scholarly journals Evaluation of Sinuosity Index of Dhansiri (South) River Channel and Bank Erosion, Assam in GIS

IARJSET ◽  
2015 ◽  
Vol 2 (5) ◽  
pp. 111-114 ◽  
Author(s):  
Plabita Barman ◽  
Dulal C.Goswami
Keyword(s):  
Bank Erosion ◽  
River Channel ◽  
Sinuosity Index

scholarly journals STUDY OF RIVER CHANNEL MIGRATION AND IDENTIFICATION OF POTENTIAL SUGARCANE CULTIVATION AREA IN THE MOHANA-MACHELI WATERSHED USING REMOTE SENSING

2019 ◽  
Vol IV-2/W5 ◽  
pp. 223-229
Author(s):  
D. Neupane ◽  
P. Gyawali ◽  
D. Tamang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Change Detection ◽  
Detection Method ◽  
Bank Erosion ◽  
Flood Plain ◽  
River Channel ◽  
Channel Migration ◽  
River Bank ◽  
Flood Effects

<p><strong>Abstract.</strong> Channel migration becomes the main characteristic of major rivers of Mohana-Macheli watershed of western Nepal. Study of river channel migration of major rivers of watershed using freely available remote sensing show that the channel has shifted to as high as 1000 meters from the original river path over the span of 9 years (2009–2017). The channel migration directly affects the land use and it has direct effect on the flood plain settlements of the study area. Cultivation of sugarcane in sand area is one of the mitigating measures of flood effects and prevent river bank erosion. The study shows that the area of sand is changing disproportionately in the region. This paper presents an enhanced change detection method of river channel migration using remotely sensed images and identification of sand area using classification and interpretation technique.</p>

Development of a processing chain of multispectral Sentinel–2 data to extract meandering river courses for geomorphometric analysis in Central Amazonia Region

2020 ◽  
Author(s):  
Noémi Kósa ◽  
Balázs Székely
Keyword(s):  
River Channel ◽  
Tectonic Activity ◽  
Normal Faults ◽  
Sinuosity Index ◽  
Meandering River ◽  
Data Processing Method ◽  
High Resolution Satellite Images ◽  
Central Amazonia ◽  
Water Courses ◽  
Channel Patterns

&lt;p&gt;Freely-meandering rivers are sensitive indicators of neotectonic activity that is otherwise difficult to detect in low-relief areas. In this study sinuosity analysis has been carried out on 20 main rivers and tributaries of Central Amazonia Region as an aid for localization of river channel patterns influenced by on-going tectonic activity.&lt;/p&gt;&lt;p&gt;The main problem of such studies, however, the availability of accurate river channel data. For the Central Amazonia Region highly accurate dataset that has a good geographical coverage is hardly available: the datasets we found did not fulfill the accuracy criteria for our project.&lt;/p&gt;&lt;p&gt;Consequently, the first objective of this project was to develop a data processing method of high resolution satellite images which provides a quick and accurate way to digitize river sections of a large parts of the intracratonic sedimentary basin. Furthermore, this work aims to detect channel sinuosity changes that could indicate recent vertical crustal movements. To achieve this, the water courses were automatically digitized using Sentinel&amp;#8211;2 data and classic sinuosity values were calculated using several window sizes. The distribution of sinuosity variations was analysed by classification and various representations of the calculated values like mapping, crossplots and sinuosity-spectrum.&lt;/p&gt;&lt;p&gt;As the visualization methods complement each other the variations in sinuosity values can be highlighted and verified in several aspects. The results compared to former neotectonic studies some significant sinuosity changes can be correlated to known faults. The mentioned sinuosity variations coincides with the location of NW&amp;#8211;SE normal and thrust faults active since Pleistocene times and NE&amp;#8211;SW Miocene normal faults supporting the idea that these structures may have been reactivated.&lt;/p&gt;&lt;p&gt;In conclusion, multi-window sinuosity index calculation applied to satellite data based digitized water courses is a useful tool for recognizing recent tectonic activity in large low-relief areas, such as Central Amazonia.&lt;/p&gt;

scholarly journals Linkages Between Sinuosity Index and Flood Sustainability: A Study of Morna River (Maharashtra), India

