Boat Source-Level Noise in Haro Strait: Relevance to Orca Whales

 

L. Galli, B Hurlbutt, W. Jewett, W. Morton, S. Schuster, Z. Van Hilsen

  

Abstract

 

Using a calibrated underwater hydrophone array located in the Haro Strait of Puget Sound, boat traffic noise was categorized and analyzed. Underwater sound spreading models were developed and applied to the collected boat noise observations. The boat noise levels at a reference distance of one meter from the sound source, shows that at higher engine RPM there is both a higher sound level and a the sound energy is distributed over a wider frequency. The source-level noise produced by the small boats observed, varies from 141dB to 161dB and the broadest frequency range observed was between 0.86 kHz to 8.0 kHz. Large commercial ships produced source levels of 180dB to 188dB with a frequency range from 0.1 kHz to 8 kHz. Both large ships  and small boats produce frequencies that overlap with Orca vocalizations. Further study is needed to determine how the noise produced by boat traffic is affecting Orca behavior and communication.

 

I. Introduction

 

Text Box:  

Fig. 1 Haro Strait, with San Juan Island and the Hydrophone array (OVAL) to the right.
The Haro Strait, located between San Juan Island and Vancouver Island in the Puget Sound, hosts a variety of marine life as well as a large human population. The strait’s most spectacular marine species is the Orca whale. Three pods of resident Orcas, fish eating whales that generally do not travel far, live in Haro Strait feeding on its salmon. These whales communicate by producing a rapid series of clicks used for navigation and echolocation of salmon (Balcomb) along with underwater vocalizations that may, among other things, alert each other to the presence of prey. Research is being done in Haro Strait to better understand the whales and their complex communications, which may shed light on the recent decline in the Southern Resident Orca population.

The Haro Strait is Western Canada’s principle shipping channel as well as a major recreational destination. Now, nearly a million more people live in the area than did ten years ago, increasing the strait’s traffic to hundreds of boats each day. As recreational travelers, fisherman, logs, sand, oil, and goods from Asia are transported through the strait, marine life may be negatively affected.

Human activity in Haro Strait produces underwater noise within the hearing and vocalization range of Orcas. At high intensities, this may have a large impact on the whales, but no studies have been conducted on human-made underwater noise levels in this region. The goal of our study was to collect the underwater source noise levels of boats using controlled experiments for small commercial, recreational, and research boats and in situ observations of large commercial ships passing through the strait. We recorded sound samples under a variety of conditions. Sound frequencies and intensities were then analyzed to determine the received noise level as a function of distance between the sound source and the recording hydrophone. This information was used to create a model for the transmission of underwater sound that predicts Orca noise exposure (intensity and frequency spectra) as a function of vessel operating conditions and range.

 

II. Materials and Methods

 

Text Box:  

Fig. 2 Map of hydrophone array
Recordings were conducted in the Haro Strait of Puget Sound with an array of four hydrophones over a three-week period in March 2003. The hydrophone array diagramed in Figure 2 is ordinarily used to localize Orca calls. It consists of one ITC-6050C hydrophone and three ITC-4066 hydrophones, both made by International Transducer Corporation (www.itc-transducers.com). The 6050C hydrophone is equipped with an internal preamp while the 4066 hydrophones use a custom built preamp designed to eliminate noise. These custom preamps, built by Colorado College students, use an AD524 chip to produce a gain of 100. The hydrophones are sensitive to frequencies ranging from 100 Hz-10 kHz, covering the range of most boat noise and Orca vocalizations.

            Computer programs developed by Dr. Val Veirs calculate the root mean square voltage and the frequency spectrum for signals from each hydrophone. The voltage displayed at the computer, Vc(rms), is a combination of the ambient ocean noise, Vb(rms), and the sound source we are measuring, Vs(rms). In order to accurately measure the sound level of a source, the background noise must be factored out. Statistical analysis of the root mean square yields[1],

Vs(rms) = (V2c(rms) - V2b(rms) )(1/2).

 
 

 

 

 


A. Obtaining Sound Source Intensities from Measured Voltages

 

To convert an RMS voltage at the computer into a sound intensity at the source, we measure the voltage gain from the hydrophone to the computer, convert the rms voltage at the hydrophone to an in water sound intensity at the hydrophone, and calculate the transmission loss of the underwater sound wave as it propagates from the source to the hydrophone (Fig. 3).

 

 

               Sound   Ž   Transmission Loss    Ž    Conversion    Ž    Amplifier Gain    Ž    Conversion

                 Wave            from Spreading                 to Volts                - Cable Loss               to rms Volts

 
 

 

 

 


Fig.3 The path taken by a sound wave from a point source to a V(rms) at the computer.

 

 

Text Box:  
Fig. 4 In a deep enough channel, sound spreads out equally in all directions.  This can be modeled well with spherical spreading.
Underwater sound spreads out as it propagates from a source. Transmission loss from the sound source to the hydrophones can be calculated using both a spherical and cylindrical spreading model. Both of these models are based on the idea that the sound intensity of the total sound surface area is conserved as it spreads. To conserve energy,

 

IsAs = IhAh.

