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Article

Citizen Science and The University of Queensland Seismograph Stations (UQSS)—A Study of Seismic T Waves in S-W Pacific Ocean

by
Colin John Lynam
1,* and
Asanka Karunaratne
2
1
Royal Society of Queensland, P.O. Box 6021, Brisbane, QLD 4067, Australia
2
Science Department, Brisbane State High School, Brisbane, QLD 4101, Australia
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(14), 10885; https://doi.org/10.3390/su151410885
Submission received: 23 May 2023 / Revised: 24 June 2023 / Accepted: 28 June 2023 / Published: 11 July 2023
(This article belongs to the Special Issue Citizen Science and Its Role in Education for Sustainable Development)

Abstract

:
Seismologists listen to Earth’s noise as it rips apart (faulting), exudes (volcanoes) and swallows (subducts) large volumes of rock. Your mobile phone is most likely detecting such noise, right now! This paper is about one such specific noise, the T wave. It summarises an early and successful piece of citizen science, performed within The University of Queensland Seismograph Stations (UQSS) observatory, in cooperation with colleagues at CSIRO. It was designed to encourage young STEM students from Brisbane high schools to engage in “real” research, back in 1995. Bear in mind, this is a time period when science is changing considerably from analog to digital media and operational recording methods. The citizen science students used a pre-prepared decadal collection (1980–1990) of T waves, derived from the Brisbane seismograph (BRS) observatory data catalogue. BRS has been operating since 1937 and is part of the global World-Wide Seismograph Station Network (WWSSN). Fortunately, seismology is a very collaborative field. There is a lot of data analysis involved in the science of recording earthquake signals, with auxiliary definitive catalogues, observers logbooks, housing of the recordings themselves (analog and digital) and the software mediums that change over time. It equally tests housekeeping proficiency, where a maze of record-keeping problems can be encountered in a longitudinal data collection study such as this. Having completed the project report, Earthquake generated T phases on BRS Seismograph (Brisbane, Q’ld) a predictor for Tasman Sea Tsunamis? their (analog) results sat in a cupboard until recently. The project was re-analysed in 2022 for a higher-degree student, discovering a timely climate change implication for the study. The original research question has now been amplified with a brief literature review. We observe that currently in Australia, university and government earth science observatories have diminished, and in their place, public seismic networks (PSN) have evolved, either in backyard sheds or school science labs. We now additionally propose here that the level of expertise required ideally fits the role of advancing citizen science, for a real science advantage. This is already a topical citizen disaster preparedness action area, and we propose that it has applications as a possible educational strategy for citizen engagement in today’s climate emergency. In addition, we are hopeful that other researchers in oceanography will read this paper and decide to explore the ocean’s temperature rise phenomenon through the eyes of seismological observers.

