Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River

Huang, Qi; Long, Di; Du, Mingliang; Zeng, Chao; Qiao, Gang; Li, Xingdong; Hou, Aizhong; Hong, Yang

doi:10.1016/j.rse.2018.10.008

Cited by 113 publications

(81 citation statements)

References 54 publications

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“…where, W is the width of the water surface; D the depth of the water; α and θ are the angles of the river bank. According to Huang [61], the river discharge of trapezoidal section can be estimated by using altimetry satellite and optical image. However, in a data-poor area, it is difficult to obtain effective water depth data from medium-sized and small, wide and shallow rivers because the depth extraction error is large from a lack of verification points and poor data quality from satellite altimetry.…”

Section: Estimated River Dischargementioning

confidence: 99%

“…Therefore, satellite altimetry is not suitable for wide and shallow rivers in the arid and data-poor areas in northwestern China. According to Huang [61], the roughness coefficient (n) and slope (S) are considered as constants to avoid using them as dynamic variables. Based on this hypothesis and the characteristics of rivers in arid areas, this study determined coefficient c and water depth index (f) to describe the relationship between water depth and river discharge using the method proposed by Huang [61] combined with energy Equations (2)-(4) [62].…”

Section: Estimated River Dischargementioning

confidence: 99%

“…Finally, for different river sections, river parameters were obtained based on low-altitude UAV images, which were then converted into Equations dependent on different satellite source variables as input data to obtain the river discharge estimation method of this study Equation (6). According to Huang [61], the river discharge of trapezoidal section can be estimated by using altimetry satellite and optical image. However, in a data-poor area, it is difficult to obtain effective water depth data from medium-sized and small, wide and shallow rivers because the depth extraction error is large from a lack of verification points and poor data quality from satellite altimetry.…”

Section: Estimated River Dischargementioning

confidence: 99%

“…According to Huang [61], the roughness coefficient (n) and slope (S) are considered as constants to avoid using them as dynamic variables. Based on this hypothesis and the characteristics of rivers in arid areas, this study determined coefficient c and water depth index (f) to describe the relationship between water depth and river discharge using the method proposed by Huang [61] combined with energy Equations (2)-(4) [62]. On this basis, the water depth D [61] was replaced by the water depth (d) Water 2019, 11, 2633 5 of 19 in Equation (3), i.e., Equation (5).…”

Section: Estimated River Dischargementioning

confidence: 99%

“…Based on this hypothesis and the characteristics of rivers in arid areas, this study determined coefficient c and water depth index (f) to describe the relationship between water depth and river discharge using the method proposed by Huang [61] combined with energy Equations (2)-(4) [62]. On this basis, the water depth D [61] was replaced by the water depth (d) Water 2019, 11, 2633 5 of 19 in Equation (3), i.e., Equation (5). Finally, for different river sections, river parameters were obtained based on low-altitude UAV images, which were then converted into Equations dependent on different satellite source variables as input data to obtain the river discharge estimation method of this study Equation (6).…”

Section: Estimated River Dischargementioning

confidence: 99%

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Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert

Yang

Wang

et al. 2019

Water

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The arid desert ecosystem is very fragile, and the change of its river discharge has a direct impact on irrigation and natural environment. River discharge attenuation coefficients is a key index to reveal the stability of desert river ecosystem. However, due to the harsh conditions in desert areas, it is difficult to establish a hydrological station to obtain data and calculate the attenuation coefficients, so it is urgent to develop new methods to master the attenuation coefficients of rivers. In this study, Taklamakan desert river was selected as the research area, and the river discharge of the desert river were estimated by combining low-altitude UAV and satellite remote sensing technology, so as to calculate the attenuation status of the river in its natural state. Combined with satellite remote sensing, the surface runoff in the desert reaches of the Hotan River from 1993 to 2017 were estimated. The results showed that the base of runoff attenuation in the lower reaches of the Hotan River is 40%. Coupled UAV and satellite remote sensing technology can provide technical support for the study of surface runoff in desert rivers within ungauged basins. Using UAV and satellite remote sensing can monitor surface runoff effectively providing important reference for river discharge monitoring in ungauged catchments.The attenuation coefficients of river discharge is the key index for maintaining fluvial ecosystems and arises through evaporation and infiltration during transport, which is usually calculated from the flow rate during the dry season [9,10]. The process of driving river attenuation depends on a series of physicochemical and biological parameters such as river velocity, temperature, vertical hydrological exchange of surface runoff and groundwater [11,12]. In the past 30 years, some relatively mature computational methods have been developed [13][14][15][16], which can be mainly divided into hydrological methods, hydraulic methods, habitat simulation methods and holistic analysis methods. These methods require a lot of information and require a long time of investigation, which tends to be carried out in areas with abundant hydrological data. However, large portions of total River Basins across the globe are either poorly gauged or completely ungauged [17][18][19], and hydrological observation networks are continuously deteriorating [20]. Therefore, there is a lack of research on surface runoff in ungauged catchments of arid desert [21][22][23], and the study on river attenuation is basically blank, resulting in high variability of attenuation rate in rivers, which complicates the prediction of environmental flows [24,25].Calculating the streamflow in ungauged catchments is surrounded by uncertainty, and is thus a challenging, yet vital task for water management. New and easily accessible satellite data have been increasingly steadily in recent years. Many studies have been conducted using satellite data to estimate river discharge [26][27][28]. Traditional methods for estimating river discharge mainly a...

