JOURNAL ARTICLE

Joint Seasonal /Annual Flood Frequency Analysis

Stéphanie DurransM. A. EiffeWilbert O. ThomasH. Morgan Goranflo

Year: 2003 Journal:   Journal of Hydrologic Engineering Vol: 8 (4)Pages: 181-189   Publisher: American Society of Civil Engineers

Abstract

Flood frequency analysis, as commonly practiced, focuses on the estimation of return periods associated with annual maximum flood peaks of various magnitudes. In some applications, it is desirable to perform joint (i.e., simultaneous) flood frequency analyses on seasonal as well as annual bases. However, a problem one encounters in seasonal flood frequency analysis is that the consistency or interrelationship that must exist between the annual maximum and individual seasonal flood frequency distributions may not be preserved. The most important cause of inconsistencies is that one cannot arbitrarily specify the parametric forms of the annual and all of the seasonal distributions. A correct theoretical analysis of the joint frequency problem would require the use of a rather unusual and complicated distributional model. Since this is not practical, this paper presents two approximate but useful methods for joint frequency analysis using the log Pearson Type 3 distribution. It is shown via examples that the two methods can be applied to reasonably model annual and five seasonal flood distributions in the Tennessee Valley.

Keywords:
Flood myth Frequency analysis Environmental science Consistency (knowledge bases) Joint probability distribution 100-year flood Joint (building) Frequency distribution Parametric statistics Return period Meteorology Statistics Climatology Hydrology (agriculture) Mathematics Geography Geology Engineering

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44
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FWCI (Field Weighted Citation Impact)
4
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0.61
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Citation History

Topics

Hydrology and Drought Analysis
Physical Sciences →  Environmental Science →  Global and Planetary Change
Hydrology and Watershed Management Studies
Physical Sciences →  Environmental Science →  Water Science and Technology
Climate variability and models
Physical Sciences →  Environmental Science →  Global and Planetary Change

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