Evaluation model of geological environment resilience in the urban deep underground space and its application

SU Dong; HUANG Maolong; HAN Wenlong; CHEN Xiangsheng

doi:10.12029/gc20230104001

GEOLOGY IN CHINA > 2024 > 51(1): 157-169. > DOI: 10.12029/gc20230104001

Su Dong, Huang Maolong, Han Wenlong, Chen Xiangsheng. 2024. Evaluation model of geological environment resilience in the urban deep underground space and its application[J]. Geology in China, 51(1): 157−169. DOI: 10.12029/gc20230104001

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Evaluation model of geological environment resilience in the urban deep underground space and its application

SU Dong^{1, 2, 3,},
HUANG Maolong²,
HAN Wenlong^2, ,,
CHEN Xiangsheng^{1, 2, 3, ,}

1.
State Key Laboratory of Intelligent Geotechnics and Tunnelling (Shenzhen University), Shenzhen 518060, Guangdong, China
2.
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, Guangdong, China
3.
Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen University, Shenzhen 518060, Guangdong, China

Funds: Supported by the National Natural Science Foundation of China (No. 52090081, No. 51938008), Natural Science Foundation of Shenzhen Municipality (No. JCYJ20210324094607020).

More Information

Author Bio:
SU Dong, born in 1978, professor, doctoral supervisor, engaged in the research of resilient underground space, geotechnical and underground engineering; E-mail: sudong@szu.edu.cn
Corresponding author:
HAN Wenlong, born in 1991, Ph.D., engaged in the research of tunneling and underground engineering; E-mail: hanwl0417@126.com

CHEN Xiangsheng, born in 1956, professor, doctoral supervisor, member of the Chinese Academy of Engineering, engaged in the research of tunneling and underground engineering; E-mail: xschen@szu.edu.cn.
Received Date: January 03, 2023
Revised Date: May 15, 2023
Available Online: February 03, 2024

Graphical Abstract

Abstract

Abstract

This paper is the result of urban geological survey engineering.
Objective
Evaluating the geological environment resilience of urban deep underground space contributes to improving the safety of urban underground space during development and utilization, and reducing the economic losses caused by disasters.
Methods
In this paper, a multi-factor integrated evaluation model for the geological environment resilience of urban deep underground space was proposed from the aspects of the severity of event, the vulnerability of geological body, the resistant ability, the restoring ability and the adaptability. The evaluation model was applied to analyze a catastrophic engineering accident in a city by virtue of the relevant data.
Results
The evaluation model is highly operational and feasible, and can be used for resilience assessment of urban deep underground space with various complex geological environments. For the studied accident, the severity index of the event is 5.601, which is categorized as a severe level. The exposure index is 5.735, the sensitivity index to disaster damage is 6.146, and the vulnerability index is 35.247, so the geological body is vulnerable. The early warning capacity index is 1.00, the disaster prevention capability index is increased from 5.66 to 7.00, so the resistant index is increased from 15.38 to 19.02. The recovery is 2.00 after sand filling and grouting. The adaptability index is 1.00 because the geological environment tends to be stable.
Conclusions
If affected by a disaster, the evolution in the geological environment resilience can be divided into six stages, i.e., the normal stage, the affected stage, the resisting stage, the recovering stage, the adapting stage and the new normal stage. The resilience curve shows a decrease and then an increase before reaching stable again. The resilience level reaches a minimum value at the turning point of the affected stage and the resisting stage.
- geological environment resilience,
- urban resilience,
- deep underground space,
- evaluation model,
- urban geological survey engineering
Highlights
A model for assessing the geological environment resilience of urban deep underground space is proposed to fill the gap in the method of assessing the geological environment, which provides basis theory for the construction of resilient deep underground space.

