Assessment of bank erosion and its impact on land use and land cover dynamics of Mahananda River basin (Upper) in the Sub-Himalayan North Bengal, India

Chakraborty, Kunal; Saha, Swati

doi:10.1007/s42452-021-04904-x

Cited by 15 publications

(3 citation statements)

References 35 publications

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“…The recurring floods and embankment breaches along the Brahmaputra River stem from its high morphological activity, driven by substantial upstream discharges and sediment loads during the monsoon season (Pareta, 2022). The composition of the riverbanks and adjacent agricultural land further exacerbates the issue, as these materials become more susceptible to erosion and bank collapse in the wet season, leading to the seasonal erosion of floodplains, agricultural land, and settlements (Chakraborty & Saha, 2022). Given the prevalent poverty in Assam, the loss of crucial agricultural land and property intensifies economic hardship (Das et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Two‐dimensional morphological model for prediction of erosion of a reach of Brahmaputra River using MIKE 21C software with hydrodynamics and river morphology modules

Pareta

2023

River

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Understanding the morphological dynamics in highly braided rivers, like the Brahmaputra, is crucial for effective river management. To gain this understanding, data is essential for mathematical modeling, enabling short and medium‐term predictions of morphological changes. Our study focused on the Palasbari‐Gumi stretch of the Brahmaputra River, utilizing a two‐dimensional morphological model (MIKE‐21C). Our objectives were to predict erosion patterns, plan protective measures, and anticipate morphological changes. Author conducted multiple models runs under various hydrological scenarios. For coarse sand, the model projected an annual sediment load of 257 Mt/year in 2021, with a bankfull discharge of 314 Mt/year. Historical records noted 400 Mt/year sediment load in the Brahmaputra. Importantly, our model's predictions closely matched empirical data, especially regarding ADCP velocities, design flood levels, and annual sediment load. Peak model velocities deviated by less than 9% from ADCP measurements, predominantly within acceptable limits. Predicted flood levels for bankfull discharge conditions achieved nearly 96% accuracy at the Gumi site. This study highlights the role of predictive modeling in guiding river training measures, especially in dynamic braided river systems like the Brahmaputra, over a two‐3 year horizon.

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Section: Introductionmentioning

confidence: 99%

Two‐dimensional morphological model for prediction of erosion of a reach of Brahmaputra River using MIKE 21C software with hydrodynamics and river morphology modules

Pareta

2023

River

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“…Over two million people in Bangladesh lost their homes between 1970 and 2000 due to bank erosion in the Padma and Jamuna rivers (Islam & Rashid 2011). The Himalayan foothill region's society benefits from an integrated investigation of erosion, its causes, and a calculated move toward modifying mitigation procedures in fluvial dynamicity (Prokop et al 2020), and bank erosion would have an impact on the River Mahananda in Sub-Himalayan North Bengal (Chakraborty & Saha 2022). Space Application Centre (SAC), Ahmedabad, India, and the Brahmaputra Board, India (1996) studied river erosion on Majuli Island to identify and delineate island portions that had changed along the bank line due to the river's dynamic behavior.…”

Section: Introductionmentioning

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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“…Changes in land use of Kashmir watersheds from unirrigated system (forests, barren land) to irrigated system, which consists of a variety of agricultural and horticultural activities, are extremely prevalent due to improved crop production and economic gain. Many studies of LULC in the Indian Himalayas have been conducted (Ritse et al 2020;Singh & Pandey 2021;Chakraborty & Saha 2022), but hardly any attempts have been made to study the changes in the available land resources of the study watersheds.…”

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confidence: 99%

Assessing land use/land cover change detection of north-eastern watersheds of Kashmir valley using GIS and remote sensing techniques

Gull

Shah

Dar

2022

Water Practice and Technology

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Land use changes in the Kashmir Himalayas must be mapped and monitored for long-term development and efficient planning. This work uses geospatial technologies like Remote Sensing and Geographic Information System to track changes in Land cover trends in four main watersheds in the Kashmir Valley's north-eastern Himalayas from 2003 to 2013. Land cover maps were created using images from the Landsat-5 Thematic Mapper. The watershed's Land use/Land cover maps were created using supervised classification utilizing the Maximum Likelihood Classifier (MLC). Over the previous decade, the land use/land cover in the study watersheds has undergone a series of intricate changes as a result of deforestation, climate change, and agroforestry growth. A total of eleven major LULC classifications were discovered, indicating that forests are the most common land use in all four watersheds. Forest cover, river beds, water bodies, non-perennial snow, and glaciers have all decreased significantly, whereas Scrubland, horticulture, rock mass, built-up, barren land, and agriculture have all increased significantly, except for Sindh watershed, where Scrubland class has decreased by 5.97% from 2003 to 2013. The study's methodology and conclusions point to crucial policy implications for long-term LULC management in the Kashmir Himalayas' Madhumati, Arin, Sindh, and Lidder watersheds.

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Assessment of bank erosion and its impact on land use and land cover dynamics of Mahananda River basin (Upper) in the Sub-Himalayan North Bengal, India

Cited by 15 publications

References 35 publications

Two‐dimensional morphological model for prediction of erosion of a reach of Brahmaputra River using MIKE 21C software with hydrodynamics and river morphology modules

Two‐dimensional morphological model for prediction of erosion of a reach of Brahmaputra River using MIKE 21C software with hydrodynamics and river morphology modules

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

Assessing land use/land cover change detection of north-eastern watersheds of Kashmir valley using GIS and remote sensing techniques

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