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土石坝温度观测资料HURST指数研究

Research on HURST Index of Observation Data for Dam Temperature

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【作者】 周志维段祥宝谢罗峰王宇严文群

【Author】 ZHOU Zhi-wei;DUAN Xiang-bao;XIE Luo-feng;WANG Yu;YAN Wen-qun;Nanjing Hydraulic Research Institute;College of Water Resources Science and Engineering,Yangzhou University;State Key Laboratory of Hydrology-water Resources and Hydraulic Engineering,Nanjing Hydraulic Research Institute;

【机构】 南京水利科学研究院扬州大学水利科学与工程学院南京水利科学研究院水文水资源及水利工程科学国家重点试验室

【摘要】 土石坝温度场是坝体系统复杂因素综合作用结果。基于分形理论HURST指数建立了土石坝温度分形模型。以石梁河水库温度监测资料为例,计算了土石坝温度场的HURST指数及分维数。结果表明,分形模型能较好反映土石坝温度变化;温度变化特征与空间分布有关,坝体上游温度自相似性较大;中下游坝体自相似性较好,且与气温分形规律相近。可应用温度分布反馈土石坝渗流变化特征。

【Abstract】 The temperature distribution characteristics of the dam system are the results of complicated factors.Based on the HURST index and the fractal theory,a dam temperature fractal model is established.Taking the Shilianghe Reservoir temperature monitoring data for example,the temperature field of dam HURST index and fractal dimension is calculated.The results show that the fractal model can better reflect the variations of temperature.The temperature variation rule is related to the spatial distribution,the upstream temperature self-similarity bigger;Self-similarity of the middle and lower reaches is better,and is similar to the climate fractal.

【关键词】 温度分形HURST指数分维数渗流
【Key words】 temperaturefractalHURST indexfractal dimensionsseepage
  • 【文献出处】 中国农村水利水电 ,China Rural Water and Hydropower , 编辑部邮箱 ,2014年06期
  • 【分类号】TV641;TV698.1
  • 【被引频次】2
  • 【下载频次】100
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