A flume experiment to examine underwater sound generation by flowing water

• Published in: Aquatic sciences Vol. 71; no. 4; pp. 449 - 462
• Main Authors: Tonolla, Diego, Lorang, Mark S., Heutschi, Kurt, Tockner, Klement
• Format: Journal Article
• Language: English
• Published: Basel SP Birkhäuser Verlag Basel 01-12-2009; Springer; Springer Nature B.V
• Subjects: Acoustics; Animal and plant ecology; Animal, plant and microbial ecology; Aquatic habitats; Aquatic sciences; Biological and medical sciences; Biomedical and Life Sciences; Ecology; Exact sciences and technology; Fresh water ecosystems; Freshwater & Marine Ecology; Fundamental and applied biological sciences. Psychology; Fundamental areas of phenomenology (including applications); Geomorphology; Hydrology; Hydrophones; Life Sciences; Marine & Freshwater Sciences; Oceanography; Other topics; Physics; Research Article; River ecology; Running waters; Streams; Submergence; Synecology; Turbulence; Underwater; Sound propagation; Acoustic; Hydrogeomorphology; Physical generated sound; Hydrophone; Geomorphology; Propagation; Acoustic signal; Underwater; Ecology; Sound; Hydroacoustics; Aquatic environment; Flumes; Habitat; Typology
• ISSN: 1015-1621; 1420-9055
• DOI: 10.1007/s00027-009-0111-5

The hydrogeomorphology and ecology of rivers and streams has been subject of intensive research for many decades. However, hydraulically-generated acoustics have been mostly neglected, even though this physical attribute is a robust signal in fluvial ecosystems. Physical generated underwater sound can be used to quantify hydro-geomorphic processes, to differentiate among aquatic habitat types, and it has implications on the behavior of organisms. In this study, acoustic signals were quantified in a flume by varying hydro-geomorphic drivers and the related turbulence and bubble formation. The acoustic signals were recorded using two hydrophones and analyzed using a signal processing software, over 31 third-octave bands (20 Hz–20 kHz), and then combined in 10 octave bands. The analytical method allowed for a major improvement of the signal-to-noise ratio, therefore greatly reducing the uncertainty in our analyses. Water velocity, relative submergence, and flow obstructions were manipulated in the flume and the resultant acoustic signals recorded. Increasing relative submergence ratio and water velocity were important for reaching a turbulence threshold above which distinct sound levels were generated. Increases in water velocity resulted in increased sound levels over a wide range of frequencies. The increases in sound levels due to relative submergence of obstacles were most pronounced in midrange frequencies (125 Hz–2 kHz). Flow obstructions in running waters created turbulence and air bubble formation, which again produced specific sound signatures.