USGS Science⌕ Search

SEARCH · USGS Science

Results for “Acoustics”

Search indexed USGS publications on groundwater, aquifers, geologic maps, mineral resources and earthquakes. Explore source records by subject and place.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 469 records · Page 26Linked to original sources
USGS2002

CMGTooL user's manual

During the past several years, the sediment transport group in the Coastal and Marine Geology Program (CMGP) of the U. S. Geological Survey has made major revisions to its methodology of processing, analyzing, and maintaining the variety of oceanographic time-series data. First, CMGP completed the transition of the its oceanographic time-series database to a self-documenting NetCDF (Rew et al., 1997) data format. Second, CMGP’s oceanographic data variety and complexity have been greatly expanded from traditional 2-dimensional, single-point time-series measurements (e.g., Electro-magnetic current meters, transmissometers) to more advanced 3-dimensional and profiling time-series measurements due to many new acquisitions of modern instruments such as Acoustic Doppler Current Profiler (RDI, 1996), Acoustic Doppler Velocitimeter, Pulse-Coherence Acoustic Doppler Profiler (SonTek, 2001), Acoustic Bacscatter Sensor (Aquatec, 1001001001001001001). In order to accommodate the NetCDF format of data from the new instruments, a software package of processing, analyzing, and visualizing time-series oceanographic data was developed. It is named CMGTooL. The CMGTooL package contains two basic components: a user-friendly GUI for NetCDF file analysis, processing and manipulation; and a data analyzing program library. Most of the routines in the library are stand-alone programs suitable for batch processing. CMGTooL is written in MATLAB computing language (The Mathworks, 1997), therefore users must have MATLAB installed on their computer in order to use this software package. In addition, MATLAB’s Signal Processing Toolbox is also required by some CMGTooL’s routines. Like most MATLAB programs, all CMGTooL codes are compatible with different computing platforms including PC, MAC, and UNIX machines (Note: CMGTooL has been tested on different platforms that run MATLAB 5.2 (Release 10) or lower versions. Some of the commands related to MAC may not be compatible with later releases of MATLAB). The GUI and some of the library routines call low-level NetCDF file I/O, variable and attribute functions. These NetCDF exclusive functions are supported by a MATLAB toolbox named NetCDF, created by Dr. Charles Denham . This toolbox has to be installed in order to use the CMGTooL GUI. The CMGTooL GUI calls several routines that were initially developed by others. The authors would like to acknowledge the following scientists for their ideas and codes: Dr. Rich Signell (USGS), Dr. Chris Sherwood (USGS), and Dr. Bob Beardsley (WHOI). Many special terms that carry special meanings in either MATLAB or the NetCDF Toolbox are used in this manual. Users are encouraged to read the documents of MATLAB and NetCDF for references.

Open-File Report↗
USGS2015

Behavior, passage, and downstream migration of juvenile Chinook salmon from Detroit Reservoir to Portland, Oregon, 2014–15

An evaluation was conducted to estimate dam passage survival of juvenile Chinook salmon ( Oncorhynchus tshawytscha ) at Detroit Dam during a period of spill. To estimate dam passage survival, we used a paired-release recapture study design and released groups of tagged fish upstream (997 fish) and downstream (625 fish) of Detroit Dam. A total of 43 fish (6.8 percent) passed Detroit Dam from the upstream release group and passage occurred through regulating outlets (54.8 percent), spill bays (31.0 percent), and turbines (14.3 percent). We do not present dam passage survival estimates from 2014 because these estimates would have been highly uncertain due to the low number of fish that passed Detroit Dam during the study. Secondary objectives were addressed using data collected from tagged fish that were released at the downstream release site. Juvenile salmonids have multiple passage options at the Bennett Dam complex, which includes a series of dams and braided channels. A pair of Passive Integrated Transponder (PIT) monitoring arrays were installed at Upper Bennett Dam and in the Stayton Canal by the U.S. Army Corps of Engineers and the Oregon Department of Fish and Wildlife during 2014. We deployed acoustic telemetry hydrophones near these arrays to detect acoustic-tagged fish from our study and used these detections to quantify proportions of tagged fish passing through the two routes. About one-fourth (0.257) of the tagged fish that were released downstream of Big Cliff Dam were detected on the new PIT tag array while passing the Bennett Dam complex. A total of 402 acoustic-tagged fish were detected at the complex and many (248 fish; 62 percent) eventually entered the Stayton Canal. Median residence time in the canal was 6.5 hours, but 12.7 percent of the fish had extended residence times (7–37 days). Passage also was monitored at the Sullivan Project at Willamette Falls and about 40 percent (0.398) of the tagged fish passing the project were detected on the PIT tag array. A Cormack-Jolly-Seber mark-recapture model was developed to provide reach-specific survival estimates for juvenile Chinook salmon. A portion of the tagged population overwintered in the Willamette River Basin and outmigrated several months after release. As a result, survival estimates from the model would have been negatively biased by factors such as acoustic tag failure and tag loss. Data from laboratory studies were incorporated into the model to provide survival estimates that accounted for these factors. In the North Santiam River between Minto Dam and the Bennett Dam complex, a distance of 37.2 kilometers, survival was estimated to be 0.844 (95-percent confidence interval 0.795–0.893). The survival estimate for the 203.7 kilometer reach between the Bennett Dam complex and Portland, Oregon, was 0.279 (95-percent confidence interval 0.234–0.324), and included portions of the North Santiam, Santiam, and Willamette Rivers. The cumulative survival estimate in the 240.9 kilometer reach from the Minto Dam tailrace to Portland was 0.236 (95-percent confidence interval 0.197–0.275).

