RAINFALL-RUNOFF MODELLING ON KRINICE BASIN

被引:0
|
作者
Krpcova, L. [1 ]
机构
[1] Czech Univ Life Sci Prague, Fac Environm Sci, Kamycka 129, Prague 16521 6, Suchdol, Czech Republic
关键词
HEC-HMS; rainfall-runoff model; hydrological observations; precipitation networking;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
A second-rate river precipitation-runoff hydrological model was developed to characterize the hydrological process in the upper part of Krinice river. The interest is focused on the Krinice river, situated in the North Bohemia, which runs through the National park Bohemian Switzerland and simultaneously builds boundary river between Czech Republic and Germany. The Hydrologic Modeling System (HEC-HMS) software version 3.3 was used to the simulation. The purpose of the work consists of development of several scenarios of rainfall runoff models of Krinice river. The work deals with comparison of particular models. Its main objective is to determine an optimal procedure for modeling of hydrological process in the river Krinice with limited input data monitoring that can be extended into general methodology of ungaged catchments simulation.
引用
收藏
页码:292 / 295
页数:4
相关论文
共 50 条
  • [31] Effects of the catchment runoff coefficient on the performance of TOPMODEL in rainfall-runoff modelling
    Xiong, LH
    Guo, SL
    HYDROLOGICAL PROCESSES, 2004, 18 (10) : 1823 - 1836
  • [32] Application of a neural network technique to rainfall-runoff modelling
    Shamseldin, AY
    JOURNAL OF HYDROLOGY, 1997, 199 (3-4) : 272 - 294
  • [33] The exponential store: a correct formulation for rainfall-runoff modelling
    Michel, C
    Perrin, C
    Andreassian, V
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2003, 48 (01): : 109 - 124
  • [34] Rainfall-runoff modelling as part of integrated watershed management
    Radwan, M
    Willems, P
    Berlamont, J
    MODELLING OF TRANSPORT PROCESSES IN SOILS: AT VARIOUS SCALES IN TIME AND SPACE, 1999, : 755 - 764
  • [35] The multi-model approach to rainfall-runoff modelling
    Wyatt, Adam M.
    Franks, Stewart W.
    PREDICTIONS IN UNGAUGED BASINS: PROMISE AND PROGRESS, 2006, 303 : 134 - +
  • [36] Rainfall-runoff modelling by neural networks and Kalman filter
    Dimopoulos, I
    Lek, S
    Lauga, J
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1996, 41 (02): : 179 - 193
  • [37] Artificial neural networks for daily rainfall-runoff modelling
    Rajurkar, M.P.
    Kothyari, U.C.
    Chaube, U.C.
    Hydrological Sciences Journal, 2002, 47 (06) : 865 - 878
  • [38] Soft computing approach for rainfall-runoff modelling: A review
    Chandwani, Vinay
    Vyas, Sunil Kumar
    Agrawal, Vinay
    Sharma, Gunwant
    INTERNATIONAL CONFERENCE ON WATER RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE'15), 2015, 4 : 1054 - 1061
  • [39] Artificial neural networks for daily rainfall-runoff modelling
    Rajurkar, MP
    Kothyari, UC
    Chaube, UC
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2002, 47 (06): : 865 - 877
  • [40] Rainfall-runoff modelling of railway embankment steep slopes
    Sajjan, Asim Krishna
    Gyasi-Agyei, Yeboah
    Sharma, Raj Hari
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2013, 58 (05): : 1162 - 1176