1. Introduction

This story begins in 1993 and it concludes with a successful joint Commonwealth Scientific and Industrial Research Organisation (CSIRO) “Double Helix” student research project with The University of Queensland Seismograph Stations (UQSS). The scientific question that the student’s project set out to prove was: Are earthquake-generated T phases, (recorded on the Seismograms at Brisbane, Queensland (station code BRS)) also a predictor for Tasman Sea Tsunamis? The question replicates that posed in 1950–1960′s legacy literature. A “null” response was found but the data and findings were tantalising. The report was archived [1].
In 2021, the authors resurrected the data and began working with a larger digital earthquake database from the International Seismological Centre, UK. (ISC).
This review now proposes the multidisciplinary research question: Would changes in ocean temperature and salinity change the transmission velocity (celerity) of earthquake T waves? If so, how could T waves be used to measure possible changes in the ocean due to climate change?
This paper also highlights the aspirations of Education for Sustainable Development (ESD). This is the United Nations Educational, Scientific and Cultural Organization’s (UNESCO) education sector’s response to help address the urgent and dramatic challenges that the planet faces. This project, by virtue of its ability to closely monitor global ocean warming, before it reaches catastrophic levels is, therefore, supporting ESD as a means of addressing environmental, social, and economic issues in a holistic way [2].
In Europe, the implementation of the citizen science seismology connection recognizes that “It is thus crucial to train the (local and national) population enabling them to increase their preparedness for disasters and, consequently, improve society’s resilience”. The European-Mediterranean Seismological Centre (EMSC) operates a global social media earthquake reporting system (on Twitter) called @LastQuake, and is building citizen-owned instrumental capability with Quake Catcher Network (QCN).
In the USA, we see the implementation of “ShakeAlert®” that utilises the sensors in a mobile phone to both detect earthquakes (if enabled by the citizen owner) and also, give an early advance warning to threatened populations [3]. Public seismic networks (PSN) have a long history in the USA. which attracts do-it-yourself seismograph builders.
In Australia, the first major government-sponsored citizen science seismology research was the Australian Seismometers in Schools program [4], which was initially a four-year project (2011–2014) funded by the Geophysical Education Observatory component of AuScope Australian Geophysical Observing System (AGOS) funded by the Federal Government, under the Education Infrastructure Scheme. It is still operating today. The Auscope main page can be found at https://www.auscope.org.au/ (accessed on 1 April 2023). Another university-based seismic monitoring exists at the Centre for Geomechanics (UWA) which was set up as a “public seismic network” [5].
Australian Learned Societies would seem to be the only long-term operating platforms utilising naturalist volunteer activity encouraging field and remote work. There are existing citizens organised “public seismic networks”. Citizen scientists run the Seismological Association of Australia [6] which has an active instrument array in South Australia. Professional organisations such as Engineers Australia technical society, Earthquake Engineering Society (AEES), seem disinterested in engaging with volunteer citizen science, most probably because they have strict membership codes.
Raspberry Shake is a globally growing commercial seismograph business appealing to amateur Australian citizens and teachers. Their stated mission is to “become the largest publicly available streaming seismic network in every country” [7]. This commercial venture proves the growing interest of citizens in becoming amateur seismologists.
Indeed, Raspberry Shake has evoked this comment.
Although the opportunities from citizen-based seismology are many, it is the role of the scientific community to work with and ensure that accurate information and understanding of recorded signals is available to all citizen-based seismic monitoring communities. Failure to collaborate with citizen-based scientists may otherwise lead to spread of misinformation, conspiracy theories, and mistrust of scientific seismological organizations that in turn could result in increased seismic risk due to lack of knowledge in a community. With the ongoing developments in the field of seismoacoustic instrumentation, sources, and observations, future interactions between scientific experts and citizen-based seismoacoustic communities will be critical to prevent misunderstanding, especially of these complex phenomena [8].
In 1993, two Brisbane Year 12 high school students investigated this UQSS study, which was believed to be the first of its kind in Australia using earthquake sound waves to predict tsunamigenic areas in the Tasman Sea affecting eastern Australia. Ms. Lahey and Mr. Karunaratne chose the seismology project from among the topics listed with the CSIRO Student Research Scheme, a national program that allows selected senior secondary students to participate in small-scale research projects supervised by practicing scientists in research laboratories.
The 1993 UQ press reports quote Mr. Lynam (UQ Earth Sciences Senior Technical Officer) saying “The university was happy to participate in the scheme to arouse the students’ scientific research skills and foster the inquisitive excitement necessary for the potential scientists of tomorrow”. He said the project also gave the students exposure to The University of Queensland’s role as part of a worldwide earthquake monitoring network that has been operating since 1937. The UQSS recorded earthquakes on its two World Wide Standard Station Network (WWSSN) observatories located at Charters Towers (CTAO) and Mt Nebo (BRSA) in a globally cooperative venture with the U.S. Coastal and Geodetic Survey, the U.S. National Disaster Centre, and the Australian Seismological Centre (now Geosciences Australia). More recently the global supervisory role of CTBTO operates the global network whose chief focus is as a nuclear detection International Monitoring System and deterrent.
Observations of the Tasman Sea T (tertiary) wave occurrences were made routinely by observers at the UQSS observatory (non operational since 2005). They are one of nature’s fractal measurement oddities because their complexity changes with the measurement scale used. T waves can simply be described as acoustic wave energy, travelling in the Sofar layer of oceans (~1 Km depth). This oceanic phenomenon is an inversion layer interfaced by temperature, salinity, and pressure. T waves are observed in acoustic ocean bottom sensors (OBS) or on land-based seismograph recorders. Marine mammals also communicate in this ocean inversion layer medium. Its low attenuation properties transmit sound for 10,000 Km or more.
These T waves occur when a massive subduction fault movement generates earthquake energy which radiates out as seismic P waves through the earth’s inner geological structures. Sometimes (depending on refraction), such impinging seismic P waves will strike the interface between the sloping continental shelf and ocean. The refracted energy will “leak” from many points along that wavefront into a specific ocean inversion layer–the Sofar inversion layer (~1 Km depth). This energy will transmit as an acoustic sound, unattenuated, and arrive at another continental slope, refracting itself, at the correct angle, into an earthquake P wave again. Hence, the multi-refractions and mediums give rise to complex transformation algorithms that must account for temperature, salinity, geophysics, oceanography, thermometry, and possibly climate change.
Should you live near an impinging T wave-train, you may experience what you thought was a nearby earthquake [9]. Similar “sound” inversions happen in the air above oceans and are reported as “Barisal guns”. Nature is indeed both fascinating and kind to seismologists.
The UQSS pilot study initially included analysis of previously recorded earthquake T wave data and correlation with aberrations registered on tide gauges. While checking tide records held in the Queensland Department of Transport Tidal Records section, Mr. Lynam and the students coincidentally discovered a link between an Indonesian earthquake and a tsunami affecting a tide gauge in Weipa (Cape York). The T wave data, however, could not be conclusively associated with tide gauge recordings of the earthquake-generated tsunami. This confirmed a “null” research question outcome for an old theory.
The surprise outcome of the citizen science project was the collection, mapping and realisation of the travel path and velocity of T waves in the Tasman Sea. This was indeed a unique suite of geophysical data that linked subduction earthquakes and their crustal noise (land path), to a leakage transmission of energy through oceans (water path), then refracting back into a land path on continental shelves. The geographic location makes this pilot study unique in S.W Pacific geophysics. New research is also added to fascinate the reader. No conclusions are arrived at, only more potential research questions.
The potential outcome of this study is to weave a triptych of three coincident themes; Seismology science can database T wave velocity changes in oceans (being impacted by warming); Earthquake sensors and networks can easily be observed by public seismic network amateurs (citizen scientists); the urgency of climate change and earth observation needs citizen engagement to educate and ground them to stoically brace and bear the impacts. It is a schema we are aligning with sustainability.

2. Materials and Methods

2.1. Citizen Science Influences of the UQSS

Citizen science reporting has been an essential feature of the operation of the UQSS, since as far back as 1953 [10] when the then Director of UQSS, the late Dr Owen Jones and UQSS technician, Mr. A Crawfoot, built a home-made seismograph at Crawfoot’s house in Woody Point. They encouraged other “amateur seismologists” to join them and collect seismograph data for the global seismology community [11].
Even the daily UQSS observatory routine practice of collecting “felt report” data about the irregular local earthquake events, required descriptive responses from the general public who replied to mailed out Modified Mercalli questionnaire requests for felt experiences in an earthquake. Five to ten of these surveys might have been conducted each year. This macro data supplemented the lack of instrumental data [12]. In recent times, seismology is able to interface directly with the public and their electronic media usage.

2.2. Seismograph Observatory Practice for Earthquake Data Collection

The observational data used by these UQSS/CSIRO students were derived from the daily seismograms and observational bulletins, created by full-time observers. The daily routine for seismological observers is to take the seismograms from the previous 24 h and accurately:
Annotate the six charts (short period Z, N-S, E-W and long period Z, N-S, E-W) with their unique descriptors.
Provide station name, date/time ON-OFF; sensor direction; clocking error.
Methodically and chronologically pic timed events (blast. earthquake, local noise, microseism noise level) into the observers daily log of seismic phases, onset strength and direction and comments.
Telex the day’s logs of observed earthquake phase times and descriptors to the United States Geological Survey and Geosciences Australia (then BMR or AGSO), and then compile them into a weekly station bulletin publication. This was faxed to global agencies who compiled definitive catalogues of earthquake epicentres, e.g., ISC, USGS and GA, as well as the UQSS archives [13].
When the UQSS earthquake monitoring began in 1937 (UQ, Gardens Point, Brisbane) [14] all of this observational interpretation was analog, handwritten, and teletype transmitted. In about 1973–1974, the UQSS was able to digitally store observations in the central computing facility at the UQ Prentice Centre. Thus, rapid digital searching of data became possible. The advent of programable computers made this process more flexible and data re-use friendly. Prior to that observer’s earthquake phase data were typed into weekly “bulletins” and paper versions of these were bound into catalogued books.
The seismology observer makes observations about “squiggles” on the charts that may have been generated by local or teleseismic earthquakes, explosions, or nuclear blasts. These point sources (epicentres) send seismic/sound energy in radial directions, and the waveforms are transmitted quickly (3 Km/s to 8 Km/s) through the geological formations or through the oceans (~1.5 Km/s) or even into the ionosphere (infrasonically). The observer will note impulsive or emergent onsets at the date-time of the arriving P phase and then the later arriving (S phase) and maybe the more damaging surface waves (L, R phases). There are a multitude of refracted wave types recorded.
The rationale for running the first and longest Australian university continuous seismograph observatories at The University of Queensland is best described by the late Dr. Jack Webb (Director UQSS) in Cooperation and the UQ Seismograph Stations [15].