 

Energy is conserved if the intensity at the source, Is, multiplied by the initial surface area of the wave, As, is equal to the intensity at the hydrophone, Ih, multiplied by the final surface area, Ah.

When the depth of the water is greater than the distance from the source to the hydrophone, sound propagates as a perfect sphere of radius R and area 4pR2 (Fig 4).

 

The sound intensity at a reference distance, Rs, from the source is found in terms of the intensity at the hydrophone and the distance from the source to the hydrophone, Rh.

 

Is = IhR2h/R2s

 

In our model the reference distance for source levels is Rs = 1 meter. Converting to decibels, where dB = 10logI, and simplifying,

 

dBs = 10logIh + 20logRh.

 

As outlined later, we know the pressure at the hydrophone, not the intensity. The intensity is proportional to the pressure squared. Converting to pressure, P, where 10logI = 20logP,

 

dBs = 20logP + 20logRh.

 

 

 

            A cylindrical spreading model may more accurately describe sound propagation when the depth of the water is less than the distance from the sound source to the hydrophone (Fig. 5). The sound will spread spherically until it reflects off of the ocean floor and surface. The speed of sound in water differs greatly from the speed of sound in the air and the ocean floor. Therefore, we treat the sound energy as totally reflected when encountering both the surface and the bottom. Bound vertically, the sound intensity only spreads horizontally creating a cylinder of radius R, height H, and area 2pRH. 

Fig. 5 As sound travels through a shallow channel, it reflects off the surface and floor.  After a certain distance, the sound is dispersed evenly in a vertical column.

 

Once again using the conservation of energy at Rs = 1, and canceling the common term 2pH,

 

Is = IhRh

 

dBs = 10logIh + 10logRh

 

The sound wave spreads spherically for some distance until transforming into a cylindrically spreading wave (Urick). The term 10logL is added to this equation to account for the fact that cylindrical spreading does not begin at the source[2].

 

dBs = 10logIh + 10logRh+10logL

 

In terms of pressure,

 

dBs = 20logP + 10logRh+10logL.

 

The sound wave compresses a crystal in the hydrophone and generates a voltage, Vh. This voltage is equal to a constant, the open circuit receiving response, multiplied by the pressure. The open circuit receiving response, Cr, is found on the hydrophone spec-sheet in logarithmic form. Solving for the pressure and taking Cr out of logarithmic form gives, Ph, the pressure at the hydrophone.

 

Ph = Vh/10^(Cr/20).

 

The voltage travels by wire from the hydrophone to an operational amplifier, which amplifies the signal before entering a National Instruments Board inside a Pentium PC. The board allows a computer to measure the voltages on the line. Voltage is attenuated on the long wires and amplified by the operational amplifier and the computer, resulting in a final voltage gain, g. Vh is equal to the final voltage at the computer, Vc, divided by the gain, so substituting this into the equation for pressure at the hydrophone,

 

Ph = Vc /(g*10^(Cr/20))

 

Substituting this pressure into the spherical and cylindrical models, the intensity of the sound source is given in decibels.

 

dBs = 20log (Vc(rms)/(g*10^(response/20))) + 20logRh                    (Spherical)

 

 
 

 

 

dBs = 20log (Vc(rms)/(g*10^(response/20))) + 10logRh + 10logL        (Cylindrical)

 

 
 

 

 


Water absorbs sound waves, but, consulting Urick, we concluded the waves are not significantly attenuated over the distance traveled in this experiment.

 

B. Calibration

 

 

The hydrophone array was calibrated by developing a sound intensity spreading model that fit data from an already calibrated speaker.  To find the most accurate model, we used a Lubell LL916 underwater speaker (www.lubell.com) with a calibration curve from the U.S. Navy (Fig. 6).  We broadcast a variety of tones and pulses that varied in amplitude, frequency, direction, depth, and distance from the hydrophones.  We recorded all of the sounds simultaneously with all four hydrophones.  After adjusting the signals received for both distance and gains and losses in the system using formulae stated above, we applied cylindrical spreading models for each hydrophone.  We compared our results with the calibration curve of the speaker, and found that a cylindrical spreading model with a spherical to cylindrical spreading transition distance, L, equal to the depth at the hydrophone, most accurately fit.  Though all four hydrophones had matched the Lubell transmit voltage response graph well, hydrophone 3, or H-3, fit the graph the best. (Fig. 7) We therefore used H-3 and the cylindrical spreading model, where L = 19m, to analyze our data. H-3 has a gain of g = 1500, and an open circuit receiving response of Cr = -193dB.

All of our testing occurred within 200 meters of the hydrophone array.  Our spreading models therefore do not apply to sounds that originate from much greater distances.  This means that ships traveling at approximately two kilometers over depths of up to 600 meters and variable ocean floor slopes require a different model.  A spherical spreading model yielded results that most closely agreed with previously published results.  Source levels from these ships are therefore only accurate as a relative comparison of one ship to another.

