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Quantification of Amu River Riverbank Erosion in Balkh Province of Afghanistan during 2004–2020.

Authors :
Mahmoodzada, Abdul Basir
Varade, Divyesh
Shimada, Sawahiko
Okazawa, Hiromu
Aryan, Shafiqullah
Gulab, Gulbuddin
Mustafa, Abd El-Zaher M. A.
Rizwana, Humaira
Ahlawat, Yogesh K.
Elansary, Hosam O.
Source :
Land (2012); Oct2023, Vol. 12 Issue 10, p1890, 15p
Publication Year :
2023

Abstract

In this study, we propose quantifying the Amu River riverbank erosion with the modelled river discharge in Kaldar District, Balkh Province of Afghanistan from 2004 to 2020. We propose a framework synergizing multi-source information for modelling the erosion area based on three components: (1) river discharge, (2) river width, and (3) erosion area. The total river discharge for the watershed shared by Afghanistan and Tajikistan was modelled using hydrological parameters from the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) data through multivariate linear regression with ground station data. The river width was determined manually using the Normalized Difference Water Index (NDWI) derived from Landsat data. The riverbank erosion area was derived from the digital shoreline analysis using the NDWI. The digital shoreline analysis showed that, between 2008 and 2020, the average riverbank erosion area in Kaldar District is about 5.4 km<superscript>2</superscript> per year, and, overall, 86.3 km<superscript>2</superscript> during 2004–2020 due to flood events. The significantly higher land loss events occurred at 10 km<superscript>2</superscript> bank erosion during the years 2008–2009 and 2015–2016, and 19 km<superscript>2</superscript> peak erosion occurred during 2011–2012. A linear relation between the erosion area with respect to the discharge intensity and the specific stream power was observed with an R<superscript>2</superscript> of 0.84 and RMSE of 1.761 for both. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2073445X
Volume :
12
Issue :
10
Database :
Complementary Index
Journal :
Land (2012)
Publication Type :
Academic Journal
Accession number :
173314595
Full Text :
https://doi.org/10.3390/land12101890