2.3. Brief Review of (BRS) Seismograph Station T Wave Historical Research Literature

Prior to the inception of this CSIRO project, the UQSS observers had become aware of a strange new type of phase (T phase) with a characteristic signature and much later arrival. The observer learned from colleagues that these T waves travelled (earth > ocean SOFAR layer > earth) and were usually detected by observatories near the ocean. The first scientific reference to the T wave is attributed to Linehan [16] (Figure 1) who documented their arrival on Caribbean seismograms, shown in Figure 1.
A study of more than 200 records of T from the Atlantic 7 has shown that in all cases the period ranges upward rather than downward from 0.5 s, being for the most part between 0.5 and 1.0. This is significant, because SOFAR propagation (SOFAR stands for sound fixing and ranging) along an axis of minimum velocity cannot explain transmission of waves of periods longer than 0.5 s carrying the greater part of the energy in T. T does not travel with the velocity of sound in water for the part of its path crossing deep water. Its oceanic velocity ranges from 1.70 km/s to 2.65 km/s, in different parts of the Atlantic (5577 to 8695 ft/s), in contrast to velocities of sound in water from 1.46 to 1.53 km/s. (4790 to 5020 ft/s). Its speed over land paths is 2.13 km/s. (6988 ft/s) [16].
Another observation at BRS (Gardens Point) occurred on 23 September1949 (Figure 2) when an event was recorded on the BRS Benioff Z (short period) sensor recorder. This event was reported to the Smithsonian Institute for Short Lived Phenomena and was later picked up by researchers as a T wave generated by the Queen Charlette Islands earthquake (Canada) and reported in a research paper [17] (Figure 3). This is an incredible distance for sound to travel in an ocean.
Other Australian references to local T wave observations are noted here. [18,19] which cite earthquake origins dating back to 1933 and detected at the Riverview Jesuit College (code RIV), near Sydney. We will refer to Greene’s prescient 1963 discussion of T waves changing velocity with depth, temperature, and salinity, later [20] from observatories in Tasmania.

2.4. A Concision of Recent Research Literature about the Relevance of T Waves

For the readers understanding, the authors now wish to rapidly traverse multidisciplinary research references that we believe define the phenomenon of the T Wave. These characteristics were not evident when we began the study in 1993 and will now highlight the potential project of longitudinal seismograph T wave observations with the phenomenon of ocean warming.
  • What are the known parameters that define a T wave in water?
Tasmanian seismologist, the late Dr. Ron Greene, made these key observations back in 1963. “The velocity of a compressional wave through seawater (salinity, 3.40~%; temperature, 0°; pressure, 1 kg/cm2) is 1448.6 m/s. Increases in the temperature, pressure, or salinity cause an increase in velocity. The rates of increase are 4.663 m/s/°C for temperature, 1.820 m/s/100 m for depth, and 0.1301 m/s percent for salinity. In the open ocean, changes in salinity are not large enough to significantly alter the velocity of the compressional wave, but changes in temperature and pressure with depth are. Figure 4 is a compilation of temperature measurements made by the R.R.5.Explorer in the Tasman Sea. Over the range in depth 0 to 1500 m, the decrease in temperature is dominant and the velocity drops from 1.51 km/s at the surface to 1.47 kru/s at 1500 m [20]”.
  • Why seismograph T waves are relevant to ocean climate change?
This excerpt shows evolving recognition of T wave research discoveries. “Nevertheless, recording T waves in the oceans has far-reaching utility for seismic studies and beyond, including tracking icebergs [21] monitoring submarine volcanic eruptions [22] and Comprehensive Nuclear Test-Ban Treaty verification [23]. Most recently, Wu et al. [24] demonstrated that decadal-scale ocean-warming trends are manifest in the differences in travel-time delays between T waves generated by repeating earthquakes” [25].
  • Are there experimental ethics linking T waves to oceanography?
This excerpt illustrates why natural earthquake acoustic ocean (passive) signals are preferred over manmade (active) signals. “The deployment of around 4000 autonomous devices called Argo floats that capture temperature information has helped enormously, but there are big gaps in our knowledge. This is especially true in relation to what’s happening in the waters deeper than 2000 m. But now a team of researchers has developed a very different approach that exploits the fact that the speed of sound in seawater depends on temperature. The idea was first proposed and trialled in the late 1970s using sound waves generated by scientists. However, concerns over the impact of these sounds on marine mammals and rising costs saw the idea abandoned” [26].
  • Have T waves been researched as a tsunami predictor?
T Phases and tsunami waves can be generated by earthquakes simultaneously, or NOT, and so T wave detection on ocean bottom sensors (OBS) or floating sonar buoys or land-based seismographs are not an early warning indicator. Tsunami pressure waves are a separate observation.
  • Where are T phases best observed? What enhances their signal/noise ratio?
These excerpts give observational research experience. “These T phase arrivals can be observed in seismograms from receivers on land. Although most often recognised at coastal stations (or hydrophones), T phases can have large continental paths on the receiver end and have been observed at land stations several hundred kilometres away from the coast” [27].
“The mechanism of coupling from acoustic waves to seismic waves is not clear but has been proposed to be related to the slope of the seafloor near the shore, and the contrast.”
“The T phase does not depend only on the earthquakes’ magnitude, but also on the depth where earthquakes occur, the continental slope, the conversion location, and the conversion efficiency” [28]
  • Do T waves themselves constitute a disaster hazard?
T waves retransmit back into seismic P waves and can cause felt effects in structures [9], They can equally cause submarine landslides on continental shelves, as do local earthquakes.
  • Thermometry and bathymetry;
Predicting the travel-time changes from the temperature anomalies estimated by ECCO. The speed with which the sound travels is governed by the depth, the salinity, and the water temperature. Consequently, experiments have been proposed and executed to actively monitor the ocean temperature under global warming with hydro-acoustic observations [29].
  • Is the significance of acoustic thermometry and T wave velocity established?
    An exhaustive study of T waves from the CTBTO global database and a highly computational paper by Evers and Snellen [29] is worthy of mention to demonstrate the diverse origins of T waves. The physics is based on the efficient propagation through the SOFAR channel and uses the above-mentioned dependence of the sound speed on the temperature, noting,
    Diurnal variations in the SOFAR channel were found by analysing the travel time differences from the source to the receivers.
    From this, propagation in the Atlantic appeared to vary strongly between the north and south Atlantic Oceans, which is further studied in Section 4. The celerity approach and findings are evaluated in Section 5, where also opportunities for future research are identified. The conclusions from this study are drawn in Section 5 [29].
We can now work on the premise that a sufficiently long, passive, seismograph observation scheme could detect T waves from all oceans where T waves are known to occur and repeatedly observe their celerity (velocities), looking for a relationship with warming oceans. Not all oceanographers are aware of this seismological phenomenon.

