Prediction of the grain size of suspended sediment: Implications for calculating suspended sediment concentrations using single frequency acoustic backscatter

被引:0
作者
Kuhnle, R. A. [1 ]
Wren, D. G. [1 ]
Chambers, J. P. [2 ]
机构
[1] USDA ARS, Natl Sedimentat Lab, Oxford, MS 38655 USA
[2] Univ Mississippi, Natl Ctr Phys Acoust, University, MS 38677 USA
关键词
suspended sediment; grain size; acoustic backscatter; concentration errors;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Collection of samples of suspended sediment transported by streams and rivers is difficult and expensive. Emerging technologies, such as acoustic backscatter, have promise to decrease costs and allow more thorough sampling of transported sediment in streams and rivers. Acoustic backscatter information may be used to calculate the concentration of suspended sand-sized sediment given the vertical distribution of sediment size. Therefore, procedures to accurately compute suspended sediment size distributions from easily obtained river data are badly needed. In this study, techniques to predict the size of suspended sand are examined and their application to measuring concentrations using acoustic backscatter data are explored. Three methods to predict the size of sediment in suspension using bed sediment, flow criteria, and a modified form of the Rouse equation yielded mean suspended sediment sizes that differed from means of measured data by 7 to 50 percent. When one sample near the bed was used as a reference, mean error was reduced to about 5 percent. These errors in size determination translate into errors of 7 to 156 percent in the prediction of sediment concentration using backscatter data from 1 MHz single frequency acoustics.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 50 条
  • [21] Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers
    Marggraf, Jessica
    Le Coz, Jerome
    Camenen, Benoit
    Lauters, Francois
    Dramais, Guillaume
    Pierrefeu, Gilles
    Topping, David J.
    [J]. EARTH SURFACE PROCESSES AND LANDFORMS, 2025, 50 (01)
  • [22] Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches
    Mustafa Demirci
    Ahmet Baltaci
    [J]. Neural Computing and Applications, 2013, 23 : 145 - 151
  • [23] In situ and high frequency monitoring of suspended sediment properties using a spectrophotometric sensor
    Martinez-Carreras, Nuria
    Schwab, Michael P.
    Klaus, Julian
    Hissler, Christophe
    [J]. HYDROLOGICAL PROCESSES, 2016, 30 (19) : 3533 - 3540
  • [24] Prediction of suspended sediment in river using fuzzy logic and multilinear regression approaches
    Demirci, Mustafa
    Baltaci, Ahmet
    [J]. NEURAL COMPUTING & APPLICATIONS, 2013, 23 : S145 - S151
  • [25] The effect of bedform dynamics on computing suspended sediment fluxes using optical backscatter sensors and current meters
    Austin, Martin J.
    Masselink, Gerhard
    [J]. COASTAL ENGINEERING, 2008, 55 (03) : 251 - 260
  • [26] Grain size control of river suspended sediment geochemistry: Clues from Amazon River depth profiles
    Bouchez, Julien
    Gaillardet, Jerome
    France-Lanord, Christian
    Maurice, Laurence
    Dutra-Maia, Poliana
    [J]. GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2011, 12
  • [27] Daily Suspended Sediment Prediction Using Seasonal Time Series and Artificial Intelligence Techniques
    Unes, Fatih
    Tasar, Bestami
    Demirci, Mustafa
    Zelenakova, Martina
    Kaya, Yunus Ziya
    Varcin, Hakan
    [J]. ROCZNIK OCHRONA SRODOWISKA, 2021, 23 : 117 - 137
  • [28] Effect of suspended sediment on acoustic detection using the Navy's CASS-GRAB model
    Chu, Peter C.
    Cornelius, Michael
    Wegstaff, Melvin
    [J]. OCEANS 2005, VOLS 1-3, 2005, : 877 - 883
  • [29] Predicting suspended sediment concentrations in the Meuse River using a supply-based rating curve
    Doomen, Annette M. C.
    Wijma, Eisse
    Zwolsman, John J. G.
    Middelkoop, Hans
    [J]. HYDROLOGICAL PROCESSES, 2008, 22 (12) : 1846 - 1856
  • [30] Suspended sediment concentrations inversion using its optical properties in Meiliang Bay, Taihu Lake
    Fu, Qinghua
    Wang, Shixin
    Yi, Zhou
    Fuli, Yan
    [J]. 2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 3, 2008, : 345 - 349