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

  Radarweg 29
  Amsterdam,   Netherlands  1043 NX
• Authors:
  • Calenda, G
  • Petaccia, A
  • Togna, A
• Publication Date: 1977-5

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 233-245
• Serial:
  • Journal of Hydrology
  • Volume: 33
  • Issue Number: 3/4

Subject/Index Terms

• TRT Terms: Binomial distributions; Distributions (Statistics); Floods; Hydrology; Mathematical models; Poisson distributions; Stochastic processes
• Uncontrolled Terms: Flood peaks; Models
• Old TRIS Terms: Poissons distribution; Precipitation
• Subject Areas: Data and Information Technology; Highways; Hydraulics and Hydrology;

Filing Info

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