Stakeholder-driven development of a cloud-based, satellite remote sensing tool to monitor suspended sediment concentrations in major Bangladesh rivers

Beveridge, Claire; Hossain, Faisal; Biswas, Robin Kumar; Haque, AM Aminul; Ahmad, S.; Biswas, Nishan Kumar; Hossain, Amirul; Bhuyan, Arifuzzaman

doi:10.1016/j.envsoft.2020.104843

Cited by 12 publications

(6 citation statements)

References 32 publications

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“…But SSC decreases as distance increases downstream from the dam. In the stage of water impoundment, the sediment accumulated in the reservoir and the SSC decreased significantly in the downstream of the dam, for example, the SSC in the Sekong Basin decreased from 122 to 8 mg/L in 2 years during the impoundment of the dam Xekaman 1 (Beveridge, Hossain, Biswas, et al., 2020). Li et al.…”

Section: Discussionmentioning

confidence: 99%

“…Li et al, 2018). Beveridge, Hossain, Biswas, et al (2020) stated that the extent of dam impacts on river SSC depends on the operation stages of the dam. In the early stage, the dam construction created a large amount of sediment as a result of significant increase in SSC in the downstream reaches near the dam.…”

Section: Impacts Of the Three Gorges Dammentioning

confidence: 99%

“…Previous studies have shown that dam construction and operation have a significant impact on river sediment transport (Best, 2019;Dethier et al, 2022;Latrubesse et al, 2017;D. Li et al, 2018;J.…”

Section: Impacts Of the Three Gorges Dammentioning

confidence: 99%

“…Although these methods are highly accurate, they are costly, time consuming and subject to locality, which hinders dynamic monitoring of the spatial distribution of SSC in rivers (Dehkordi et al., 2021; Gao & O'Leary, 1997; Gray & Gartner, 2009; Wang & Lu, 2010), as well as difficult to characterize the sediment exchange processes between river channels and floodplains (Park & Latrubesse, 2014). Owing to large spatial scale observation and short revisit time, remote sensing techniques become an important supplementary data source for ground‐based measurements (Beveridge, Hossain, Biswas, et al., 2020; Miller & McKee, 2004; Yepez et al., 2018). For instance, time‐series remote sensing data allow quantitative inversion of the temporal‐spatial distribution of SSC (Dethier et al., 2022; Long & Pavelsky, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Google Earth Engine‐Based Estimation of the Spatio‐Temporal Distribution of Suspended Sediment Concentrations in a Multi‐Channel River System of the Yangtze River Basin

Zhao,

Huang,

et al. 2023

Water Resources Research

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Lowland multi‐channel alluvial river systems are highly variable in frequency and magnitude of floodplain inundation and are vulnerable to human activities such as damming. In the Yangtze River Basin, the Three Gorges Dam (TGD) has trapped >80% of upstream sediment supply, causing downstream scouring and rapid geomorphic changes in river and its floodplain lakes. Suspended sediment concentration (SSC) is widely used to monitor river morphodynamics, but traditional measurements of SSC are time consuming, costly and difficult to quantify SSC in a large spatial scale. Using Google Earth Engine and in situ observed hydrological data, we created a multiple linear regression model to map SSC in the multi‐channel system Songzi River of the Yangtze. The new SSC predictive model achieved high accuracy (R2: 0.87) and showed opposite downstream trends in SSC during peak flood years and normal flood years. For the first time, we found that in the peak flood year of 1998 the study rivers exhibit a downstream increase trend of SSC with an abrupt increase in their middle reach, while SSC in normal flood years experiences a downstream decline with minimal changes. A prominent difference in SSC is also revealed after the TGD with a reduction of 60%. Furthermore, SSC in the closely hydrologically connected lakes is more dynamic than the less connected lakes. Our study demonstrates that the proposed method enables to rapidly quantify the spatio‐temporal SSC distribution in the multi‐channel systems on the floodplain of large alluvial rivers and highlights the importance of connectivity in regulating SSC dynamics.

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Section: Discussionmentioning

confidence: 99%

Section: Impacts Of the Three Gorges Dammentioning

confidence: 99%

Section: Impacts Of the Three Gorges Dammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Google Earth Engine‐Based Estimation of the Spatio‐Temporal Distribution of Suspended Sediment Concentrations in a Multi‐Channel River System of the Yangtze River Basin

Zhao,

Huang,

et al. 2023

Water Resources Research

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“…Rivers play an important role; they form an integral part of water management and are a renewable source of fresh water. Due to the introduction of various biological and chemical substances into the environment, the quality of water has been changing [1,2]. Above all, we humans pose a very great threat to this precious resource.…”

Section: Introductionmentioning

confidence: 99%

State Analysis of the Water Quality in Rivers in Consideration of Diffusion Phenomenon

2022

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The waters of rivers are not only used for consumption, industry and agriculture but have also found their way into the transport and energy generation sectors. Many disturbances introduced into the aquatic environment are of the natural variety, which are the result of “admixtures” contained in water, e.g., through contact with soil, and of man-made types, which are directly related to humanities destructive influences. In the presented examinations, the most important processes affecting the spread and transport of these pollutants are taken into account, i.e., advection and diffusion. The authors present observations on the influence of the diffusion phenomenon on river flow modelling processes. Such an approach allows for the separation of the dynamics of water flow and the dynamics of transport of the dissolved substance mass. Specifically, phenomena occurring in relation to spatial coordinates, time and variable parameter values in the proposed mathematical model were analysed. Ultimately, this research will contribute to the correct design and implementation of a complementary diffusion module as an extension to an intelligent water quality control and monitoring system. The Intelligent Analytical Computing Control System architecture under development already includes other modules such as the Intelligent Filtration and Prediction Module and, complemented by the Intelligent Diffusion Module, provides a complementary tool for monitoring river hydromorphology. Implementation of the above solution will help to improve water quality, thus preventing and eliminating the appearance of undesirable pollutants in rivers, and increase the standard of living in the current threatened environmental world.

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Time series analysis of automated surface water extraction and thermal pattern variation over the Betwa river, India

Das

Bhattacharjee

Choubey

et al. 2021

Advances in Space Research

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Stakeholder-driven development of a cloud-based, satellite remote sensing tool to monitor suspended sediment concentrations in major Bangladesh rivers

Cited by 12 publications

References 32 publications

Google Earth Engine‐Based Estimation of the Spatio‐Temporal Distribution of Suspended Sediment Concentrations in a Multi‐Channel River System of the Yangtze River Basin

Google Earth Engine‐Based Estimation of the Spatio‐Temporal Distribution of Suspended Sediment Concentrations in a Multi‐Channel River System of the Yangtze River Basin

State Analysis of the Water Quality in Rivers in Consideration of Diffusion Phenomenon

Time series analysis of automated surface water extraction and thermal pattern variation over the Betwa river, India

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