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References (53)

References

[1]	Deng Rilang, Chen Lingwei, Cai Junjian, Zhang Huawei, Zheng Xianchang. 2022. Evaluation of collapse susceptibility based on a contribution rate model—A case study at baiyun district, guangzhou City[J]. Bulletin of Soil and Water Conservation, 42(4): 218−226, 381 (in Chinese with English abstract).
[2]	Goldbeck N, Angeloudis P, Ochieng W Y. 2019. Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models[J]. Reliability Engineering & System Safety, 188: 62−79.
[3]	Gou Defei. 2020. Simulation Study on Optimal Operation Strategy of Drainage System of Deep Tunnel in S Area of Guangzhou[D]. Shenyang: Shenyang Jianzhu University, 1−130 (in Chinese with English abstract).
[4]	Huang H W, Zhang D M. 2016. Resilience analysis of shield tunnel lining under extreme surcharge: Characterization and field application[J]. Tunnelling and Underground Space Technology, 51: 301−312. doi: 10.1016/j.tust.2015.10.044
[5]	Huang Yajiang, Li Shuquan, Xiang Sisi. 2021. Evaluation of subway fire safety resilience based on AHP−PSO fuzzy combination weighting method[J]. Journal of Catastrophology, 36(3): 15−20, 40 (in Chinese with English abstract).
[6]	Lan Wei, Wang Weidong, Chang Linyue. 2022. Field pumping test and soil layer deformation analysis of super large scale deep foundation pit engineering[J]. Rock and Soil Mechanics, 43(10): 2898−2910 (in Chinese with English abstract).
[7]	Lei Shengxiang, Liu Zhichun, Huang Shuanglin, Du Kongze, Ding Zhengquan. 2022. Related research progress of networked expansion of urban underground space[J]. Chinese Journal of Underground Space and Engineering, 18(5): 1424−1440 (in Chinese with English abstract).
[8]	Li Diyuan, Mo Qiuzhe. 2015. The utilization of urban underground space in Singapore and the lesson that could be learned by China[J]. Science & Technology Review, 33(6): 115−119 (in Chinese with English abstract).
[9]	Li Hua, Wang Liang, Han Haodong, Yang Jian, Wang Qiao, Wang Donghui, Xi Zhenzhu, Long Xia, ZhangWei, Liao Guozhong. 2020. A new method for detecting gypsum mineral salt enriched layer of urban underground space in red bed area: A case study of Chengdu International Biological City[J]. Geology in China, 47(6): 1793−1803 (in Chinese with English abstract).
[10]	Li Nianchun, Zhan Xueqiang, Fen Quanlin, Xu Qiuxiao, Li Hongtao, Hao Jie, Wu Di. 2021. Evaluation of bearing capacity of geological environment in shandong province based on "bearing foundation−bearing status−bearing potential" model[J]. Northwestern Geology, 54(1): 222−231 (in Chinese with English abstract).
[11]	Lin Xingtao, Chen Xiangsheng, Su Dong, Zhu Min, Han Kaihang, Chen Renpeng. 2022. Evaluation method for resilience of shield tunnel linings considering multiple disturbances and its application[J]. Chinese Journal of Geotechnical Engineering, 44(4): 591−601 (in Chinese with English abstract).
[12]	Liu Xingwang, Li Binghe, Chen Weilin, Mao Haihe, Zhang Ge, Sun Zhengbo. 2022. Control technology for the influence of deep and large foundation pit of 6−story basement in deep soft soil on adjacent subway tunnels[J]. Building Structure, 52(15): 136−141 (in Chinese with English abstract).
[13]	Monstadt J, Schmidt M. 2019. Urban resilience in the making? The governance of critical infrastructures in German cities[J]. Urban Studies, 56(11): 2353−2371. doi: 10.1177/0042098018808483
[14]	Pan Zongyuan, Jiang Xiaozhen, Dai Jianling, Guan Zhende, Wu Yuanbin. 2017. Study on the mechanism of groundwater level restoration process to karst sinkholes in karst deposit drainage area: A case of Dachengqiao, Ningxiang county, Hu’nan Province[J]. Carsologica Sinica, 36(6): 786−794 (in Chinese with English abstract).
[15]	Sun Jun. 2019. Development and some issues on exploitation and utilization of urban underground space in China and abroad[J]. Tunnel Construction, 39(5): 699−709 (in Chinese with English abstract).
[16]	Tan Y, Lu Y, Wang D. 2021. Catastrophic failure of shanghai metro line 4 in July, 2003: Occurrence, emergency response, and disaster relief[J]. Journal of Performance of Constructed Facilities, 35(1): 04020125. doi: 10.1061/(ASCE)CF.1943-5509.0001539
[17]	Wang Hanbin. 2013. The Strategy Research on Urban Underground Space in High−density Area[D]. Tianjin: Tianjin University, 1−307(in Chinese with English abstract).
[18]	Wang J, