基于ArcGIS的滨海城市地下空间开发适宜性评价

李岳恒; 王绍娟; 王宁; 狄胜同

doi:10.20174/j.JUSE.2026.01.04

地下空间与工程学报 >

2026 , Vol. 22 >Issue 1: 29 - 37

DOI: https://doi.org/10.20174/j.JUSE.2026.01.04

地下空间开发利用

基于ArcGIS的滨海城市地下空间开发适宜性评价

李岳恒 ,
王绍娟 ,
王宁 ,
狄胜同

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1.临沂大学土木工程与建筑学院,山东临沂 276000;
2.临沂市市政工程建设管理服务中心,山东临沂 276037

李岳恒(2000—),男,山东滨州人,硕士生,现主要从事土木工程、水工环地质等方面的研究工作。E-mail:1547467318@qq.com

狄胜同(1990—),男,山东临沂人,博士,讲师,主要从事土木工程、水工环地质等方面的教学与科研工作。E-mail:dishengtong@163.com

收稿日期: 2025-04-12

网络出版日期: 2026-03-03

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Suitability Evaluation of Underground Space Development in Coastal Cities Based on ArcGIS

Li Yueheng ,
Wang Shaojuan ,
Wang Ning ,
Di Shengtong

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1. College of Civil Engineering and Architecture, Linyi University, Linyi, Shandong 276000, P.R. China;
2. Linyi Municipal Engineering Construction Management Service Center, Linyi, Shandong 276037, P.R. China

Received date: 2025-04-12

Online published: 2026-03-03

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摘要

地下空间开发是城市建设快速发展的重要途径,而地下空间开发适宜性评价是城市地下空间资源开发利用的首要工作。滨海城市相对于内陆城市环境更为复杂,影响地下空间开发的因素也更为丰富。以山东省潍坊市北部沿海平原浅层(0~20 m)作为研究区,充分调查分析影响地下空间开发的指标因子,构建滨海城市地下空间开发适宜性评价指标体系,采用改进的结构CRITIC主客观相结合的赋权方法进行指标确权,同时,基于ArcGIS地理信息系统进行综合评价及结果可视化处理。结果表明:(1)提出的改进的结构CRITIC赋权方法既增加了客观性又保留了重要因子权重,相较于传统单一的赋权方法,主客观相结合的组合赋权更为科学;(2)断裂构造、地下水富水性、水位埋深在指标体系中占据重要地位,权重分别是19.4%、12.2%和11.3%;(3)研究区地下空间开发非常适宜面积占比12.6%,较适宜区域占31.84%,一般适宜地区占31.03%,较不适宜地区占18.93%,最不适宜占5.59%。

关键词： 组合赋权; ArcGIS; 地下空间开发; 滨海城市; 评价指标体系

本文引用格式

李岳恒 , 王绍娟 , 王宁 , 狄胜同 . 基于ArcGIS的滨海城市地下空间开发适宜性评价[J]. 地下空间与工程学报, 2026 , 22(1) : 29 -37 . DOI: 10.20174/j.JUSE.2026.01.04

Abstract

The underground space development is an important way for the rapid development of urban construction, and the suitability evaluation of underground space development is the primary work for the development and utilization of urban underground space resources. Coastal cities are more complex than inland cities, and the factors affecting the underground space development are also quite abundant. Taking the shallow layer ( 0~20 m) of the northern plain of Weifang City, Shandong Province as the research area, the index factors affecting the underground space development are fully investigated and analyzed, and a combining subjective and objective weighting method of the improved the structural CRITIC is used to determine the weight of the index. At the same time, the results of the suitability of underground space development in the study area were also visualized by weighting the sum of evaluation factors based on ArcGIS. The results show that:(1) The proposed improved the structural CRITIC weighting method not only increases the objectivity but also retains the weight of important factors. Compared with the traditional single weighting method, the combining subjective and objective weighting method is more scientific.(2)Fault structure, groundwater abundance and water level depth occupy an important position in the index, and the weights are 19.4 %, 12.2 % and 11.3 % respectively.(3) The percentage of area in the very suitable part is 12.6%, the more suitable area is 31.84%, the generally suitable area is 31.03%, the less suitable area is 18.93%, and the least suitable area is 5.59%.

