Use of a novel acoustic 'listening' method for detecting pump impellor strike on downstream migrating eels

2020 ◽  
Vol 71 (6) ◽  
pp. 571
Author(s):  
B. O. David ◽  
M. Lake ◽  
M. K. Pine ◽  
J. Smith ◽  
J. A. T. Boubée
Keyword(s):  
Test Site ◽  
Acoustic Properties ◽  
Fish Mortality ◽  
Management Options ◽  
Acoustic Data ◽  
Goldfish Carassius Auratus ◽  
Pump Station ◽  
Pumping Stations ◽  
Global Issue ◽  
Passive Acoustic

Fish mortality through floodplain pumping stations is a recognised global issue, but few studies have quantified the degree of mortality that occurs during pumping. We investigated the potential of passive acoustic monitoring (PAM) as a tool to record sounds made by fish and their likely mortality as they passed through pumps during downstream migration. The acoustic properties made by freshly killed eels that were fed through an existing pump station were compared to those made by goldfish (Carassius auratus). Processing and analysis of acoustic data enabled the development of an ‘eel-specific’ algorithm for detecting eels passing through the pumping station. The duration of sound and filtered intensity were useful characteristics enabling reliable separation of the two fish species. The algorithm was then applied retrospectively to soundscape recordings obtained during a typical eel migration period at the test site. Although the tool is unlikely to be able to differentiate the sound of goldfish from ‘other’ potential sounds of short duration (e.g. sticks), differentiating eels from other sounds was demonstrated. We conclude that this tool has considerable potential for improving the understanding of the timing of eel migrations and likely mortality through pumping stations. The tool may also be used to inform the development of both remote and manual pump management options for reducing pump-related eel mortality.

scholarly journals Comparing imaging, acoustics, and radar to monitor Leach’s storm-petrel colonies

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6721 ◽  
Author(s):  
Rachael A. Orben ◽  
Abram B. Fleishman ◽  
Abraham L. Borker ◽  
William Bridgeland ◽  
Amanda J. Gladics ◽  
...  
Keyword(s):  
Time Lapse ◽  
Acoustic Energy ◽  
Monitoring Methods ◽  
Management Options ◽  
Seabird Species ◽  
Acoustic Data ◽  
Monitoring Strategies ◽  
Abundance Indices ◽  
Leach’S Storm Petrel ◽  
Passive Acoustic

Seabirds are integral components of marine ecosystems and, with many populations globally threatened, there is a critical need for effective and scalable seabird monitoring strategies. Many seabird species nest in burrows, which can make traditional monitoring methods costly, infeasible, or damaging to nesting habitats. Traditional burrow occupancy surveys, where possible, can occur infrequently and therefore lead to an incomplete understanding of population trends. For example, in Oregon, during the last three decades there have been large changes in the abundance of Leach’s storm-petrels (Hydrobates leucorhoa), which included drastic declines at some colonies. Unfortunately, traditional monitoring failed to capture the timing and magnitude of change, limiting managers’ ability to determine causes of the decline and curtailing management options. New, easily repeatable methods of quantifying relative abundance are needed. For this study, we tested three methods of remote monitoring: passive acoustic monitoring, time-lapse cameras, and radar. Abundance indices derived from acoustics and imagery: call rates, acoustic energy, and counts were significantly related to traditional estimates of burrow occupancy of Leach’s storm-petrels. Due to sampling limitations, we were unable to compare radar to burrow occupancy. Image counts were significantly correlated with all other indices, including radar, while indices derived from acoustics and radar were not correlated. Acoustic data likely reflect different aspects of the population and hold the potential for the further development of indices to disentangle phenology, attendance of breeding birds, and reproductive success. We found that image counts are comparable with standard methods (e.g., radar) in producing annual abundance indices. We recommend that managers consider a sampling scheme that incorporates both acoustics and imaging, but for sites inaccessible to humans, radar remains the sole option. Implementation of acoustic and camera based monitoring programs will provide much needed information for a vulnerable group of seabirds.

scholarly journals Multi-year presence of humpback whales in the Atlantic sector of the Southern Ocean but not during El Niño

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elena Schall ◽  
Karolin Thomisch ◽  
Olaf Boebel ◽  
Gabriele Gerlach ◽  
Sari Mangia Woods ◽  
...  
Keyword(s):  
Southern Ocean ◽  
El Niño ◽  
El Nino ◽  
Humpback Whales ◽  
Low Latitude ◽  
Sea Ice Extent ◽  
Atlantic Sector ◽  
Acoustic Data ◽  
Breeding Grounds ◽  
Passive Acoustic

