摘要
【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′4parame′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】(1)3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;(2)M2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;(3)M1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。
【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.②The simulation results using the Xinanjiang model combined with the confluence structure of the HYMOD model were comparable to those simulated using the Xinanjiang model.③Combining 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.
作者
章丽萍
蒋晓蕾
程娜
赫淑杰
付晓雷
胡乐怡
ZHANG Liping;JIANG Xiaolei;CHENG Na;HE Shujie;FU Xiaolei;HU Leyi(College of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225000,China;Key Laboratory of Hydrometeorological Disaster Mechanism and Waring of Water Resources,Nanjing University of Information Science&Technology,Nanjing 210098,China;Shandong Flood and Drought Disaster Prevention Material Support Centre,Jinan 250014,China)
出处
《灌溉排水学报》
CAS
CSCD
2024年第2期78-84,共7页
Journal of Irrigation and Drainage
基金
国家自然科学基金资助项目(52109036,42371021,52379007)
河海大学水灾害防御全国重点实验室“一带一路”水与可持续发展科技基金面上项目(2022491111,2021490611)
水利部水文气象灾害机理与预警重点实验室开放基金(HYMED202210,HYMED202203)
江苏省研究生科研与实践创新计划项目(KYCX23_3549,KYCX23_3546)。
