Spatial investigation and pattern exploration of salinity erosion damage of the Ming Great Wall in Gansu, China

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I publikationen:Heritage Science vol. 13, no. 1 (Dec 2025), p. 108
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Springer Nature B.V.
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022 |a 2050-7445 
024 7 |a 10.1038/s40494-025-01618-w  |2 doi 
035 |a 3188902962 
045 2 |b d20251201  |b d20251231 
084 |a 243040  |2 nlm 
245 1 |a Spatial investigation and pattern exploration of salinity erosion damage of the Ming Great Wall in Gansu, China 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a The Great Wall is currently facing a significant amount of erosion damage that are rapidly causing its decay and destruction. Among these, erosion damage caused by saltwater intrusion, are the most devastating, as they undermine the foundation of the wall, leading to rapid collapse and disappearance. This study utilizes low-altitude oblique photography technology with unmanned aerial vehicles (UAVs) to construct a digital method route for rapid survey and precise quantification of the damage. We conducted a comprehensive survey of erosion damage along the Ming Great Wall in Gansu, China. A three-dimensional point cloud model was utilized to quantitatively assess the morphological characteristics of the erosion damage. Additionally, the distribution patterns of saline erosion were examined through a combination of field sampling and physicochemical experimental analysis. Our findings indicate that the spatial distribution of erosion damage exhibits an aggregative characteristic and is closely related to natural geographical elements. There are regional differences in the morphological characteristics of erosion, with high concentrations of erosion height and depth data in different sections. The degree of saltwater intrusion and the distribution of soluble salt content vary in different parts of the wall, showing a regular pattern of higher levels on the south side, decreasing from bottom to top. The paper conducts a basic survey of the spatial distribution and patterns of erosion damage, which decrease from a macroscopic distribution to key sections, and produces a risk map of erosion damage based on the survey results, providing reference and scientific support for the protection and restoration of the Great Wall. 
651 4 |a China 
653 |a Saline water 
653 |a Distribution patterns 
653 |a Unmanned aerial vehicles 
653 |a Low altitude 
653 |a Spatial distribution 
653 |a Salt water intrusion 
653 |a Morphology 
653 |a Damage patterns 
653 |a Solubility 
773 0 |t Heritage Science  |g vol. 13, no. 1 (Dec 2025), p. 108 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3188902962/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3188902962/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch