Wei Guanyu, Han Gab-Soo, Lang Xiaoxia
Department of Environmental Landscape Architecture, College of Life Science, Gangneung-Wonju National University, Gangneung, 25457, South Korea.
Department of Environmental Design, College of Art and Design, Qingdao University of Technology, Qingdao, 266033, China.
Heliyon. 2024 Sep 27;10(19):e38217. doi: 10.1016/j.heliyon.2024.e38217. eCollection 2024 Oct 15.
The preservation of cultural heritage is confronted with significant challenges due to its extensive history and the increasing impact of climate change, particularly natural disasters. Instead of solely investing resources in post-disaster restoration efforts, implementing a proactive risk-management strategy for natural disasters is a more effective approach. This study introduces an analytical and evaluative methodology grounded in remote sensing (RS) and geographic information systems (GIS) to bridge the existing gap in understanding natural disaster risks to cultural heritage sites in Jinan, China. By leveraging a combination of RS data and established methodologies such as the Soil Conservation Service Curve Number, Maximum entropy, and the Revised Universal Soil Loss Equation, we conducted an in-depth analysis of the risks posed by various disasters including floods, landslides, earthquakes, and erosion. Furthermore, GIS and the Analytic Hierarchy Process were utilized to facilitate the risk assessment. Detailed disaster risk maps based on these assessments were produced. Our findings revealed that approximately 28.95 % of Jinan's cultural heritage sites face moderate to severe risks from natural disasters. Cultural heritage sites in Changqing District, Gangcheng District, and Laiwu District are particularly vulnerable to such calamities. These outcomes serve as crucial references for enhancing the safeguarding and management of cultural heritage, while informing disaster prevention and mitigation strategies in Jinan.
由于文化遗产历史悠久且气候变化（尤其是自然灾害）的影响日益增大，其保护面临重大挑战。与其仅仅将资源投入到灾后恢复工作中，对自然灾害实施积极的风险管理策略是一种更有效的方法。本研究引入了一种基于遥感（RS）和地理信息系统（GIS）的分析和评估方法，以弥合目前在了解中国济南文化遗产地自然灾害风险方面存在的差距。通过结合RS数据以及诸如土壤保持服务曲线数、最大熵和修订通用土壤流失方程等既定方法，我们对洪水、山体滑坡、地震和侵蚀等各种灾害所带来的风险进行了深入分析。此外，利用GIS和层次分析法促进风险评估。基于这些评估制作了详细的灾害风险地图。我们的研究结果显示，济南约28.95%的文化遗产地面临来自自然灾害的中度至重度风险。长清区、钢城区和莱芜区的文化遗产地尤其容易遭受此类灾害。这些结果为加强文化遗产的保护和管理提供了关键参考，同时也为济南的防灾减灾策略提供了依据。