Oregon↗
USGS2017

Spatial and temporal distribution of bull trout ( Salvelinus confluentus )-size fish near the floating surface collector in the North Fork Reservoir, Oregon, 2016

Acoustic cameras were used to assess the behavior and abundance of bull trout ( Salvelinus confluentus )-size fish at the entrance to the North Fork Reservoir juvenile fish floating surface collector (FSC). The purpose of the FSC is to collect downriver migrating juvenile salmonids at the North Fork Dam, and safely route them around the hydroelectric projects. The objective of the acoustic camera component of this study was to assess the behaviors of bull trout-size fish observed near the FSC, and to determine if the presence of bull trout-size fish influenced the collection or abundance of juvenile salmonids. Acoustic cameras were deployed near the surface and floor of the entrance to the FSC. The acoustic camera technology was an informative tool for assessing abundance and spatial and temporal behaviors of bull trout-size fish near the entrance of the FSC. Bull trout-size fish were regularly observed near the entrance, with greater abundances on the deep camera than on the shallow camera. Additionally, greater abundances were observed during the hours of sunlight than were observed during the night. Behavioral differences also were observed at the two depths, with surface fish traveling faster and straighter with more directed movement, and fish observed on the deep camera generally showing more milling behavior. Modeling potential predator-prey interactions and influences using collected passive integrated transponder (PIT) -tagged juvenile salmonids proved largely unpredictable, although these fish provided relevant timing and collection information. Overall, the results indicate that bull trout-size fish are present near the entrance of the FSC, concomitant with juvenile salmonids, and their abundances and behaviors indicate that they may be drawn to the entrance of the FSC because of the abundance of prey-sized fish.

Oregon↗
USGS1976

Physical constraints on sounds generated by very small earthquakes

Vertical vibrations of the ground surface due to elastic waves from an earthquake will generate acoustic pressure waves in the overlying atmosphere. Sufficiently intense vibrations of the ground at frequencies greater than about 20 HZ can produce pressure waves that are within the audible range of many animals, including humans. People in the epicentral region of moderate to large earthquakes, for instance, commonly relate hearing sounds accompanying individual earthquakes (here we exclude sounds associated with mechanical resonances in structures such as houses). Descriptions of these sounds range from the report of distant guns to the rumble of thunder or the rushing of a wind (Davison, 1938; Lanchow Seismological Brigade, Appendix II). In many instances, the sounds are described as starting several seconds before the earthquake is felt. Experimental and theoretical verification that such earthquake sounds are generated by high-frequency ground motion from local earthquakes is based on simultaneous acoustic and seismic recordings recently obtained during a swarm of earthquakes in the Imperial Valley, California (Hill and others, 1976). These results show that for local earthquakes in the magnitude range 2 to-3, audible sounds are generated by the first arriving compressional (P) wave while perceptible shaking begins with the larger but slower shear (S) wave, explaining the reports that "earthquake sounds" are frequently heard several seconds before the earthquake is felt. A commonly proposed explanation for alleged anomalous animal behavior hours to days prior to large earthquakes suggests that animals with acute, high-frequency hearing respond to weak '''ultrasonic" sounds generated by small earthquakes occurring in the epicentral region of the impending event. Such earthquakes are presumably too small to be either felt or heard by humans in the region and too small to be routinely recognized as earthquakes on seismograms recorded on a local seismograph network. Evidence that such "popping and cracking" may occur in the region of an impending earthquake comes from laboratory experiments in which the rate of microfracturing in a rock sample subjected to large stress differences increases dramatically before catastrophic failure of the sample (Scholz, 1968; Stesky, 1975). In this paper we investigate the following question: What are the constraints on earthquake size (fault dimension and displacement) and hypocentral distance (distance from the earthquake focus to a point on the Earth's surface) such that animals noted for their acute hearing might react to the sound generated by the event while the same event would go undetected by humans (either by feeling, hearing, or routine identification on a local seismograph network)? Factors to be considered include: 1) the nature of the displacement spectral amplitudes of elastic waves radiated from an earthquake, 2) the effects of attenuation on the spectral components of elastic (seismic) waves over propagation paths from the focus to the Earth's surface, 3) the appropriate scaling of spectral amplitudes from moderate to very small earthquakes, 4) the coupling of elastic waves in the Earth to acoustic waves in the atmosphere, and 5) the threshold-of-hearing characteristics for various animals, including man. In considering these factors, we will find that, except for extremely small, shallow "earthquakes" (fracture dimension on the order of 10 cm and focal depths on the order of 10 m), acoustic emissions from premonitory fracturing ought to be equally audible to both people and animals in the immediate area of the fracturing.

