Geographical Perspectives on Riverbank Erosion, Charlands, and Floodplains

2021 ◽  
pp. 73-87
Author(s):  
Harun Rashid ◽  
Munshi Khaledur Rahman
Keyword(s):  
Riverbank Erosion

scholarly journals THE INFLUENCE OF SUBSURFACE FLOW TO THE RIVERBANK EROSION

2004 ◽  
Vol 48 ◽  
pp. 1093-1098
Author(s):  
Tadashi TSUNEMATSU ◽  
So KAZAMA ◽  
Masaki SAWAMOTO ◽  
Noriaki SENTO
Keyword(s):  
Subsurface Flow ◽  
Riverbank Erosion

scholarly journals Development of a statistical tool for the estimation of riverbank erosion probability

SOIL ◽  
2016 ◽  
Vol 2 (1) ◽  
pp. 1-11 ◽  
Author(s):  
E. A. Varouchakis ◽  
G. V. Giannakis ◽  
M. A. Lilli ◽  
E. Ioannidou ◽  
N. P. Nikolaidis ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Statistical Methodology ◽  
Land Loss ◽  
Statistical Tool ◽  
Physically Based Model ◽  
Stream Management ◽  
Tool Performance ◽  
Riverbank Erosion ◽  
Physically Based ◽  
Local Habitat

Abstract. Riverbank erosion affects river morphology and local habitat, and results in riparian land loss, property and infrastructure damage, and ultimately flood defence weakening. An important issue concerning riverbank erosion is the identification of the vulnerable areas in order to predict river changes and assist stream management/restoration. An approach to predict areas vulnerable to erosion is to quantify the erosion probability by identifying the underlying relations between riverbank erosion and geomorphological or hydrological variables that prevent or stimulate erosion. In the present work, a statistical methodology is proposed to predict the probability of the presence or absence of erosion in a river section. A physically based model determines the locations vulnerable to erosion by quantifying the potential eroded area. The derived results are used to determine validation locations for the evaluation of the statistical tool performance. The statistical tool is based on a series of independent local variables and employs the logistic regression methodology. It is developed in two forms, logistic regression and locally weighted logistic regression, which both deliver useful and accurate results. The second form, though, provides the most accurate results as it validates the presence or absence of erosion at all validation locations. The proposed tool is easy to use and accurate and can be applied to any region and river.

scholarly journals Assessment of the soil loss caused by riverbank erosion in Serbia

2021 ◽  
Vol 101 (1) ◽  
pp. 31-47
Author(s):  
Marko Langovic ◽  
Slavoljub Dragicevic ◽  
Ivan Novkovic ◽  
Nenad Zivkovic ◽  
Radislav Tosic ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Loss ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Land Use Changes ◽  
Arable Land ◽  
Aerial Photographs ◽  
Lateral Migration ◽  
Channel Migration ◽  
Riverbank Erosion

Riverbank erosion and lateral channel migration are important geomorphological processes which cause various landscape, socio-economic, and environmental consequences. Although those processes are present on the territory of Serbia, there is no available data about the soil loss caused by riverbank erosion for the entire country. In this study, the spatial and temporal dynamics of the riverbank erosion for the largest internal rivers in Serbia (Velika Morava, Zapadna Morava, Juzna Morava, Pek, Mlava, Veliki Timok, Kolubara) was assessed using remote sensing and GIS. The aim of this paper is to determine the total and average soil loss over large-scale periods (1923-2020), comparing data from the available sources (aerial photographs, satellite images, and different scale paper maps). Results indicated that lateral migration caused significant problems through land loss (approximately 2,561 ha), especially arable land, and land use changes in river basins, but also economic loss due to the reduction of agricultural production. Total and average soil loss was calculated for five most representative meanders on all studied rivers, and on the basis of the obtained values, certain regularities about further development and dynamics of riverbank movement are presented. A better understanding of river channel migration in this area will be of a great importance for practical issues such as predicting channel migration rates for river engineering and planning purposes, soil and water management and land use changes, environment protection.

Average Quantifying the snowmelt dominant river erosion in Afghanistan between 2004-2020

2021 ◽  
Author(s):  
Abdul Basir Mahmoodzada ◽  
Divyesh Varade ◽  
Sawahiko Shimada ◽  
Hiromu Okazawa ◽  
Chembolu Vinay
Keyword(s):  
River Flow ◽  
Empirical Relationship ◽  
Temporal Analysis ◽  
Reanalysis Data ◽  
Data Availability ◽  
Landsat 8 ◽  
Western Himalayas ◽  
Stream Power ◽  
Riverbank Erosion ◽  
Erosion Area

