Calibrating a hydrological model in a regional river of the Qinghai–Tibet plateau using river water width determined from high spatial resolution satellite images

Sun, Wenchao; Fan, Jiao; Wang, Guo Qiang; Ishidaira, Hiroshi; Bastola, Satish; Yu, Jingshan; Fu, Yongshuo H.; Kiem, Anthony S.; Zuo, Depeng; Xu, Zongxue

doi:10.1016/j.rse.2018.05.020

Cited by 37 publications

(28 citation statements)

References 52 publications

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“…This study demonstrates how data obtained from satellite images can be integrated into hydrologic-hydraulic modelling in plain areas that are typically associated with surface water accumulation. This methodology allows for a more accurate determination of the flooding surface area and its boundaries, which is particularly important in the absence of flow rate values, as was also suggested by [129,130]. Advances in satellite observation provide important information on various aspects of the storage and movement of surface water, such as the extent of inundated areas, water surface elevation, water depth and river discharge, and variations in terrestrial water storage [131].…”

Section: Discussionmentioning

confidence: 96%

A Novel Approach for the Integral Management of Water Extremes in Plain Areas

et al. 2019

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: Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their consequences in order to decide on management strategies. Moreover, the integration of hydrologic models with hydraulic models under continuous or event-based approaches would synergistically contribute to better forecasting of water extreme consequences under different scenarios. This study conducted at the Santa Catalina stream basin (Buenos Aires province, Argentina) focuses on the integration of numerical models to analyze the hydrological response of plain areas to water extremes under different scenarios involving the implementation of an eco-efficient infrastructure (i.e., the integration of a green infrastructure and hydraulic structures). The two models used for the integration were: the Soil and Water Assessment Tool (SWAT) and the CELDAS8 (CTSS8) hydrologic-hydraulic model. The former accounts for the processes related to the water balance (e.g., evapotranspiration, soil moisture, percolation, groundwater discharge and surface runoff), allowing for the analysis of water extremes for either dry or wet conditions. Complementarily, CTSS8 models the response of a basin to a rainfall event (e.g., runoff volume, peak flow and time to peak flow, flooded surface area). A 10-year data record (2003–2012) was analyzed to test different green infrastructure scenarios. SWAT was able to reproduce the waterflow in the basin with Nash Sutcliffe (NS) efficiency coefficients of 0.66 and 0.74 for the calibration and validation periods, respectively. The application of CTSS8 for a flood event with a return period of 10 years showed that the combination of a green infrastructure and hydraulic structures decreased the surface runoff by 28%, increased the soil moisture by 10% on an average daily scale, and reduced the impact of floods by 21% during rainfall events. The integration of continuous and event-based models for studying the impact of water extremes under different hypothetical scenarios represents a novel approach for evaluating potential basin management strategies aimed at improving the agricultural production in plain areas.

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Section: Discussionmentioning

confidence: 96%

A Novel Approach for the Integral Management of Water Extremes in Plain Areas

et al. 2019

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“…In ungauged basins lacking any ground observations, satellite observations of river width can be used as a surrogate to represent streamflow variations and be applied to hydrological model calibration [172]. Even river discharge can be estimated exclusively using satellite-derived parameters (e.g., river width, water depth, flow velocity) [173][174][175][176]. For example, [174] proposed a satellite-only AMHG (at-many-stations hydraulic geometry) discharge retrieval method.…”

Section: Remotely Sensed River Widthmentioning

confidence: 99%

“…Overall, promising results of streamflow retrievals from satellite observations of river hydraulic variables have been reported in large continental rivers with river widths exceeding 100 m. However, they have not been applied to smaller regional rivers. More importantly, satellite-based streamflow retrievals cannot achieve the accuracy of in situ observations and should not be treated as a gauge replacement strategy [176][177][178].…”

Section: Remotely Sensed River Widthmentioning

confidence: 99%

The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review

Jiang

Wang

2019

Water

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A hydrological model is a useful tool to study the effects of human activities and climate change on hydrology. Accordingly, the performance of hydrological modeling is vitally significant for hydrologic predictions. In watersheds with intense human activities, there are difficulties and uncertainties in model calibration and simulation. Alternative approaches, such as machine learning techniques and coupled models, can be used for streamflow predictions. However, these models also suffer from their respective limitations, especially when data are unavailable. Satellite-based remote sensing may provide a valuable contribution for hydrological predictions due to its wide coverage and increasing tempo-spatial resolutions. In this review, we provide an overview of the role of satellite-based remote sensing in streamflow simulation. First, difficulties in hydrological modeling over highly regulated basins are further discussed. Next, the performance of satellite-based remote sensing (e.g., remotely sensed data for precipitation, evapotranspiration, soil moisture, snow properties, terrestrial water storage change, land surface temperature, river width, etc.) in improving simulated streamflow is summarized. Then, the application of data assimilation for merging satellite-based remote sensing with a hydrological model is explored. Finally, a framework, using remotely sensed observations to improve streamflow predictions in highly regulated basins, is proposed for future studies. This review can be helpful to understand the effect of applying satellite-based remote sensing on hydrological modeling.

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“…(2) Daily continuous discharge (3) Simultaneous use of multiple hydraulic variables Sun et al (2018) Model calibration using river widths (2) Daily continuous discharge This study Model calibration using water levels and SWOT-like data…”

Section: Introductionmentioning

confidence: 99%

Daily Continuous River Discharge Estimation for Ungauged Basins Using a Hydrologic Model Calibrated by Satellite Altimetry: Implications for the SWOT Mission

Huang

Long

et al. 2020

Water Resources Research

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The emergence of state‐of‐the‐art satellite altimetry has provided new prospects for integrating water surface elevation (water level) measurements with a hydrologic model for river discharge estimation, which is particularly suited for poorly gauged or ungauged basins. In this context, we explored the possibility of model calibration using Jason‐2‐derived water levels, followed by SWOT (the Surface Water and Ocean Topography mission)‐like data (the combination of Landsat 5/8‐derived at‐a‐section river widths and concurrent gauged water levels). Two types of empirical formulas designed specifically for altimetry‐derived water levels and the joint use of water levels and river widths, respectively, were used to derive discharge, which was integrated with a hydrologic model (CREST‐RS). Here we present results of estimating daily continuous river discharge in narrow rivers for the upper Brahmaputra River (UBR) and Lhasa River (LR) using the developed approach independent of in situ discharge measurements. Five scenarios were performed: (1) model calibration using the Jason‐2‐derived water levels and SWOT‐like data in the UBR (scenarios I–III) and (2) model calibration using the SWOT‐like data for the LR (scenarios IV–V). Results showed that model calibration using the Jason‐2‐derived water levels could provide reasonably well‐constrained parameters for discharge estimation, with the Nash‐Sutcliffe Efficiency coefficient (NSE) reaching 0.85 during 2003–2014. For the SWOT‐like data, the NSE reached 0.85 for the UBR and 0.75 for the LR. This study highlights the potential of performing model calibration using satellite altimetry and SWOT‐like observations, which paves the way to estimate river discharge for ungauged basins globally.

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Calibrating a hydrological model in a regional river of the Qinghai–Tibet plateau using river water width determined from high spatial resolution satellite images

Cited by 37 publications

References 52 publications

A Novel Approach for the Integral Management of Water Extremes in Plain Areas

A Novel Approach for the Integral Management of Water Extremes in Plain Areas

The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review

Daily Continuous River Discharge Estimation for Ungauged Basins Using a Hydrologic Model Calibrated by Satellite Altimetry: Implications for the SWOT Mission

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