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首页> 外文期刊>Advances in space research >The use of SARAL/AltiKa altimeter measurements for multi-site hydrodynamic model validation and rating curves estimation: An application to Brahmaputra River
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The use of SARAL/AltiKa altimeter measurements for multi-site hydrodynamic model validation and rating curves estimation: An application to Brahmaputra River

机译:使用SARAL / ALTIKA高度计测量对于多站点流体动力模型验证和评级曲线估算:在Brahmaputra River的应用

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摘要

Hydrodynamic (HD) modelling in data sparse region represents a challenge due to poor hydrological and topographic data availability. Recently, remote sensing techniques offer additional data that may help to improve the reliability and accuracy of such analysis. In this study, an attempt has been made to investigate the potential and added value of altimeter measurements for multi-site validation of the HD model and constructed rating curves (RCs) in a sparsely gauged Brahmaputra River, India. The HD model (MIKE 11) was developed for a Brahmaputra River stretch of 135 km, between Tezpur and Guwahati, where 4 ground-tracks of the SARAL/AltiKa (the first Ka band altimeter mission) cross the river. The Nash Sutcliffe efficiency (NSE) between HD model based water level and in-situ water level during calibration (January-October 2013) and validation (January-March 2014) was found to be 0.93 and 0.79 respectively. Calibrated and validated HD model was used to simulate water level and build rating curves at virtual stations. The bias correction (7.2 cm to 9.5 cm) was applied to the altimetry measurements before comparison with the modelled water levels. The root mean square error (RMSE) ranging between 15 cm and 42 cm was observed between the modelled and altimetry-derived water level at all the virtual stations, indicating the potential of satellite altimetry for multi-site validation of the HD model (inline with previous studies) and validation of the constructed RCs. The availability of RCs at virtual stations allows the expansion of the gauging network along the Brahmaputra River, thus enabling the estimation of the discharge at additional locations and the potential evaluation of the contributions of lateral tributaries could be evaluated in future work.
机译:数据稀疏区域中的液动力学(HD)建模代表了由于水文和地形数据可用性差而导致的挑战。最近,遥感技术提供了额外的数据,可以有助于提高这种分析的可靠性和准确性。在这项研究中,已经尝试研究高度计测量的高度计测量的潜在和附加值,以便在印度稀疏的胸部曲线河河流中的HD模型和构造曲线(RCS)的多站点验证。高清型号(Mike 11)是为Tezpur和Guwahati之间的135公里的Brahmaputra河延伸而开发,其中4个地面赛道的苏尔/ Altika(第一个Ka Band Altimeter Mission)穿过河流。校准期间基于HD模型和原位水位之间的纳什Sutcliffe效率(NSE)(2013年1月至10月)和验证(2014年1月至3月)分别为0.93和0.79。校准和验证的HD模型用于模拟水位并在虚拟站构建额定值曲线。在与模型水平相比之前,将偏压校正(7.2cm至9.5cm)施加到高度测量中。在所有虚拟站的建模和高级测定的水位之间观察到15cm和42cm之间的根均方误差(RMSE),指示HD模型的多站点验证的卫星Altimetry的潜力(内联以前的研究)和构造RCS的验证。虚拟站的RCS的可用性允许沿着Brahmaputra河沿着衡量网络的扩展,从而能够在未来的工作中评估额外位置的放电估计,并且可以在将来的工作中评估横向支流的贡献。

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