2.5. The Original 1993 Student (Citizen Science) UQSS Project

In 1993, the student project used earthquake sound waves derived from the tsunamigenic areas in the Tasman Sea affecting eastern Australia. University lecturer in exploration geophysics, Dr. Steve Hearn was supervising the study by Ms. Bronwyn Lahey, of Brisbane Girls Grammar School, and Mr. Asanka Karunaratne, of Brisbane State High School.
They set out to study the link between tsunamis (commonly but incorrectly called tidal waves) and submarine earthquakes. Dr. Hearn then said that when an earthquake occurred below continental slopes, it generated a number of different sound waves, including a packet of energy known as a T-wave, which travelled more slowly (1.5 km/s) and arrived later than other sound waves.
“An earthquake originating off Fiji might generate a fast-travelling P-sound wave, which would travel through the earth at 6 km/s and be recorded in Australia 10 min later,” he said.
“A T-wave generated by the same earthquake would travel more slowly through water (at l.5 km/s) and be recorded on seismographs in Australia about 30 min after the event. Scientists in Australia have devoted most of their attention to the faster-travelling sound waves to record earthquakes, but at The University of Queensland we are now looking at the slower T-wave as a predictive tool for tsunamis. While these kinds of studies have been undertaken elsewhere in the world, including at Hawaii and Japan, it is a relatively new research field for Australia. The exploratory work these students are undertaking will greatly assist more detailed studies which we hope can be achieved with competitive research funding.”
More recently, we have become aware of the relationship that T waves have with oceanic heat waves, as outlined in Section 2.4
Seismograph station senior technician in the university’s Earth Sciences Department. Mr. Col Lynam then said, “At sea, tsunamis were very small-only one third to half a metre high-but they had enormous wavelengths which could be up to 200 km long. As the wave reached the shore the wave crest(s) build up rapidly and could rise 30 m in 10 to 15 min, with devastating results”.

3. Results

The students began by analysing all BRS observatory daily earthquake “pics”, from 1980 to 1990. These had been digitised for BRS seismogram bulletins in the mid-1980s with the assistance of the Prentice Computer Centre at UQ. Observers conducted a search of the digital BRS seismology bulletins for all observed earthquake P phase arrival times that had associated T phase arrival times, dates and times and observations. This yielded 68 earthquake T wave events. These are tabulated in Table 1.
Having tabulated those events, the students then commenced searching for confirming epicentre origin times and descriptors, using definitive catalogues published by USGS. and ISC [30]. They produced Table 2, which defined the source locations and depth, magnitudes (Mb and Ms) and the azimuth of the T wave generating earthquakes together with the velocities and the wave path(s) in the Tasman Sea area of the S-W Pacific Ocean. No consistent relationship with known tsunami events was discovered, so it was decided that result nullified the T wave <> Tsunami relationship.

3.1. Student T Wave Data Collection and Epicentre Location Analysis Results

The student analysis data is tabulated and mapped below, showing the earthquake epicentres that caused a T wave to be generated and detected on the BRS seismograph. What becomes evident from their analysis (Figure 5) is;
  • Not all earthquakes generate T waves.
  • T waves originate from only certain tectonic zones (some naming variations?).
  • There is a wide variation in T wave travel velocity.
  • There does appear to be seasonality in T wave reception by BRS.
  • There is a paucity of T waves passing across the submerged Zealandia continent.
  • T wave paths also plot paths for tsunami hazards along the east coast of Australia [31].
Figure 5 replicates the data in Table 2, showing the diversity of T wave earthquake epicentre sources, but now showing a unique sonar travel path of earthquake energy converted into SoFaR sound waves travelling the Tasman and Coral Sea and converted back to seismic waveform recorded at the UQSS Brisbane seismograph station, (BRS). The blur of purple dots shows the prolific earthquake activity in the SW Pacific subduction zone region.
There appears to be a causal geometry between the western side of subduction fault zones and T wave generation.
The recently classified and submerged Zealandia continent (yellow/orange bathymetry) seems to affect the SoFaR depth; or is it the temperature/salinity effect? This is only a recent geological research discovery.

3.2. Student T Wave Travel Times Derived from Epicentre Location Analysis—Showing T Wave Velocities Calculated

The right-hand columns in Table 2 show the T wave velocities calculated by the students in 1995 with only basic cartographic formulae to use. There is sufficient variation in this velocity observation to conjecture that:
  • Accurate bathymetric path plots should better discriminate SoFaR travel time and seismic travel time.
  • There may be a seasonality effect. There appear to be more T waves recorded from all cluster areas between May to September over the decadal data collection. Refer to Figure 6.
  • There may be a temperature or salinity effect from the migrating Antarctic Converge boundary that could affect the ocean temperatures around Macquarie Island, Auckland Island and Balleny Island sourced T waves (See Figure 7)

4. Discussion

4.1. Value of Citizen Science in the Laboratory

The original pilot study was an instructional organisational exercise for supervisory staff. It was successfully completed, giving the students a CSIRO curriculum certificate to take with their graduation. Mr. Karunaratne later became a temporary seismogram record changer while he studied for his PhD in biochemistry.
As a pilot scientific project, it brought together discussion and data collation techniques that were very new at a time of very few in-house computers. We were lucky to have begun data collection on a mainframe computer within the university.
In all of this thematic discussion, we suspect there is a natural curiosity amongst people and listening to the earth’s noise, generated by earthquakes or related phenomena. The technology comes pre-packaged and is simple to deploy…just like a computer game.

