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分布式水文模型子流域编码方法对比分析
引用本文:刘佳嘉,周祖昊,贾仰文,王浩.分布式水文模型子流域编码方法对比分析[J].河海大学学报(自然科学版),2017,45(1):22-29.
作者姓名:刘佳嘉  周祖昊  贾仰文  王浩
作者单位:中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038; 水利部水资源与水生态工程技术研究中心, 北京 100038,中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038; 水利部水资源与水生态工程技术研究中心, 北京 100038,中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038; 水利部水资源与水生态工程技术研究中心, 北京 100038,中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038; 水利部水资源与水生态工程技术研究中心, 北京 100038
基金项目:国家水体污染控制与治理科技重大专项(2008ZX07207-006,2012ZX07201-006);江西省水利科技重大项目(KT201501, KT201411);国家重点基础研究发展计划(973 计划)(2015CB452701)
摘    要:根据分布式水文模型对子流域编码的要求,对文献中河流和流域编码方法进行研究。研究发现只有5种编码方式符合要求,分别是:拓扑属性表法、二叉树编码、多叉树编码、Pfafstetter法、干支拓扑编码。在深入研究这5种编码规则的基础上,对比分析其优缺点,并以第二松花江作为实例进行子流域划分及编码。结果表明:拓扑属性表法、多叉树编码和干支拓扑编码方法在河段单一汇流、多河段汇流支持方面优于其他编码方法;在直接计算相邻上下游子流域编码方面,拓扑属性表法可以直接查找获取,二叉树编码和干支拓扑码编码方法可直接计算,Pfafstetter编码和多叉树编码均需要遍历整个编码体系进行搜索获取;在判别任意2个子流域上下游关系方面,Pfafstetter编码和干支拓扑码均优于其他3种方法。不同编码方式具有各自的优缺点,在实际应用中需要根据不同分布式水文模型具体研究内容和编码要求选择适宜的编码方式。

关 键 词:分布式水文模型  Pfafstetter  编码  二叉树编码  多叉树编码  干支拓扑编码  子流域划分
收稿时间:2016/1/26 0:00:00

Comparison analysis of subwatershed codification methods for distributed hydrological model
LIU Jiaji,ZHOU Zuhao,JIA Yangwen and WANG Hao.Comparison analysis of subwatershed codification methods for distributed hydrological model[J].Journal of Hohai University (Natural Sciences ),2017,45(1):22-29.
Authors:LIU Jiaji  ZHOU Zuhao  JIA Yangwen and WANG Hao
Institution:State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China; Engineering and Technology Research Center for Water Resources and Hydroecology of the Ministry of Water Resources, Beijing 100038, China,State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China; Engineering and Technology Research Center for Water Resources and Hydroecology of the Ministry of Water Resources, Beijing 100038, China,State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China; Engineering and Technology Research Center for Water Resources and Hydroecology of the Ministry of Water Resources, Beijing 100038, China and State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China; Engineering and Technology Research Center for Water Resources and Hydroecology of the Ministry of Water Resources, Beijing 100038, China
Abstract:According to the requirements of subwatershed codification for distributed hydrological models, river and watershed codification methods described in literature were studied. It is found that only five coding methods can meet the requirements of distributed hydrological models: the topological property table coding method (TPTCM), binary-tree coding method (BCM), multi-tree coding method (MCM), Pfafstetter coding method (PCM), and stem-branch topological coding method (SBTOPO). The advantages and the disadvantages of the five methods were examined based on analysis of their coding rules. The second Songhua River was selected as the study area for subwatershed division and codification. The results show that the TPTCM, MCM, and SBTOPO are superior to the other two methods in one-way and multi-way confluence situations. The TPTCM can directly find and obtain the codes of adjacent inflow and outflow subwatersheds, and the BCM and SBTOPO can directly calculate their codes, but the PCM and MCM obtain their codes by searching the entire coding system. The PCM and SBTOPO are better than the other three methods in terms of analysis of the upstream and downstream relationships between any two subwatersheds. All five coding methods have their own advantages and disadvantages. A suitable coding method should be selected according to research contents and coding requirements of distributed hydrological models in practical applications.
Keywords:distributed hydrological model  Pfafstetter coding  binary-tree coding  multi-tree coding  stem-branch topological coding  subwatershed division
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