Effective record length for the T-year event
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Abstract
The effect of serial dependence on the reliability of an estimate of the T-yr. event is of importance in hydrology because design decisions are based upon the estimate. In this paper the reliability of estimates of the T-yr. event from two common distributions is given as a function of number of observations and lag-one serial correlation coefficient for T = 2, 10, 20, 50, and 100 yr. A lag-one autoregressive model is assumed with either a normal or Pearson Type-III disturbance term. Results indicate that, if observations are serially correlated, the effective record length should be used to estimate the discharge associated with the expected exceedance probability.
Publication type | Article |
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Publication Subtype | Journal Article |
Title | Effective record length for the T-year event |
Series title | Journal of Hydrology |
DOI | 10.1016/0022-1694(83)90059-8 |
Volume | 64 |
Issue | 1-4 |
Year Published | 1983 |
Language | English |
Publisher | Elsevier |
Description | 9 p. |
First page | 39 |
Last page | 47 |