4.2. Other Discovered Citizen Science T Wave Recordings and Research

A contemporary recent discussion with seismologist colleagues and a more complete search of the ISC database reveals that a lot more Australian seismograph stations record these T phases on the East coast of Australia [30]. There is an interesting citizen science seismograph run by Mr A. Michael-Phillips (Coonabarabran, NSW) code name EPSO, which has documented T waves recorded on his seismographs from 2013 to 2019 [33]. This paper has also referred to the South Australian citizen seismologist group that maintains, operates, and analyses T wave data. Impressively they repair their own instruments and raise money for them by selling hotdogs for a day [5].

4.3. Climate Change Related Acoustic Thermometry

As discussed in the review of recent T wave research literature, the T wave could give researchers an identifiable way of measuring the changes in temperature and salinity at depth in our oceans. Because their travel path (Figure 5) is a very selective inversion layer in the ocean, between 1.5 Km to 0.9 Km depth (approx.) which could easily be disconnected if ocean temperature rises and salinity changes (see Figure 7).

5. Conclusions

The authors have all been dedicated workers in the university sciences arena, and we enjoy communicating our work. We have grasped the dilemma of our epoch, the Anthropocene.
We are highlighting a unique scientific ocean-warming monitoring experiment, drawing on recent cross-disciplinary scientific research outcomes. Our paper postulates that a valuable innovative scientific outcome is possible with a citizen science promoted activity, using the application of UNESCO’s Education for sustainable development (ESD) platform. We are targeting the encouragement of citizen engagement in earth observation and many other ongoing earth monitoring projects. We have offered the preemptory evidence of the project’s own, spontaneous evolution. This citizen science application re-affirms the necessity and value of UNESCO’s education sector response to the urgent and dramatic challenges the planet faces.
We are talking about the mobilisation of a groundswell of engagement, to gain both citizen comprehension and their acceptance of how science can be trusted to measure the climate change emergency and also imbue a stoic mindset of persistence, to bear some of the impacts about to befall the planet.
The strategy behind this paper’s approach was later amplified by Australia’s CSIRO, a premier scientific body. The prescient CSIRO report, Australia’s Biosecurity Future [34] looks at what this nation’s biosecurity aims should be over the next 10 years to 2030 and the steps needed to get there;
The challenges facing Australia’s biosecurity system are too big for any organisation or sector to tackle by themselves. The solution is a united, multifaceted approach. We need to harness the collective knowledge and eyes-on-the-ground capability of our citizens, our communities, our industries, and our governments to ensure that all Australians are aware of their role in managing biosecurity risks and are working together to build the resilience of the biosecurity system. Shared responsibility involves improved community engagement; more systemic collaborations between Indigenous and non-Indigenous organisations and individuals and working with industry to develop their role in surveillance. For it to work, every stakeholder has to understand its value and feel invested in Australia’s biosecurity. Together, system connectivity and shared responsibility will allow us to quickly share critical information, resources, and expertise. We will be able to coordinate prevention strategies, improve our rapid response, and efficiently identify research needs across the human health, agricultural, and environmental sectors. ‘Science’ is the application of scientific methods to observations about the biophysical world.
University institutions do have sustainability programs supported by management policy. There is an opportunity to implement a UNESCO-defined ESD citizen seismology program, specifically addressed through the world’s university institutions as a benevolent service to the local community and mankind. It is imperative that the planet’s climate change monitoring and measurement is implemented.
We believe a parallel can be drawn with solar power. Australia leads the world in citizen-initiated solar panel installation on their household rooftops [35]. A large percentage of the population has ignored the naysaying (hydrocarbon) energy suppliers and citizens have purchased and installed domestic solar rooftop power. Those same energy companies are now currently selling citizens interest-free loans to install 9.5 Kw batteries that can feed power back into the grid at night, after being charged by the citizen’s solar panels during the day. Citizens are practical and capable problem-solvers.
We have observed that significant enthusiasm for citizen seismogram platforms exists already. Time is opportune to mount a global UNESCO sponsored, earth education and monitoring awareness initiative, for the education and preparedness of citizens, enabling them to prepare for what climate emergency impacts will befall them. Trust is an enabler, while misinformation abounds.
Anecdotally, we recently checked the Raspberry Shake website for a citizen Shake seismograph located in Brisbane (Queensland) recording the Magnitude 7 earthquake(s) in the Loyalty Islands and were able to verify that T waves are easily visible, with some visual tweaking.

Author Contributions

Conceptualization, C.J.L.; Formal analysis, C.J.L. and A.K.; Investigation, C.J.L. and A.K.; Writing—original draft, C.J.L. and A.K.; Writing—review & editing, C.J.L.; Supervision, CJ.L All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are openly available International 1. Seismological Centre (2023), Seismological Dataset Reptory, https://doi.org/10.31905/6TJZECEY. 2. University of Queensland. Seismological Station. Bulletin/University of Queensland, Seismological Station; Brisbane, Australia, 1945. Available online: https://espace.lbrary.uq.edu.au/view/UQ:730089/ID23112821050003131_1937_1945x.pdf?dsi_version=14f1312ec02ab25f3c785e494b5ebf1c (accessed on 1 June 2023). 3. Data available on request (University of Queensland, School of Environment) due to restrictions eg non digitized.