<p>Flooding of rivers is one of the major causes of soil erosion leading to significant changes in the geomorphological environment. Particularly, in countries such as Afghanistan, where the transboundary are designated according to the Amu River shorelines, are significantly affected by riverbank erosions. Amu River is driven by streamflow from the Pir Pranjal ranges of Afghanistan and Tajikistan. Numerical analysis of the river flow dynamics in such regions is subject to the scarce data availability on ground stations. Thus, ERA5 Reanalysis data provides a significant means for the temporal analysis of the geomorphological changes in such multi-national watersheds.</p><p>In this study, we propose a framework to quantify the Amu riverbank erosion in the Kaldar District of the Balkh Province of Afghanistan. The proposed framework is based on establishing an empirical relationship between the riverbank erosion area based on the discharge intensity and the specific stream power. To determine these two parameters, the river discharge is modeled using the ERA5 Reanalysis hydrological parameters based on multivariate regression. The river width is determined using the Normalized Difference Water Index-based (NDWI) derived from the Landsat-7 and Landsat-8 datasets. The riverbank erosion area is determined using shoreline analysis carried out using these datasets. The shoreline analysis indicates that Afghanistan is losing precious land due to the riverbank erosion over the past two decades (2004-20) amounting to as much as 86 sq. km and on average 5.4 sq. km every year. According to the ERA5 Reanalysis data, the water contribution from snowmelt in the spring and the summer was significantly dominant compared to the precipitation, which is consistent with several other watersheds in the north-western Himalayas. The river width and the discharge are observed to follow a power-law relation with an r<sup>2 </sup>of 0.7. Additionally, the discharge intensity and the specific stream power showed significant relation (r<sup>2 </sup>of 0.84 both) corresponding to the riverbank erosion area, where the peak flood events were observed to be outliers.</p>

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

2021 ◽  
Author(s):  
Nafis Sadik Khan ◽  
Sujit Kumar Roy ◽  
Md. Touhidur Rahman Mazumder ◽  
Swapan Talukdar ◽  
Javed Mallick
Keyword(s):  
Morphological Changes ◽  
Control Strategies ◽  
Satellite Image ◽  
Linear Structure ◽  
Time Frame ◽  
Morphological Alteration ◽  
Confluence Zone ◽  
Riverbank Erosion ◽  
The Ganges

Abstract 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.

A Study on Riverbank Erosion-Accretion and Bar Dynamics of Dharla River Using Multi-temporal Satellite Images

2021 ◽  
pp. 407-417
Author(s):  
S. T. Khan ◽  
S. Alam ◽  
N. Azam ◽  
M. Debnath ◽  
A. K. Mojlish ◽  
...  
Keyword(s):  
Satellite Images ◽  
Riverbank Erosion ◽  
Multi Temporal

scholarly journals Climatic Impacts and Responses of Migratory and Non-Migratory Fishers of the Padma River, Bangladesh

2018 ◽  
Vol 7 (12) ◽  
pp. 254 ◽  
Author(s):  
Makidul Khan ◽  
Goutam Kundu ◽  
Mosammat Akter ◽  
Bishawjit Mallick ◽  
Md. Islam
Keyword(s):  
Conceptual Framework ◽  
Food Consumption ◽  
Policy Implication ◽  
Adaptation Strategies ◽  
Informal Credit ◽  
Qualitative And Quantitative ◽  
Riverbank Erosion ◽  
Climatic Impacts ◽  
Padma River ◽  
Productive Assets

This study empirically assesses the impacts of climatic events on the inland fishers (i.e., migratory and non-migratory) in Bangladesh and explores their responses to those events. Here, the migratory refers to the fishers who change their fishing location seasonally and voluntarily, whereas the non-migratory fishers fish in the same area. It is assumed that there exist differences in both the impacts of an event and the responses to the event between migratory and non-migratory fishers and therefore, a ‘difference triangle’ conceptual framework is developed and tested empirically under this research. Employing mix-method (qualitative and quantitative), a field study was conducted during July–October 2015 from the Padma River depended fishers. Identified climatic events under this study are: storms, changes in rainfall and temperature and riverbank erosion. The migratory and non-migratory fishers were affected quite similarly by storms and changes in rainfall and temperature. However, riverbank erosion affected only non-migratory fishers. Both the migratory and non-migratory fishers adopted different strategies to cope with different climatic events, like, they took shelter in safe places, sold productive assets, reduced food consumption, took credit from informal sources and employed their school-going children. As adaptation strategies, they modernized their fishing boats, intensified fishing, built embankments and diversified livelihoods. Unlike the impacts, considerable differences were found in their coping and adaptation strategies. Comparing to non-migratory fishers, a smaller number of migratory fishers sold their assets, took informal credit and intensified fishing and diversified their livelihoods. The result of this study indicates the significance of differences in the impacts of climatic events for the migratory and non-migratory fishers and therefore, this research has policy implication for the betterment of fishers’ community in general.

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