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首页> 外文期刊>Hydrology and Earth System Sciences >Bi-criteria evaluation of the MIKE SHE model for a forested watershed on the South Carolina coastal plain
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Bi-criteria evaluation of the MIKE SHE model for a forested watershed on the South Carolina coastal plain

机译：南卡罗来纳州沿海平原森林流域的MIKE SHE模型的双标准评估

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Hydrological models are important tools for effective management,conservation and restoration of forested wetlands. The objective of thisstudy was to test a distributed hydrological model, MIKE SHE, by usingbi-criteria (i.e., two measurable variables, streamflow and water tabledepth) to describe the hydrological processes in a forested watershed thatis characteristic of the lower Atlantic Coastal Plain. Simulations werecompared against observations of both streamflow and water table depthmeasured on a first-order watershed (WS80) on the Santee Experimental Forestin South Carolina, USA. Model performance was evaluated using coefficient ofdetermination (R2) and Nash-Sutcliffe's model efficiency (E). The E androot mean squared error (RMSE) were chosen as objective functions forsensitivity analysis of parameters. The model calibration and validationresults demonstrated that the streamflow and water table depth weresensitive to most of the model input parameters, especially to surfacedetention storage, drainage depth, soil hydraulic properties, plant rootingdepth, and surface roughness. Furthermore, the bi-criteria approach used fordistributed model calibration and validation was shown to be better than thesingle-criterion in obtaining optimum model input parameters, especially forthose parameters that were only sensitive to some specific conditions. Modelcalibration using the bi-criteria approach should be advantageous forconstructing the uncertainty bounds of model inputs to simulate thehydrology for this type of forested watersheds. R2 varied from0.60–0.99 for daily and monthly streamflow, and from 0.52–0.91 for dailywater table depth. E changed from 0.53–0.96 for calibration and 0.51–0.98for validation of daily and monthly streamflow, while E varied from0.50–0.90 for calibration and 0.66–0.80 for validation of daily water tabledepth. This study showed that MIKE SHE could be a good candidate forsimulating streamflow and water table depth in coastal plain watersheds.
机译：水文模型是有效管理，保护和恢复森林湿地的重要工具。这项研究的目的是通过使用双向标准（即两个可测量的变量，流量和地下水位深度）来描述一个分布在大西洋沿岸平原下的森林流域的水文过程，从而测试分布式水文模型MIKE SHE。将模拟与在美国南卡罗来纳州Santee实验林的一阶分水岭（WS80）上测量的水流和地下水位的观测值进行了比较。使用确定系数（ R 2 ）和Nash-Sutcliffe的模型效率（ E ）评估模型性能。选择 E 和均方根误差（RMSE）作为参数敏感性分析的目标函数。模型的标定和验证结果表明，水流和地下水位深度对大多数模型输入参数敏感，特别是对表层蓄水，排水深度，土壤水力特性，植物生根深度和表面粗糙度敏感。此外，在获得最佳模型输入参数（尤其是仅对某些特定条件敏感的参数）的最佳模型输入参数方面，用于分布式模型校准和验证的双标准方法被证明比单标准更好。使用双标准方法进行模型校准对于构造模型输入的不确定性边界以模拟此类森林流域的水文学来说应该是有利的。 R 2 的日流量和月流量在0.60-0.99之间，日地下水位深度在0.52-0.91之间。 E 的校准范围从0.53–0.96更改为每日和每月流量验证的0.51–0.98，而 E 的校准范围从0.50–0.90更改为0.66-0.80每天的地下水位深度。这项研究表明，MIKE SHE可以很好地模拟沿海平原流域的水流和地下水位深度。

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