基於自然的解決方案(Nature-based Solutions, NbS)概念自2008年提出，近年來已廣泛被應用在水利、海岸與山林治理方面，NbS的核心精神是儘量恢復地球原有的自然生態系統，並依服務能力來應對各式社會挑戰，包含災害治理問題，NbS概念並非無工程措施，NbS是同時考量「水」、「環境」和「人」，讓利害關係者(Stakeholder)可以獲得多重效益，又稱共同利益(Co-benefit)的一個方法，本論文應用NbS研究的課題是海岸保護。
由於NbS仍屬新創名詞，國際間對實施NbS迄今仍未有明確框架或流程，各式問題的影響層面不同，導致各研究提出的設計理念與評估方式雖然相似但並不相同，使得施作NbS難以直接引用。因此，本研究蒐集近年國際間對NbS的定義、原則和標準，嘗試提出一個可應用於海岸保護的NbS治理框架。
本研究共蒐集了18種可應用於海岸保護的NbS解方，逐項闡述其內容，另外，本研究建立選擇NbS的優選方法，利用相關利益者和專家的知識和經驗，以直覺式模糊群體決策方式建置NbS治理評估模式，並確立評估指標的評估方式、權重分析和措施排序流程。透過此流程，決策者能選擇和實施合適的海岸NbS防護措施。最後，本研究以台南黃金海岸保護為例說明論證成果，分析結果證實了本研究所提框架的可行性和應用潛力，未來可擴展至其他海岸段的防護上。
本研究提供了一個與以往國際間實施NbS不同的共識性評估指標和實施框架，有助於推動NbS的普及和實施，有望促進NbS在全球的普及和應用，以應對氣候變遷的挑戰。

The concept of Nature-based Solutions (NbS) was introduced in 2008 to deal with Social challenges and climate change. It has been widely use in water, coastal, and forest management. Although NbS has been widely implemented, there's no a globally consensus framework, owing to distinct challenges and impacts encountered in each application. This study bridges this gap, proposing an NbS framework for coastal protection within stakeholder’s opinion.

The research identifies 18 NbS measures for coastal protection, providing an understanding of each. It establishes an intuitive fuzzy group decision-making model for selecting the best NbS solution, employing the expertise of relevant stakeholders. This framework includes determining assessment methods, analyzing weight, and ranking protective measures. The resulting process enables decision-makers to choose and implement appropriate coastal NbS measures efficiently.

The study is substantiated by a case study from the Gold Coast in Tainan, demonstrating the framework's feasibility and potential for wider application.

This research contributes a unique consensus assessment indicator and implementation framework for NbS, differing from previous international efforts. By doing so, it not only encourages the popularization and application of NbS but also fosters its expansion in Taiwan, crucial in meeting climate change challenges.

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