soc. Am. 1991, 89, 691–699. [Google Scholar] [CrossRef]
  75. Hermannsen, L.; Tougaard, J.; Beedholm, K.; Nabe-Nielsen, J.; Madsen, P.T. Characteristics and propagation of airgun pulses in shallow water with implications for effects on small marine mammals. PLoS ONE 2015, 10, e0133436. [Google Scholar] [CrossRef]
  76. Gridley, T.; Berggren, P.; Cockcroft, V.; Janik, V.M. The acoustic repertoire of wild common bottlenose dolphins (Tursiops truncatus) in Walvis Bay, Namibia. Bioacoustics 2015, 24, 153–174. [Google Scholar] [CrossRef]
  77. Azevedo, A.F.; Monteiro-Filho, E.L.A.; Oliveira, L.R.; Costa, M.F. Characteristics of whistles from resident bottlenose dolphins (Tursiops truncatus) in the South Atlantic Ocean. J. Acoust. Soc. Am. 2007, 121, 2278–2282. [Google Scholar] [CrossRef]
  78. Brady, B.; Hedwig, D.; Trygonis, V.; Gerstein, E. Classification of Florida manatee (Trichechus manatus latirostris) vocalizations. J. Acoust. Soc. Am. 2020, 147, 1597. [Google Scholar] [CrossRef]
  79. Charrier, I.; Huetz, C.; Prévost, L.; Dendrinos, P.; Karamanlidis, A.A. First Description of the Underwater Sounds in the Mediterranean Monk Seal Monachus monachus in Greece: Towards Establishing a Vocal Repertoire. Animals 2023, 13, 1048. [Google Scholar] [CrossRef]
  80. Macchi, A.C.; Menna, B.V.; Cabreira, A.G.; Rodriguez, D.H.; Saubidet, A.; Olguin, J.; Giardino, G.V. Validation of low-cost hydrophones for acoustic detection of bottlenose dolphins (Tursiops truncatus truncatus) in a controlled environment. Mar. Fish. Sci. (MAFIS) 2025, 38, 11005. [Google Scholar] [CrossRef]
  81. Brady, B.A.; Ramos, E.A.; Lasala, J.A.; Ferrell, Z.N.R.; Kaney, N.A.; Martinez, E.; Areolla Illescas, M.R.; Arena, J. Captive male and female West Indian manatees display variable vocal and behavioral responses to playbacks of conspecifics. Mar. Mammal Sci. 2025, 41, e70038. [Google Scholar] [CrossRef]
  82. Mouy, X.; Black, M.; Cox, K.; Qualley, J.; Dosso, S.; Juanes, F. Identification of fish sounds in the wild using a set of portable audio-video arrays. Methods Ecol. Evol. 2023, 14, 1234–1245. [Google Scholar] [CrossRef]
  83. Pollara, A.; Sutin, A.; Salloum, H. Passive acoustic methods of small boat detection, tracking and classification. In Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST 2017), Waltham, MA, USA, 25–26 April 2017; pp. 1–6. [Google Scholar] [CrossRef]
  84. Chapuis, L.; Burca, M.; Gridley, T.; Mouy, X.; Nath, A.; Nedelec, S.; Roberts, M.; Seeyave, S.; Theriault, J.; Urban, E.; Williams, R.; Zimmer, W. Development of a low-cost hydrophone for research, education, and community science. In Proceedings of the One Ocean Science Congress 2025, Nice, France, 3–6 June 2025. Article OOS2025-71. [Google Scholar] [CrossRef]
  85. Saheban, H.; Kordrostami, Z. Hydrophones, fundamental features, design considerations, and various structures: A review. Sensors Actuators A Phys. 2021, 329, 112790. [Google Scholar] [CrossRef]
  86. Sousa-Lima, R.; Fernandes, D.P. A review and inventory of fixed autonomous recorders for passive acoustic monitoring of marine mammals: 2013 state-of-the-industry. Aquat. Mamm. 2013, 39, 1–9. [Google Scholar] [CrossRef]
Figure 1. Construction steps of the low-cost hydrophones developed in this study: (a) Coupling of the piezoelectric element onto the plexiglass disk using cyanoacrylate glue; (b) The resulting acoustic element after the glueing process; (c) A hydrophone production batch before water sealing; (d) 3D model of the low-cost hydrophone, rendered in the open-source Blender software (v. 4.5.2 LTS); the annotations (i, ii, iii) mark points where water sealants were applied.
Figure 1. Construction steps of the low-cost hydrophones developed in this study: (a) Coupling of the piezoelectric element onto the plexiglass disk using cyanoacrylate glue; (b) The resulting acoustic element after the glueing process; (c) A hydrophone production batch before water sealing; (d) 3D model of the low-cost hydrophone, rendered in the open-source Blender software (v. 4.5.2 LTS); the annotations (i, ii, iii) mark points where water sealants were applied.
