Assessment of planform changes of the Ganga River from Bhagalpur to Farakka during 1973 to 2019 using Satellite Imagery

Raj, Chandan; Singh, Vivekanand

doi:10.1080/09715010.2020.1812123

Cited by 20 publications

(3 citation statements)

References 56 publications

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“…Changes in land use have influenced hydrology and sediment transport, which have a considerable impact on soil erosion (Brierley & Fryirs 2005;Wang et al 2012;Mahapatra et al 2014;Hegazy & Kaloop 2015;Hazarika et al 2015). Hydrology, climate, Land use, and human involvement affect riverbank erosion and deposition (Arohunsoro et al 2014;Barman 2016;Barasa & Pereram 2018Raj & Singh 2020).…”

Section: Land Use Mapping Between 1990 and 2020 And Their Change Dete...mentioning

confidence: 99%

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Nath

Ghosh

2022

Water Practice and Technology

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River morphology describes a river's cross-sectional shape, sedimentation, and erosion. The meandering parameters, oxbow formation and decadal Land usage Land Cover fluctuations of Barak River were investigated using 21 meandering spans to measure river morphological changes. The decadal meandering parameters were calculated reach-wise and section-wise to characterize river morphological changes. It was observed from the paired t-test that the river width significantly changed during the study period (1990–2020). Strong inter-relationships between the meandering parameters are shown from the regression analysis. The morphological investigation found a reduction in the centerline distance due to variations in the radius of curvature caused by the internal arc's reduction. As a result, the average sinuosity has decreased over time. The current work used SVM and ML techniques for LULC classification, and a comparison of ML and SVM techniques was also done. The SVM technique performs better. The decadal LULC analysis suggests that between 1990 and 2020, the areas of water bodies, forests, and bare land types declined. Whereas, agricultural and settlement areas increased. River morphology is substantially impacted by agriculture and urbanization, particularly in areas where oxbows occur simultaneously, since this work may apply to other similar meandering river management along the alluvial flood plain.

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Section: Land Use Mapping Between 1990 and 2020 And Their Change Dete...mentioning

confidence: 99%

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Nath

Ghosh

2022

Water Practice and Technology

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“…The severity of bank erosion also changes with time here. After 2006, the eastern ow lost its previous ow energy and the main ow started through the central channel (Pal & Pani, 2019;Raj & Singh, 2020). It certainly reduces the high bank erosion at the entire Kaliachak-II and III Blocks (B.…”

Section: Introductionmentioning

confidence: 99%

Predicting vulnerable sites and causative factors of bank erosion in river Ganga (Malda, India) using remote sensing and statistical modeling approach

Ghosh

Saha

2022

Preprint

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This study aims to evaluate the causative factors for high bank erosion probability along the left bank of Ganga river in Malda district using binary logistic regression model. The bank erosion at the outer bend of Ganga in Manikchak and Kaliachak-II blocks during the recession of flood water in Ganga poses serious threats to the inhabitants of Diara since the construction of the Farakka barrage. The constriction slowly started a problem of water pilling at the up-stream of the barrage and extended up to the Bhutni Island (40 km up stream). The seepage mechanism allows the entry of rising flood water to the banks and again released when water level recedes gradually and causes bank slumping. In last monsoon (2020), Gopalpur, Jotbhabani Dharampur gram panchayets of Manikchak block are heavily affected by bank erosion. Total nine causative factors are selected as predictor variables in binary logistic regression model categorized broadly as vegetation, water and moisture indices, proximity based on river channel and settlement, soil characteristics and landuse-cover classes. The omnibus test of model coefficient gives the likelihood ratio (224.433) for the overall model fitting (p value 0.0). The model predicts correctly 254 sites as low bank erosion (LBE) and 111 sites as High bank erosion (HBE) category with 84.4% and 67.3% accuracy. The soil bearing capacity significantly expresses highest odds (87.6%) of telling the high probability of bank erosion. The model produces accuracy up to 87.4%.

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“…After examining the Ganga River's erosion-deposition data, it was discovered that during the assessment period, roughly 57 km 2 of land was lost on the right bank and 59 km 2 was deposited on the left bank (Dewan et al, 2017). conducted on the upstream and downstream portions of the Farakka barrage on the Ganga River (Rudra, 2014;Agnihotri et al, 2020;Anand et al, 2018;Sinha and Ghosh, 2012;Raj and Singh, 2020). However, there have been no contemporary studies on the morphological alterations of the Ganga-Jamuna River, taking into account both the Ganga river downstream of the Farakka barrier and the Jamuna river con uence.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Long-Term Planform Dynamics of Ganges-Jamuna Confluence With the Aid of Remote Sensing and GIS

Khan

Roy

Mazumder

et al. 2021

Preprint

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The Ganges-Jamuna-Padma confluence is one of the world's most active confluences. The confluence of two of the world's greatest rivers, the Ganges and the Brahmaputra, makes this a globally significant site. Severe erosion along the banks has been caused by morphological changes in this region. Riverbank erosion is one of Bangladesh's most serious problems, as it necessitates costly intervention. Riverbank erosion in Bangladesh affects millions of people each year as a result of erosion in this confluence zone. As a result, it's critical to comprehend the confluence's morphological changing pattern. This study aims to quantify actual bank shifting around the confluence of the Ganges, Jamuna, and Padma in terms of shifting rate and area during a twenty-five-year period (1990-2015). To conduct this study the collected satellite image were geo-referenced and digitize bank lines from using ArcGIS program. The bank line is the linear structure that divides the river channel's outer border from the flood plains. The distance between the extreme margins of the left and right banks, including mid-channel sandbars, was measured to determine channel width variation. To assess the maturity of change, this time frame is subdivided into five phases, each lasting five years. In addition, the long-term shift from 1972 to 2015 is qualitatively noticeable. This morphological alteration was studied using LANDSAT satellite images. The research gives current and trustworthy information on the Ganga-Jamuna confluence's planform dynamics. This research will be useful in the planning and execution of drainage development plans and erosion control strategies in this critical confluence zone.

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Assessment of planform changes of the Ganga River from Bhagalpur to Farakka during 1973 to 2019 using Satellite Imagery

Cited by 20 publications

References 56 publications

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Assessment of river morphology based on changes in land use and land cover and the spatial and temporal variation of meandering parameters of the barak river

Predicting vulnerable sites and causative factors of bank erosion in river Ganga (Malda, India) using remote sensing and statistical modeling approach

Assessing the Long-Term Planform Dynamics of Ganges-Jamuna Confluence With the Aid of Remote Sensing and GIS

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