Open-File Report↗
USGS2010

A parametric study of the January 2006 explosive eruptions of Augustine Volcano, using seismic, infrasonic, and lightning data: Chapter 4 in The 2006 eruption of Augustine Volcano, Alaska

A series of 13 explosive eruptions occurred at Augustine Volcano, Alaska, from January 11&ndash;28, 2006. Each lasted 2.5 to 19 minutes and produced ash columns 3.8 to 13.5 km above mean sea level. We investigated various parameters to determine systematic trends, including durations, seismic amplitudes, frequency contents, signal characteristics, peak acoustic pressures, ash column heights, lightning occurrence, and lengths of pre-event and post-event quiescence. Individual tephra volumes are not known. There is no clear correlation between acoustic peak pressure and ash column height or between peak seismic amplitude and duration. However, several trends are evident. Two events, January 11 at 0444 AKST (1344 UTC) and January 27 at 2337 AKST (0837 UTC) are short (180 and 140 seconds) and have very impulsive onsets and high acoustic peak pressures of 93 and 105 Pa, as well as high peak seismic amplitudes. We interpret these to be mainly gas releases. Two of the largest events followed quiescent intervals of 3 days or longer: January 17 at 0758 AKST (1658 UTC), and January 27 at 2024 AKST (January 28 at 0524 UTC). These two events had reduced displacements ( D R ) of 11.4 and 7.5 cm 2 , respectively. Although these D R values are typical for eruptions with ash columns to 9 to 14 km, most other D R values of 1.6 to 3.6 cm 2 are low for the 7.0 to 10.5 km ash column heights observed. The combination of short durations, small D R and high ash columns suggests that these events are highly explosive, in agreement with Vulcanian eruption type. Several events had long durations on individual seismic stations but not on others; we interpret these to represent pyroclastic or other flows passing near the affected stations so that tractions or momentum exchange from the cloud or flow adds energy to the ground only near those stations. The eruption on January 27 at 2024 AKST had more than 300 lightning flashes, whereas the following eruptions on January 28 at 0204 AKST and 0742 AKST had only 28 and 6 lightning flashes. The 2024 AKST eruption had a longer duration (1,180 versus <460 seconds), a higher ash column height (10.5 versus 7.0&ndash;7.2 km) and higher acoustic peak pressure (83 versus 66 and 24 Pa). The data suggest that the lightning-rich 2024 AKST eruption produced more tephra than the following eruptions, hence there were more charge carriers injected to the atmosphere. Seismic signals preceded the infrasound signals by 0 to 5 seconds with no obvious pattern in terms of the above groupings. The explosive eruption phase overlapped with the subsequent continuous phase by about 2 days. Parametric data may be useful to estimate eruption conditions in near real time.

Alaska↗
USGS2006

Computation and error analysis of discharge for the Lake Michigan Diversion Project in Illinois: 1997-99 water years

Acoustic velocity meters (AVM's) and acoustic Doppler current profilers (ADCP's) were used to measure streamflow at four streamflow-gaging stations in the Chicago River system. The streamflow data were used to compute discharge and to determine the uncertainty in the computed annual mean discharge at each station for the Lake Michigan Diversion Project in Illinois. Descriptions of the instrumentation at each station, stage-area and index-velocity ratings, and methods utilized for computing discharge and estimating missing record are given. Daily mean and annual mean discharges were computed for each station for 1997-99 water years (WY's). A water year is defined as the 12-month period from October 1 through September 30. The water year is designated by the calendar year in which it ends and which includes 9 of the 12 months. Thus, the year ending September 30, 1999, is called the 1999 water year. A first-order error analysis was applied to acoustic velocity meter (AVM) data, stage-area, and index-velocity ratings at each streamflow-gaging station. The error analysis results indicate that the uncertainty is sensitive to the value of uncertainty associated with acoustic Doppler cur-rent profiler (ADCP) discharge measurement data. At the Chicago River at Columbus Drive at Chicago, Illinois station for the 1997-99 WY's, the uncertainty, expressed as a standard deviation of the average annual discharge, ranged from 13 to 18 cubic feet per second (ft3/s) when ADCP uncertainty was not included, whereas total uncertainty ranged from 55 to 69 ft3/s when ADCP uncertainty was included. At the Chicago Sanitary and Ship Canal at Romeoville, Illinois station for the 1997-99 WY's, the uncertainty ranged from 18 to 20 ft3/s when ADCP uncertainty was not included, whereas it ranged from 64 to 68 ft3/s when it was included. At the Calumet River below O'Brien Lock and Dam at Chicago, Illinois station for the 1997-99 WY's, the uncertainty ranged from 13 to 22 ft3/s when ADCP uncertainty was not included, whereas it ranged from 35 to 53 ft3/s when it was included. At the North Shore Channel at Wilmette, Illinois station for the 1997-99 WY's, when the record was entirely estimated, the uncertainty ranged from 8 to 12 ft3/s when the ADCP uncertainty was not included, and from 16 to 17 ft3/s when it was included. For the 2000 WY, the estimated uncertainty was 8.6 ft3/s when ADCP uncertainty is not included and 12.5 ft3/s when ADCP uncertainty was included.

