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Enhancing Coastal Resilience: Applying Decision Support Framework for Nature-Based Solutions

Author(s): Valen Rangga Gerina; Navisa Nurbandika; Ria Verensia

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Keywords: Coastal resilience; Nature-based Solutions (NbS); Coastal protection; Multi-criteria analysis; Decision Support Framework (DSF)

Abstract: Sea-level rise and increased rainfall intensity pose significant threats to coastal areas and communities due to climate change. Consequently, it is crucial to develop and implement long-term, cost-effective coastal protection solutions, especially in low-lying areas, particularly in developing countries that often lack adequate disaster protection. However, the proposed solutions primarily involve hard-engineered infrastructure, which may be less adaptable to the uncertainties of climate change scenarios. Nature-based Solutions (NbS) are emerging as an alternative approach for coastal protection and ecosystem restoration, integrating the socio-environmental system. However, there are limitations to their implementation, such as the lack of comprehensive frameworks to support NbS mainstreaming, absence of concrete planning recommendations, and insufficient guidance for assessing and aligning NbS as necessary. To address these challenges, a decision support framework (DSF) has been developed to select the most suitable NbS options in Indonesia. The DSF utilizes a multi-criteria analysis that considers design engineering and existing natural conditions. The development methodology of the DSF includes a literature review of eco-engineering alternatives, mapping potential disaster risks, creating a multi-criteria list, assigning attributes to all relevant alternatives, translating information into the DSF, and conducting DSF testing. The DSF is designed as an interactive platform, providing users with an engaging experience while inputting the assessed criteria. It generates comprehensive alternative solutions based on user inputs. This approach benefits various stakeholders, including the government, coastal managers, and engineers, in designing and developing a masterplan. Additionally, the design scale of the DSF within the NbS model can be adjusted to accommodate different needs.


Year: 2023

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