AbstractHumpback whales are thought to undertake annual migrations between their low latitude breeding grounds and high latitude feeding grounds. However, under specific conditions, humpback whales sometimes change their migratory destination or skip migration overall. Here we document the surprising persistent presence of humpback whales in the Atlantic sector of the Southern Ocean during five years (2011, 2012, 2013, 2017, and 2018) using passive acoustic data. However, in the El Niño years 2015 and 2016, humpback whales were virtually absent. Our data show that humpback whales are systematically present in the Atlantic sector of the Southern Ocean and suggest that these whales are particularly sensitive to climate oscillations which have profound effects on winds, sea ice extent, primary production, and especially krill productivity.

Holistic Approach in Integrating Passive Acoustic Logs with Static and Dynamic Data Improved Wells Integrity Understanding at Field Scale

2021 ◽  
Author(s):  
Fuad Atakishiyev ◽  
Rizvan Ramazanov ◽  
Fergus Allan ◽  
Adrian Zett
Keyword(s):  
Risk Mitigation ◽  
Single Point ◽  
Optimal Decision ◽  
Dynamic Data ◽  
Safe Delivery ◽  
Acoustic Data ◽  
Dynamic Events ◽  
Well Integrity ◽  
Conventional Methods ◽  
Passive Acoustic

Abstract Proactive well diagnostic surveillance helps with safe delivery of production by effective well management and risk mitigation. The objective of the paper is to demonstrate the data analytics approach utilizing passive acoustic technology in combination with conventional methods of detecting low magnitude dynamic events behind single or multiple casing strings. The results of integrated interpretation of passive acoustic wireline technology with the data from different sources helped to make optimal decision. Traditional well integrity diagnostic includes temperature and passive acoustic data analysis that are associated with high uncertainty. A newer generation of array passive acoustic technology with enhanced sensitivity capabilities was deployed offshore Azerbaijan. A combination of array passive acoustics data, single point temperature and distributed fiber optic data have been acquired during a multi-well campaign. Extensive review of well integrity history, downhole and surface gauge data incorporated with passive acoustic data from arrays of spectral sensors in time and depth domain helped to refine the process and evolve into a unique interpretation methodology. The comprehensive interpretation accounted for integration of all available static and dynamic data such as: fluids and formation pressure distribution along the borehole, cement bond logs evaluation, annuli pressure and temperature, production and downhole gauge measurements, fibre optic data, temperature and passive acoustic logs. This helped to understand the low scale dynamic events behind the casing and make an informed decision on safe and reliable well operations. The sensitivity of array passive acoustic technology proved successful in detecting subtle acoustic events where conventional methods failed or had limited success. Successful results have been achieved by customizing the logging program using a multiple well evolutionary approach that improved data quality and saved rig time. Interpretation and decisions derived from each well involved multi-disciplinary well review panel sessions with specialists from subsurface & geohazards, drilling & completions, production & operations departments. Case studies presented in this paper describe the interpretation approach of highly sensitive array passive acoustic sensors in combination with available static and dynamic point and distributed data. The logging program and interpretation approach used in this article could be considered as a basis for future applications in wells with similar design.

scholarly journals PERENCANAAN DAN ANALISIS KELAYAKAN INVESTASI PROYEK PEMASANGAN KAPASITOR BANK PADA INSTALASI PEMANFAATAN ENERGI LISTRIK

2021 ◽  
Vol 9 (1) ◽  
pp. 77-82
Author(s):  
Epiwardi ◽  
Ruwahyoto ◽  
Heri sungkowo
Keyword(s):  
Payback Period ◽  
Economic Life ◽  
Water Pump ◽  
Energy Usage ◽  
Capacitor Banks ◽  
Water Pumping ◽  
Pump Station ◽  
Pumping Stations ◽  
Feasibility Test ◽  
The Cost

The low power factor in the electricity installation of Sumber Wendit 3 water pumping stations causes a bill of excess reactive energy usage or kVARh, so that the cost of using electricity becomes higher. The excess use of reactive energy can be compensated by additional investment in installing capacitor banks in the main distribution panel (MDP) Sumber Wendit 3 water pump station. Based on the data and problems, it is planned to install capacitor banks that meet the standards with a target of 0.90 and 0.95 lagging. From the results of the planning, we need 150 kVAR and 250 kVAR capacitors, with an investment value of Rp. 94,983,790 and - Rp. 120,781,210. After an investment feasibility test using the Payback Period (PP) method, it is known that for a 150 kVAR bank capacitors, the investment return is technically 2.88 months and economically is 4.01 and 3.17 months. For 250 kVAR bank capacitors, the return on investment is technically 3.66 months and economically 5.1 and 4.03 months. When compared with the economic life of the investment is 10 years, the investment of the bank capacitor installation project is very profitable and feasible to carry out

