分布式水文模型在黄河流域的应用

doi:10.11821/xb200401018

Abstract

Abstract:

For implementing water resources management in the Yellow River Basin, water resources assessment is very necessary and important. The accuracy of water resources assessment relies on predictability of the hydrological cycle. Different land uses, topographical features, geological and soil conditions, and artificial water uses (mainly agricultural irrigation) determine the complexity of hydrological characteristics in this basin. With the limited observation of the river discharge, it is difficult to develop a lumped model for simulating hydrology in different sub-basins based on parameter calibration. The physically-based hydrological model can be helpful in this case. The present research attempts to incorporate all available spatial information into the hydrological modeling by a distributed approach. A physical model is developed using the physical governing equations for description of the hydrological processes. It carries out a 10-year (1980-1989) simulation of the natural hydrological cycle. Based on the hydrological simulation, the paper discusses the spatial-temporal hydrological characteristics and the status of water resources in the Yellow River Basin.

Key words: hydrological process, spatial heterogeneity, distributed hydrological model, water resources assessment, the Yellow River

YANG Dawen, LI Chong, NI Guangheng, HU Heping. Application of a Distributed Hydrological Model to the Yellow River Basin[J].Acta Geographica Sinica, 2004, 59(1): 143-154.

References

[1] Shi Y F (ed.). Assessment of the Climate Change from Warm-dry to Warm-wet in Northwest China. Beijing: Meteorological Press, 2003.
[施雅风主编. 中国西北气候由暖干向暖湿转型问题评估. 北京: 气象出版社, 2003.]

[2] Qian W, Zhu Y. Climate change in China from 1880 to 1998 and its impact on the environmental condition. Climate Change, 2001, 50: 419-444.

[3] IPCC. J T Houghton, L G Meira Filho, B A Callender et al. (eds.), Climate Change 1995. Summary for Policymakers. Cambridge: Cambridge University Press, 1996. 572.

[4] NRC (ed.). Opportunities in the Hydrologic Sciences. Washington, D. C., USA: National Academy Press, 1991.

[5] Refsgaard J. Terminology, modeling protocol and classification of hydrological model codes. In: M Abbott, J Refsgaard (eds.), Distributed Hydrological Modeling. Kluwer Academic Publisher, 1996. 16-39.

[6] DHI, MIKE SHE: Technical Reference Manual. Danish Hydraulic Institute, Netherlands, 1993.

[7] Refsgaard J. Storm, MIKE SHE. In: V P Singh (ed.), Computer Models in Watershed Hydrology. Water Resources Publication, 1995.

[8] Tachikawa Y, T Takasao, M Shiba. TIN-based topographic modeling and runoff prediction using a basin geomorphic information system. IAHS Publication, 1996, 235: 225-232.

[9] Yang D, Herath S, Musiake K. Development of a geomorphology-based hydrological model for large catchments. Annual Journal of Hydraulic Engineering, JSCE, 1998, 42: 169-174.

[10] Yang D, S Herath, K Musiake. Hillslope-based hydrological model using catchment area and width functions. Hydrological Sciences Journal, 2002, 47: 49-65.

[11] Chen X D (ed.). Hydrology of the Yellow River. Zhengzhou: Yellow River Conservancy Press, 2000.
[陈先德主编. 黄河水文. 郑州: 黄河水利出版社, 2000.]

[12] Shi J Z (ed.). Water Resources in the Yellow River. Zhengzhou: Yellow River Conservancy Press, 1996.
[席家治主编. 黄河水资源. 郑州: 黄河水利出版社, 1996.]

[13] Liu C M, Chen X G (eds.). The Progress of the Research on the Yellow River Water Resources. Zhengzhou: Yellow River Conservancy Press, 2001.
[刘昌明, 陈效国主编. 黄河流域水资源演化规律与可再生性维持机理研究和进展. 郑州: 黄河水利出版社, 2001.]

[14] FAO. The Digital Soil Map of the World, Version 35. United Nations Food and Agriculture Organization, CD-ROM, 1995.

[15] FAO. Land and Water Digital Media Series N-1, December, ISBN 92-5-104050-8, 1998.

[16] New M, M Hulme, P Jones. Representing twentieth-century space-time climate variability (Part I): development of a 1961-90 mean monthly terrestrial climatology. Journal of Climate, 1999, 12: 829-856.

[17] Maidment D (ed.). Handbook of Hydrology. Mcgraw-Hill, Inc., 1993.

[18] Mesa O, E Mifflin. On the relative role of hillslope and network geometry in hydrologic response. In: V Gupta, I Rodriguez-Iturbe, E Wood (eds.), Scaling Problems in Hydrology, Reidel, Dordrecht, 1986. 1-17.

[19] Naden P. Spatial variability in flood estimation for large catchments: the exploitation of channel network structure. Hydrological Science Journal, 1992, 37: 53-71.

[20] Yang D, Herath S, Musiake K. Analysis of geomorphologic properties extracted from DEMs for hydrologic modeling. Annual Journal of Hydraulic Engineering, JSCE, 1997, 41: 105-110.

[21] Yang D, Oki T, Herath S et al. A geomorphology-based hydrological model and its applications. In: V P Singh, D K Frevert (eds.), Mathematical Models of Small Watershed Hydrology and Applications. Water Resources Publication, LLC, 2002. 259-300.

[22] Jackson C. Hillslope infiltration and lateral downslope unsaturated flow. Water Resources Research, 1992, 28(9): 2533-2539.

[23] Robinson J, Sivapalan M. Instantaneous response functions of overland flow and sub-surface stormflow for catchment models. Hydrological Processes, 1996, 10: 845-862.

[24] Sellers P J, D A Randall, G J Collantz et al. A revised land surface parameterization (SiB2) for atmospheric GCMs (Part I): model formulation. Journal of Climate, 1996, 9: 676-705.

[25] Lei Z D, Yang S X, Xie S C. Soil Water Dynamics. Beijing: The Tsinghua University Press, 1988.
[雷志栋, 杨诗秀, 谢森传. 土壤水动力学. 北京: 清华大学出版社, 1988.]

[26] Dunne T. Field studies of hillslope flow processes. In: M J Kirkby (ed.), Hillslope Hydrology. New York, USA: Wiley-Interscience, 1978. 227-293.

[27] Yang D, Musiake K, Kanae S et al. Use of the Pfafstetter basin numbering system in hydrological modeling. Proceedings of 2000 Annual Conference, Japan Society of Hydrology and Water Resources, 2000. 200-2001.

[28] Yang D, S Herath, K Musiake. Comparison of different distributed hydrological models for characterization of catchment spatial variability. Hydrological Processes, 2000, 14: 403-416.

Application of a Distributed Hydrological Model to the Yellow River Basin

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