多维异构洪水过程因子相似性评价方法研究  

Study on Similarity Evaluation Method Based on Multidimensional Heterogeneous Flood Process Factors

作　　者：于洋洋[1,2] 李毅[2] 杨国范[1] 龚建华[2] 

机构地区：[1]沈阳农业大学水利学院,辽宁沈阳110161 [2]中国科学院遥感与数字地球研究所遥感科学国家重点实验室,北京100101

出　　处：《地理与地理信息科学》2014年第5期93-98,共6页Geography and Geo-Information Science

基　　金：国家自然科学青年基金项目"洪水演进虚实耦合实验机理与关键技术研究(41101363)";中国科学院知识创新工程重要方向项目"协同虚拟地理实验理论与关键技术研究"(KZCX2-EW-318)

摘　　要：在研究相似性概念和评价方法的基础上,针对洪水过程因子的时空分布特点,进一步提出综合性评价方法框架;针对洪水过程中水深时间序列数据和面状淹没范围等多维异构洪水过程因子,分别进行了相似性评价方法研究,并采用重要性排序法确定权重。以辽宁浑河沈阳城市段的洪水数值模拟结果和物理模型观测数据相似性分析为例,对多个观测站点的水深时间序列数据、流速数据及淹没范围数据进行相似性分析,分析洪水演进模型结果的相似性。Flood process is a complex geographical process of space-time dynamic change. Similarity study is one of important fields in water science nowadays. The main means to analyze and study flood process is model experiment, including numerical model and physical model. By comprehensively evaluating multi-state parameters obtained from different model experiments, ac- curacy of model experiment results can be assessed more objectively. With study of concept and evaluation method of the simi- larity, firstly the frame of a comprehensive evaluation method is hereby determined with respect to the characteristics of space- time distribution of the obtained flood process factors. Secondly, similarity evaluation methods are studied, respectively, and weights are determined with Rank-order Weighting, based on multidimensional heterogeneous flood process factors of water- deep time series and planar inundated area during a flood process. Finally, taking numerical simulation results and similarity a- nalysis of observed data of physical model of the flood in Shenyang city segment of Hunhe River, Liaoning Province, as example, similarity measurement is conducted with the data of deep-water time series, flow velocity, inundated area of multi-station and similarity of flood routing model is overall and effectively evaluated and analyzed.

关 键 词：洪水模型实验 数值模拟 时间序列 洪水过程因子 多维异构 相似性 

分 类 号：P426.616[天文地球—大气科学及气象学]