Determining the detection function of passive acoustic data loggers for porpoises using a large hydrophone array

2014 ◽  
Vol 135 (4) ◽  
pp. 2369-2369 ◽  
Author(s):  
Jens C. Koblitz ◽  
Katharina Brundiers ◽  
Mario Kost ◽  
Louise Burt ◽  
Len Thomas ◽  
...  
Keyword(s):  
Detection Function ◽  
Acoustic Data ◽  
Data Loggers ◽  
Passive Acoustic ◽  
Hydrophone Array

scholarly journals Exploring movement patterns and changing distributions of baleen whales in the western North Atlantic using a decade of passive acoustic data

2020 ◽  
Vol 26 (9) ◽  
pp. 4812-4840 ◽  
Author(s):  
Genevieve E. Davis ◽  
Mark F. Baumgartner ◽  
Peter J. Corkeron ◽  
Joel Bell ◽  
Catherine Berchok ◽  
...  
Keyword(s):  
North Atlantic ◽  
Movement Patterns ◽  
Baleen Whales ◽  
Acoustic Data ◽  
Passive Acoustic

MODELING OF PUMP OPERATION CONDITIONS IN GRAVITY-PRESSURE COMBINED SYSTEMS

2017 ◽  
Vol 168 (48) ◽  
pp. 35-44
Author(s):  
Ireneusz Nowogoński ◽  
Ewa Ogiołda ◽  
Marlena Kubiszyn
Keyword(s):  
Working Conditions ◽  
Dynamical Analysis ◽  
Active Volume ◽  
Pump Operation ◽  
Operation Conditions ◽  
Pump Station ◽  
Pumping Stations ◽  
Pump Stations ◽  
Systems Simulation ◽  
Selection Of

The paper presents the problem of working conditions in gravitationalpressure systems simulation. The practical example takes into account the dynamical analysis of a system equipped with 10 pump stations with different functions. Both local press stations, local stations for shallowing network and transit pumping stations between the towns were used. The model allowed to optimize the active volume of the pump station tanks, the selection of pumps, including the frequency of power on and the time of holding the sewage.

scholarly journals A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset

2021 ◽  
Vol 8 ◽  
Author(s):  
Ann N. Allen ◽  
Matt Harvey ◽  
Lauren Harrell ◽  
Aren Jansen ◽  
Karlina P. Merkens ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Characteristic Curve ◽  
Humpback Whale ◽  
Learning Approaches ◽  
Spatial And Temporal Patterns ◽  
Mammal Species ◽  
Diverse Range ◽  
Acoustic Data ◽  
Passive Acoustic

Passive acoustic monitoring is a well-established tool for researching the occurrence, movements, and ecology of a wide variety of marine mammal species. Advances in hardware and data collection have exponentially increased the volumes of passive acoustic data collected, such that discoveries are now limited by the time required to analyze rather than collect the data. In order to address this limitation, we trained a deep convolutional neural network (CNN) to identify humpback whale song in over 187,000 h of acoustic data collected at 13 different monitoring sites in the North Pacific over a 14-year period. The model successfully detected 75 s audio segments containing humpback song with an average precision of 0.97 and average area under the receiver operating characteristic curve (AUC-ROC) of 0.992. The model output was used to analyze spatial and temporal patterns of humpback song, corroborating known seasonal patterns in the Hawaiian and Mariana Islands, including occurrence at remote monitoring sites beyond well-studied aggregations, as well as novel discovery of humpback whale song at Kingman Reef, at 5∘ North latitude. This study demonstrates the ability of a CNN trained on a small dataset to generalize well to a highly variable signal type across a diverse range of recording and noise conditions. We demonstrate the utility of active learning approaches for creating high-quality models in specialized domains where annotations are rare. These results validate the feasibility of applying deep learning models to identify highly variable signals across broad spatial and temporal scales, enabling new discoveries through combining large datasets with cutting edge tools.

Software for bioacoustic analysis of passive acoustic data.

2009 ◽  
Vol 125 (4) ◽  
pp. 2547-2547 ◽  
Author(s):  
David K. Mellinger ◽  
Douglas Gillespie ◽  
Harold Figueroa ◽  
Kate Stafford ◽  
Tina Yack
Keyword(s):  
Acoustic Data ◽  
Bioacoustic Analysis ◽  
Passive Acoustic
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