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Analysis of Runoff Temporal and Spatial Distribution Based on Cloud Model

机译:基于云模型的径流时空分布分析

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In the past data mining and knowledge discovery, people mainly focused on the study of data mining algorithms, while neglected of research on knowledge expression, quantitative and qualitative transformation. The paper put the quantitative and qualitative characteristics of cloud model into hydrological time series analysis, and the construction method of runoff temporal and spatial distribution based on cloud model is proposed, through the numerical features of cloud model, the characteristics of runoff temporal and spatial distribution able to give in quantity and in quality. The method has been applied in the Minjiang watershed, the result has been compared with M-K trend test, is reasonable. In the recent year, droughts and floods have been happened in the upstream of Yangtze River basin including Minjing and other watershed frequently, cloud model able to give quantitative and qualitative water resources assessment, will give suggestive advice for water management
机译:在过去的数据挖掘和知识发现中,人们主要集中在数据挖掘算法的研究上,而对知识表达,定量和定性转换的研究则忽略了。将云模型的定量和定性特征纳入水文时间序列分析,提出了基于云模型的径流时空分布构造方法,通过云模型的数值特征,径流时空分布特征能够提供数量和质量。该方法已在the江流域得到应用,其结果与M-K趋势检验进行了比较,是合理的。近年来,长江流域包括闵jing等流域频繁发生旱涝灾害,云模型能够对水资源进行定量和定性评估,为水的管理提供建议。

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