Preprints 176791 g001
Figure 2. (a) Map of Greece, showing the Zakynthos and Lesvos islands where experimental recordings took place; (b) The Marathonisi recording site inside the National Marine Park of Zakynthos; (ce) The recording sites of Agrilia, Mytilene port, and Villa at Lesvos Island; (f) Underwater images of the acoustic station deployed at Villa; an extra (third) custom-made hydrophone visible in the inset image was for redundancy and not used herein.
Figure 2. (a) Map of Greece, showing the Zakynthos and Lesvos islands where experimental recordings took place; (b) The Marathonisi recording site inside the National Marine Park of Zakynthos; (ce) The recording sites of Agrilia, Mytilene port, and Villa at Lesvos Island; (f) Underwater images of the acoustic station deployed at Villa; an extra (third) custom-made hydrophone visible in the inset image was for redundancy and not used herein.
Preprints 176791 g002
Figure 3. Spectral characteristics of speedboat traffic in the vicinity of the acoustic station at Marathonisi (NMPZ), as recorded with the SNAP and the Nemo custom-made hydrophones (12:54–13:14 local time); the red boxes indicate the speedboat instance shown in panels (d) and (e); (a) 20 minute-long power spectral density (PSD) spectrogram produced from the SNAP data (NFFT = 4096 samples, Hamming window, 50% overlap); (bc) As in (a), but recorded with the Nemo-1 (b) and Nemo-2 (c) hydrophones (NFFT is 2048 and 4096 samples, respectively, Hamming window, 50% overlap); (de) Instance of a single speedboat recorded with the SNAP (d) and Nemo-1 hydrophone (e); (f) Spectral probability density plot (0.03–8 kHz) and corresponding root-mean-square (RMS) levels of the PSD for the entire SNAP recording shown in (a); (g) As in (f), but produced from the Nemo-1 data.
Figure 3. Spectral characteristics of speedboat traffic in the vicinity of the acoustic station at Marathonisi (NMPZ), as recorded with the SNAP and the Nemo custom-made hydrophones (12:54–13:14 local time); the red boxes indicate the speedboat instance shown in panels (d) and (e); (a) 20 minute-long power spectral density (PSD) spectrogram produced from the SNAP data (NFFT = 4096 samples, Hamming window, 50% overlap); (bc) As in (a), but recorded with the Nemo-1 (b) and Nemo-2 (c) hydrophones (NFFT is 2048 and 4096 samples, respectively, Hamming window, 50% overlap); (de) Instance of a single speedboat recorded with the SNAP (d) and Nemo-1 hydrophone (e); (f) Spectral probability density plot (0.03–8 kHz) and corresponding root-mean-square (RMS) levels of the PSD for the entire SNAP recording shown in (a); (g) As in (f), but produced from the Nemo-1 data.
Preprints 176791 g003
Figure 4. Speedboat traffic for the same 20 min-long segment presented at Figure 3, as recorded with the SNAP and the Nemo-1 hydrophones; (a) 20 minute-long power spectral density (PSD) spectrogram produced from the SNAP data, zoomed at the 0.03–1 kHz band (NFFT = 4096 samples, Hamming window, 50% overlap); (b) As in (a), but recorded with the Nemo-1 hydrophone (NFFT =2048 samples, Hamming, 50% overlap), (c) Corresponding root-mean-square (RMS) received sound pressure levels (SPL, 0.03–8 kHz); RMS window length is 1 s for all devices.
Figure 4. Speedboat traffic for the same 20 min-long segment presented at Figure 3, as recorded with the SNAP and the Nemo-1 hydrophones; (a) 20 minute-long power spectral density (PSD) spectrogram produced from the SNAP data, zoomed at the 0.03–1 kHz band (NFFT = 4096 samples, Hamming window, 50% overlap); (b) As in (a), but recorded with the Nemo-1 hydrophone (NFFT =2048 samples, Hamming, 50% overlap), (c) Corresponding root-mean-square (RMS) received sound pressure levels (SPL, 0.03–8 kHz); RMS window length is 1 s for all devices.
Preprints 176791 g004
Figure 5. Boxplot of energy-weighted bandwidth and frequency descriptors, calculated from all 182 speedboat instances (30-8000 Hz) at Marathonisi for the SNAP and Nemo-1 hydrophones. Boxes and whiskers denote the interquartile and non-outlier range, respectively, while the center marker denotes the median.
Figure 5. Boxplot of energy-weighted bandwidth and frequency descriptors, calculated from all 182 speedboat instances (30-8000 Hz) at Marathonisi for the SNAP and Nemo-1 hydrophones. Boxes and whiskers denote the interquartile and non-outlier range, respectively, while the center marker denotes the median.
