On the stationarity of annual flood peaks in the continental United States during the 20th century

作者: Gabriele Villarini , Francesco Serinaldi , James A. Smith , Witold F. Krajewski

DOI: 10.1029/2008WR007645

关键词: Flood mythClimate changeWater cycleGeneralized additive modelCatchment hydrology100-year floodHurst exponentClimatologyGeologyDrainage basin

摘要: [1] Annual peak discharge records from 50 stations in the continental United States with at least 100 years of record are used to investigate stationarity flood peaks during 20th century. We examine temporal trends and abrupt changes mean and/or variance distributions. Change point analysis for detecting distributions is performed using nonparametric Pettitt test. Two (Mann-Kendall Spearman) tests one parametric (Pearson) test detect presence trends. Generalized additive models location, scale, shape (GAMLSS) also parametrically model annual data, exploiting their flexibility account parameters distribution functions. Additionally, long-term persistence investigated through estimation Hurst exponent, an alternative interpretation results terms provided. Many drainage basins represented this study have been affected by regulation systems reservoirs, all experienced significant land use Despite profound that occurred throughout recognition elements hydrologic cycle being altered human-induced climate change, it easier proclaim demise than prove analyses data.

参考文章(1)
Chandra Erdman, John W. Emerson, bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems Journal of Statistical Software. ,vol. 23, pp. 1- 13 ,(2007) , 10.18637/JSS.V023.I03