The specific needs for sediment yield prediction are so varied that no single model could meet them without a great loss of efficiency. These needs generally fall into the categories of length of model event time, area to be simulated, and sediment sources. The models can be grouped two categories. The first group of models are those derived from statistical analyses. These are usually equations relating sediment yield to one or more watershed or climatic factors. The second group of models are called parametric models. These models introduce numeric values to quantify the factors affecting erosion, transport, and deposition. Also included in this group are models using time variant interactions of physical processes. These types of models start with a structure of hydrologic or hydraulic processes that are basic to the modeling objective. The successful field testing of most techniques for predicting sediment yields depends almost entirely upon the availability of a reliable watershed data-base, consisting of indepth measurements of many watershed parameters.

Media Info

  • Features: References;
  • Pagination: p. 43-58

Subject/Index Terms

Filing Info

  • Accession Number: 00183955
  • Record Type: Publication
  • Source Agency: Engineering Index
  • Files: TRIS
  • Created Date: Dec 29 1978 12:00AM