Preprints 176791 g005
Figure 6. Concurrent recording of a passenger ferry boat (length: 195 m) at Agrilia site, obtained with the SNAP and Nemo-1 hydrophones; the ferry was northbound to Mytilene port and its distance to the acoustic station was approximately 2 km at the nearest point. (a) Power spectral density (PSD) spectrogram of the SNAP recording (NFFT = 16384 samples, Hamming window, 50% overlap); (b) As in (a), but for the Nemo-1 hydrophone (NFFT = 10240, Hamming window, 50% overlap); (c) Root-mean-square (RMS) received sound pressure levels (SPL) by the SNAP hydrophone, averaged over 10-second segments across different frequency bands; (d) As in (c), but for the Nemo-1 hydrophone; (e) Underwater noise measurements with the SNAP hydrophone across 1/3-octave frequency bands (0.03–2.5 kHz, RMS), computed over 10-second segments; (f) As in (e), but for the Nemo-1 hydrophone.
Figure 6. Concurrent recording of a passenger ferry boat (length: 195 m) at Agrilia site, obtained with the SNAP and Nemo-1 hydrophones; the ferry was northbound to Mytilene port and its distance to the acoustic station was approximately 2 km at the nearest point. (a) Power spectral density (PSD) spectrogram of the SNAP recording (NFFT = 16384 samples, Hamming window, 50% overlap); (b) As in (a), but for the Nemo-1 hydrophone (NFFT = 10240, Hamming window, 50% overlap); (c) Root-mean-square (RMS) received sound pressure levels (SPL) by the SNAP hydrophone, averaged over 10-second segments across different frequency bands; (d) As in (c), but for the Nemo-1 hydrophone; (e) Underwater noise measurements with the SNAP hydrophone across 1/3-octave frequency bands (0.03–2.5 kHz, RMS), computed over 10-second segments; (f) As in (e), but for the Nemo-1 hydrophone.
Preprints 176791 g006
Figure 7. PSD spectrograms of a single inboard passenger vessel departure from the port of Mytilene, eastbound towards the port of Ayvalik (Turkey), accompanied by RMS measurements of ambient noise levels across 1/3-octave bands from 32 Hz up to 8 kHz; the white line in panel (a) denotes the 8 kHz upper frequency limit of the Nemo-1 handheld recorder; (a) Spectral density (PSD) spectrogram produced from the SNAP data (NFFT = 8192 samples, Hamming window, 50% overlap); (bc) As in (a), but recorded with the Nemo-1 and Nemo-2 hydrophones (NFFT is 2048 and 8192 samples, respectively, Hamming, 50% overlap); (df) Boxplots of 1/3-octave RMS noise measurements for the SNAP (d) and Nemo-1 (f) hydrophones; lines denote the median, boxes and whiskers show the interquartile and non-outlier range, respectively.
Figure 7. PSD spectrograms of a single inboard passenger vessel departure from the port of Mytilene, eastbound towards the port of Ayvalik (Turkey), accompanied by RMS measurements of ambient noise levels across 1/3-octave bands from 32 Hz up to 8 kHz; the white line in panel (a) denotes the 8 kHz upper frequency limit of the Nemo-1 handheld recorder; (a) Spectral density (PSD) spectrogram produced from the SNAP data (NFFT = 8192 samples, Hamming window, 50% overlap); (bc) As in (a), but recorded with the Nemo-1 and Nemo-2 hydrophones (NFFT is 2048 and 8192 samples, respectively, Hamming, 50% overlap); (df) Boxplots of 1/3-octave RMS noise measurements for the SNAP (d) and Nemo-1 (f) hydrophones; lines denote the median, boxes and whiskers show the interquartile and non-outlier range, respectively.
Preprints 176791 g007
Figure 8. Long-term spectral average plots (LTSA, 30 s averaging window) for the 34.3 hours of continuous recordings at Villa site, marked with color-coded annotations of main contributors to the soundscape; (a) LTSA (NFFT = 4096 samples) for the reference SNAP, cropped to a maximum frequency of 8 kHz; (b) As in (a), but for Nemo-1 hydrophone (NFFT = 1024); (c–d) As in (a–b), but cropped to the low-frequency spectrum ≤1 kHz; time is labelled as day/month hour:minute.
Figure 8. Long-term spectral average plots (LTSA, 30 s averaging window) for the 34.3 hours of continuous recordings at Villa site, marked with color-coded annotations of main contributors to the soundscape; (a) LTSA (NFFT = 4096 samples) for the reference SNAP, cropped to a maximum frequency of 8 kHz; (b) As in (a), but for Nemo-1 hydrophone (NFFT = 1024); (c–d) As in (a–b), but cropped to the low-frequency spectrum ≤1 kHz; time is labelled as day/month hour:minute.