Illinois↗
USGS2018

Characterizing variability in vertical profiles of streamwise velocity and implications for streamgaging practices in the Chicago Sanitary and Ship Canal near Lemont, Illinois, January 2014 to July 2017

A critical component of the Lake Michigan Diversion Accounting program, which oversees the diversion of Great Lakes water by the State of Illinois, is the U.S. Geological Survey streamgage on the Chicago Sanitary and Ship Canal near Lemont, Illinois. The long-term application of an up-looking acoustic Doppler current profiler at this streamgage allows the flows at this study site to be examined from a new perspective: one that is not possible with the horizontally oriented instruments typically used at the site. This report presents results from more than 3.5 years of continuous monitoring data from the up-looking acoustic Doppler current profiler deployed at the study site, which allowed variability in the vertical profile of streamwise velocity to be characterized over a wide range of highly unsteady flows. These data revealed seasonal, density-driven underflows correlated with a combination of environmental variables. Two new methods for computing discharge were developed using this instrument and were determined to be of sufficient quality for Lake Michigan Diversion Accounting purposes. Finally, the up-looking acoustic Doppler current profiler and a barge-detection camera allowed the effect of commercial tows on streamgaging at the site to be evaluated. The addition of the up-looking acoustic Doppler current profiler to the U.S. Geological Survey streamgage on the Chicago Sanitary and Ship Canal near Lemont, Illinois, has ensured the best current engineering practices and scientific knowledge are implemented in the Lake Michigan Diversion Accounting program in accordance with the U.S. Supreme Court decree of 1967, as amended in 1980.

Illinois↗
USGS2020

Incipient bed-movement and flood-frequency analysis using hydrophones to estimate flushing flows on the upper Colorado River, Colorado, 2019

In 2019, the U.S. Geological Survey, in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group, studied the magnitude and recurrence interval of streamflow (discharge) needed to initiate bed movement of gravel-sized and finer sediment in a segment of the Colorado River in Colorado to better understand sediment movement and its relation to flow regimes of the river. The study area extended from the confluence of the Blue and Colorado Rivers near Kremmling, Colorado, downstream to the confluence of the Eagle and Colorado Rivers near Dotsero, Colo. Bed movement occurred more frequently and at lower streamflows from State Bridge to Catamount Bridge compared to the study area upstream from State Bridge. As a result, the flushing flow was characterized in the study area using two definitions: the “upstream flushing flow” for locations above State Bridge and the “downstream flushing flow” for locations below State Bridge. Acoustic data from stationary hydrophones continuously deployed in the spring and summer of 2019 and longitudinal hydrophone acoustic profiles manually collected in summer 2019 were used to identify the streamflow needed for incipient gravel-bed movement and establish flushing flows defined for this study. The upstream flushing flow was defined as 3,000 cubic feet per second (ft 3 /s) at streamgage 09058000 Colorado River near Kremmling, Colo. (the Kremmling streamgage) based on the underwater acoustic data from the downstream location at the Radium stationary site (2,950 ft 3 /s at the Kremmling streamgage which was rounded to 3,000 ft 3 /s). The downstream flushing flow was defined as 2,400 ft 3 /s at the Kremmling streamgage or 3,100 ft 3 /s at streamgage 09060799 Colorado River at Catamount Bridge, Colo. (the Catamount Bridge streamgage) based on the more conservative streamflow associated with the flushing flow defined using underwater acoustic data from the downstream location at the above Catamount Bridge stationary site (2,310 ft 3 /s at the Kremmling streamgage which was rounded to 2,400 ft 3 /s and 3,040 ft 3 /s at the Catamount Bridge streamgage which was rounded to 3,100 ft 3 /s). The annual series of peak-streamflow data at the Kremmling streamgage were used to estimate annual exceedance probability (AEP) streamflows to compare to the flushing flow. Results from the Denver Water Platte and Colorado Simulation Model were used to generate daily peak-streamflows for a future conditions scenario provided for this report. The upstream flushing flow of approximately 3,000 ft 3 /s at the Kremmling streamgage has an AEP near 0.50 (2-year return period) depending on the period of historical record and an AEP near 0.43 (2.33-year return period) for the future period. The downstream flushing flow of approximately 2,400 ft 3 /s at the Kremmling streamgage has an AEP near 0.67 (1.5-year return period) depending on the period of historical record and an AEP near 0.67 (1.5-year return period) for the future period.

