• Display and Manipulation of Inventory Data

      Gale, R. D.; Russel, J. W.; Siverts, L. E.; Tonto National Forest, Phoenix, Arizona; Southwestern Region, U.S.F.S., Albuquerque, New Mexico (Arizona-Nevada Academy of Science, 1974-04-20)
      A stochastic model is presented for the prediction of sediment yield in a semi-arid watershed based on rainfall data and watershed characteristics. Random variables which lead to uncertainty in the model are rainfall amount, storm duration, runoff, and peak flow. Soil conservation service formulas are used to compute the runoff and peak flow components of the universal soil loss equation, and a transformation of random variables is used to obtain the distribution function of sediment yield from the joint distribution of rainfall amount and storm duration. Applications of the model are in the planning of reservoirs and dams where the effective lifetime of the facility may be evaluated in terms of storage capacity as well as the effects of land management of the watershed. In order to calibrate the model and to evaluate the uncertainties involved, experimental data from the Atterbury watershed near Tucson, Arizona were used.