Key words： combination weighting; ArcGIS; underground space development; coastal city; evaluation index system

参考文献

[1] 钱七虎.利用地下空间助力发展绿色建筑与绿色城市[J]. 隧道建设(中英文), 2019, 39(11): 1737-1747. (Qian Qihu. Using underground space to help develop green buildings and green cities[J].Tunnel construction, 2019, 39(11): 1737-1747 (in Chinese))
[2] 金乐文, 王琛, 梁发云.城市滨海软土地区深层地下空间开发现状及工程问题[J]. 岩土工程学报, 2021, 43(增2): 178-183. (Jin Lewen, Wang Chen, Liang Fayun. Development status and engineering problems of deep underground space in urban coastal soft soil area[J].Journal of Geotechnical Engineering, 2021, 43(Supp.2): 178-183. (in Chinese))
[3] 谭飞, 汪君, 焦玉勇, 等.城市地下空间适宜性评价研究国内外现状及趋势[J]. 地球科学, 2021, 46(5): 1896-1908.(Tan Fei, Wang Jun, Jiao Yuyong, et al. Research status and trend of urban underground space suitability evaluation at home and abroad[J]. Geoscience, 2021, 46(5): 1896-1908. (in Chinese))
[4] 易荣, 阎浩, 祁民, 等.基于城市规划的城市地下空间开发适宜性评价探讨[J]. 地质与勘探, 2024, 60(2): 339-347. (Yi Rong, Yan Hao, Qi Min, et al. Suitability evaluation of urban underground space development based on urban planning[J].Geology and exploration, 2024,60 (2): 339-347. (in Chinese))
[5] 贾伍慧, 李宗发, 刘凯, 等.典型滨海平原城市地下空间地质适宜性评价[J]. 地质与勘探, 2024, 60(2): 367-376. (Jia Wuhui, Li Zongfa, Liu Kai, et al. Geological suitability evaluation of underground space in typical coastal plain cities[J]. Geology and exploration, 2024, 60(2): 367-376. (in Chinese))
[6] Yu P, Liu H, Wang Z, et al. Development of urban underground space in coastal cities in China:A review[J]. Deep Earth Science ( English ), 2023,2(2): 148-172.
[7] 李阔, 陈剑文, 徐飞飞, 等.滨海城市地下空间开发综合潜力评价模型[J]. 地下空间与工程学报, 2023, 19(5): 1412-1421. (Li Kuo, Chen Jianwen, Xu Feifei, et al. Comprehensive potential evaluation model of underground space development in coastal cities[J]. Underground space and engineering, 2023, 19(5): 1412-1421. (in Chinese))
[8] 刘鑫宇, 董杰, 王睿, 等.我国城市地下空间开发适宜性评价研究现状与发展趋势[J]. 地质与勘探, 2024, 60(2): 348-355. (Liu Xinyu, Dong Jie, Wang Rui, et al. Research status and development trend of suitability evaluation of urban underground space development in China [J]. Geology and exploration, 2024, 60(2): 348-355. (in Chinese))
[9] Nelson P P, A framework for the future of urban underground engineering[J]. Tunnelling and Underground Space Technology, 2015, 55: 32-39.
[10] 李晓昭, 王睿, 顾倩, 等.城市地下空间开发的战略需求[J]. 地学前缘, 2019,26(3): 32-38. (Li Xiaozhao, Wang Rui, Gu Qian, et al. Strategic needs for urban underground space development[J]. Geological frontier, 2019,26(3): 32-38. (in Chinese))
[11] Tan F, Wang J, Jiao Y Y, et al. Suitability evaluation of underground space based on finite interval cloud model and genetic algorithm combination weighting[J].Tunnelling and Underground Space Technology, 2020, 108(6): 103743.