Acknowledgments

Thanks to former UQSS Hon. Director, Steve Hearn for his ongoing interest in teaching things seismological and geophysical. We most likely came under earthquake “enrapturement” through the inspired leadership and mentorship of the late “Happy Jack” Webb (Hon. Director UQSS). Thanks to fellow UQSS observers Russ Cuthbertson, late Jack Millican, late Paul Gaffy and Ted Laundon, who created the UQSS seismic data in the database and the pioneer UQSS Directors. Thanks to ISC data analyst James Harris for data searches.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Diagrammatic arrangement of the P-, S-, and T-groups according to Increase in (S-P)-interval [16].
Figure 1. Diagrammatic arrangement of the P-, S-, and T-groups according to Increase in (S-P)-interval [16].
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Figure 2. T wave recorded in BRS, 23-08-1949 from Queen Charlotte Is. Earthquake.
Figure 2. T wave recorded in BRS, 23-08-1949 from Queen Charlotte Is. Earthquake.
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Figure 3. T wave recorded in BRS, 23-08-1949 from Queen Charlotte Is (Can). Earthquake.
Figure 3. T wave recorded in BRS, 23-08-1949 from Queen Charlotte Is (Can). Earthquake.
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Figure 4. The variation of temperature with depth in the Tasman Sea showing the rapid decrease in temperature to a depth of 1500 m. The measurements were made by R.R. S. Explorer under the sponsorship of the Royal Society. Numbers refer to stations occupied. Permission applied for).
Figure 4. The variation of temperature with depth in the Tasman Sea showing the rapid decrease in temperature to a depth of 1500 m. The measurements were made by R.R. S. Explorer under the sponsorship of the Royal Society. Numbers refer to stations occupied. Permission applied for).
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Figure 5. Map of locations included in Table 2 using modern computational techniques to plot the T Wave paths from epicentre to BRS Seismograph station. Index is Bathymetry depth in Metres (courtesy E. Sands).
Figure 5. Map of locations included in Table 2 using modern computational techniques to plot the T Wave paths from epicentre to BRS Seismograph station. Index is Bathymetry depth in Metres (courtesy E. Sands).
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Figure 6. Ten year (1980–1990) T wave occurrence at BRS seismographs, analysed by month of occurrence and regions of origin, to show any seasonality (Original plots by 1995 students).
Figure 6. Ten year (1980–1990) T wave occurrence at BRS seismographs, analysed by month of occurrence and regions of origin, to show any seasonality (Original plots by 1995 students).
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Figure 7. Major currents and fronts in the Southern Ocean and Subantarctic region: Antarctic Circumpolar Current (AAC), Antarctic Coastal Current (ACoC), Antarctic Divergence (AD), Antarctic Convergence (AC), Subtropical Convergence (STC) (4) (PDF) (Reproduced from Leach et al. (2016), with permission) [32].
Figure 7. Major currents and fronts in the Southern Ocean and Subantarctic region: Antarctic Circumpolar Current (AAC), Antarctic Coastal Current (ACoC), Antarctic Divergence (AD), Antarctic Convergence (AC), Subtropical Convergence (STC) (4) (PDF) (Reproduced from Leach et al. (2016), with permission) [32].
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Table 1. Student T wave data epicentre location analysis—arranged in location clusters.
Table 1. Student T wave data epicentre location analysis—arranged in location clusters.
DateTME_REC (UTC) LocationLat (S)Long (E)Depth (Km)AzmuthMS *MB **
25/05/198111:09:40AUCKLAND ISLANDS 49.41164.28123345.1
25/05/198111:30:10AUCKLAND ISLANDS 49.35164.5819333 4.6
25/05/198114:18:10AUCKLAND ISLANDS 49.34164.2733334 4.3
25/05/198120:07:10AUCKLAND ISLANDS 49.35164.2833334 4.4
25/05/198122:23:05AUCKLAND ISLANDS49.28164.2333334 4.5
28/05/19810:48:00AUCKLAND ISLANDS 49.5163.8833335 4.3
28/05/198105:52:00AUCKLAND ISLANDS49.13164.4312333 4.9
30/05/198109:12:28AUCKLAND ISLANDS49.14164.63 3335.35.8
31/05/198108:24:00AUCKLAND ISLANDS49.82164.133335 4.2
16/06/198116:29:45AUCKLAND ISLANDS49.07164.7933332 5.3
6/08/198111:52:20AUCKLAND ISLANDS49.76163.9633335 4.6
16/08/198105:41:45AUCKLAND ISLANDS49.54164.3233334 4.5
22/04/198622:19:23AUCKLAND ISLANDS49.96163.6910336 4.8
3/05/198712:52:33AUCKLAND ISLANDS49.17164.6133335.34.6
20/12/198814:20:10AUCKLAND ISLANDS50.5163.110 4.74.8
26/10/198903:09:00AUCKLAND ISLANDS50.7162.810 4.74.4
21/11/198915:03:21AUCKLAND ISLANDS50.18162.610 5.85.6
23/02/199115:26:00AUCKLAND ISLANDS49.1164.910332 4.9
17/09/198906:28:10BAL.LENY ISLAND61.4154.110 5.65.4
16/01/198004:17:50LOYALTY ISLANDS21.85170.5856 5.65.4