Colorado↗
USGS2016

Habitat selection by green turtles in a spatially heterogeneous benthic landscape in Dry Tortugas National Park, Florida

We examined habitat selection by green turtles Chelonia mydas at Dry Tortugas National Park, Florida, USA. We tracked 15 turtles (6 females and 9 males) using platform transmitter terminals (PTTs); 13 of these turtles were equipped with additional acoustic transmitters. Location data by PTTs comprised periods of 40 to 226 d in varying months from 2009 to 2012. Core areas were concentrated in shallow water (mean bathymetry depth of 7.7 m) with a comparably dense coverage of seagrass; however, the utilization distribution overlap index indicated a low degree of habitat sharing. The probability of detecting a turtle on an acoustic receiver was inversely associated with the distance from the receiver to turtle capture sites and was lower in shallower water. The estimated daily detection probability of a single turtle at a given acoustic station throughout the acoustic array was small (<0.1 in any year), and that of multiple turtle detections was even smaller. However, the conditional probability of multiple turtle detections, given at least one turtle detection at a receiver, was much higher despite the small number of tagged turtles in each year (n = 1 to 5). Also, multiple detections of different turtles at a receiver frequently occurred within a few minutes (40%, or 164 of 415, occurred within 1 min). Our numerical estimates of core area overlap, co-occupancy probabilities, and habitat characterization for green turtles could be used to guide conservation of the area to sustain the population of this species.

Florida↗
USGS2009

Three-dimensional movement of silver-phase American eels in the forebay of a small hydroelectric facility

Declines in the population of the American eel, Anguilla rostrata , along the northwestern Atlantic have stimulated resource managers to consider the impact of hydroelectric facilities on silver-phase eels as they migrate downstream to the sea. During the fall of 2002, we investigated the movement of migrant eels passing downstream of a small hydroelectric facility on the Connecticut River (Massachusetts). We used three-dimensional acoustic telemetry to monitor fine-scale movement of telemetered silver eels in the forebay (the first 100 m of area directly upstream of the dam). Eel movements were tracked approximately every three seconds, and individual swimming pathways were reconstructed to compare the three-dimensional results with biotelemetry methods previously used at this site; conventional telemetry systems included radio, PIT, and acoustic telemetry. We found that three-dimensional acoustic telemetry provided the necessary fine-scale resolution to characterize dominant movement patterns and locations of passage. Eels were detected at all depths throughout the forebay; however, they spent the greatest proportion of their time near the bottom, with occasional vertical movements to the surface. Eels exhibited a range of movements interpreted to be downstream searching behavior, including altered vertical and horizontal positions at or near the trash racks and various looping movements directly upstream of the trash racks and throughout the entire forebay. A substantial number of these eels (28%) were detected re-entering the acoustic array on multiple dates before passing the station. The majority (89%) were detected passing downstream of the dam through the turbines.

Book chapter↗
USGS2012

A history of telemetry in fishery research

Biotelemetry has been defined as “the instrumental technique for gaining and transmitting information from a living organism and its environment to a remote observer” (Slater 1965). Biotelemetry typically utilizes wireless transmission of either an audible signal or electronic data to determine location of a tagged animal. Fisheries researchers use location information to gain a variety of insights into migration, habitat use, behavior, productivity, or survival of fish. Biotelemetry can be divided into two basic categories, acoustic or radio, based on mode of transmission, mechanical or electromagnetic energy, and operating frequency. Most acoustic systems in use today transmit at low frequency, between 30 and 300 kHz, while most radio systems transmit at very high frequency, between 30 and 300 MHz (Sisak and Lotimer 1998). Acoustic telemetry is based on the principals of sonar (sound navigation and ranging), which was developed to detect submarines during World War I. The properties of acoustic systems favor their use in deep waters with high conductivity and low turbulence (Winter 1996). Radio telemetry is based on the principals of wireless radio communication, which were first demonstrated by Nikola Tesla in 1893. Radio systems are best suited in shallow waters with relatively low conductivity but have the added benefit of improved signal detection in turbulent conditions and with aerial antennas. Advances in both technologies have resulted in highly efficient transmitter and receiving systems. Advancements in products used for animal telemetry over the past 50 years have generally followed those in the electronics field (Figure 1). Bell Laboratories1 ushered in the age of digital electronics with the invention of the transistor in 1947 (Mann 2000). Today transistors are common in everyday items such as radios, televisions, hearing aids, computers, cell phones and even MP3 players. Consumer demand for inexpensive small electronic devices with increased functionality has continually driven advancements in the field of electronics. These advancements have subsequently led to improvements in biotelemetry transmitters and receivers such as miniaturization of components, increased battery performance, and more powerful micro-processing.

