Estimation of Drought Severity on Independent and Dependent Hydrologic Series

T. Sharma

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 1997, vol. 11, issue 1, 35-49

Abstract: The drought severity is the most important parameter for the design of water storage systems in order to alleviate the water shortages during drought periods. The largest drought severity, i.e. severity of a worst drought at a desired truncation level and for the desired return period can be estimated using the truncated normal distribution of the deficits in individual drought years, Poisson distribution of the number of drought spells over a period of T years and geometric distribution of drought duration. The analysis can be done for random or Markovian structure of drought variable (annual rainfall or runoff sequences) distributed normally or lognormally. The study indicated that the severity at a high truncation level is larger than that at a low truncation level over any desired return period T. Severity is also larger in the case of autocorrelated drought variable. A frequency formula for the largest drought severity can be formulated analogous to the flood frequency formula commonly found in the hydrologic texts. Copyright Kluwer Academic Publishers 1997

Keywords: drought duration; drought severity; Markov process; run-length; run-sum; truncation level; truncated normal distribution (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1007904718057 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:11:y:1997:i:1:p:35-49

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1023/A:1007904718057

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().