6/07/198103:25:36LOYAL TY ISLANDS22.29171.64114250 6.3
6/09/198111:19:30LOYALTY ISLANDS21.5169.6136246 6.0
29/10/198112:23:47LOYAL TY ISLANDS23.65169.1118252 5.1
15/11/198403:03:22LOYALTY ISLANDS22170.91119248 6.3
15/01/198620:33:57LOYAL TY ISLANDS21.37170.31144246 6.0
1/05/198619:49:00LOYAL TY ISLANDS21.85170.1371247 5.7
31/07/198813:06:41LOYALTY ISLANDS22.26171.0285 5.7
21/09/198811:21:00LOYALTY ISLANDS22.27170.9788 5.1
17/02/199107:16:23LOYAL TY ISLANDS21.17169.7673245 5.5
31/12/198422:21:27MACCQUARIE ISLAND60.21153.8103595.55.3
3/09/198700:07:17MACQUARIE ISLAND58.86158.4815 7.25.9
15/11/198919:48:37MACCQUARIE ISLAND52.34160.0710 5.45.7
17/09/199014:15:00MACCQUARIE ISLAND53.17159.64103466.05.9
23/05/198400:05:44N OF MACQUARIE I51.88161.08103425.85.8
18/09/198109:24:05NEW CALDONIA22.81167.633248 4.4
17/12/198801:13:45NEW CALEDONIA26.93167.5325 5.35.5
24/02/199109:52:00NEW CALEDONIA22.72166.64332475.04.9
28/01/198012:55:10NEW ZEALAND45.26167.5118 5.1
26/07/198722:12:12NW OF NZ30.23165.810 5.4 5.2
25/05/198813:41:39NWOF NZ30.7167.710 4.4 4.8
27/09/198503:59:30SOLOMON ISL.ANDS9.81165.8533200 6.86.2
30/08/198006:19:02SOUTH ISLAND NZ45.06167.67112321 4.6
27/05/198119:23:00SOUTH ISLAND NZ48.48164.4812332 4.6
22/11/198119:00:15SOUTH ISLAND NZ44.46167.6318320
4/07/198216:05:00SOUTH ISLAND NZ 10320 4.7
27/09/198422:04:21SOUTH ISLAND NZ44.14168.661317 4.7
12/09/198513:16:30SOUTH ISL.AND NZ45.4167.3680322 5.1
11/07/198617:20:05SOUTH ISLAND NZ44.54167.4512321 4.2
16/05/198810:19:00SOUTH ISLAND NZ44.17168.1312 4.2
3/06/198823:47:20SOUTH ISLAND NZ44.86167.6482 5.7
9/06/198812:33:30SOUTH ISLAND NZ44.99167.4865 4.2
14/06/198816:07:00SOUTH ISLAND NZ44.47168.348 4.2
15/02/199111:12:16SOUTH ISLAND NZ42.08171.5983085.05.8
28/05/198121:18:00VANUATU15.01166.97121225 4.8
6/04/198423:25:10VANUATU18.95168.89185237 5.8
16/07/198612:58:08VANUATU19.52169.1621239 6.2
12/08/199021:41:50VANUATU19.48169.12164239 6.3
15/06/198102:56:00W COAST, SIS NZ48.46165.11333315.35.2
27/06/198122:04:00W COAST, S IS NZ48.8164.233333 4.4
23/12/198115:24:00W COAST, SIS NZ47.74165.7710329 3.8
31/01/198504:56:00W COAST, SIS NZ46.01165.16103286.05.8
21/09/198514:14:26W COAST, S IS NZ46.37165.7822327 4.9
3/04/198614:33:22W COAST, S IS NZ45.81165.2433327 4.8
11/07/198608:51:30W COAST, SIS NZ45.46166.33333255.55.3
15/05/198818:45:53W COAST, SIS NZ43.85168.6810 4.95.5
15/05/198819:42:00W COAST, SIS NZ43.94168.464 4.0
18/01/1980 No info found
7/02/1980 No info found
5/08/198103:30:24No info found
27/06/198216:48:17No info found
30/10/198600:24:31No info found
17/02/198709:52:30No info found
* MS = Magnitude using Shear wave amplitude. ** MB = magnitude using body wave amplitude.
Table 2. Student T wave travel times derived from epicentre location analysis.
Table 2. Student T wave travel times derived from epicentre location analysis.
LocationDate/Time of
Origin
BRS Time
(UTC)
Lat (S)Long (E)Distance to BRS
(Degrees)
Azimuth DepthMB **MS * T Travel Time (s)Distance to Origin(Km)Velocity
(Km/s)
3AUCKLAND ISLANDS 06/08/8111:25:4711:52:2049.76 163.96 23.93 335334.6 159326551.730769
4AUCKLAND ISLANDS 03/05/8712:26:5312:52:3349.17 164.60 23.57 333134.6 154026201.473566
5AUCKLAND ISLANDS 02/23/9114:59:4015:26:0049.10 164.90 23.63 332104.9 158026201.088040
6AUCKLAND ISLANDS 02/25/81 11:03:0211:30:1049.35 164.58 23.02 333194.6 162826201.609037
7AUCKLAND ISLANDS 04/22/86 21:53:0522:19:2340.06 163.60 24.04 336104.8 157826651.730510
8AUCKLAND ISLANDS 05/25/81 10:44:2511:09:4049.27 164.41 23.71 33412 151526351.730274
9AUCKLAND ISLANDS 05/25/81 13:27:5014:18:1040.34 164.27 23.64 334334.3 302026200.867550
10AUCKLAND ISLANDS 05/25/81 19:39:1320:07:1049.35 164.28 23.66 334334.4 167726351.571258
11AUCKLAND ISLANDS 05/25/81 21:50:5122:23:0549.28 164.23 23.58 334334.5 193426201.354705
12AUCKLAND ISLANDS 05/28/81 0:21:150:48:0049.50 163.88 23.67 335334.3 160526351.641745
13AUCKLAND ISLANDS 05/28/81 5:25:525:52:0049.13 164.43 23.50 333124.9 156826101.664541
14AUCKLAND ISLANDS 05/30/81 9:47:1210:12:2849.14 164.63 333 5.8 151626651.757916
15AUCKLAND ISLANDS 05/31/81 7:57:078:24:0049.82 164.10 335334.2 161326651.709429
16AUCKLAND ISLANDS 06/16/81 16:03:4616:29:4549.07 164.79 23.56 332335.3 155926201.644690
17AUCKLAND ISLANDS 08/16/815:10:115:41:4549.54 104.32 23.84 334334.5 189426451.005017
18AUCKLAND ISLANDS 10/26/89 2:14:143:09:0050.67 162.76 24.47 104.4 328627551.786641
19AUCKLAND ISLANDS 11/21/89 14:37:3915:03:2150.18 164.60 23.97 105.6 154226651.696372
20AUCKLAND ISLANDS 12/20/88 13:53:3214:20:1050.50 163.10 21.57 104.8 159824000.730371
21BALLENY ISLAND 07/09/895:48:026:28:1061.40 154.10 34.01 105.4 240837803.624161
22LOYALTY ISLANDS 06/07/813:08:343:25:3622.29 171.04 17.86 2501146.3 102219801.962339
23LOYALTY ISLANDS 06/09/8111:02:4111:19:3021.50 160.61 16.41 246306.0 100918201.786065