2021 ◽  
Vol 16 (2) ◽  
pp. 649-661
Author(s):  
Nilesh K. Susware ◽  
Jagdish B. Sapkale ◽  
Vinaya N. Susware ◽  
Shubham K. Gavhane
Keyword(s):  
Agricultural Land ◽  
Morphological Changes ◽  
Water Discharge ◽  
Research Work ◽  
Flood Management ◽  
River Channel ◽  
Flood Events ◽  
Sinuosity Index ◽  
Channel Changes ◽  
Stability And Instability

The morphological changes in the river channel over periods that occur due to the flood events, affected the sinuosity index of the river channel. The river characteristic like sinuosity also determines the intensity of flood in a channel. Recent flood losses have increased as a result of variability in rainfall; simultaneously such problems are coming up with sustainable development. The attempted research study has been carried out to evaluate and understand the river channel changes and bank stability of the Morna river in Maharashtra. The research work also identified the pattern/planform of the river. Morna river meets Warna river near the Mangle village. Most of the streams in the upper basin area are non-perennial. The occurrence of floods takes place due to seasonal rainfall. An index of Sinuosity was used to analyze variation in river courses, as well as identify stability and instability. Therefore, this may facilitate predicting probable riverbank erosion sites and also support sustainable flood management planning for these sites during forthcoming flood events. The sinuosity index of the Morna river ranges from 1.09 to 1.44. The sinuosity indexes for the Morna river and tributaries of its sub-basins/watersheds have been calculated using geospatial techniques. The disparities in sinuosity indexes of the Morna basin and sub-watersheds having a good correlation with slope of the river , fluvial processes, water discharge and hydraulic aspects of the river channel. Seasonal potential flood risk for the agricultural land may be found at the confluence of the Warna river and its tributary Morna river when it receives heavy rainfall in upstream.

scholarly journals Transformation of different reaches of the Niida River (Japan) after extreme flood

2017 ◽  
Vol 19 (1) ◽  
pp. 75-87
Author(s):  
GOLOSOV Valentin ◽  
BOTAVIN Dmitry ◽  
KONOPLEV Alexei ◽  
WAKIYAMA Yoshifumi
Keyword(s):  
Satellite Images ◽  
Bank Erosion ◽  
River Channel ◽  
Lower Reach ◽  
High Resolution Satellite Images ◽  
Extreme Flood ◽  
Active Processes ◽  
Total Sedimentation ◽  
River Bottom ◽  
Floodplain Sedimentation

Extreme floods can have different effects on the river bottom relief depending on several factors. The geomorphological impact of the extreme flood occurring in the Niida River basin (Fukushima prefecture, Honshu inland, Japan) on the channels and river bottom of different reaches of the river is analyzed. High-resolution satellite images and field assessments were used for quantitative evaluation of river bottom transformation which mainly occurred in the lower reach of the Niida river. The lower reach of the Niida River was divided on three subzones according the channel gradient changes. Each sub-zones is correspond with the dominance of a certain type of channel (straight, meandering and wandering). It was found that bank erosion exceeded in- channel deposition in 1,7-2,7 times for all types of river channel in the low reach located within the coastal floodplain. However, floodplain sedimentation is the most active processes for the river sections with meandering and wandering types of the river channel. Floodplain sedimentation exceed bank-erosion in 2.2 times for river sections with the meandering type of channel and in 2.9 time for the river sections with wandering type of channel. It was found that bank erosion exceeded in- channel deposition in 1,7-2,7 times for all types of river channel in the low reach located within the coastal floodplain. However, floodplain sedimentation is the most active processes for the river sections with meandering and wandering types of the river channel. Floodplain sedimentation exceed bankerosion in 2.2 times for river sections with the meandering type of channel and in 2.9 time for the river sections with wandering type of channel. The bank erosion exceeds floodplain deposition in 1,2 times only within the river sections with straight type of channel. Total sedimentation (in-channel + floodplain) in 2.6 times higher than bank erosion in the lower reach of the Niida River after extreme flood event with probability 4-5%.

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