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FLOOD FREQUENCY ANALYSIS FOR EVALUATING WATERSHED CONDITIONS WITh RAINFALL‐RUNOFF MODELS 1
Author(s) -
Bradley A. Allen.,
Potter Kenneth W.
Publication year - 1991
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1991.tb03115.x
Subject(s) - quantile , flood myth , environmental science , surface runoff , watershed , hydrology (agriculture) , 100 year flood , statistics , computer science , mathematics , geography , geology , geotechnical engineering , archaeology , machine learning , biology , ecology
Many rainfall‐runoff modeling studies compare flood quantiles for different land‐use and/or flood mitigation scenarios. However, when flood quantiles are estimated using conventional statistical methods, comparisons may be misleading because the estimates often misrepresent the quantile relationship between scenarios. An alternate statistical procedure is proposed, in which rainfall‐runoff modeling is used to evaluate an approximate relationship between flood quantiles for different scenarios. Monte Carlo experiments show that the proposed method produces flood quantile estimates that better reflect the differences between scenarios. The ratio between quantiles for different scenarios is more accurate, so comparisons of the scenarios using flood quantiles are more reliable.