Quantitative evaluation of plants on top surface of the Great Wall in Dazhuangke using the analytical hierarchy process

IF 2.6 1区 艺术学 Q2 CHEMISTRY, ANALYTICAL Heritage Science Pub Date : 2023-09-11 DOI:10.1186/s40494-023-01025-z
Jianbin Pan, Nuo Xu, Yuyang Tang, Meijing Cheng, Lin Zhang, Bing Wang, Jingwen Lan
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Abstract

Abstract The Great Wall of China was a military facility that has been continuously built and used for over thousands of years, and is a world-renowned cultural heritage site today. The plants growing on top surface of the Great Wall caused the damage of the Great Wall, but the process of removing these plants may further damage the body of the Great Wall. In this paper, based on the Analytic Hierarchy Process and the expert Delphi method, we selected 13 specific indices from three Constraint Layer factors, and then estimated and identified 45 species/categories of plants on top surface of the Dazhuangke section of the Great Wall. The results showthe constitution and the evaluation gradeof the evaluation system. The factor of Disruptive Effects plays the main guidance role in the evaluation system of the Constraint Layer; The indices of Impact on the Near Side Wall is the core element of the evaluation model with the highest weight of the Standard Layer. And the “Preservation”, “Partial Preservation”and “Removal” recommendations were given based on three evaluation grade (from Grade I to Grade III). This research provides scientific basis for the protective repair of the Great Wallheritage as well as "Garden on the Great Wall".

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用层次分析法对大庄科长城顶面植物进行定量评价
中国的长城是一个军事设施,经过数千年的不断建造和使用,今天是世界著名的文化遗产。生长在长城上表面的植物造成了长城的损坏,但是移除这些植物的过程可能会进一步损害长城的主体。本文基于层次分析法和专家德尔菲法,从3个约束层因子中选取13个具体指标,对大庄科长城段上表面植物的45种/类进行了估算和鉴定。结果显示了评价体系的构成和评价等级。在约束层评价体系中,破坏效应因子起着主要的指导作用;近侧壁冲击指标是评价模型的核心要素,标准层权重最高。并根据评价等级(一级至三级)提出了“保护”、“部分保护”和“拆除”建议。本研究为长城遗产及“长城花园”的保护性修复提供了科学依据。
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来源期刊
Heritage Science
Heritage Science Arts and Humanities-Conservation
CiteScore
4.00
自引率
20.00%
发文量
183
审稿时长
19 weeks
期刊介绍: Heritage Science is an open access journal publishing original peer-reviewed research covering: Understanding of the manufacturing processes, provenances, and environmental contexts of material types, objects, and buildings, of cultural significance including their historical significance. Understanding and prediction of physico-chemical and biological degradation processes of cultural artefacts, including climate change, and predictive heritage studies. Development and application of analytical and imaging methods or equipments for non-invasive, non-destructive or portable analysis of artwork and objects of cultural significance to identify component materials, degradation products and deterioration markers. Development and application of invasive and destructive methods for understanding the provenance of objects of cultural significance. Development and critical assessment of treatment materials and methods for artwork and objects of cultural significance. Development and application of statistical methods and algorithms for data analysis to further understanding of culturally significant objects. Publication of reference and corpus datasets as supplementary information to the statistical and analytical studies above. Description of novel technologies that can assist in the understanding of cultural heritage.
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