MATHEMATICAL MODELS OF DISTRIBUTION OF SEDIMENT CONCENTRATION

Mathematical models have been developed that can completely describe the distribution of sediment concentration from the channel bed to the water surface. These models can be used to estimate the mean (depth-averaged) sediment concentration by a quick, point sampling in river engineering practice. The developed models are products of a combined application of the determinisitic and probabilistic concepts. The complementary nature of the two concepts strengthens the methodology of describing the various features of sediment transport. The models incorporate a velocity distribution equation that corresponds to a probability distribution derived by maximizing the information entropy. The probability distribution is a compact description of the system at a channel section, and its resilience or stability explains the applicability of the developed models of velocity and sediment distributions in a wide range of flows, steady or unsteady.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8672558
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Chiu, C-L
  • Jin, W
  • Chen, Y-C
• Publication Date: 2000-1

Language

• English

Media Info

• Features: Appendices; Figures; References;
• Pagination: p. 16-23
• Serial:
  • Journal of Hydraulic Engineering
  • Volume: 126
  • Issue Number: 1
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9429
  • Serial URL: https://ascelibrary.org/journal/jhend8

Subject/Index Terms

• TRT Terms: Channels (Waterways); Concentration (Chemistry); Mathematical models; Pollutants; Probability density functions; Rivers; Sediments; Shear stress
• Subject Areas: Environment; Highways; Hydraulics and Hydrology; Marine Transportation; I26: Water Run-off - Freeze-thaw;

Filing Info

• Accession Number: 00781804
• Record Type: Publication
• Contract Numbers: (B)11450190
• Files: TRIS
• Created Date: Jan 25 2000 12:00AM