24LOYALTY ISLANDS 01/05/8619:31:4219:49:0021.85 170.13 16.72 247715.7 103818551.873737
25LOYALTY ISLANDS 01/15/86 20:17:3120:33:5721.37 170.31 17.06 2461446.0 98619001.830443
26LOYALTY ISLANDS 01/I6/80 4:00:274:17:5021.85 170.58 17.10 565.4 104319001.859100
27LOYALTY ISLANDS 02/17/91 6:59:147:16:2321.17 169.76 16.67 245735.5 102918650.791260
28LOYALTY ISLANDS 07/31/88 12:50:1113:06:4122.26 171.02 16.61 855.7 99018451.904025
29LOYALTY ISLANDS 09/21/88 11:04:5111:21:0022.27 170.97 17.28 885.1 96919201.865889
30LOYALTY ISLANDS 10/29/81 12:06:4812:23:4723.65 169.11 15.21 252185.1 101916901.855240
31LOYALTY ISLANDS 11/15/84 2:46:213:03:2222.00 170.01 17.33 2481106.3 102119201.047262
32MACQUARIE ISLAND 03/09/876:40:117:17:0058.86 158.80 31.70 155.9 220935202.046512
33MACQUARIE ISLAND 05/23/84 5:16:345:44:0051.88 161.08 25.25 342105.8 164628002.777778
34MACQUARIE ISLAND 09/17/90 13:47:2614:15:0053.17 159.64 26.25 346105.9 165429101.767922
35MACQUARIE ISLAND 11/15/80 19:10:5719:48:3752.34 160.07 22.61 105.7 226025001.511487
36MACQUARIE ISLAND 12/31/84 21:42:1022:21:2760.21 153.80 32.81 359105.3 235736451.650068
37NEW CALEDONIA 02/24/91 9:36:579:52:0022.72 166.64 13.40 247334.9 90314901.027590
38NEW CALEDONIA 09/18/81 9:07:179:24:0522.81 167.60 14.22 248334.4 100815801.644121
39NEW CALEDONIA 12/17/88 0:58:141:13:4520.93 167.53 13.15 255.5 93114651.011661
40NEW ZEALAND 01/28/80 12:30:5612:55:1045.26 167.50 21.36 1185.1 145423753.149867
41NW OF NZ 05/25/88 13:25:2313:41:3930.70 167.70 13.43 104.8 97614901.219313
42NW OF NZ 07/26/87 21:59:3822:12:1230.23 105.80 11.77 105.2 75413101.342213
43SOLOMON ISLANDS 09/27/85 3:39:083:59:309.81 165.85 18.31 200336.2 122220351.465083
44SOUTH ISLAND NZ08/30/80 5:55:536:19:0245.06 167.67 21.27 3211124.6 138923651.533720
45SOUTH ISLAND NZ 04/07/8215:42:2416:05:00 21.15 320104.7 135623551.736726
46SOUTH ISLAND NZ 12/09/8512:53:0213:16:3045.40 107.36 21.40 322805.1140823801.690341
47SOUTH ISLAND NZ 03/06/8823:27:3523:47:2044.06 107.04 21.11 825.7 118524552.071730
48SOUTH ISLAND NZ 02/15/91 10:48:0911:12:1642.08 171.59 21.23 30885.8 144723551.627505
49SOUTH ISLAND NZ 05/16/88 9:55:3410:19:0044.17 168.13 124.2 140623451.667852
50SOUTH ISLAND NZ 05/27/81 18:57:1819:23:0048.48 164.48 332124.6 154223451.520752
51SOUTH ISLAND NZ 07/11/BG 16:56:3817:20:0544.54 167.45 20.78 321124.2 140723101.641791
52SOUTH ISLAND NZ 09/27/84 21:41:0522:04:2144 14 168.66 21.04 31714.7 139623451.679799
53SOUTH ISLAND NZ 11/22/81 18:37:0019:00:1544.46 167.63 20.80 32018 139523101.655914
54SOUTH ISLAND NZ O6/09/88 12:10:0412:33:3044.00 167.48 654.2 140623451.205036
55SOUTH ISLAND NZ O6/14/88 15:43:2116:07:0044.4? 168.34 84.2 141923451.652572
56VANUATU 10/07/8612:41:2912:58:0819.52 169.16 16.94 239216.2 99918801.881882
57VANUATU 12/08/9021:25:2421:41:5019.48 169.12 16.93 2391646.3 98618801.906694
58VANUATU 04/00/84 23:08:2223:25:1018.95 108.89 17.02 2371855.8 100818901.875000
59VANUATU 05/28/81 21:04:2221:18:0015.01 166.97 18.06 2251214.8 81820102.409287
60W COAST, SOUTH ISLAND NZ 03/04/8614:09:0414:33:2245.81 165.24 20.89 327334.8 145823201.591221
61W COAST, SOUTH ISLAND NZ 11/07/868:27:468:51:3045.96 166.33 21.43 325335.3 142423801.671348
62W COAST, SOUTH ISLAND NZ 01/31/85 4:32:584:56:0046.01 165.16 21.02 328105.8 138223351.689580
63W COAST, SOUTH ISLAND NZ 05/15/88 18:26:1618:45:5343.85 168.68 20.84 105.5 117723101.962617
64W COAST, SOUTH ISLAND NZ 05/15/88 19:18:2519:42:0043.94 168.46 20.80 44.0 141523101.632509
65W COAST, SOUTH ISLAND NZ 06/15/81 2:31:182:56:0048.46 165.11 23.12 331335.2 148225651.730769
66W COAST, SOUTH ISLAND NZ 06/27/81 21:39:0022:04:0048.80 164.20 23.14 333334.4 15002661.710000
67W COAST, SOUTH ISLAND NZ 09/21/85 13:50:1514:14:2646.37 165.78 21.86 327224.9 145124351.678153
68W COAST, SOUTH ISLAND NZ 12/23/81 14:58:1915:24:0047.74 105.77 329103.8 154126651.752137
* MS = Magnitude using Shear wave amplitude. ** MB = magnitude using body wave amplitude.
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MDPI and ACS Style

Lynam, C.J.; Karunaratne, A. Citizen Science and The University of Queensland Seismograph Stations (UQSS)—A Study of Seismic T Waves in S-W Pacific Ocean. Sustainability 2023, 15, 10885. https://doi.org/10.3390/su151410885

AMA Style

Lynam CJ, Karunaratne A. Citizen Science and The University of Queensland Seismograph Stations (UQSS)—A Study of Seismic T Waves in S-W Pacific Ocean. Sustainability. 2023; 15(14):10885. https://doi.org/10.3390/su151410885

Chicago/Turabian Style

Lynam, Colin John, and Asanka Karunaratne. 2023. "Citizen Science and The University of Queensland Seismograph Stations (UQSS)—A Study of Seismic T Waves in S-W Pacific Ocean" Sustainability 15, no. 14: 10885. https://doi.org/10.3390/su151410885

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