TITLE:
Quantifying River Bank Erosion and Accretion Patterns along the Gorai River in Kushtia, Bangladesh: A Geospatial Analysis Utilizing GIS and Remote Sensing Techniques
AUTHORS:
Chisti Muzahid, Samsunnahar Popy, Rifat Islam, Md. Shafiqul Ahsan Emon, Md. Selim Reja, Md. Mustafizur Rahman, Jubayer Hoque, Md. Golam Rabbani, Saim Raiyan
KEYWORDS:
Erosion and Accretion, Geographic Information System (GIS), Remote Sensing, Satellite Image, Bankline Shifting
JOURNAL NAME:
Journal of Geographic Information System,
Vol.16 No.1,
February
27,
2024
ABSTRACT: River bank erosion is a natural process that occurs when the water flow
of a river exceeds the bank’s ability to withstand it. It is a common
phenomenon that causes extensive land damage, displacement of people, loss of
crops, and infrastructure damage. The Gorai River, situated on the right bank
of the Ganges, is a significant branch of the river that flows into the Bay of
Bengal via the Mathumati and Baleswar rivers. The erosion of the banks of the Gorai
River in Kushtia district is not a recent occurrence. Local residents have been
dealing with this issue for the past hundred years, and according to the
elderly members of the community, the erosion has become more severe
activities. Therefore, the main objective of this research is to quantify river
bank erosion and accretion and bankline shifting from 2003 to 2022 using
multi-temporal Landsat images data with GIS and remote sensing technique.
Bank-line migration occurs as a result of the interplay and interconnectedness
of various factors such as the degree of river-related processes such as
erosion, transportation, and deposition, the amount of water in the river
during the high season, the geological and soil makeup, and human intervention
in the river. The results show that the highest eroded area was 4.6 square
kilometers during the period of 2016 to 2019, while the highest accreted area
was 7.12 square kilometers during the period of 2013 to 2016. However, the
erosion and accretion values fluctuated from year to year.