Title :
Fuzzy cluster analysis method of river pattern classification in alluvial river
Author :
Wang, Qinxiang ; Shi, Chuanwen
Author_Institution :
Dept. of Hydrol. & Hydro-Electr. Eng., Yellow River Conservancy Tech. Inst., Kaifeng, China
Abstract :
The river patterns of six sub-reaches between Huayuankou and Lijin hydrologic stations of the Lower Yellow River are classified based on the analysis of the 21 years data with mathematical statistics and fuzzy cluster method. The method is developed from the theory of plant taxonomy, sediment transportion theory and stabilization degree equation. The results indicate that if river pattern cluster in 3 groups, the result is similar to the actual river pattern. If river pattern cluster in 4 groups, the result matches well with the actual river pattern. It is concluded that fuzzy cluster analysis method of river pattern classification in alluvial river is reliable, but the statistics method is difficult to obtain the threshold values of boundaries and the river pattern can´t be classified effectively.
Keywords :
fuzzy logic; geophysical signal processing; hydrological techniques; pattern classification; rivers; sediments; Huayuankou hydrologic station; Lijin hydrologic station; Lower Yellow River; alluvial river; boundary threshold value; fuzzy cluster analysis method; plant taxonomy; river pattern classification; sediment transport theory; stabilization degree equation; Economics; Equations; Hydrology; Pattern classification; Presses; Rivers; Sediments; Fuzzy equivalence matrix clustering; Natural river pattern classification; River sediment engineering; Sediment transportion equilibrium degree;
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
DOI :
10.1109/ICETCE.2011.5774428