Recent evidences of the impact of persistent modes of regional climate variability, coupled with the intensification of human activities, have led hydrologists to study flood regime without applying the hypothesis of stationarity. In this study, a framework for flood frequency analysis is developed on the basis of a tool that enables us to address the modelling of non-stationary time series, na...

Floods cause environmental hazards and influence on socio-economic activities. In this study, we evaluated the historic flood frequency at a confluence in the middle Yellow River, China. A non-parametric, multivariate, empirical, orthogonal function matrix model, which consists of time correlation coefficients of flood discharge at different gauge stations and flood events was used for the anal...

[1] Changes in dissolved organic carbon (DOC) concentration are clearly seen for streams in which chemistry is measured on a high‐frequency/episode basis, but these high‐ frequency data are not available in long‐term monitoring programs. Here we develop statistical models to predict DOC concentrations during spring flood from easily available geographic information system data and base flow che...

Regional flood frequency analysis (RFFA) is a powerful method for interrogating hydrological series since it combines observational time from several sites within region to estimate risk-relevant statistical parameters with higher accuracy than single-site series. Since RFFA extreme value estimates depend on the shape of selected distribution data-generating stochastic process, there need suita...

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