Hydrologic Modelling of Data Scarce Basin with SWAT Model: Capabilities and Limitations
Hydrologic Modelling of Data Scarce Basin with SWAT Model: Capabilities and Limitations
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DOI：
10.1007/s11269-014-0828-3
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发表时间：
2015-01
影响因子：
4.3
通讯作者：
M. Nyeko
中科院分区：
文献类型：
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作者：
M. Nyeko
水文模型是水资源管理的前提。不幸的是，在数据稀缺的流域水文模拟一直是困难的。目前的研究，探讨了使用“数据有限”模型土壤水评估工具（SWAT）在建模位于乌干达北方的下Aswa盆地。本研究采用了不同的技术来生成和估计各种缺失的模型参数和输入，特别是太阳辐射、饱和土壤导水率、有效土壤含水量、通用土壤流失方程可蚀性因子和湿润土壤含水量。土壤水分评估工具模型，然后手动校准使用每月的历史径流记录。校准是成功的，决定系数（R2）值为0.618，纳什和萨特克利夫效率值为0.47。使用独立数据集的校准模型的验证显示出更好的模型性能，Nash和Sutcliffe效率值为0.64，决定系数（R2）值为0.56。水文模型的成功校准土壤水评估工具下的数据稀缺仍然证明了该模型的应用潜力，即使在数据有限的流域，但更特别是水资源管理人员谁需要了解现有的条件和建模可能的未来。
Hydrologic modelling is pre-requisite to water resources management. Unfortunately, hydrologic modelling in data scare basin has always been difficult. The current study, explored the use of “data limited” model Soil Water Assessment Tool (SWAT) in modelling lower Aswa basin located in northern Uganda. The study adopted different techniques in generating and estimating various missing model parameters and input especially solar radiation, saturated soil hydraulic conductivity, available soil water content, Universal Soil Lost Equation erodibility factor and moist soil albedo. Soil Water Assessment Tool model was then manually calibrated using monthly historical streamflow records. The calibration was successful with coefficient of determination (R2) value of 0.618 and the Nash and Sutcliffe efficiency value of 0.47. Validation of the calibrated model using independent dataset shows even better model performance with Nash and Sutcliffe efficiency value of 0.64 and coefficient of determination (R2) value of 0.56. Successful calibration of hydrologic model Soil Water Assessment Tool under the data scarcity still proves the potential of the application of the model even in data limited basin, but more especially by water resources managers who needs understanding of existing condition and modelling possible future.