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Development of distributed time-variant g.in model for nonlinear {1.drolog.cal systems

Science china Eart{1.sciences 2005年第6期48卷 713-723页

作者： xia jun1, 2. wang gangsheng1,{2., ye aizhong2.& g. h. huang3 1. key laboratory of water cycle & related land surface processes, Institute of geog.aph.c sciences and Natural Resources research, chinese academy of sciences, beijing 100101, china 2. State key laboratory of water Resources & h.dropower Eng.neering.sciences, Wuh.n University, Wuh.n 430072. china 3. Faculty of Eng.neering. University of Reg.na, 3737 Wascana Parkway, Reg.na, Sask., S4S 0A2. Canada Correspondence sh.uld be addressed to xia jun 1. key {1. of {2. cycle & related land surface processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China 2. State {1. laboratory of {2. Resources & h.dropower Eng.neering.sciences Wuhan University 430072 Wuhan China 3. Faculty of Eng.neering University of Regina 3737 Wascana Parkway S4S 0A2 Sask Regina Canada

In th.s paper, a rainfall-runoff modelin{1.system is developed based on a nonlinear Volterra functional series and a h.drolo{1.cal conceptual modelin{1.approach. Two models, i.e. th. time-variant {1.in model (TV{1.) and th. distributed time-variant {1.in model (DTV{1.) th.t are built on th. platform of Di{1.tal Elevation Model (DEM), Remote Sensin{1.(RS) and Unit h.dro-lo{1.cal Process were proposed. Th. developed DTV{1. model was applied to two cases in th. h.ih. River Basin th.t is located in th. arid and semiarid re{1.on of north.estern china and th. Ch.obai River basin located in th. semih.mid re{1.on of north.rn china. Th. results indicate th.t, in addition to th. classic dynamic differential approach.to describe nonlinear {2. in h.-drolo{1.cal systems, it is possible to study such.complex {2. th.ou{1. th. proposed sys-tematic approach.to identify prominent h.drolo{1.cal relations. Th. DTV{1., couplin{1.th. advan-tages of both.nonlinear and distributed h.drolo{1.cal models, can simulate variant h.drolo{1.cal {2. under different environment conditions. Satisfactory results were obtained in fore-castin{1.th. time-space variations of h.drolo{1.cal {2. and th. relationsh.ps between land use/cover ch.nge and {71. runoff variation.

关键词： h.drolo{1.cal process, nonlinearity, time-variant g.in model, distributed h.drolo{1.cal model.

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