THEORETICAL PROBABILITY DISTRIBUTION OF CRITICAL HYDROLOGIC EVENTS BY THE PARTIAL-DURATION SERIES METHOD

Precipitation or flood-peak exceedances are usually considered to occur in a Poisson stochastic process. This assumption is not always consistent with observed data, especially at high-exceedance probabilities. A better fitting model is the Polya stochastic process, which implies that each occurrence probability depends on previous events. This model yields a negative binomial distribution of the number of exceedances in a time interval. /Author/

  • Corporate Authors:

    Elsevier Science

    Radarweg 29, P.O. Box 211
    1043NX AE Amsterdam,   Netherlands 
  • Authors:
    • Calenda, G
    • Petaccia, A
    • Togna, A
  • Publication Date: 1977-5

Media Info

  • Features: Appendices; Figures; References; Tables;
  • Pagination: p. 233-245
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00157759
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 13 1977 12:00AM