Multiscale evolution of persistence of rainfall and streamflow

被引:22
作者
Dey, Pankaj [1 ]
Mujumdar, P. P. [1 ,2 ]
机构
[1] Indian Inst Sci, Dept Civil Engn, Bangalore 560012, Karnataka, India
[2] Indian Inst Sci, Divecha Ctr Climate Change, Bangalore 560012, Karnataka, India
关键词
Persistence; Multiscale; Rainfall; Streamflow; Hurst Coefficient; LONG-TERM PERSISTENCE; DETRENDED FLUCTUATION ANALYSIS; RIVER BASIN; TIME-SERIES; RECORDS; EVENTS; MEMORY;
D O I
10.1016/j.advwatres.2018.08.018
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Hydrologic persistence plays an important role in natural mechanisms governing hydrologic processes and their interdependence. The spatio-temporal evolution of persistence in rainfall and streamflow and their joint behaviour is examined here through the estimation of Hurst Coefficient using Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA). The MOPEX (Model Parameter Estimation Project) watersheds in USA and the Cauvery River Basin in India are used as case studies. The analyses show that the temporal dynamics of the persistence of rainfall and streamflow and their joint behaviour are non-uniform across different time scales. It is found that the contribution of catchment processes influencing the persistence of the streamflow is a function of the catchment area. The state of persistence of joint behaviour is neither dependent on the rainfall amount nor affected by the changing patterns of dry and wet spells whereas the persistence of rainfall alone is affected by the latter.
引用
收藏
页码:285 / 303
页数:19
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