Book chapter↗
USGS2015

Hydroacoustic signatures of Colorado Riverbed sediments in Marble and Grand Canyons using multibeam sonar

Characterizing the large-scale sedimentary make-up of heterogeneous riverbeds (Nelson et al., 2014), which consist of a patchwork of sediment types over small scales (less than one to several tens of meters) (Dietrich and Smith, 1984) requires high resolution measurements of sediment grain size. Capturing such variability with conventional physical (e.g. grabs, cores, and dredges) or underwater photographic sampling (Rubin et al., 2007; Buscombe et al., 2014a) would be prohibitively costly and time-consuming. However, characterizing bed sediments using high-frequency (several hundred kilohertz) acoustic backscatter from swath-mapping systems has the potential to provide near complete coverage of the bed (Brown and Blondel, 2009; Brown et al., 2011; Snellen et al., 2013), at resolutions down to a few centimeters, which photographic sampling could not practically achieve within the same time and with the same positional accuracy. In shallow water, the physics of high frequency scattering of sound are relatively poorly understood, therefore acoustic sediment classification are almost always statistical (Snellen et al., 2013). Many such methods proposed to date are designed for characterizing large areas of seabed (Brown and Blondel, 2009; Brown et al., 2011) at relatively poor resolution (tens of meters to several hundred meters) and therefore rely on aggregation of data over scales much larger than the typical scales of sediment patchiness on heterogeneous riverbeds. In response to this need, Buscombe et al. (2014b, 2014c) developed a new statistical method for acoustic sediment classification based on spectral analysis of backscatter. This method is both continuous in coverage and of sufficient resolution (order meter or less) to characterize sediment variability on patchy riverbeds. Here, we apply these methods to multibeam echosounder (MBES) data collected from the bed of the Colorado River in Marble and Grand Canyons. Sediment dynamics on the Colorado River in Grand Canyon National Park have been studied for several decades (e.g. Howard and Dolan, 1981; Rubin et al., 2002). Particular focus has been given to sandbars in large eddies downstream of tributary debris fans (Schmidt, 1990) because they are considered valuable resources by stakeholders and managers. Due to the severe limitations in sand supply imposed by Glen Canyon Dam (Howard and Dolan, 1981; Topping et al., 2000; Hazel et al., 2006), understanding the effectiveness of sandbar management practices, such as controlled floods (Rubin et al. 2002; Topping et al., 2006; Hazel et al., 2010), and the long-term fate of sand in Grand Canyon over decadal timescales, requires construction of accurate sand budgets, which involves detailed monitoring of influx, efflux and changes in sand storage (Topping et al., 2000; Topping et al., 2010; Grams et al., 2013) and assessments of uncertainties in sand-budget calculations (Grams et al., 2013). In order to estimate the sand budget, it is necessary to estimate what component of observed morphological changes is sand and what component is coarser. Grams et al. (2013) classified sand and coarse substrates using topographic roughness derived from digital elevation models, but the classification skill was estimated to be only 60-70%. In addition, sand bedforms had to be delineated manually, and validation was based on grain-size observations with positional uncertainties up to tens of meters. Because the morphology of the Colorado riverbed in Grand Canyon is mapped - to a large extent - using MBES (Kaplinski et al., 2009), the primary motivation for the present study is to examine how uncertainties in sand budgets can be constrained by producing maps of surface sediment types using the completely automated methods of Buscombe et al (2014b, 2014c) based on statistical analysis of MBES acoustic backscatter.

Arizona↗
USGS2011

Well log characterization of natural gas hydrates

In the last 25 years we have seen significant advancements in the use of downhole well logging tools to acquire detailed information on the occurrence of gas hydrate in nature: From an early start of using wireline electrical resistivity and acoustic logs to identify gas hydrate occurrences in wells drilled in Arctic permafrost environments to today where wireline and advanced logging-while-drilling tools are routinely used to examine the petrophysical nature of gas hydrate reservoirs and the distribution and concentration of gas hydrates within various complex reservoir systems. The most established and well known use of downhole log data in gas hydrate research is the use of electrical resistivity and acoustic velocity data (both compressional- and shear-wave data) to make estimates of gas hydrate content (i.e., reservoir saturations) in various sediment types and geologic settings. New downhole logging tools designed to make directionally oriented acoustic and propagation resistivity log measurements have provided the data needed to analyze the acoustic and electrical anisotropic properties of both highly inter-bedded and fracture dominated gas hydrate reservoirs. Advancements in nuclear-magnetic-resonance (NMR) logging and wireline formation testing have also allowed for the characterization of gas hydrate at the pore scale. Integrated NMR and formation testing studies from northern Canada and Alaska have yielded valuable insight into how gas hydrates are physically distributed in sediments and the occurrence and nature of pore fluids (i.e., free-water along with clay and capillary bound water) in gas-hydrate-bearing reservoirs. Information on the distribution of gas hydrate at the pore scale has provided invaluable insight on the mechanisms controlling the formation and occurrence of gas hydrate in nature along with data on gas hydrate reservoir properties (i.e., permeabilities) needed to accurately predict gas production rates for various gas hydrate production schemes.

