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Assessment of Spatial and Temporal Soil Water Storage Using a Distributed Hydrological Model
Water Resources Management ( IF 3.9 ) Pub Date : 2020-11-11 , DOI: 10.1007/s11269-020-02711-4
Nayara P. V. Andrade , Marcelo R. Viola , Samuel Beskow , Tamara L. Caldeira , Li Guo , Carlos R. Mello

Hydrological models are the main tools for water resources management. The Lavras Simulation of Hydrology (LASH) model was developed for watersheds with scarce data, and great results have been obtained in Brazil. This study aimed to incorporate hydrological response units (HRUs) in the LASH model to assess soil water storage (SWS) across space and time. The LASH model was calibrated and validated for the Grande River basin upstream of the Furnas Hydropower Plant, in southeastern Brazil. The Nash-Sutcliff coefficient (CNS) and its logarithmic version were analyzed in terms of both calibration and validation to appraise the model’s performance in a daily time step. The CNS for calibration and validation was 0.86 and 0.77, respectively, showing that LASH using the HRUs produced improvements in the simulations. The calibrated parameters showed a good relationship with hydrological processes in HRUs, and SWS estimates reflected the soils, topography, and land use of the watershed. LASH could describe the SWS behavior and identify the sub-watersheds with the highest and the lowest values. Therefore, the LASH model is a promising tool for SWS simulation in time and space.



中文翻译:

利用分布式水文模型评估土壤时空储水量

水文模型是水资源管理的主要工具。Lavras水文模拟(LASH)模型是针对缺乏数据的流域开发的,在巴西已经获得了很好的结果。这项研究旨在将水文响应单位(HRU)纳入LASH模型中,以评估跨时空的土壤水存储(SWS)。LASH模型已在巴西东南部Furnas水力发电站上游的Grande流域进行了校准和验证。在校准和验证方面对Nash-Sutcliff系数(C NS)及其对数形式进行了分析,以评估模型在每日时间步中的性能。C NS用于校准和验证的结果分别为0.86和0.77,这表明使用HRU的LASH在仿真中产生了改进。校准后的参数显示出与HRU中的水文过程有良好的关系,并且SWS的估算反映了流域的土壤,地形和土地利用。LASH可以描述SWS行为并识别具有最高和最低值的子流域。因此,LASH模型是用于时空模拟SWS的有前途的工具。

更新日期:2020-11-12
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