scholarly journals Climate adaptation planning for cultural heritages in coastal tourism destinations: A multi-objective optimization approach

2022 ◽  
Vol 88 ◽  
pp. 104380
Author(s):  
Peizhe Li ◽  
Xiao Xiao ◽  
Erin Seekamp
2021 ◽  
Vol 13 (3) ◽  
pp. 1334
Author(s):  
Denis Maragno ◽  
Carlo Federico dall’Omo ◽  
Gianfranco Pozzer ◽  
Francesco Musco

Climate change risk reduction requires cities to undertake urgent decisions. One of the principal obstacles that hinders effective decision making is insufficient spatial knowledge frameworks. Cities climate adaptation planning must become strategic to rethink and transform urban fabrics holistically. Contemporary urban planning should merge future threats with older and unsolved criticalities, like social inequities, urban conflicts and “drosscapes”. Retrofitting planning processes and redefining urban objectives requires the development of innovative spatial information frameworks. This paper proposes a combination of approaches to overcome knowledge production limits and to support climate adaptation planning. The research was undertaken in collaboration with the Metropolitan City of Venice and the Municipality of Venice, and required the production of a multi-risk climate atlas to support their future spatial planning efforts. The developed tool is a Spatial Decision Support System (SDSS), which aids adaptation actions and the coordination of strategies. The model recognises and assesses two climate impacts: Urban Heat Island and Flooding, representing the Metropolitan City of Venice (CMVE) as a case study in complexity. The model is composed from multiple assessment methodologies and maps both vulnerability and risk. The atlas links the morphological and functional conditions of urban fabrics and land use that triggers climate impacts. The atlas takes the exposure assessment of urban assets into account, using this parameter to describe local economies and social services, and map the uneven distribution of impacts. The resulting tool is therefore a replicable and scalable mapping assessment able to mediate between metropolitan and local level planning systems.


2021 ◽  
Vol 9 (5) ◽  
pp. 478
Author(s):  
Hao Chen ◽  
Weikun Li ◽  
Weicheng Cui ◽  
Ping Yang ◽  
Linke Chen

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.


2010 ◽  
Vol 2 (3) ◽  
pp. 237-248 ◽  
Author(s):  
Kyle Andrew Poyar ◽  
Nancy Beller-Simms

Abstract State and local governments in the United States manage a wide array of natural and human resources that are particularly sensitive to climate variability and change. Recent revelations of the extent of the current and potential climate impact in this realm such as with the quality of water, the structure of the coasts, and the potential and witnessed impact on the built infrastructure give these political authorities impetus to minimize their vulnerability and plan for the future. In fact, a growing number of subnational government bodies in the United States have initiated climate adaptation planning efforts; these initiatives emphasize an array of climate impacts, but at different scales, scopes, and levels of sophistication. Meanwhile, the current body of climate adaptation literature has not taken a comprehensive look at these plans nor have they questioned what prompts local adaptation planning, at what scope and scale action is being taken, or what prioritizes certain policy responses over others. This paper presents a case-based analysis of seven urban climate adaptation planning initiatives, drawing from a review of publicly available planning documents and interviews with stakeholders directly involved in the planning process to provide a preliminary understanding of these issues. The paper also offers insight into the state of implementation of adaptation strategies, highlighting the role of low upfront costs and cobenefits with issues already on the local agenda in prompting anticipatory adaptation.


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