Author:
Diarra Hakiri,Agravante Gerard Jaque Bulan,Pretorius Elizabeth,Widyadharma Hadikusu Giancarlo Mahen
Abstract
Background: The Ganges-Brahmaputra-Meghna (GBM) delta – the world’s most populous river delta – faces heightened susceptibility to the rise in flooding disasters due to climate change, impacting millions annually. Current flood management strategies are unsustainable and ineffective, and resilient flood management is needed. A promising alternative is the strategic implementation of green infrastructure (GI) applications, which have proven effective in flood management in other regions.
Methods: An analysis of the region’s past and future vulnerability to flooding is conducted. Then, green infrastructure performance metrics from regions with similar climatic conditions are extrapolated for the GBM. Green roofs, permeable pavements, and rain gardens were identified as the most suitable GI types for the GBM. Finally, computer simulations were employed to analyze the performance of different implementations of GI within a model city.
Results: The simulations showed that 0% green rooftop coverage, 100% permeable pavement coverage, and 40% rain garden coverage were the most feasible GI layout. This configuration resulted in the most preferable balance between cost effectiveness and reduced runoff. Green rooftops were minimized due to high installation costs relative to their retention capacity, whereas permeable pavements and rain garden coverage were maximized.
Conclusions: The studies show GI’s potential for flood mitigation and resilience in the GBM region. GI initiatives align with the region's flood mitigation policies and are thus feasible to implement with aid from government incentives. Furthermore, the computer program developed for this analysis could serve as a valuable tool for assessing GI implementation limits and offering guidance to policymakers.
Publisher
University of Alberta Libraries
Reference20 articles.
1. Ara, S., & Khatun, R. (2021). Urban Area Growth Monitoring in Sylhet City Using Remote Sensing and Geographic Information System from 2002 to 2017. International Research Journal of Engineering and Technology, 08(03). Retrieved November 17, 2023, from https://www.irjet.net/archives/V8/i3/IRJET-V8I3185.pdf
2. Daksiya, V., Su, H. T., Chang, Y. H., & Lo, E. Y. M. (2017). Incorporating socio-economic effects and uncertain rainfall in flood mitigation decision using MCDA. Natural Hazards (Dordrecht), 87(1), 515–531. Retrieved December 12, 2023, from https://doi.org/10.1007/s11069-017-2774-x
3. Dasgupta, S., Zaman, A., Roy, S., Huq, M., Jahan, S., & Nishat, A. (2015). Urban flooding of greater Dhaka in a changing climate: building local resilience to disaster risk. The World Bank. Retrieved December 12, 2023, from https://doi.org/10.1596/978-1-4648-0710-7
4. Fang, C. (2010). Rainwater retention capacity of green roofs in subtropical monsoonal climatic regions: a case study of Taiwan. Design and Nature, 138, 239-249. Retrieved November 29, 2023, from https://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/138/21172
5. Foster, J., Lowe A., & Winkelman S. (2011). The Value of Green Infrastructure for Urban Climate Adaptation. The Centre for Clean Air Policy. Retrieved November 14, 2023, from https://savetherain.us/wp-content/uploads/2011/10/Green_Infrastructure_Urban_Climate_Adaptation.pdf