干旱区生态环境知识资源中心(Arid): Low-Altitude Remote Sensing Inversion of River Flow in Ungauged Basins

Arid

DOI	10.3390/su141912792
	Low-Altitude Remote Sensing Inversion of River Flow in Ungauged Basins
	Zhou, Mingtong; Guo, Yuchuan; Wang, Ning; Wei, Xuan; Bai, Yunbao; Wang, Huijing
通讯作者	Guo, YC
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2022
卷号	14 期号:19
英文摘要	Runoff is closely related to human production, the regional environment, and hydrological characteristics. It is also an important basis for water cycle research and regional water resource development and management. However, obtaining hydrological information for uninformed river sections is complicated by harsh environments, limited transportation, sparse populations, and a low density of hydrological observation stations in the inland arid zone. Here, low-altitude remote sensing technology was introduced to combine riverbed characteristics through unmanned aerial vehicle (UAV) inversion with classical hydraulic equations for ungauged basins in the middle and lower reaches of the Keriya River, northwest China, and investigate the applicability of this method on wide and shallow riverbeds of inland rivers. The results indicated that the estimated average error of the low-altitude remote sensing flow was 8.49% (ranging 3.26-17.00%), with a root mean square error (RMSE) of 0.59 m(3)center dot s(-1) across the six selected river sections, suggesting that this method has some applicability in the study area. Simultaneously, a method for estimating river flow based on the water surface width- and water depth-flow relationship curves for each section was proposed whereas the precise relationships were selected based on actual section attributes to provide a new method for obtaining runoff data in small- and medium-scale river areas where information is lacking.
英文关键词	flow estimation UAV remote sensing Manning formula ungauged basins
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000867362900001
WOS关键词	SYNTHETIC-APERTURE RADAR ; SATELLITE IMAGERY ; DISCHARGE ; WATER ; SYSTEMS ; RUNOFF ; MODELS ; UAV
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394654
推荐引用方式 GB/T 7714	Zhou, Mingtong,Guo, Yuchuan,Wang, Ning,et al. Low-Altitude Remote Sensing Inversion of River Flow in Ungauged Basins[J],2022,14(19).
APA	Zhou, Mingtong,Guo, Yuchuan,Wang, Ning,Wei, Xuan,Bai, Yunbao,&Wang, Huijing.(2022).Low-Altitude Remote Sensing Inversion of River Flow in Ungauged Basins.SUSTAINABILITY,14(19).
MLA	Zhou, Mingtong,et al."Low-Altitude Remote Sensing Inversion of River Flow in Ungauged Basins".SUSTAINABILITY 14.19(2022).