Literature DB >> 17562210

Factors influencing the sinuosity of Pannagon River, Kottayam, Kerala, India: an assessment using remote sensing and GIS.

M V Aswathy1, H Vijith, R Satheesh.   

Abstract

The present study was carried out to identify the factors influencing the sinuosity of the Pannagon river, using the IRS P6 LISS III data and Geographical Information System (GIS) on 1:50,000 scale. The river follows meandering course and exhibits a narrow, highly sinuous and incised channel. Several lines of evidence including satellite and topographic data, geological maps and field investigations and the generated themes on lithology, structure, geomorphology, slope, riparian vegetation and hydrology have analyzed to understand the controls on the channel morphology of the Pannagon river. The average of sinuosity index of the selected reaches in the river on 1967 was 1.6 and of 2004 was 1.8. The sinuous patches are more in the lower reaches of the river and most of the area comes under floodplain with thick column of alluvial deposits. The analysis shown that the style and degree of sinuosity of the Pannagon river depends on a number of geological factors, including tectonics and the riparian vegetation also plays a major role.

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Year:  2007        PMID: 17562210     DOI: 10.1007/s10661-007-9755-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Alluvial-river response to neotectonic deformation in louisiana and Mississippi.

Authors:  A W Burnett; S A Schumm
Journal:  Science       Date:  1983-10-07       Impact factor: 47.728

  1 in total
  3 in total

1.  Multilevel analysis of a riverscape under rapid urbanization in the Yangtze delta plain, China: 1965-2006.

Authors:  Huifeng Zhu; Xiangyu Ren; Yan Jin; Kai Yang; Yue Che
Journal:  Environ Monit Assess       Date:  2015-10-28       Impact factor: 2.513

2.  Characterization and prediction of meandering channel migration in the GIS environment: a case study of the Sabine River in the USA.

Authors:  Joon Heo; Trinh Anh Duc; Hyung-Sik Cho; Sung-Uk Choi
Journal:  Environ Monit Assess       Date:  2008-05-29       Impact factor: 2.513

3.  Which environmental factors control extreme thermal events in rivers? A multi-scale approach (Wallonia, Belgium).

Authors:  Blandine Georges; Adrien Michez; Hervé Piegay; Leo Huylenbroeck; Philippe Lejeune; Yves Brostaux
Journal:  PeerJ       Date:  2021-11-22       Impact factor: 2.984

  3 in total

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