Preprints 176791 g008
Figure 9. (a) Spectrogram of fish sounds recorded with the SNAP hydrophone (14-08-2025, 20:49 local time), showing the ‘kwa’ sounds (600–1200 Hz) and pulse trains (<500 Hz) associated with Scorpaena spp. and sciaenids (e.g. Sciaena umbra), respectively (NFFT = 8192 samples, Hamming window, 90% overlap); (b) Concurrent recording with the Nemo-1 hydrophone of the same time segment shown in (a) (NFFT = 1024, Hamming, 50%); note the absence of all fish sounds recorded with the SNAP; (cd) Fish-derived growling sound produced in close proximity to the acoustic station, as recorded with the SNAP (c) and the Nemo-1 (d) hydrophones (14-08-2025, 18:05 local time); the sound source is likely a dusky grouper [48].
Figure 9. (a) Spectrogram of fish sounds recorded with the SNAP hydrophone (14-08-2025, 20:49 local time), showing the ‘kwa’ sounds (600–1200 Hz) and pulse trains (<500 Hz) associated with Scorpaena spp. and sciaenids (e.g. Sciaena umbra), respectively (NFFT = 8192 samples, Hamming window, 90% overlap); (b) Concurrent recording with the Nemo-1 hydrophone of the same time segment shown in (a) (NFFT = 1024, Hamming, 50%); note the absence of all fish sounds recorded with the SNAP; (cd) Fish-derived growling sound produced in close proximity to the acoustic station, as recorded with the SNAP (c) and the Nemo-1 (d) hydrophones (14-08-2025, 18:05 local time); the sound source is likely a dusky grouper [48].
Preprints 176791 g009
Table 1. Acoustic station information and recording settings per test site; all devices recorded continuously and saved the acoustic data in 16-bit uncompressed audio (WAV) format (Rt: recording duration; fs: sampling frequency). Dates are shown as dd-mm-yyyy.
Table 1. Acoustic station information and recording settings per test site; all devices recorded continuously and saved the acoustic data in 16-bit uncompressed audio (WAV) format (Rt: recording duration; fs: sampling frequency). Dates are shown as dd-mm-yyyy.
Site Coordinates Date Depth (m) 1 Rt (min) Device Recorder fs (kHz)
Marathonisi 37.68703o N
20.86630o E
26-06-2025 3 (3) 180 Nemo-1 Philips 16
Nemo-2 Tascam 48
SNAP (embedded) 48
Agrilia 39.00706o N
26.60246o E
08-08-2025 7 (35) 60 Nemo-1 Philips 16
Nemo-2 M-Audio 48
SNAP (embedded) 96
Mytilene port 39.10287o N
26.55898o E
10-06-2025 4 (4) 30 Nemo-1 Philips 16
Nemo-2 Tascam 44.1
SNAP (embedded) 48
Villa 39.01329o N
26.55154o E
14/15-08-2025 6 (6) 2060 Nemo-1 Philips 16
Nemo-2 M-Audio 44.1
SNAP (embedded) 96
1 Numbers in parentheses denote seafloor depth below the acoustic station.
Table 2. Summary of duration and frequency measurements for the 182 speedboat instances (30-8000 Hz) recorded at Marathonisi (NMPZ); frequency descriptors are rounded to the nearest integer for clarity (SD: standard deviation, IQR: interquartile range).
Table 2. Summary of duration and frequency measurements for the 182 speedboat instances (30-8000 Hz) recorded at Marathonisi (NMPZ); frequency descriptors are rounded to the nearest integer for clarity (SD: standard deviation, IQR: interquartile range).
Descriptor Statistic SNAP Nemo-1
90% Duration Mean ± SD 23.3 ± 14.1 21.2 ± 14.3
dt90% (s) Range 4.6 – 113.3 3.5 – 111.3
IQR 15.4 – 27.0 12.9 – 25.3
90% Bandwidth Mean ± SD 4467 ± 1455 5484 ± 822
Bw90% (Hz) Range 164 – 7113 2781 – 6945
IQR 3785 – 5766 5055 – 6086
95% Frequency Mean ± SD 4838 ± 1476 6155 ± 626.2
f95% (Hz) Range 305 – 7359 3797 – 7312
IQR 3949 – 5941 5812 – 6617
Peak frequency Mean ± SD 502 ± 765 2626 ± 894
fpeak (Hz) Range 35 – 4512 31 – 4289
IQR 187 – 469 2812 – 3039
Center frequency Mean ± SD 856 ± 803 2802 ± 503
f50% (Hz) Range 105 – 3375 62 – 3398
IQR 269 – 1324 2836 – 3031
5% frequency Mean ± SD 170 ± 59 671 ± 632
f5% (Hz) Range 35 – 363 31 – 2812
IQR 152 – 211 156 – 1258
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2025 MDPI (Basel, Switzerland) unless otherwise stated