 


 


Fig. 6 The spec sheet for the Lubell LL916 speaker graphs transmit voltage response versus frequency on a logarithmic scale.

 

 

Fig. 7 The transmitted voltage response for H-3 calculated with the cylindrical spreading model in red with standard deviation error bars, closely fits the speaker’s actual transmitted voltage response shown in blue.

 

C. Data Collection

 

We made four passes over H-3 with six boats selected to represent a variety of boats that are often operated close to Orca whales. Passes were made back and forth from north to south, or parallel to the shore, and east to west, or away from and towards the shore. At least three recordings were made on each pass. A constant RPM was maintained during each pass, but RPM was changed from high (cruising) to low (moving slowly) from pass to pass. We also recorded each boat while idling. We chose to record high RPM and idling to get the full range underwater noise for each boat. We also recorded a lower RPM to have noise data for typical whale watching operating conditions. GPS positions were marked for each sound sample recorded at the computer. Ambient noise level was recorded for each situation. Boat type, engine type, and engine horsepower were noted for each boat.

We also made recorded the sounds from five large commercial vessels transiting Haro Strait. When recording passing ships we estimated the range with the reticule in a pair of Leitz binoculars. Operating conditions and engine types are unknown, but we photographed the tankers and noted their boat type, size, and direction of travel.

 

III. Results

 

            The experimental results are summarized in figure 8. Data was taken for the controlled boats on April 10, 2003, under near calm, quiet ocean conditions. Boat type and operating conditions are noted. Data was taken for the tankers under variable conditions on April 4 and April 7. Boat type is noted. Nothing is known about the operating conditions of the tankers. For all boats, the sound intensity at one meter from the source is given in decibels along with a range of frequencies that significantly contributed to the sound intensity.

 

A sound frequency spectrum displays the intensity of sound at various frequencies versus time. The spectrum indicates at what frequencies the sound is loudest. From the spectrum in Figure 9 we can see that the Annie Mae produces sound at a wide range of frequencies, .8-8 kHz, while the ship produced constant low frequency, 0-1 kHz, sound with a spike throughout higher frequencies at repeating intervals.

      It is difficult to understand what a sound file will sound like just from looking at the amplitude (voltage) vs. time.[3]
Controlled Boats:

Boat Name

Boat Type

Engine Type, Horsepower

Movement  relative to H-3

RPM

dB/ umPa/V @1m

Frequency Range (kHz)

Cat’s

Catamaran

Westerbeck

none (idle)

950

145

0.2 – 2

Cradle

 

Diesel, 27 HP

parallel

2000

147 + 2

0.2 – 3.1

 

 

 

parallel

3000

154 + 3

0.9 – 4.4

 

 

 

away

3100

151 + 1

0.5 –3.6

 

 

 

towards

3100

154 + 3

0.1 – 3.5

Stellar Sea

Whale

Twin 3208

none (idle)

700

148 + 1

0.2 – 1.8

 

Watch

Caterpillar

parallel

1900

158 + 1

0.2 – 1.6

 

 

inboard, 210

parallel

2400

162 + 3

0.2 – 4.6

 

 

HP

away

1900

156 + 1

0.2 – 2.5

 

 

 

towards

1900

157 + 1

0.2 – 3.0

Auklet

Flat

Mercury 90

none

Idle

141 + 2

0.5 – 1.7

 

Bottom

outboard, 90 HP

parallel

Medium speed

146 + 2

0.1 – 1.8

 

 

 

parallel

High speed

163 + 2

0.1 - 3

 

 

 

away

Medium speed

144 + 3

0.1 – 1.1

 

 

 

towards

Medium speed

143 + 1

0.1 – 1.3

Orca[4]

Flat

4-stroke

none (idle)

600

159

0.1 - 2

 

Bottom

outboard,

parallel

3000

159 + 5

0.1 – 3.64

 

Boston

115 HP

parallel

4500

156 + 2

0.2 – 4.4

 

Whaler

 

away

3000

158

0.1 – 4.2

 

 

 

towards

3000

158 + 1

0.1 – 5.1

Putt-Putt

Dinghy

Mercury, 4

none

Idle

140

0.4 – 1.7

 

 

HP

parallel

Full throttle

144 + 5

0.2 – 1.2

 

 

 

away

Full throttle

143 + 0

0.1 – 1

 

 

 

towards

Full throttle

141 + 1

0.1 – 1.2

Annie Mae

Hard Top

Yamaha outboard,

none (idle)

900

135 + 2

0.1 – 2

 

 

200 HP

parallel

2900

154 + 1

0.26 – 5.5

 

 

 

parallel

4400

161 + 3

0.86 – 8.0

 

 

 

away

3100

155 + 2

0.1 – 4.1

 

 

 

towards

3100

153 + 1

0.1 – 4.8

 


 

Commercial Shipping Boats:

Name

Operation

Range (m)

Frequency range (kHz)

dB/ umPa/V @1m

dB/u/mPa/V@100m

China Shipping Line

Full container, southbound

3000

.1 - 5.4