Performance of an Unmanned Aerial Vehicle (UAV) in Calculating the Flood Peak Discharge of Ephemeral Rivers Combined with the Incipient Motion of Moving Stones in Arid Ungauged Regions
Performance of an Unmanned Aerial Vehicle (UAV) in Calculating the Flood Peak Discharge of Ephemeral Rivers Combined with the Incipient Motion of Moving Stones in Arid Ungauged Regions
复制标题
无人机在干旱未测地区结合移动石块初动计算临时河流洪峰流量的性能
DOI:
10.3390/rs12101610
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发表时间:
2020-05
期刊:
影响因子:
5
通讯作者:
任霄玉
中科院分区:
文献类型:
--
作者:
杨胜天;李超君;娄和震;王鹏飞;王娟;任霄玉
Ephemeral rivers are vital to ecosystem balance and human activities as essential surface runoff, while convenient and effective ways of calculating the peak discharge of ephemeral rivers are scarce, especially in ungauged areas. In this study, a new method was proposed using an unmanned aerial vehicle (UAV) combined with the incipient motion of stones to calculate the peak discharge of ephemeral rivers in northwestern China, a typical arid ungauged region. Two field surveys were conducted in dry seasons of 2017 and 2018. Both the logarithmic and the exponential velocity distribution methods were examined when estimating critical initial velocities of moving stones. Results reveal that centimeter-level orthoimages derived from UAV data can demonstrate the movement of stones in the ephemeral river channel throughout one year. Validations with peak discharge through downstream culverts confirmed the effectiveness of the method. The exponential velocity distribution method performs better than the logarithmic method regardless of the amount of water through the two channels. The proposed method performs best in the combination of the exponential method and the river channel with evident flooding (>20 m3/s), with the relative accuracy within 10%. In contrast, in the river channel with a little flow (around 1 m3/s), the accuracies are weak because of the limited number of small moving stones found due to the current resolution of UAV data. The poor performance in the river channel with a little flow could further be improved by identifying smaller moving stones, especially using UAV data with better spatial resolution. The presented method is easy and flexible to apply with appropriate accuracy. It also has great potential for extensive applications in obtaining runoff information of ephemeral rivers in ungauged regions, especially with the quick advance of UAV technology.
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影响因子:
3.3
作者:
J. Bullard;G. McTainsh;P. Martin
通讯作者:
J. Bullard;G. McTainsh;P. Martin
DOI:
10.13101/ijece.3.27
发表时间:
2010
期刊:
International Journal of Erosion Control Engineering
影响因子:
--
作者:
Takashi Kimura;Sunao Watanabe;S. Kim;T. Marutani
通讯作者:
Takashi Kimura;Sunao Watanabe;S. Kim;T. Marutani
DOI:
10.1023/b:visi.0000029664.99615.94
发表时间:
2004-11-01
影响因子:
19.5
作者:
Lowe, DG
通讯作者:
Lowe, DG
影响因子:
3.7
作者:
Ma L;Wu J;Abuduwaili J;Liu W
通讯作者:
Liu W
DOI:
10.1144/gsl.sp.2004.226
发表时间:
2004
期刊:
Geological Society, London, Special Publications
影响因子:
--
作者:
J. Malpas;C. Fletcher;J. Ali;J. Aitchison
通讯作者:
J. Malpas;C. Fletcher;J. Ali;J. Aitchison