River channel changes of the Subansiri in Assam, India

Goswami, Uttam; Sarma, J. N.; Patgiri, A. D.

doi:10.1016/s0169-555x(99)00032-x

Cited by 107 publications

(37 citation statements)

References 13 publications

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“…Many large rivers of the world have complex and unstable morphology affected by multiple channel-changing mechanisms including floods, landslides and changes in sediment supply (e.g. Goswami et al, 1999;Ashworth et al, 2000;Sarma, 2005). Globally, significant discharge uncertainty may be the norm rather than the exception.…”

Section: Discussionmentioning

confidence: 99%

Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions

McMillan

Freer

Pappenberger

et al. 2010

Hydrological Processes

231

217

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10.1002/hyp.7587.abs In order to quantify total error affecting hydrological models and predictions, we must explicitly recognize errors in input data, model structure, model parameters and validation data. This paper tackles the last of these: errors in discharge measurements used to calibrate a rainfall-runoff model, caused by stage–discharge rating-curve uncertainty. This uncertainty may be due to several combined sources, including errors in stage and velocity measurements during individual gaugings, assumptions regarding a particular form of stage–discharge relationship, extrapolation of the stage–discharge relationship beyond the maximum gauging, and cross-section change due to vegetation growth and/or bed movement. A methodology is presented to systematically assess and quantify the uncertainty in discharge measurements due to all of these sources. For a given stage measurement, a complete PDF of true discharge is estimated. Consequently, new model calibration techniques can be introduced to explicitly account for the discharge error distribution. The method is demonstrated for a gravel-bed river in New Zealand, where all the above uncertainty sources can be identified, including significant uncertainty in cross-section form due to scour and re-deposition of sediment. Results show that rigorous consideration of uncertainty in flow data results in significant improvement of the model's ability to predict the observed flow. Copyright © 2010 John Wiley & Sons, Ltd

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Section: Discussionmentioning

confidence: 99%

Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions

McMillan

Freer

Pappenberger

et al. 2010

Hydrological Processes

231

217

View full text Add to dashboard Cite

show abstract

“…Changes of Dee River, including course shift, lateral shift of the channel midpoint, changes in channel width, changes in the pattern of sediment deposition, changes in bank vegetation, changes in sinuosity and so on, were directly visualized and analyzed based on antique maps and aerial photographs 1997;Leys and Werritty, 1999). Goswami et al (1999), Sarama et al (2007, and Das et al (2007) studied the changes of Subansiri, Brahmaputra in Assam India and Barak River, in N.E. India, respectively.…”

Section: Introductionmentioning

confidence: 99%

The geo-pattern of course shifts of the Lower Yellow River

Wang

2011

J. Geogr. Sci.

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The changing pattern of the Lower Yellow River (LYR) obtained from the traditional studies, which mainly did literal analysis based on historical documents related to the LYR are too macroscopic and absent of intuitiveness. This paper integrates all the records in historical documents related to course shift, flood and overflow of the last 3000 years and stores them in a GIS database. Then, all the data will be visualized in the form of map, which is helpful to show and understand the rules those events conform more intuitively and accurately. Taking these data as foundation, this study summarizes characteristics of the LYR's courses and influence scope, and classifies them both into three types; divides the flow directions of the LYR's courses into two periods, and proposes its changing pattern; concludes the characteristic of diversion points of courses shift events; calculates the velocity of courses shifts, gradient and sinuosity, and analyzes their changing patterns. Finally, this study classifies factors that may influence the occurrence of a course shift into two types: the internal factors, such as sediment rate, gradient and sinuosity of the river, and the external factors, such as precipitation and human activities.

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“…The Subansiri river is characterised by heavy flow during flood season, enormous volume of sediment load, continuous change in channel morphology, bankline migration and lateral changes in channels which further causes severe bank erosion leading to a considerable loss of good fertile land every year [4]. The great earthquake that hit Assam in 1950 disturbed the balance between sediment supply and transportation of Subansiri river and this additional sediment resulted in mid-channel bar formation, bank erosion and widening [5]. The average suspended sediment load of Subansiri and Jia Bharali are reported as 1776 and 2013 ha m, respectively [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Case Study on Performance of Jia Bharali River Bank Protection Measure Using Geotextile Bags

Das

2016

Int. J. of Geosynth. and Ground Eng.

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River bank erosion is one of the major natural disasters being faced by the state of Assam, located in the North-eastern part of India. With the increasing popularity of geotextile materials in construction industry several pilot projects to control bank erosion of major rivers of Assam have recently been executed with the application of geotextile bags, geotextile tubes. But very little scientific study on the post-construction performance of these works is available. In this paper the findings of a study on the post construction performance of one of these recently completed bank protection works is presented. In order to ascertain the erodibility of the bank soil characterisation of geotechnical properties of the bank soil is carried out. The bore log obtained by adopting a simplified method of boring suitable for this investigation is presented along with detailed laboratory test results and analysis. The change in river flow pattern near the bank after installation of the bank protection work and the resultant siltation is studied in this work. In order to predict progressive development of sand bar due to the induced siltation during the first 1 year after installation of the protection work the siltation area is surveyed and the contours are prepared. The resultant flow pattern is reasonably determined from the siltation area contours. Satellite images of the study area for a period of 3 years after installation of the protection work are analysed and presented before arriving at a final conclusion on the performance of the protection measure.

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River channel changes of the Subansiri in Assam, India

Cited by 107 publications

References 13 publications

Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions

Impacts of uncertain river flow data on rainfall‐runoff model calibration and discharge predictions

The geo-pattern of course shifts of the Lower Yellow River

A Case Study on Performance of Jia Bharali River Bank Protection Measure Using Geotextile Bags

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