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Hydrological Similarity-Based Parameter Regionalization under Different Climate and Underlying Surfaces in Ungauged Basins
Water ( IF 3.4 ) Pub Date : 2021-09-13 , DOI: 10.3390/w13182508
Huaijun Wang , Lei Cao , Ru Feng

Hydrological similarity-based parameter regionalization is the dominant method used for runoff prediction in ungauged basin. However, the application of this approach depends on assessing hydrological similarity between basins. This study used data for runoff, climate, and the underlying surface of the Hulan River Basin and Poyang Lake Basin to construct a novel physical hydrological similarity index (HSI). The index was used to compare the efficiency of transfer of the parameters of commonly used regionalization methods and to finally apply parameters to ungauged basins. The results showed that: (1) Precipitation is the main climatic factor regulating magnitude of runoff in the Poyang Lake Basin. Spring runoff in Hulan River Basin was regulated by precipitation and temperature. (2) The GR4J and CemaNeigeGR4J models achieved reasonable simulations of runoff of Poyang Lake Basin and Hulan River Basin. Although CemaNeigeGR4J considers snowmelt, the model simulations of spring runoff in the Hulan River Basin were not accurate. (3) There was a significant correlation between climate, the underlying surface, and hydrological model parameters. There were fewer significant correlations between environmental factors and between environmental factors and hydrological model parameters in the Hulan River Basin compared to those in the Poyang Lake Basin, possibly due to less sub-basins in the Hulan River Basin. (4) The HSI based on a combination of principal component analysis and the entropy method efficiently identified the most similar gauged basin for an ungauged basin. A significant positive correlation existed between the HSI and parameter transfer efficiency. The relationship between the HSI and transfer efficiency could be represented by logistic regression and linear regression in the Poyang Lake Basin and Hulan River Basin, respectively. The HSI was better able to quantify the hydrological similarity between basins in terms of climate and underlying surface and can provide a scientific reference for the transfer of hydrological model parameters in an ungauged basin.

中文翻译:

未测量盆地不同气候和下垫面下基于水文相似性的参数区划

基于水文相似性的参数区域化是用于未测量流域径流预测的主要方法。然而,这种方法的应用取决于评估流域之间的水文相似性。本研究利用呼兰河流域和鄱阳湖流域的径流、气候和下垫面数据构建了一个新的物理水文相似指数(HSI)。该指数用于比较常用区域化方法的参数传递效率,并最终将参数应用于未测量的盆地。结果表明:(1)降水是鄱阳湖流域径流大小调节的主要气候因子。呼兰河流域春季径流受降水和温度的调控。(2) GR4J和CemaNeigeGR4J模型实现了对鄱阳湖流域和呼兰河流域径流的合理模拟。CemaNeigeGR4J虽然考虑了融雪,但对呼兰河流域春季径流的模型模拟并不准确。(3) 气候、下垫面和水文模型参数之间存在显着相关性。与鄱阳湖流域相比,呼兰河流域的环境因子之间以及环境因子与水文模型参数之间的显着相关性较小,可能是由于呼兰河流域的子流域较少。(4) 基于主成分分析和熵方法相结合的 HSI 有效地为未测量盆地识别了最相似的测量盆地。HSI 与参数传递效率之间存在显着的正相关。在鄱阳湖流域和呼兰河流域,恒生指数与转移效率之间的关系可以分别用逻辑回归和线性回归来表示。HSI能够更好地量化流域之间气候和下垫面的水文相似性,可以为未测量流域水文模型参数的传递提供科学参考。
更新日期:2021-09-13
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