Conference Paper↗
USGS2015

A comparison of survey methods for documenting presence of Myotis leibii (Eastern Small-Footed Bats) at roosting areas in Western Virginia

Many aspects of foraging and roosting habitat of Myotis leibii (Eastern Small-Footed Bat), an emergent rock roosting-obligate, are poorly described. Previous comparisons of effectiveness of acoustic sampling and mist-net captures have not included Eastern Small-Footed Bat. Habitat requirements of this species differ from congeners in the region, and it is unclear whether survey protocols developed for other species are applicable. Using data from three overlapping studies at two sampling sites in western Virginia’s central Appalachian Mountains, detection probabilities were examined for three survey methods (acoustic surveys with automated identification of calls, visual searches of rock crevices, and mist-netting) for use in the development of “best practices” for future surveys and monitoring. Observer effects were investigated using an expanded version of visual search data. Results suggested that acoustic surveys with automated call identification are not effective for documenting presence of Eastern Small-Footed Bats on talus slopes (basal detection rate of 0%) even when the species is known to be present. The broadband, high frequency echolocation calls emitted by Eastern Small-Footed Bat may be prone to attenuation by virtue of their high frequencies, and these factors, along with signal reflection, lower echolocation rates or possible misidentification to other bat species over talus slopes may all have contributed to poor acoustic survey success. Visual searches and mist-netting of emergent rock had basal detection probabilities of 91% and 75%, respectively. Success of visual searches varied among observers, but detection probability improved with practice. Additionally, visual searches were considerably more economical than mist-netting.

Virginia Journal of Science↗
USGS2019

Monitoring long-term changes in forage fish distribution, abundance and body condition

We collected data on forage fish abundance, distribution and body condition in Prince William Sound, Alaska during summers in 2012 through 2016. This included acoustic – trawl surveys, aerial-acoustic surveys, opportunistic sampling where we encountered forage aggregations, and concurrent measurements of forage fish habitat. Acoustic indices of density suggest low abundance of age-0 walleye pollock (Gadus chalcogrammus), capelin (Mallotus villosus), and krill (Euphausiacea), but higher abundance of age-0 (< 80 mm), age-1 (80-140 mm) herring, and gelatinous zooplankton in 2015. Aerial school density of adult herring was highest in 2015 compared to 2014 or 2016, but acoustic indices of adult Pacific herring (Clupea pallasii) did not follow the same pattern. Weight-length-age relationships differed significantly among years for capelin and Pacific sand lance (Ammodytes personatus), with higher body condition in 2013 and 2012 than in 2014 and 2015. This work has provided information on prey resources in coastal areas of the Gulf of Alaska that is consistent with recent observations in the larger Gulf of Alaska region. Ongoing analyses will be important in understanding the marine ecosystem response to anomalously warm conditions beginning in 2014.

Alaska↗
USGS2019

Status of pelagic prey fishes in Lake Michigan, 2018

Acoustic surveys were conducted in late summer/early fall during the years 2004-2018 to estimate pelagic prey fish biomass in Lake Michigan. Midwater trawling during the surveys as well as acoustic target strength provided a measure of species and size composition of the fish community for use in scaling acoustic data and providing species-specific abundance estimates. The 2018 survey consisted of 33 acoustic transects 648 km total (403 miles) and 52 midwater trawl tows. Bottom depth at sampling sites ranged from 5 to 245 m (16-804 ft). Mean prey fish biomass density was 8.5 kg/ha, which was 1.9 times higher than in 2017 and 2.4 times the long-term (15 years) mean. The numeric density of the 2018 alewife year-class was 52% of the time series average and 1.8 times the 2017 density. The 2018 cohort was 7% of total alewife biomass (5.2 kg/ha). In 2018 alewife comprised 61% of total prey fish biomass, while rainbow smelt and bloater were 2% and 37% of total biomass, respectively. Small bloater were extremely rare in 2018 and were only caught near Frankfort, Michigan. Their density (< 1 fish/ha) in 2018 was the lowest observed in the 2004-2018 period. Biomass density of rainbow smelt and bloater remain well below observed in the 1980s-1990s. Cisco are infrequently caught in this survey, including the past two years. In 2018 three adult fish were caught (> 400 mm), with two in Grand Traverse Bay and one south of Manistique, Michigan. These results indicate that cisco density is very low at the lake level.

