Multi-tree Coding Method (MCM) for drainage networks supporting high-efficient search

Computers and Geosciences

Volumn 52, Issue , 2013, Pages 300-306

  Wang, Hao ^a,b   Fu, Xudong ^a   Wang, Guangqian ^a  

^a TSINGHUA UNIVERSITY   (China)

^b Sinohydro Corporation Limited   (China)

Author keywords

Distributed hydrological model; Drainage network; Multi tree; River coding; Yalu Tsangpo

Indexed keywords

CODING METHODS; COMPLEX SEARCHES; COMPUTATIONAL PERFORMANCE; DIGITAL ELEVATION MODEL; DISTRIBUTED HYDROLOGICAL MODEL; DRAINAGE NETWORKS; MULTI-TREE; PHYSICAL SIMULATION; RIVER BASINS; SEARCH PROCESS; STRUCTURED QUERY LANGUAGES; YALU TSANGPO;

FORESTRY; QUERY LANGUAGES; RIVERS; SURVEYING; TOPOLOGY; TREES (MATHEMATICS); WATERSHEDS;

DRAINAGE;

DATABASE; DIGITAL ELEVATION MODEL; DRAINAGE NETWORK; HYDROLOGICAL MODELING; RIVER BASIN; TOPOLOGY;

CODING; DRAINAGE; FORESTRY; MATHEMATICS; NETWORKS; RIVERS; SURVEYING; TREES; WATER SHEDS;

BRAHMAPUTRA BASIN; CHINA; XIZANG;

EID: 84871521551     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2012.11.005     Document Type: Article

References (26)

1. Ajami N.K., Gupta H., Wagener T., Sorooshian S. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system. Journal of Hydrology 2004, 298:112-135.
2. Bathurst J.C. Physically-based distributed modeling of an upland catchment using the Systeme Hydrologique Europeen. Journal of Hydrology 1986, 87:79-102.
3. Beven K.J., Kirkby M.J. A physically based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin 1979, 24(1):43-69.
4. Bicknell, B.R., Imhoff, J.C., Kittle, J.L., Jobes, T.H., Donigian, A.S., 2001. Hydrological Simulation Program-FORTRAN: HSPFVersion 12 User's Manual. Aqua Terra Consultants, Mountain View, California, USA.
5. Chang K.T. Introduction to Geographic Information Systems 2008, McGraw-Hill, Boston, USA. 3rd ed.
6. Colombo R., Vogt J.V., Soille P., Paracchini M.L., Jager A. Deriving river networks and catchments at the European scale from medium resolution digital elevation data. Catena 2007, 70:296-305.
7. Garbrecht J. Determination of the execution sequence of channel flow for cascade routing in a drainage network. Hydrosoft 1988, 1(3):129-138.
8. Garbrecht, J., Martz, L.W., 1999. TOPAZ (TOpographicPArameteriZation) Overview. Grazinglands Research Laboratory, USDAARS (US Department of Argiculture, Agriculture Research Service), Oklahoma, USA.
9. Horton R.E. Erosional development of streams and their drainage basins: hydrophysical approach to quantitative morphology. Eological Society of America Bulletin 1945, 56:275-370.
10. Ivanov V.Y., Vivoni E.R., Bras R.L., Entekhabi D. Preserving high-resolution surface and rainfall data in operational-scale basin hydrology: a fully-distributed physically-based approach. Journal of Hydrology 2004, 298:80-111.
11. Jia Y.W., Wang H., Zhou Z.H., Qiu Y.Q., Luo X.Y., Wang J.H., Yan D.H., Qin D.Y. Development of the WEP-L distributed hydrological model and dynamic assessment of water resources in the Yellow River basin. Journal of Hydrology 2006, 331(3-4):606-629.
12. Khakbaz B., Imam B., Hsu K., Sorooshian S. From lumped to distributed via semi-distributed: Calibration strategies for semi-distributed hydrologic models. Journal of Hydrology 2012, 418:61-77.
13. Lacroix M.P., Martz L.W., Kite G.W., Garbrecht J. Using digital terrain analysis modeling techniques for the parameterization of a hydrologic model. Environmental Modelling & Software 2002, 17(2):125-134.
14. Li T.J., Wang G.Q., Chen J. A modified binary tree coding of drainage networks to support complex hydrological models. Computers & Geosciences 2010, 36:1427-1435.
15. Melton J., Simon A.R., 1993. Understanding the New SQL: A Complete Guide. Morgan Kaufmann, ISBN: 1-55860-245-3.
16. 2002, ESRI Press, California, USA. D.R. Maidment (Ed.).
17. Neitsch, S.L., Arnold, J.C., Kiniry, J.R., Williams, J.R., 2005. Soil and Water Assessment Tool Theoretical Documentation, Version 2005. Soil and Water Research Laboratory, Agricultural Research Service, Texas, USA.
18. Neteler M., Mitasova H. Open Source GIS: A GRASS GIS Approach 2008, Springer, New York, USA. 3rd ed.
19. Pfafstetter, O., 1989. Classification of Hydrographic Basins: Coding Methodology, DNOS, August 18, 1989, Rio de Janeiro; translated by J.P. Verdin, U.S. Bureau of Reclamation, Brasilia, Brazil, September 5, 1991, unpublished manuscript.
20. Tokunaga, E., 1978. Consideration on the composition of drainage networks and their evolution. Geographical Reports of Tokyo Metropolitan University 13, 1-27.
21. Verdin K.L., Verdin J.P. A topological system for delineation and coding of the Earth's riverbasins. Journal of Hydrology 1999, 218:1-12.
22. Wang H., Li T.J., Gao J., Fu X.D., Wang G.Q. Binary-tree coding for drainage network of large-scale basins. Journal of Hohai University (Natural Sciences) 2009, 37(5):499-504.
23. Wang H., Wang G.Q., Sun Q.C., Fu X.D., Gong T.L., Gao J. Multi-tree coupling method of high resolution drainage network extraction on large-scale basin. Journal of Basic Science and Engineering 2009, 17(5):643-651.
24. Wang H., Fu X.D., Wang G.Q., Li T.J., Gao J. A common parallel computing framework for modelling hydrological processes of river basins. Parallel Computing 2011, 37:302-315.
25. Yang D., Herath S., Musiake.K. Development of a geomorphology-based hydrological model for large catchments. Annual Journal of Hydraulic Engineering 1998, JSCE 42:169-174.
26. Zhang L., Dai B.X., Wang G.Q., Li T.J., Wang H. The quantization of river network morphology based on the Tokunaga network. Science in China - Series D: Earth Sciences 2009, 52(11):1724-1731.