[12] 马莎, 刘聪聪, 张润华, 等.基于熵权—层次分析法的地下空间适宜性评价[J]. 科学技术与工程, 2021, 21(23): 10013-10020.(Ma sha, Liu Congcong, Zhang Runhua, et al. Suitability evaluation of underground space based on entropy weight-analytic hierarchy process[J]. Science, technology and engineering, 2021,21 (23): 10013-10020. (in Chinese))
[13] 吴炳华, 张水军, 徐鹏雷, 等.宁波市地下空间开发地质环境适宜性评价[J]. 地下空间与工程学报, 2017, 13(增1): 16-21.(Wu Binghua, Zhang Shuijun, Xu Penglei, et al. Suitability Evaluation of Geological Environment for Underground Space Development in Ningbo[J]. Journal of Underground Space and Engineering, 2017,13(Supp.1): 16-21. (in Chinese))
[14] 孙文洁, 杨文凯, 邓岳飞, 等.基于模糊数学的北京城区地下空间地质适宜性评价[J]. 地球学报, 2024, 45(1): 73-79. (Sun Wenjie, Yang Wenkai, Deng Yuefei, et al. Geological suitability evaluation of underground space in Beijing urban area based on fuzzy mathematics[J]. Acta Geoscientica Sinica, 2024, 45(1): 73-79. (in Chinese))
[15] Zhu H, Huang X, Li X, et al. Evaluation of Urban Underground Space Resources Using Digitalization Technologies[J]. Underground Space, 2016, 1(2): 124-136.
[16] 马青山, 葛伟亚, 邢怀学, 等.杭州市钱塘新区地下空间开发地质环境适宜性评价[J]. 地质与勘探, 2024, 60(1): 20-32. (Ma Qingshan, Ge Weiya, Xing Huaixue, et al. Suitability Evaluation of Geological Environment for Underground Space Development in Qiantang New District, Hangzhou[J]. Geology and Exploration, 2024, 60(1): 20-32. (in Chinese))
[17] 甄艳, 鲁小丫, 李胜, 等.城市地下空间开发利用适宜性评价[J]. 测绘科学, 2018, 43(5): 62-67, 86. (Zhen Yan, Lu Xiaoya, Li Sheng, et al. Suitability evaluation of urban underground space development and utilization[J]. Surveying and Mapping Science, 2018, 43(5): 62-67, 86. (in Chinese))
[18] 范峻恺, 徐建刚, 胡宏.基于BP神经网络模型的海绵城市建设适宜性评价——以福建省长汀县为例[J]. 生态经济, 2019, 35(11): 222-229. (Fan Junkai, Xu Jiangang, Hu Hong. Suitability evaluation of sponge city construction based on BP neural network model-a case study of Changting County, Fujian Province[J]. Ecological Economy, 2019, 35(11) : 222-229. (in Chinese))
[19] 蒋旭, 王婷婷, 穆静.地下空间开发利用适宜性与资源量的应用研究[J]. 地下空间与工程学报, 2018, 14(5): 1145-1153. (Jiang Xu, Wang Tingting, Mu Jing. Application research on the suitability and resource quantity of underground space development and utilization [J]. According to Journal of Underground Space and Engineering, 2018, 14 (5): 1145-1153. (in Chinese))
[20] 苏栋, 黄茂隆, 韩文龙, 等.考虑城市地质环境影响的深圳市地下空间开发适宜性评价[J]. 地学前缘, 2023, 30(4): 514-524. (Su Dong, Huang Maolong, Han Wenlong, et al. Suitability evaluation of underground space development in Shenzhen considering the impact of urban geological environment[J]. Geological frontier, 2023,30 (4): 514-524. (in Chinese))
[21] Ni X, Li J, Xu J, et al. Grey relation analysis and multiple criteria decision analysis method model for suitability evaluation of underground space development[J], Engineering Geology, 2024: 107608.