Lake Michigan↗
USGS2024

Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023

Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife ( Alosa pseudoharengus ), Bloater ( Coregonus hoyi ), Rainbow Smelt ( Osmerus mordax ), Deepwater Sculpin ( Myoxocephalus thompsonii ), Slimy Sculpin ( Cottus cognatus ), Round Goby ( Neogobius melanostomus ), Ninespine Stickleback ( Pungitius pungitius )] as well as age-0 Yellow Perch ( Perca flavescens ) and large (> 350 mm) Burbot ( Lota lota ). The AC survey has been conducted each late summer/early fall since 2004, and the 2023 survey consisted of 20 transects [450 km total (336 miles)] covering bottom depths ranging from 12 to 248 m and 29 midwater trawl tows above bottom depths ranging 16 to 246 m; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks. A spring bottom trawl survey (spring BT) was implemented across 3 of the transects sampled in the fall and sites ranged in depth from 18 to 164 m. The goal of the spring BT is to explore seasonal differences in biomass density and distributions of key prey species, most notably Alewife. Additionally, we conducted acoustic sampling while bottom trawling to evaluate the vertical distribution of fish relative to the height of the trawl. The abbreviated spring BT survey results indicated that Alewives were primarily offshore with peak biomass density at the 91 m bottom depth. There was no evidence of higher acoustic density above the trawl at depths of 18, 73, 128, and 146 m. At 91 and 164 m, acoustic density above the trawl was >2x that in the trawl path, but sample size at these two depths was low. For the AC survey, total biomass density of prey fish equaled 14.8 kg/ha, 223% higher than the longterm average (2004-2022) of 4.6 kg/ha and 8.8 kg/ha higher than the 2022 estimate. For the fall BT, total biomass density of prey fish equaled 3.6 kg/ha, about 50% lower than the average value from 2004-2022 (6.9 kg/ha). The 2023 fall BT biomass was an order of magnitude lower than the average over the entirety of the time series (1973-2022; 33.7 kg/ha). Bloater was the dominant species (by biomass) among prey fishes in the fall BT, while the AC survey reported dominance of Alewife. Mean biomass of yearling and older (YAO) Alewife was 10.3 kg/ha in the AC survey, and 0.7 kg/ha in the fall BT. Since 2014, catchability of YAO Alewives for the fall BT has been substantially lower than the AC survey. While limited in scope, the results of the 2023 spring BT do not suggest that catchability is substantially higher in the spring than the fall, which aligns with the 2022 survey results. Comparing the AC estimate to previous years, YAO Alewife biomass was 359% higher than the average from 2004-2022. Numeric density of age-0 Alewife from the AC survey was 1,205 fish/ha in 2023, which is the third highest in the time series and well above the long-term mean of 428 fish/ha. Biomass density of large (≥120 mm) Bloater in 2023 was 3.5 kg/ha in the AC survey and 2.1 kg/ha in the fall BT - each at least an order of magnitude lower than what was estimated by the fall BT between 1985 and 1997. Following a record high year in 2021 (1,034 fish/ha), the numeric density of small (<120 mm) Bloater was 142 fish/ha in the AC survey, similar to the long-term mean of 120 fish/ha. Meanwhile, small Bloater density estimated in the fall BT was 2 fish/ha. Biomass density of large Rainbow Smelt (≥90 mm) was <0.05 kg/ha in the AC and fall BT surveys, continuing the trend of low Rainbow Smelt biomass that has been observed since 2001. Numeric density of small (<90 mm) Rainbow Smelt was 119 fish/ha in the AC survey and 7 fish/ha in the fall BT, indicating a weak year-class. All four prey fish species sampled only by the fall BT indicated below average biomass densities. Deepwater Sculpin biomass density was estimated at 0.4 kg/ha, which makes 13 of the past 14 years when biomass was <1 kg/ha. Slimy Sculpin was estimated at 0.02 kg/ha, only 5% of the long-term average. Round Goby was estimated at 0.3 kg/ha, below the average biomass of 0.85 kg/ha since 2008 but similar to intermittent low values observed throughout the dataset. Ninespine Stickleback density was 1 fish/ha. Only 35 small (<100 mm) Yellow Perch were caught, indicating a weak Yellow Perch year-class in 2023.

Lake Michigan↗
USGS2024

Status and trends of the Lake Huron prey fish community, 1976-2023

The U. S. Geological Survey-Great Lakes Science Center has monitored annual changes in the offshore (depth >9m) prey fish community of Lake Huron since 1973. Monitoring of prey fish populations in Lake Huron is based on a bottom trawl survey that targets demersal (benthic) species and an acoustic-midwater trawl survey that targets pelagic species and life stages. In 2023, Bloater ( Coregonus hoyi ) accounted for 77% of the main basin biomass in bottom trawls and 86% of the main basin biomass in the acoustics survey. Despite this sustained importance of native species in the main basin, species diversity is below desired levels. Bloater in the main basin has exhibited population growth and strong recruitment in recent years, and Cisco ( Coregonus artedi ) has exhibited increased biomass in the North Channel since 2015. In contrast non-native Alewife ( Alosa pseudoharengus ), whose population collapsed in 2004 and has not recovered, were less than 1% of fish biomass in 2023. Rainbow Smelt ( Osmerus mordax ) accounted for 7% of the main basin biomass in bottom trawls and 22% of the main basin biomass in the acoustics survey. Despite remaining the second-most abundant prey species in the main basin, Rainbow Smelt has not shown appreciable increases in biomass despite recent strong year classes. Deepwater Sculpin ( Myoxocephalus thompsonii ) increased by 47% in 2023 and were 33% of the long-term average. Slimy Sculpin ( Cottus cognatus ) increased to 60% of the long-term average but remained rare in bottom trawl catches. In contrast, biomass of Round Goby ( Neogobius melanostomus ), a non-native species similar ecologically to the sculpin species, remained near the record high biomass reached in 2022. Current lake conditions characterized by ongoing oligotrophication seem to favor native coregonines over non-native fishes. Use of complementary surveys (bottom trawl, acoustics) remains important for evaluating prey fish status in Lake Huron, where prey fish community dynamics vary by basin and prey fish responses to changing environmental conditions depend on species and/or habitat.

Lake Huron↗