Estimation of River Discharge Using Unmanned Aerial Vehicle (UAV) Based on Manning Formula for an Ungauged Alpine River in the Eastern Qilian Mountains

被引:5
作者
Cai, Mingyong [1 ,2 ]
Gao, Jixi [2 ]
Fan, Xuanmei [1 ]
Liu, Sihan [2 ]
Shen, Wenming [2 ]
He, Chaoyang [1 ]
机构
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China
[2] MEE, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
river discharge; UAV; ADCP; ungauged mountain river; CLIMATE-CHANGE;
D O I
10.3390/w14132100
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
River discharge is crucial to water resources development and ecological protection. However, in some arid areas of northwest China, it is still difficult to measure discharge accurately. In this study, unmanned aerial vehicle (UAV) imagery has been used to estimate river discharge at two river sections in the upper reaches of the Shiyang River in the eastern part of the Qilian Mountains based on the Manning formula. The estimated discharges at those two sections are 1.16 m(3)/s and 3.11 m(3)/s, respectively. Taking the discharges measured by an acoustic Doppler current profiler (ADCP) as the reference, the relative error of the estimates is below 5%, which is accurate enough for water resources management in mountain basin regions. Multiple high-resolution satellite images were also used to calculate water discharges at the two sections, which were in good agreement with the discharges estimated from UAVs. This study demonstrates the feasibility of using UAVs to estimate river discharge, which is of great significance for future regional-scale water resource assessments.
引用
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页数:9
相关论文
共 39 条
  • [1] [Anonymous], 2016, Agisoft PhotoScan User Manual: Professional Edition, Version 1.3
  • [2] High-Resolution Monitoring of Glacier Mass Balance and Dynamics with Unmanned Aerial Vehicles on the Ningchan No. 1 Glacier in the Qilian Mountains, China
    Cao, Bo
    Guan, Weijin
    Li, Kaiji
    Pan, Baotian
    Sun, Xiaodong
    [J]. REMOTE SENSING, 2021, 13 (14)
  • [3] Changes in glacier mass in the Lenglongling Mountains from 1972 to 2016 based on remote sensing data and modeling
    Cao, Bo
    Pan, Baotian
    Wen, Zhenling
    Guan, Weijin
    Li, Kaiji
    [J]. JOURNAL OF HYDROLOGY, 2019, 578
  • [4] Glacial geomorphological mapping: A review of approaches and frameworks for best practice
    Chandler, Benjamin M. P.
    Lovell, Harold
    Boston, Clare M.
    Lukas, Sven
    Barr, Iestyn D.
    Benediktsson, Ivar Orn
    Benn, Douglas I.
    Clark, Chris D.
    Darvill, Christopher M.
    Evans, David J. A.
    Ewertowski, Marek W.
    Loibl, David
    Margold, Martin
    Otto, Jan-Christoph
    Roberts, David H.
    Stokes, Chris R.
    Storrar, Robert D.
    Stroeven, Arjen P.
    [J]. EARTH-SCIENCE REVIEWS, 2018, 185 : 806 - 846
  • [5] Unmanned aerial systems for photogrammetry and remote sensing: A review
    Colomina, I.
    Molina, P.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 92 : 79 - 97
  • [6] Water Turbidity Retrieval Based on UAV Hyperspectral Remote Sensing
    Cui, Mengying
    Sun, Yonghua
    Huang, Chen
    Li, Mengjun
    [J]. WATER, 2022, 14 (01)
  • [7] An observational radiative constraint on hydrologic cycle intensification
    DeAngelis, Anthony M.
    Qu, Xin
    Zelinka, Mark D.
    Hall, Alex
    [J]. NATURE, 2015, 528 (7581) : 249 - +
  • [8] Einstein H. A., 1944, 55 USDA SOIL CONS SE
  • [9] Inference of effective river properties from remotely sensed observations of water surface
    Garambois, Pierre-Andre
    Monnier, Jerome
    [J]. ADVANCES IN WATER RESOURCES, 2015, 79 : 103 - 120
  • [10] Gauckler P., 1867, ETUDES THEORIQUES PR