Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)

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Modelling of Flood Risk in the Feni-Muhuri-Selonia Riverbasin

Authors
Aysha Akter1, *, Rashedul Hoq Jihad2, Ferdous Afridi2
1Department of Civil Engineering, Chittagong University of Engineering & Technology (CUET), Chittagong, 4349, Bangladesh
2Department of Water Resources Engineering, Chittagong University of Engineering & Technology (CUET), Chittagong, 4349, Bangladesh
*Corresponding author. Email: aysha_akter@cuet.ac.bd
Corresponding Author
Aysha Akter
Available Online 15 December 2025.
DOI
10.2991/978-94-6463-920-9_7How to use a DOI?
Keywords
Flash flood; HEC-RAS; AHP
Abstract

This study focuses on flood risk assessment in the Feni-Muhuri-Selonia River basin using 2D hydrodynamic modeling to support improved flood preparedness, mitigation, and decision-making. HEC-RAS 2D v6.6 was used to simulate flood behavior across the study area, with RAS Mapper applied for inundation mapping and ArcMap 10.8 utilized for processing river bathymetry, topographic inputs, and land surface characteristics. The model was calibrated and validated using the observed discharge and water level data to achieve coefficients of determination (R2) of 0.89 and 0.87 respectively. To generate the flood risk map, thematic layers—including depth, velocity (from HEC-RAS), and geo-environmental factors such as Land Use Land Cover (LULC), Topographic Wetness Index (TWI), NDVI, NDWI, Elevation, and Slope—were integrated using a GIS-based Analytical Hierarchy Process (AHP). This multi-criteria analysis classified the region into five risk zones, with parts of Chhagalnaiya, Feni Sadar, Sonagazi, and Mirsarai falling under the Very High-Risk category. Thus, with better resolution dataset this study can provide relevant information to the decision support system (DSS).

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)
Series
Advances in Engineering Research
Publication Date
15 December 2025
ISBN
978-94-6463-920-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-920-9_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aysha Akter
AU  - Rashedul Hoq Jihad
AU  - Ferdous Afridi
PY  - 2025
DA  - 2025/12/15
TI  - Modelling of Flood Risk in the Feni-Muhuri-Selonia Riverbasin
BT  - Proceedings of the International Conference on Recent Innovations in Sustainable Engineering Solutions 2025 (ICONRISES 2025)
PB  - Atlantis Press
SP  - 54
EP  - 66
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-920-9_7
DO  - 10.2991/978-94-6463-920-9_7
ID  - Akter2025
ER  -