Improvement of the Digital Yellow River Integrated Model based on multisource remote sensing

被引：0
|
作者：
Xue Y. [1 ,2 ,3 ]
Qin C. [1 ,2 ,3 ]
Wu B. [1 ,2 ,3 ]
Zhang G. [1 ,2 ,3 ]
Li D. [4 ]
Fu X. [1 ,2 ,3 ]
机构：
[1] State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing
[2] Key Laboratory of Hydrosphere Sciences of Ministry of Water Resources, Tsinghua University, Beijing
[3] Department of Hydraulic Engineering, Tsinghua University, Beijing
[4] Emergency Science Research Academy, China Coal Technology & Engineering Croup Co., Ltd., China Coal Research Institute, Beijing
来源：
Shuili Xuebao/Journal of Hydraulic Engineering | 2023年 / 54卷 / 08期
关键词：
cross section morphology; Digital Yellow River Integrated Model; mountain rivers; multisource remote sensing;
D O I：
10.13243/j.cnki.slxb.20220896
中图分类号：
学科分类号：
摘要：
Many rivers are developed in mountainous areas, but these rivers are difficult to measure on site due to the complex topography, and it is impossible to obtain sufficient basic river information, which makes mountain rivers a typical poorly gauged basin. This study combines 68 river cross sections extracted from multisource remote sensing data and 34 river cross sections measured by hydrological stations to establish a generalized model of river cross sections in the middle Yellow River. The generalized model of river cross sections, river surfaces and traditional DEM river networks forms a relatively complete river boundary geometric morphology of the entire watershed. Based on the river boundary geometric data, the confluence model of the Digital Yellow River Integrated Model (DYRIM) was improved. Subsequently, in the Huangfuchuan River basin, which is the first-order tributary of the Yellow River, based on the improved DYRIM, we simulated and verified the daily runoff process in the 2016 flood season and 21 typical flood processes from 2010 to 2016 after using data from 2010 to 2015 to calibrate the model. The results show that the input parameters of the improved model can be obtained from remote sensing observations, and the simulated Nash-Sutcliffe efficiency coefficient of daily discharge is higher than 0.8. The simulated errors of flow velocity and water depth are 7% and 9% respectively, the error of peak discharge of flood is 15% on average, and the error of peak present time was approximately 1.4 h, all of which were significantly improved compared to before. This research can provide basic data and technical references for the simulation of hydrological processes of mountain rivers and research on river geomorphology evolution. © 2023 China Water Power Press. All rights reserved.
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页码：930 / 941
页数：11
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