完整後設資料紀錄
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dc.contributor.authorChang, Ching-Minen_US
dc.contributor.authorYeh, Hund-Deren_US
dc.contributor.authorChuang, Mo-Hsiungen_US
dc.date.accessioned2019-12-13T01:10:01Z-
dc.date.available2019-12-13T01:10:01Z-
dc.date.issued2019-08-01en_US
dc.identifier.issn0022-1694en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jhydrol.2019.05.086en_US
dc.identifier.urihttp://hdl.handle.net/11536/153085-
dc.description.abstractThis study deals with the time-dependent nonlinear response of catchments to the variations in rainfall. Both the rainfall and runoff discharge fields are treated to be nonstationary in time. A functional series representation, a generalization of the linear convolution integral, is employed to quantify the nonlinear relation between the input and output. The Fourier-Stieltjes representation approach is used to evaluate the variance of runoff discharge in the spectral frequency domain. The analysis based on the spectral solution for the runoff discharge variance clearly demonstrates that larger values of rainfall characteristic time scale or catchment size parameter lead to larger variability of the runoff discharge, while a larger catchment scale parameter leads to smaller variability of the runoff discharge.en_US
dc.language.isoen_USen_US
dc.subjectNonlinear rainfall-runoff processesen_US
dc.subjectFunctional series representationen_US
dc.subjectNonstationary random fieldsen_US
dc.subjectFourier-Stieltjes representationen_US
dc.titleSpectral analysis of temporal variability of nonlinear and nonstationary rainfall-runoff processesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jhydrol.2019.05.086en_US
dc.identifier.journalJOURNAL OF HYDROLOGYen_US
dc.citation.volume575en_US
dc.citation.spage1301en_US
dc.citation.epage1307en_US
dc.contributor.department環境工程研究所zh_TW
dc.contributor.departmentInstitute of Environmental Engineeringen_US
dc.identifier.wosnumberWOS:000488143000102en_US
dc.citation.woscount0en_US
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