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Section: Estimated River Dischargementioning

confidence: 99%

Section: Estimated River Dischargementioning

confidence: 99%

Section: Estimated River Dischargementioning

confidence: 99%

Section: Estimated River Dischargementioning

confidence: 99%

Section: Estimated River Dischargementioning

confidence: 99%

See 3 more Smart Citations

Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert

Yang

Wang

et al. 2019

Water

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Watershed Controls and Tropical Cyclone-Induced Changes in River Hydraulic Geometry in Puerto Rico

Wright

Bledsoe³

2021

Preprint

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At-a-station hydraulic geometry (AHG), which describes how channel width, depth, and velocity vary with discharge at a river cross section, has long been used to study fluvial processes. For example, identification of landscape and river reach drivers of hydraulic geometry can help to predict channel properties at ungaged sites and to understand channel responses to major floods. Most prior AHG studies have focused on mid-latitude, temperate regions. Tropical zones-including those affected by tropical cyclones (TCs)-have received less attention. This study analyzed spatial and temporal variability in hydraulic geometry at 24 stream gaging sites in Puerto Rico, and identified the watershed and river reach characteristics that correlate with each hydraulic geometry parameter. These characteristics were then used to build regression models of AHG parameters, with relatively high predictive power. The largest flood events from each site were found to cause systematic changes to AHG parameters; most of these floods were caused by major TCs. Upstream drainage area, average watershed elevation, watershed land cover and other characteristics were found to be significant predictors of AHG parameters. Reaches with steeper slopes were found to have limited lateral adjustability, which may reflect consolidated bank materials and valley confinement. Watersheds with high percentages of forested area showed greater changes in roughness but less vertical adjustability than more developed watersheds. These correlation results help inform whether river channel properties in Puerto Rico and similar environments are resistant to the forces of TC-induced flooding, and how these properties are affected by major floods.

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Multisource remote sensing data facilitate ecohydrological simulations without runoff calibration

Yang

Scanlon

2022

Hydrological Processes

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Observed runoff is typically the only variable applied to calibrate ecohydrological models, which can simulate runoff well but cannot guarantee reliable reproduction of other hydrological components (e.g., evapotranspiration (ET) and total terrestrial water storage change (TWSC)). This study explores the potential of estimating hydrological components (runoff, ET, TWSC, groundwater, and root‐zone water storage.) using a conceptual model driven and calibrated by multisource remote sensing data only. The performances of the model were evaluated in 13 catchments with different geological, climatic and vegetation conditions. Results show that the model was encouraging in simulating monthly runoff (median KGE, 0.71; RMSE, 19.4 mm/mon), ET (median KGE, 0.86; RMSE, 9.0 mm/mon), and TWSC (median KGE, 0.58; RMSE, 26.6 mm/mon). The good positive correlation between root‐zone water storage and gross primary productivity also indicates the effectiveness of the model in simulating root‐zone water storage. This study offers new prospects for estimating key ecohydrological components precisely, especially in catchments that are difficult to monitor (e.g., karst regions) and catchments with limited observation data (e.g., ungauged regions).

show abstract

Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River

Cited by 113 publications

References 54 publications

Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert

Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert

Watershed Controls and Tropical Cyclone-Induced Changes in River Hydraulic Geometry in Puerto Rico

Multisource remote sensing data facilitate ecohydrological simulations without runoff calibration

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