Effective record length for the T-year event
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. ?? 1983.
Citation Information
Publication Year | 1983 |
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Title | Effective record length for the T-year event |
Authors | Gary D. Tasker |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Journal of Hydrology |
Index ID | 70011628 |
Record Source | USGS Publications Warehouse |