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片状剥离作为土遗址最为典型且严重的病害类型，严重威胁遗址的安全赋存。在环境与遗址土协同作用下，片状剥离具有明显的时空发育特征，针对时间维度下片状剥离病害开展量化评估与预测研究是对其实施加固保护的重要前提和指南。研究遴选陕西省内半干旱、半湿润环境下，战国、汉、隋、唐、宋、明、清等7个历史朝代修筑的19处土遗址发育的片状剥离作为研究对象，通过现场调查测试收集病害平面和剖面发育指标、土体水盐含量、土体表面硬度、遗址修筑时期历史温度变化等评估指标，结合热力图和层次分析法(AHP)计算指标权重，利用逼近理想解排序法(TOPSIS)实现对土遗址片状剥离发育程度的量化评估，进而应用LSTM算法实现时间序列下片状剥离病害的智能预测。研究结果表明，19处土遗址中有3处片状剥离发育等级为高级，2处为低级，其余14处为中等程度。基于评估结果，利用LSTM模型对前90%的样本点进行训练，并对最后2处遗址进行预测，预测结果的均方根误差(RMSE)为0.044 424,平均绝对误差(MAE)为0.037 046,平均绝对百分比误差(MAPE)为14.803 1%,决定系数(R2)为0.844 23,评估及预测结果具有较高准确性和合理性，为后续土遗址片状剥离的保护加固工作提供了科学依据和实践指导，并为其他土遗址典型病害的量化研究提供了模块示范。
Abstract：Scaling off is one of the most typical and severe forms of deteriorations on earthen sites, posing a significant threat to their long-term preservation. This phenomenon exhibits distinct spatio-temporal developmental characteristics, influenced by the complex interactions between environmental factors and the intrinsic properties of earthen materials. A comprehensive quantitative assessment and predictive analysis of scaling off under the temporal dimension are essential to guide effective conservation strategies. This study focused on the scaling off observed on the 19 earthen sites in Shaanxi Province, located in semi-arid and semi-humid environments, which were constructed during seven historical dynasties, including the Warring States, Han, Sui, Tang, Song, Ming, and Qing. Through field investigations and geotechnical tests, we collected characteristic indicators of scaling off, including planar and cross-sectional metrics, soil water and salt content, surface hardness, and historical temperature variations corresponding to the construction periods of the sites. Using heat maps and the analytic hierarchy process(AHP), the weight of each indicator was calculated. After that, a quantitative assessment of the scaling-off development level was achieved by using the technique for order preference by similarity to ideal solution(TOPSIS). Finally, the long short-term memory(LSTM) algorithm was applied to realize the intelligent prediction of scaling off under the temporal dimension. The results revealed that the scaling off development level for 3 sites was categorized as high, 2 sites in the low level, and other 14 sites in the medium level. By using the first 90% sample points for the training of LSTM model, the last two sites were effectively predicted having the root mean square error(RMSE), mean absolute error(MAE), mean absolute percentage error(MAPE) and absolute variance(R2) of 0.044 424, 0.037 046, 14.803 1% and 0.844 23 respectively. The evaluation and prediction results are accurate and reasonable, providing a scientific foundation and practical guidance for subsequent conservation work of scaling off in earthen sites, and it offers a modular demonstration for the quantitative research of other types of deterioration in earthen sites.
[1] 郭青林，裴强强，王彦武，等.我国土遗址保护研究新进展[J].石窟与土遗址保护研究，2024,3(3):18-31.GUO Q L,PEI Q Q,WANG Y W,et al.New progress in the conservation research on the earthen sites of China [J].Research on Conservation of Cave Temples and Earthen Sites,2024,3(3):18-31.
[2] GUO Q L,WANG Y W,CHEN W W,et al.Key issues and research progress on the deterioration processes and protection technology of earthen sites under multi-field coupling[J].Coatings,2022,12(11):1677.
[3] 孙满利，沈云霞.丝绸之路土遗址的保护现状及对策研究[J].石窟与土遗址保护研究，2022,1(1):70-79.SUN M L,SHEN Y X.Research on the actualities and countermeasures of the protection of the earthen sites along the silk road[J].Research on Conservation of Cave Temples and Earthen Sites,2022,1(1):70-79.
[4] 谌文武，祁强，郭志谦，等.甘肃省单体土遗址的时空分布特征[J].兰州大学学报(自然科学版),2024,60(2):205-213.CHEN W W,QI Q,GUO Z Q,et al.Spatial and temporal distribution characteristics of single earthen heritage sites in Gansu Province[J].Journal of Lanzhou University (Natural Sciences),2024,60(2):205-213.
