Probability theory applied to reservoir storage

N. T. Kottegoda
Additional contact information
N. T. Kottegoda: University of Birmingham, Department of Civil Engineering

Chapter 7 in Stochastic Water Resources Technology, 1980, pp 264-293 from Palgrave Macmillan

Abstract: Abstract Stochastic models applicable to hydrologic time series and extreme events are investigated in earlier chapters. Such models are important for the simulation of complex water resource systems and for flood estimation purposes. However, in the design of individual reservoirs where one of the main criteria is the probability of failure, a more direct approach can be adopted if the inflow data are independent or have a Markov type of dependence. The choice between alternatives is usually made so that this probability does not exceed a stipulated value, which depends on the purposes served. Also important is the average number of times a reservoir will spill or empty during a given period. Another interesting outcome is the probability of first time emptiness.

Keywords: Markov Chain; Reservoir Storage; Steady State Probability; Unconditional Probability; Multipurpose Reservoir (search for similar items in EconPapers)
Date: 1980
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:pal:palchp:978-1-349-03467-3_7

Ordering information: This item can be ordered from
http://www.palgrave.com/9781349034673

DOI: 10.1007/978-1-349-03467-3_7

Access Statistics for this chapter

More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().