文章摘要
王新民, 马长明, 刘波波, 杜 鑫, 秦 雪.信息熵在水文模型信息评价中的应用Journal of Water Resources and Water Engineering[J].,2014,25(6):56-60
信息熵在水文模型信息评价中的应用
Application of information entropy in information evaluation of hydrological model
  
DOI:10.11705/j.issn.1672-643X.2014.06.011
中文关键词: 日径流  信息熵  RR模型  新安江模型  水文模型
英文关键词: day runoff  information entropy  RR model  xin'an river model  hydrological model
基金项目:国家水体污染控制与治理科技重大专项(2009ZX07104-006)
Author NameAffiliation
WANG Xinmin, MA Changming, LIU Bobo, DU Xin, QIN Xue (北京工业大学 建筑工程学院 北京 100124) 
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中文摘要:
      针对四川省安宁河流域安宁桥站集水区构建数字高程模型及水系划分,分别以MIKE11的降雨径流模型(RR模型)与新安江模型完成了流域日径流过程数值模拟,选定确定性系数DC和相对径流深误差BIAS作为两个控制指标,应用信息熵理论对两个模型的模拟结果进行比较分析。信息熵计算过程以观测日径流量为标准序列,模拟计算的日径流量为观测序列计算残差,进行归一化处理,进而计算了潜在信息测度和信息熵相对测度。结果表明:依据信息熵最大理论对水文模型的参数确定和模拟效果评价是有效的;同时也须指出在对不同模型进行对比评价时,信息熵的相对值也满足差异信息理论的非唯一性原理。
英文摘要:
      The paper set up digital elevation watershed model and divided water system aimed at water collection area of Anningqiao hydrology station in Anning river basin,and simulated the daily runoff process of the watershed by means of two widely used rainfall-runoff software of MIKE11 and Xinanjiang hydrolical model.It chose DC and BIAS as two control indexes and. compared and analyzed the simulation results of RR model and Xinanjiang Model based on the theory of information entropy. Taking the day runoff as standard secquence and the computered day runoff as standard calculated residual, the paper normalized and calculated potential information measure and relative information entropy measure.The conclusions are that the maximum number of information entropy is practicable to determine the hydrological model's parameters and evaluate the simulating results.When carrying out comparative evaluation to difference models,the relative value of information entropy will also meet the principle of non-uniqueness of differential information theory.
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