River closure classification for water conservancy and hydropower projects based on fuzzy clustering method
Cheng Huan · Engineering Journal of Wuhan University · 2011
On the basis of collection and analysis of a great quantity of real hydroelectric projects river closure data,the authors apply the methods of systems analysis and statistical analysis to analyze and screen the clustering index of river closure and determine river closure discharge,maximum head drop,maximum average velocity of cross-section and maximum water depth of river closure gap these four indices to carry out clustering analysis.The authors use the SPSS data analysis software to apply clustering analysis in the closure data collected based on the principle of systems clustering and divide the closure of rivers into five types considering the practical experiences,then have described the characteristic,risk feature and difficulty level of river closure;at the same time,the method of analysis is applied to the three projects which need to be ranked.The results are concordant with theoretical and factual knowledge.The academic achievements of this article has laid the foundations of intensive study of risk decision of river closure,and has certain reference significance for planning,design and construction of river closure.