Evidence map›Paper›PMID 35857750›Full record

ArticlePloS one2022

Integrated remote sensing and field-based approach to assess the temporal evolution and future projection of meanders: A case study on River Manu in North-Eastern India.

Jatan Debnath, Gowhar Meraj, Nibedita Das Pan, Kesar Chand, Sagar Debbarma, Dhrubajyoti Sahariah, Carlo Gualtieri, Shruti Kanga, Suraj Kumar Singh, Majid Farooq and 2 more

Abstract read
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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Jatan DebnathDepartment of Geography, Gauhati University, Guwahati, Assam, India.
Gowhar MerajDepartment of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India.ORCID 0000-0003-2913-9199
Nibedita Das PanDepartment of Geography & Disaster Management, Tripura University, Suryamaninagar, Tripura, India.
Kesar ChandG.B Pant National Institute of Himalayan Environment, Himachal Regional Centre, Mohal-Kullu, Himachal Pradesh, India.
Sagar DebbarmaDepartment of Geography & Disaster Management, Tripura University, Suryamaninagar, Tripura, India.
Dhrubajyoti SahariahDepartment of Geography, Gauhati University, Guwahati, Assam, India.
Carlo GualtieriDepartment of Structures for Engineering and Architecture, University of Naples Federico, Naples, Italy.
Shruti KangaCentre for Climate Change & Water Research, Suresh Gyan Vihar University, Jaipur, Rajasthan, India.
Suraj Kumar SinghCentre for Sustainable Development, Suresh Gyan Vihar University, Jaipur, Rajasthan, India.
Majid FarooqDepartment of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir, Kashmir, India.ORCID 0000-0002-7813-3474
Netrananda SahuDepartment of Geography, Delhi School of Economics, University of Delhi, Delhi, India.
Pankaj KumarInstitute for Global Environmental Strategies, Hayama, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common phenomenon associated with alluvial rivers is their meander evolution, eventually forming cutoffs. Point bar deposits and ox-bow lakes are the products of lateral bend migration and meander cutoff. The present study focuses on identifying the meanders of River Manu and their cutoffs. Moreover, this study compares the temporal evolution and predicts the progress of selected meanders of River Manu. In the present research, the Survey of India topographical map, satellite imagery, and geographic information system (GIS) technique were used to examine the evolution of the Manu River meander. Subsequently, a field visit was done to the selected cutoffs and meanders of River Manu to ascertain the present status and collect data. It has been observed that many cutoffs have undergone temporal changes, and their sizes have decreased. Some have become dried or converted to agricultural fields. The width of River Manu has decreased in all the selected bends from 1932 to 2017. The sinuosity index has changed from 2.04 (1932) to 1.90 (2017), and the length of the river has decreased by 7 km in 85 years (1932-2017). The decrease in length is evident from lowering the number of meanders. Uniformity coefficient and coefficient of curvature of the bank soil samples were calculated, indicating that the soil is poorly graded and falls under the cohesionless category. Based on cross-section analysis, sediment discharge, grain-size analysis of the bank material, channel planform change, and radius of curvature, it can be stated that almost all the selected bends have the probability of future cutoff. The highest probabilities were observed in bend 3 (Jalai) and bend 4 (Chhontail). This work is aimed to provide planners with decisions regarding the construction of roads and bridges in areas that show the huge dynamicity of river meandering.

Indexed as

Remote Sensing TechnologyRiversGeographic Information SystemsIndiaSoilSoil

Identifiers

PMID35857750
PMCPMC9299336

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.