基于多种水文模型结构改进新安江模型
【目的】针对水文模型结构的不足提出改进方法。【方法】选择新安江模型、GR4J（mode′le du Ge′nie Rural a′4 parame′tres Journalier）模型以及HYMOD模型在淮河流域进行应用对比分析，并基于GR4J模型与HYMOD模型的汇流结构对新安江模型进行改进，提出2种改进模型方法。【结果】①3种概念性水文模型在淮河王家坝流域均具有较好的适用性，其中新安江模型效果最好，但该模型在大流量模拟时存在低估现象；②M2模型（HYMOD模型汇流结构下的新安江模型）与新安江模型的模拟结果相近，大流量的模拟同样偏小，改进效果不明显；③M1模型（GR4J模型汇流结构下的新安江...
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| Published in | Guanʻgai paishui xuebao Vol. 43; no. 2; pp. 78 - 84 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
Xinxiang City
Chinese Academy of Agricultural Sciences (CAAS) Farmland Irrigation Research Institute Editorial Office of Journal of Irrigation and Drainage
01.02.2024
水利部水文气象灾害机理与预警重点实验室、南京信息工程大学,南京 210098%山东省防汛抗旱物资储备中心,济南 250014 扬州大学 水利科学与工程学院,江苏 扬州 225000%扬州大学 水利科学与工程学院,江苏 扬州 225000 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1672-3317 |
| DOI | 10.13522/j.cnki.ggps.2023416 |
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| Abstract | 【目的】针对水文模型结构的不足提出改进方法。【方法】选择新安江模型、GR4J（mode′le du Ge′nie Rural a′4 parame′tres Journalier）模型以及HYMOD模型在淮河流域进行应用对比分析，并基于GR4J模型与HYMOD模型的汇流结构对新安江模型进行改进，提出2种改进模型方法。【结果】①3种概念性水文模型在淮河王家坝流域均具有较好的适用性，其中新安江模型效果最好，但该模型在大流量模拟时存在低估现象；②M2模型（HYMOD模型汇流结构下的新安江模型）与新安江模型的模拟结果相近，大流量的模拟同样偏小，改进效果不明显；③M1模型（GR4J模型汇流结构下的新安江模型）模拟效果最佳，可以有效改善新安江模型对大流量的模拟效果，改进效果显著。【结论】M1模型可以有效改善新安江模型模拟径流时出现流量以及洪峰流量的低估现象，在研究流域内具有一定的应用价值。 |
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| AbstractList | 【目的】针对水文模型结构的不足提出改进方法。【方法】选择新安江模型、GR4J（mode′le du Ge′nie Rural a′4 parame′tres Journalier）模型以及HYMOD模型在淮河流域进行应用对比分析，并基于GR4J模型与HYMOD模型的汇流结构对新安江模型进行改进，提出2种改进模型方法。【结果】①3种概念性水文模型在淮河王家坝流域均具有较好的适用性，其中新安江模型效果最好，但该模型在大流量模拟时存在低估现象；②M2模型（HYMOD模型汇流结构下的新安江模型）与新安江模型的模拟结果相近，大流量的模拟同样偏小，改进效果不明显；③M1模型（GR4J模型汇流结构下的新安江模型）模拟效果最佳，可以有效改善新安江模型对大流量的模拟效果，改进效果显著。【结论】M1模型可以有效改善新安江模型模拟径流时出现流量以及洪峰流量的低估现象，在研究流域内具有一定的应用价值。 TV11; [目的]针对水文模型结构的不足提出改进方法.[方法]选择新安江模型、GR4J(mode'le du Ge'nie Rural a'4 parame'tres Journalier)模型以及HYMOD模型在淮河流域进行应用对比分析,并基于GR4J模型与HYMOD模型的汇流结构对新安江模型进行改进,提出 2种改进模型方法.[结果]①3种概念性水文模型在淮河王家坝流域均具有较好的适用性,其中新安江模型效果最好,但该模型在大流量模拟时存在低估现象;②M2 模型(HYMOD 模型汇流结构下的新安江模型)与新安江模型的模拟结果相近,大流量的模拟同样偏小,改进效果不明显;③M1模型(GR4J模型汇流结构下的新安江模型)模拟效果最佳,可以有效改善新安江模型对大流量的模拟效果,改进效果显著.[结论]M1 模型可以有效改善新安江模型模拟径流时出现流量以及洪峰流量的低估现象,在研究流域内具有一定的应用价值. |
| Abstract_FL | [Objective]The Xinanjiang model is a hydrological model widely used for catchment modelling,but its accuracy depends on many factors.The objective of this paper is to present ways to improve the Xinanjiang model.[Method]The study is based on the Wangjiaba sub-catchment in the Huaihe River basin.Three models,including the conventional Xinanjiang model,the GR4J(mode′le du Ge′nie Rural a′4 parame′tres Journalier)model and the HYMOD model,were used to model flow in the sub-catchment.Based on the convolution structure of the GR4J and the HYMOD model,we proposed two methods to improve Xinanjiang model.[Result]①All three models simulated the flow in the sub-catchment well,but the Xinanjiang model was the best,despite its underestimation of the flow when discharge was large.② The simulation results using the Xinanjiang model combined with the confluence structure of the HYMOD model were comparable to those simulated using the Xinanjiang model.③ Combining the Xinanjiang model with the confluence structure of the GR4J model improved the simulation accuracy when discharge flow was large.[Conclusion]Combining the Xinganjiang model with the confluence structure of the GR4J model can resolve the underestimated runoff at peak discharge by the Xinganjiang model.The proposed model can hence improve catchment modelling. |
| Author | HE, Shujie CHENG, Na ZHANG, Liping JIANG, Xiaolei FU Xiaolei HU Leyi |
| AuthorAffiliation | 扬州大学 水利科学与工程学院,江苏 扬州 225000%扬州大学 水利科学与工程学院,江苏 扬州 225000;水利部水文气象灾害机理与预警重点实验室、南京信息工程大学,南京 210098%山东省防汛抗旱物资储备中心,济南 250014 |
| AuthorAffiliation_xml | – name: 扬州大学 水利科学与工程学院,江苏 扬州 225000%扬州大学 水利科学与工程学院,江苏 扬州 225000;水利部水文气象灾害机理与预警重点实验室、南京信息工程大学,南京 210098%山东省防汛抗旱物资储备中心,济南 250014 |
| Author_FL | JIANG Xiaolei CHENG Na HE Shujie ZHANG Liping FU Xiaolei HU Leyi |
| Author_FL_xml | – sequence: 1 fullname: ZHANG Liping – sequence: 2 fullname: JIANG Xiaolei – sequence: 3 fullname: CHENG Na – sequence: 4 fullname: HE Shujie – sequence: 5 fullname: FU Xiaolei – sequence: 6 fullname: HU Leyi |
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| Copyright | 2024. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| SubjectTerms | Accuracy Catchment models Catchments Discharge Flood peak Flow simulation Hydrologic models Hydrology Modelling River basins |
| Title | 基于多种水文模型结构改进新安江模型 |
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