气候变化领域集成服务门户(CCPortal): Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets

CCPortal

DOI	10.3390/rs12071064
	Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets
	Kebede, Mulugeta Genanu; Wang, Lei; Yang, Kun; Chen, Deliang; Li, Xiuping; Zeng, Tian; Hu, Zhidan
通讯作者	Wang, L (通讯作者)
发表日期	2020
EISSN	2072-4292
卷号	12 期号:7
英文摘要	Reliable information about river discharge plays a key role in sustainably managing water resources and better understanding of hydrological systems. Therefore, river discharge estimation using remote sensing techniques is an ongoing research goal, especially in small, headwater catchments which are mostly ungauged due to environmental or financial limitations. Here, a novel method for river discharge estimation based entirely on remote sensing-derived parameters is presented. The model inputs include average river width, estimated from Landsat imagery by using the modified normalized difference water index (MNDWI) approach; average depth and velocity, based on empirical equations with inputs from remote sensing; channel slope from a high resolution shuttle radar topography mission digital elevation model (SRTM DEM); and channel roughness coefficient via further analysis and classification of Landsat images with support of previously published values. The discharge of the Lhasa River was then estimated based on these derived parameters and by using either the Manning equation (Model 1) or Bjerklie equation (Model 2). In general, both of the two models tend to overestimate discharge at moderate and high flows, and underestimate discharge at low flows. The overall performances of both models at the Lhasa gauge were satisfactory: comparisons with the observations yielded Nash-Sutcliffe efficiency coefficient (NSE) and R-2 values >= 0.886. Both models also performed well at the upper gauge (Tanggya) of the Lhasa River (NSE >= 0.950) indicating the transferability of the methodology to river cross-sections with different morphologies, thus demonstrating the potential to quantify streamflow entirely from remote sensing data in poorly-gauged or ungauged rivers on the Tibetan Plateau.
关键词	SATELLITE RADAR ALTIMETRY SYNTHETIC-APERTURE RADAR DIGITAL ELEVATION MODEL FRESH-WATER DISCHARGE WETLAND DYNAMICS INUNDATION AREA INDEX NDWI CALIBRATION RUNOFF BASIN
英文关键词	Landsat images; MNDWI; SRTM DEM; streamflow; Lhasa River basin; Ungauged rivers
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000537709600014
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260057
推荐引用方式 GB/T 7714	Kebede, Mulugeta Genanu,Wang, Lei,Yang, Kun,et al. Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets[J]. 中国科学院青藏高原研究所,2020,12(7).
APA	Kebede, Mulugeta Genanu.,Wang, Lei.,Yang, Kun.,Chen, Deliang.,Li, Xiuping.,...&Hu, Zhidan.(2020).Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets.REMOTE SENSING,12(7).
MLA	Kebede, Mulugeta Genanu,et al."Discharge Estimates for Ungauged Rivers Flowing over Complex High-Mountainous Regions based Solely on Remote Sensing-Derived Datasets".REMOTE SENSING 12.7(2020).