Understanding the Geophysical Sources of Uncertainty for Satellite Interferometric (SRTM)-Based Discharge Estimation in River Deltas: The Case for Bangladesh

Sikder, Safat; Hossain, Faisal

doi:10.1109/jstars.2014.2326893

Cited by 13 publications

(10 citation statements)

References 28 publications

(42 reference statements)

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“…As typical algorithms of the slope-area method, the Manning-Strickler formula (M-S), Saint-Venant system of equivalence (S-V), and Darcy-Weisbach equivalence (D-W) are widely used to calculate river discharge and water conservation potential [36,42,43].…”

Section: Hydraulic Algorithmsmentioning

confidence: 99%

“…When the channel roughness is a constant, discharge is linked with river slope and cross-sectional area [34]. The slope-area method, based on physical laws and mathematical deduction, has achieved a series of results in the discharge calculation of medium and small rivers [35][36][37]. The slope-area method expresses the influence of different environmental factors on river discharge.…”

Section: Introductionmentioning

confidence: 99%

“…With different data sources, the slope-area method has various expressions [37,38] and has been adapted to complex environments. With the help of multiple data, more methods, such as Manning-Strickler formula (M-S), Saint-Venant system of equivalence (S-V-1, S-V-2), and the Darcy-Weisbach equivalence (D-M) have been applied [26,36]. This paper aims to extend the slope-area method using UAV data following three steps:…”

Section: Introductionmentioning

confidence: 99%

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Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Yang

Wang

Lou

et al. 2019

Water

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River discharge is of great significance in the development of water resources and ecological protection. There are several large ungauged catchments around the word still lacking sufficient hydrological data. Obtaining accurate hydrological information from these areas is an important scientific issue. New data and methods must be used to address this issue. In this study, a new method that couples unmanned aerial vehicle (UAV) data with the classical slope–area method is developed to calculate river discharges in typical ungauged catchments. UAV data is used to obtain topographic information of the river channels. In situ experiments are carried out to validate the river data. Based on slope–area method, namely the Manning–Strickler formula (M–S), Saint-Venant system of equivalence (which has two definitions, S-V-1 and S-V-2), and the Darcy–Weisbach equivalence (D–W) are used to estimate river discharge in ten sections of the Tibet Plateau and Dzungaria Basin. Results show that the overall qualification rate of the calculated discharge is 70% and the average Nash–Sutcliffe efficiency coefficient is 0.97, indicating strong practical application in the study area. When the discharge is less than 10 m3⁄s, D–W is the most appropriate method; M–S and S-V-1 are better than other methods when the discharge is between 10 m3⁄s and 50 m3⁄s. However, if the discharge is greater than 50 m3⁄s, S-V-2 provides the most accurate results. Furthermore, we found that hydraulic radius is an important parameter in the slope–area method. This study offers a quick and convenient solution to extract hydrological information in ungauged catchments.

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Section: Hydraulic Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Yang

Wang

Lou

et al. 2019

Water

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“…[] simulations were excluded from the analyses to avoid the influence of model initial conditions. As the model was calibrated against in situ stage data, its results may be considered a proper surrogate of true hydrodynamics of this river system, from which SWOT measurements were sampled [ Sikder and Hossain , ; Siddique‐E‐Akbor et al ., ].…”

Section: Gbm River System In Bangladesh Case Study: Experimental Designmentioning

confidence: 99%

Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data

2015

Self Cite

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Recent efforts have sought to estimate river discharge and other surface water-related quantities using spaceborne sensors, with better spatial coverage but worse temporal sampling as compared with in situ measurements. The Surface Water and Ocean Topography (SWOT) mission will provide river discharge estimates globally from space. However, questions on how to optimally use the spatially distributed but asynchronous satellite observations to generate continuous fields still exist. This paper presents a statistical model (River Kriging-RK), for estimating discharge time series in a river network in the context of the SWOT mission. RK uses discharge estimates at different locations and times to produce a continuous field using spatiotemporal kriging. A key component of RK is the space-time river discharge covariance, which was derived analytically from the diffusive wave approximation of Saint Venant's equations. The RK covariance also accounts for the loss of correlation at confluences. The model performed well in a case study on Ganges-Brahmaputra-Meghna (GBM) River system in Bangladesh using synthetic SWOT observations. The correlation model reproduced empirically derived values. RK (R 2 50.83) outperformed other kriging-based methods (R 2 50.80), as well as a simple time series linear interpolation (R 2 50.72). RK was used to combine discharge from SWOT and in situ observations, improving estimates when the latter is included (R 2 50.91). The proposed statistical concepts may eventually provide a feasible framework to estimate continuous discharge time series across a river network based on SWOT data, other altimetry missions, and/or in situ data.

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“…Huq, Bruns and Ribbe (2019) assessed long-term (1973-2014) and short-term (pre-and post-monsoon) quantities, values, and changes of freshwater ecosystem services (FES) in the "beel" areas (i.e., large-surface water body that accumulates surface runoff water) of the middle-south and south-west regions (e.g., Khulna-Gopalganj beel) of Bangladesh [48]. Sikdar and Hossain (2015) studied the geophysical sources of uncertainty for satellite interferometric (SRTM)-based discharge estimation in the river deltas of Bangladesh [49].…”

Section: Sdg 152-wetlandmentioning

confidence: 99%

Remote Sensing-Based Research for Monitoring Progress towards SDG 15 in Bangladesh: A Review

et al. 2020

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The Sustainable Development Goals (SDGs) have been in effect since 2015 to continue the progress of the Millennium Development Goals. Some of the SDGs are expected to be achieved by 2020, while others by 2030. Among the 17 SDGs, SDG 15 is particularly dedicated to environmental resources (e.g., forest, wetland, land). These resources are gravely threatened by human-induced climate change and intense anthropogenic activities. In Bangladesh, one of the most climate-vulnerable countries, climate change and human interventions are taking a heavy toll on environmental resources. Ensuring the sustainability of these resources requires regular monitoring and evaluation to identify challenges, concerns, and progress of environmental management. Remote sensing has been used as an effective tool to monitor and evaluate these resources. As such, many studies on Bangladesh used various remote-sensing approaches to conduct research on the issues related to SDG 15, particularly on forest, wetland, erosion, and landslides. However, we lack a comprehensive view of the progress, challenges, concerns, and future outlook of the goal and its targets. In this study, we sought to systematically review the remote-sensing studies related to SDG 15 (targets 15.1–15.3) to present developments, analyze trends and limitations, and provide future directions to ensure sustainability. We developed several search keywords and finally selected 53 articles for review. We discussed the topical and methodological trends of current remote-sensing works. In addition, limitations were identified and future research directions were provided.

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Understanding the Geophysical Sources of Uncertainty for Satellite Interferometric (SRTM)-Based Discharge Estimation in River Deltas: The Case for Bangladesh

Cited by 13 publications

References 28 publications

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle

Spatiotemporal interpolation of discharge across a river network by using synthetic SWOT satellite data

Remote Sensing-Based Research for Monitoring Progress towards SDG 15 in Bangladesh: A Review

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