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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Calibrating a hydrological model in a regional river of the Qinghai-Tibet plateau using river water width determined from high spatial resolution satellite images
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Calibrating a hydrological model in a regional river of the Qinghai-Tibet plateau using river water width determined from high spatial resolution satellite images

机译:使用高空间分辨率卫星图像确定的河水宽度校准了青藏高原区域河流水文模型

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The potential for estimating streamflow in large continental rivers from satellite observations of river hydraulic variables has been well recognized. However this has not been widely applied to smaller regional rivers. In this study, we investigated the reliability of calibrating a hydrological model for the upper Yalongjiang River Basin on the Qinghai-Tibet Plateau, based solely on river water surface widths derived from four high spatial resolution commercial satellite images: two from QuickBird and one each from IKONOS and WorldView-1. The model was forced using satellite-based meteorological datasets and calibrated using remotely sensed river widths. In situ gauged data are not used for modeling, making the approach applicable for ungauged basins. To shift the calibration objective from streamflow to river width, the hydrological model is connected to the at-a station hydraulic geometry (AHG) relationship. Generalized likelihood uncertainty estimation was used for automatic calibration and to better quantify simulation uncertainty. After constraining the model parameter space solely to the river width observations, the Nash-Sutcliffe Efficiency values for the streamflow simulated using the calibrated model reached 64.3% in the calibration period and 55.8% in the validation period. When calibrating the model using river width datasets with designed measurement error associated with riparian canopy, the influences of error on model simulation were less than expected. This was because the effect of the error was counteracted by adjustment of the AHG parameters. Both superimposing updated ranges for the AHG parameters and further constraining the model output using hydrological signature information following calibration reduced simulation uncertainty, particularly with use of the latter method. This study demonstrates the potential for application of the proposed calibration method to regional ungauged basins lacking ground streamflow observation data, and provide
机译:公认,估算大型大陆河流中的流流程的潜力得到了很好的认可。然而,这尚未被广泛应用于较小的区域河流。在这项研究中,我们调查了校准了青藏高原上部亚龙江流域水文模型的可靠性,仅基于源自四个高空间分辨率商业卫星图像的河水表面宽度:两个来自Quickbird的两种,每个来自Quickbird ikonos和worldview-1。该模型采用基于卫星的气象数据集强制,并使用远程感测的河宽校准。在原位测量数据不用于建模,使得适用于未凝固的盆地的方法。要将校准目标从流流向沿河宽度转移,水文模型连接到站液压几何(AHG)关系。广义似然不确定性估计用于自动校准,并更好地量化模拟不确定性。在仅限于河宽观察到河宽度观测的模型参数空间之后,使用校准模型模拟的Stream流程的NASH-Sutcliffe效率值在校准期中达到64.3%,验证期中为55.8%。使用具有与河域冠层相关的设计测量误差的河宽数据集校准模型时,模型模拟误差的影响小于预期。这是因为通过调整AHG参数来抵消误差的效果。叠加更新的AHG参数的范围,并进一步使用水文签名信息进一步约束模型输出,这些信息在校准后减少模拟不确定性,特别是在使用后一种方法。本研究证明了将建议的校准方法应用于缺乏地面流式流出数据的区域未凝固盆地的可能性,并提供

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