[5] 崔凯，陈蒙蒙，谌文武，等.干湿与盐渍耦合作用下土遗址强度劣化机理[J].兰州大学学报(自然科学版),2017,53(5):582-587.CUI K,CHEN M M,CHEN W W,et al.Mechanism and processes of intensity deterioration of earthen ruin’s soil undergoing salinized and dry-wet coupling effect[J].Journal of Lanzhou University (Natural Sciences),2017,53(5):582-587.
[6] DU Y M,CHEN W W,CUI K,et al.Study on damage assessment of earthen sites of the Ming Great Wall in Qinghai Province based on fuzzy-AHP and AHP-TOPSIS[J].International Journal of Architectural Heritage,2020,14(6):903-916.
[7] 张虎元，刘平，王锦芳，等.土建筑遗址表面结皮形成与剥离机制研究[J].岩土力学，2009,30(7):1883-1891.ZHANG H Y,LIU P,WANG J F,et al.Generation and detachment of surface crust on ancient earthen architectures[J].Rock and Soil Mechanics,2009,30(7):1883-1891.
[8] 谌文武，杨光，张迎敏，等.青海地区苔藓结皮对土遗址片状剥离的影响[J].工程科学与技术，2017,49(5):22-27.CHEN W W,YANG G,ZHANG Y M,et al.Effect of moss soil crust on the scaling off of earthen sites in Qinghai[J].Advanced Engineering Sciences,2017,49(5):22-27.
[9] DU Y M,DONG W Q,CUI K,et al.Research progress on the development mechanism and exploratory protection of the scaling off on earthen sites in NW China[J].Science China Technological Sciences,2023,66(8):2183-2196.
[10] 崔凯，张影会，谌文武，等.干旱区夯土遗址表面剥离二元结构特征与形成机制[J].兰州大学学报(自然科学版),2019,55(5):647-654.CUI K,ZHANG Y H,CHEN W W,et al.Characteristics and formation mechanism of the binary structure in scaling off the surface of rammed earth ruins in arid areas[J].Journal of Lanzhou University (Natural Sciences),2019,55(5):647-654.
[11] SHAO M S,LI L,WANG S J,et al.Deterioration mechanisms of building materials of Jiaohe Ruins in China[J].Journal of Cultural Heritage,2013,14(1):38-44.
[12] 王旭东.土遗址保护关键技术研究[M].北京：科学出版社，2013.
[13] CUI K,DU Y M,ZHANG Y H,et al.An evaluation system for the development of scaling off at earthen sites in arid areas in NW China[J].Heritage Science,2019,7:14.
[14] 许健，郑翔，王掌权.黄土边坡盐蚀剥落病害特征调查及其水盐迁移规律研究[J].工程地质学报，2018,26(3):741-748.XU J,ZHENG X,WANG Z Q.Investigation for water and salt migrations on spall[J].Journal of Engineering Geology,2018,26(3):741-748.
[15] 谌文武，吕海敏，崔凯，等.氯盐和硫酸盐对遗址土体颗粒级配和界限含水率影响的对比[J].兰州大学学报(自然科学版),2015,51(3):334-338.CHEN W W,LYU H M,CUI K,et al.Comparative study of the influence of chlorine and sulfate salt on grain size distribution and limit moisture content in site soils[J].Journal of Lanzhou University (Natural Sciences),2015,51(3):334-338.
[16] MATERA F,MOSS E.Temporary site protection for earthen walls and murals at çata1höyük,Turkey[J].Conservation and Management of Archaeological Sites,2004,6(3/4):213-227.
[17] CAMPIANI A,LINGLE A,LERCARI N.Spatial analysis and heritage conservation:Leveraging 3-D data and GIS for monitoring earthen architecture[J].Journal of Cultural Heritage,2019,39:166-176.
[18] DU Y M,CUI K,CHEN S Y,et al.Quantitative research on the development difference of scaling off on the sunward side and nightside of earthen sites[J].Journal of Cultural Heritage,2022,57:107-117.
[19] 陈毅.干旱土遗址劣化的日照温度效应研究[D].兰州：兰州大学，2018.
[20] 刘洪丽，张正模，郭青林，等.面向材料老化的遗址土特性研究：以锁阳城遗址为例[J].西北大学学报(自然科学版),2023,53(1):96-104.LIU H L,ZHANG Z M,GUO Q L,et al.The properties of earthen monument soil oriented the material aging:A case study of the Suoyang ancient city [J].Journal of Northwest University (Natural Sciences Edition),2023,53(1):96-104.
[21] 孙丽娟，屈亚婷，赵丛苍，等.杨官寨遗址土遗迹表面防风化保护材料研究[J].西北大学学报(自然科学版),2012,42(3):477-482.SUN L J,QU Y T,ZHAO C C,et al.Study on surface anti-weathering protective materials for earthen relics at Yangguanzhai Site[J].Journal of Northwest University (Natural Sciences Edition),2012,42(3):477-482.
