The assessment of spatial and temporal transferability of at physically based distributed hydrological model parameters in different physiographic regions of Nepal
The assessment of spatial and temporal transferability of at physically based distributed hydrological model parameters in different physiographic regions of Nepal
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DOI：
10.1016/j.jhydrol.2007.09.016
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发表时间：
2007-12-15
影响因子：
6.4
通讯作者：
Takeuchi, K.
中科院分区：
文献类型：
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作者：
Shrestha, S.;Bastola, S.;Takeuchi, K.
BTOPMC（块地使用TOPMODEL与Muskingum-Cunge路由）模型测试了校准模型参数的时空可转移性，以预测尼泊尔不同地理区域的各种径流成分（径流量、峰值流量和基础流量）。为了评估空间可转移性，利用六个流域的时间序列数据对模型进行了校准和验证。结果表明，该模型能较好地模拟各径流组分，并能较好地捕捉季节和年径流。径流的变化。基于相似性指数选择供体流域的模型参数，并使用区划方案将模型参数应用于其他两个数据有限的流域。结果表明，在空间上转换模型参数后，该模型能较好地再现径流的径流量、基流、季节和年变化。为了评估时间可转移性，在Bagmati河流域测试了两种不同的情景。第一种方案使用了三个数据集：1994-1997年用于校准，1998-1999年用于验证，2000-2002年用于评估。第二种方案也使用了三个数据集：2000-2002年用于校准，2003年用于验证，1994-1997年用于评估模型参数的可转移性。当校准参数从一个周期转移到另一个周期时，只观察到模型性能的边际损失。因此，该研究表明，BTOPMC模型的校准参数可以在位于相似地理区域的河流流域内，特别是在数据稀疏的流域内进行时空转移。这种区域化模式可用于水文模拟，研究土地利用和气候变化的影响。(c) 2007 Elsevier B.V.版权所有
The BTOPMC (Blockwise use of TOPMODEL with Muskingum-Cunge routing) model was tested for spatial and temporal transferability of the calibrated model parameters to predict various runoff components (runoff volumes, peak flows and base flows) in different physiographic regions of Nepal. To evaluate the spatial transferability, the model was calibrated and validated using available time series data in six catchments. Results show that the model performed well in simulating various runoff components and capturing the seasonal and annual. variations in runoff. The model parameters of donor catchments were selected based on the similarity index and applied in other two data limited catchments using the regionalisation scheme. Results show that the model could reproduce the runoff volume, base flows, seasonal and annual variations in runoff when the model parameters were transferred spatially. To evaluate temporal transferability, two different scenarios were tested in a river catchment, Bagmati river. The first scenario used three data sets: 1994-1997 for calibration, 1998-1999 for validation, and 2000-2002 data for evaluation. The second scenario also used three data sets: 2000-2002 for calibration, 2003 for validation and 1994-1997 for evaluating transferability of model parameters. Only a marginal loss in model performance was observed when calibrated parameters were transferred from one period to another period. This study therefore suggests that the calibrated parameters of BTOPMC model can be spatially and temporally transferred within river catchments located in similar physiographic regions and especially in those catchments where data is sparse. Such regionalized models can be used for hydrological simulations to study the impacts of land use and climate changes. (c) 2007 Elsevier B.V. All rights reserved.