[22] 吴林娟, 赵国俊.基于结构CRITIC法的学术期刊评价指标的赋权方法及比较[J]. 统计与决策, 2024, 40(1): 56-62. (Wu Linjuan, Zhao Guojun. The weighting method and comparison of academic journal evaluation indexes based on structural CRITIC method[J]. Statistics and decision-making, 2024,40 (1) : 56-62. (in Chinese))
[23] 孙彬, 于海霞, 刘丙军.基于改进CRITIC法的梅州市韩江区域初始水权分配[J]. 水电能源科学, 2022, 40(9): 61-65. (Sun Bin, Yu Haixia, Liu Bingjun. Initial water rights allocation in Hanjiang area of Meizhou City based on improved CRITIC method[J]. Hydropower Energy Science, 2022, 40(9) : 61-65. (in Chinese))
[24] 胡学祥, 刘干斌, 陶海冰.基于ArcGIS宁波市地下空间开发适宜性评价研究[J]. 地下空间与工程学报, 2016, 12(6): 1439-1444. (Hu Xuexiang, Liu Qianbin, Tao Haibing. Suitability evaluation of underground space development in Ningbo based on ArcGIS[J]. Journal of Underground Space and Engineering, 2016,12 (6): 1439-1444. (in Chinese))
[25] 陈梅芳, 谭亚辉, 张传飞, 等.地浸采铀井网影响因素分析与评价研究[J]. 中国矿业, 2024, 33(3): 243-248. (Chen Meifang, Tan Yahui, Zhang Chuanfei, et al. Analysis and evaluation of influencing factors of in-situ leaching uranium well pattern[J]. China Mining Industry, 2024, 33(3) : 243-248. (in Chinese))
[26] 郝杰, 李洪涛, 安成龙, 等.露天石灰岩矿山地质环境修复难度评价方法及应用研究[J]. 矿业研究与开发, 2024, 44(4): 175-184. (Hao Jie, Li Hongtao, An Chenglong, et al. Study on evaluation method and application of geological environment restoration difficulty in open-pit limestone mine[J]. Mining research and development, 2024,44 (4) : 175-184. (in Chinese))
[27] 李乃强, 徐贵阳.基于自然间断点分级法的土地利用数据网格化分析[J]. 测绘通报, 2020(4): 106-110, 156. (Li Naiqiang, Xu Guiyang. Grid-based Analysis of Land Use Data Grading Method Based on Natural Breaks[J]. Bulletin of Surveying and Mapping, 2020(4): 106-110, 156. (in Chinese))
[28] Ma C X, Peng F L, Qiao Y K,et al. Evaluation of spatial performance and supply-demand ratios of urban underground space based on POI data: A case study of Shanghai [J]. Tunnelling and underground space technology, 2023, 131: 104775.
[29] 秦品瑞, 高帅, 徐军祥, 等.济南市城市地下空间资源开发利用适宜性评价[J]. 山东国土资源, 2019, 35(6): 56-66. (Qin Pinrui, Gao Shuai, Xu Junxiang, et al. Suitability evaluation of development and utilization of urban underground space resources in Jinan[J]. Land resources in Shandong, 2019,35(6): 56-66. (in Chinese))
[30] Wang M, Wang H, Feng Y, et al. Investigating Urban Underground Space Suitability Evaluation Using Fuzzy C-Mean Clustering Algorithm—A Case Study ofHuancui District, Weihai City[J]. Applied Sciences, 2022, 12: 12113.
[31] 任念. 基于ArcGIS的长沙市地下空间开发适宜性评价[D].湘潭:湖南科技大学, 2021. (Ren Nian. Suitability evaluation of underground space development in Changsha City based on ArcGIS[D].Xiangtan: Hunan University of Science and Technology, 2021. (in Chinese))

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