[22] 谌文武，杨光，崔凯，等.土遗址片状剥离加固现场渗透试验[J].兰州大学学报(自然科学版),2017,53(3):309-315.CHEN W W,YANG G,CUI K,et al.Field penetration tests to strengthen the scaling-off of earthen sites[J].Journal of Lanzhou University (Natural Sciences),2017,53(3):309-315.
[23] 崔凯，程福强，谌文武，等.电渗注浆加固土遗址片状剥离实验研究[J].岩石力学与工程学报，2021,40(2):390-398.CUI K,CHENG F Q,CHEN W W,et al.Experimental study on electro-osmosis grouting reinforcement of scaling-off earthen sites[J].Chinese Journal of Rock Mechanics and Engineering,2021,40(2):390-398.
[24] 王永进，纪娟，石美荣，等.陕西境内遗址表面CaSO4·2H2O产生之水盐运移规律研究[J].文物保护与考古科学，2023,35(2):90-96.WANG Y J,JI J,SHI M R,et al.Research on water and salt transport of CaSO4·2H2O generated on the surfaces of archaeological sites in Shaanxi Province[J].Sciences of Conservation and Archaeology,2023,35(2):90-96.
[25] 王旭东.丝绸之路重要古迹遗址赋存环境图集[M].北京：中国地图出版社，2016.
[26] GUO Z Q,WU C,ZHANG S,et al.Characterization on flaking of rammed earthen sites using SMO algorithm and surface topography analysis:A case study of Jiaohe Ruins[J].Journal on Computing and Cultural Heritage,2024,17(3):1-20.
[27] PHAM T A,NADIMI S,SUTMAN M.Critical review of physical-mechanical principles in geostructure-soil interface mechanics[J].Geotechnical and Geological Engineering,2024,42(8):6757-6808.
[28] 中华人民共和国住房和城乡建设部.土工试验方法标准：GB/T 50123—2019[S].北京：中国计划出版社，2019.
[29] 杜昱民.青海明长城防御体系及典型遗址易损性评价[D].兰州：兰州大学，2019.
[30] CHAKRABORTY S.TOPSIS and modified TOPSIS:A comparative analysis[J].Decision Analytics Journal,2022,2:100021.
[31] ZHANG L X,WANG Y W,ZHANG J K,et al.Rockfall hazard assessment of the slope of Mogao Grottoes,China based on AHP,F-AHP and AHP-TOPSIS[J].Environmental Earth Sciences,2022,81(14):377.
[32] 王珺，孙进越，俞凯，等.基于分组LSTM与CNN的青铜器锈蚀类别智能标识方法[J].西北大学学报(自然科学版),2021,51(5):778-786.WANG J,SUN J Y,YU K,et al.Intelligent identification method for bronze rust category based on grouping LSTM and CNN[J].Journal of Northwest University (Natural Sciences Edition),2021,51(5):778-786.
[33] 卢宝明，徐金明.基于EMD-LSTM人工神经网络的云冈石窟环境参数预测[J].上海大学学报(自然科学版),2024,30(1):1-16.LU B M,XU J M.Estimation of environmental parameters of Yungang Grottoes based on empirical mode decomposition and long short-term memory artificial neural network [J].Journal of Shanghai University (Natural Science),2024,30(1):1-16.
[34] 单天昊.西藏文物知识图谱的构建与应用研究[D].拉萨：西藏大学，2024.
[35] 冯强.文物藏品知识图谱构建技术研究[D].西安：西北大学，2022.
[36] 李琳.基于知识图谱的文物数字化系统构建研究[D].北京：北京交通大学，2022.
[37] 欧阳红兵，黄亢，闫洪举.基于LSTM神经网络的金融时间序列预测[J].中国管理科学，2020,28(4):27-35.OUYANG H B,HUANG K,YAN H J.Prediction of financial time series based on LSTM neural network [J].Chinese Journal of Management Science,2020,28(4):27-35.
[38] 王思齐，蒋玮，董长帅.神经网络在常用标准件理论应力集中系数中的预测研究[J].机械设计与制造，2025(9):23-27.WANG S Q,JIANG W,DONG C S.Research on prediction of theoretical stress concentration coefficient of common standard parts by neural network[J].Machinery Design & Manufacture,2025(9):23-27.
基本信息:
DOI：10.16152/j.cnki.xdxbzr.2026-02-007
中图分类号:TU-87;K878
引用信息:
[1]杜昱民,董文强,郭亚旭,等.时间序列下土遗址片状剥离病害量化评估及预测[J].西北大学学报(自然科学版),2026,56(02):286-300.DOI:10.16152/j.cnki.xdxbzr.2026-02-007.
基金信息:
国家自然科学青年基金(42202313); 陕西省社会科学基金年度项目(2021G014); 陕西省两链融合重点专项(2022LL-ZD-01)
2026-04-14
2026-04-14
2026-04-14