Fractional Linear Reservoir Model as Elementary Hydrologic Response Function

被引:1
作者
Yoon, Yeo-Jin [1 ]
Kim, Joo-Cheol [2 ]
机构
[1] Konyang Univ, Dept Disaster Safety & Fire, 121 Daehak Ro, Nonsan Si 32992, Chungcheongnam, South Korea
[2] Chungnam Natl Univ, Int Water Resources Res Inst, 99 Daehak Ro, Daejeon 34134, Chungcheongnam, South Korea
关键词
fractional linear reservoir model; Mittag-Leffler distribution; nonlinearity; heterogeneity; CALCULUS; RUNOFF; AREA;
D O I
10.3390/w15244254
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a fractional linear reservoir model as the elementary response function of hydrologic systems corresponding to the classical linear reservoir model and tests its applicability to rainfall-runoff modeling. To this end, we formulate a fractional linear reservoir model in terms of fractional calculus following the same procedure as the classical linear reservoir model and, at the simplest level, compare its performance of rainfall-runoff modeling with the linear and nonlinear reservoir models. The impulse response function of a fractional linear reservoir model, a probability density function (PDF) following the Mittag-Leffler distribution, shows nonlinearity due to its time-variant behavior compared to that of a linear reservoir model. In traditional linear hydrologic system theory, the lag and route version of a fractional linear reservoir model produces the fast-rising and slow-recession of runoff hydrographs, implying the mixed response of linear and nonlinear reservoir models to rainfall. So, a fractional linear reservoir model could be considered a fundamental tool to effectively reflect the nonlinearity of rainfall-runoff phenomena within the framework of the linear hydrologic system theory. In this respect, the fractional order of the storage relationship specifying a fractional linear reservoir model can be viewed as a kind of parameter to quantify the heterogeneity of runoff generation within a river basin.
引用
收藏
页数:14
相关论文
共 49 条
[1]   NONLINEAR PREDICTION PROBLEM IN STUDY OF RUNOFF CYCLE [J].
AMOROCHO, J .
WATER RESOURCES RESEARCH, 1967, 3 (03) :861-&
[2]  
ARORA AK, 1987, INDIAN J PURE AP MAT, V18, P931
[3]   NEW FRACTIONAL DERIVATIVES WITH NON-LOCAL AND NON-SINGULAR KERNEL Theory and Application to Heat Transfer Model [J].
Atangana, Abdon ;
Baleanu, Dumitru .
THERMAL SCIENCE, 2016, 20 (02) :763-769
[4]   Fractional calculus in hydrologic modeling: A numerical perspective [J].
Benson, David A. ;
Meerschaert, Mark M. ;
Revielle, Jordan .
ADVANCES IN WATER RESOURCES, 2013, 51 :479-497
[5]  
Borthwick M.F., 2010, Ph.D. Dissertation
[6]   Transport in the hydrologic response: Travel time distributions, soil moisture dynamics, and the old water paradox [J].
Botter, Gianluca ;
Bertuzzo, Enrico ;
Rinaldo, Andrea .
WATER RESOURCES RESEARCH, 2010, 46
[7]   Estimation of Mittag-Leffler Parameters [J].
Cahoy, Dexter O. .
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2013, 42 (02) :303-315
[8]   Renewal processes based on generalized Mittag-Leffler waiting times [J].
Cahoy, Dexter O. ;
Polito, Federico .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2013, 18 (03) :639-650
[9]   LINEAR MODELS OF DISSIPATION WHOSE Q IS ALMOST FREQUENCY INDEPENDENT-2 [J].
CAPUTO, M .
GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1967, 13 (05) :529-&
[10]  
Caputo M, 2015, Prog Fract Differ Appl, V1, P73, DOI [DOI 10.12785/PFDA/010201, 10.12785/pfda/010201]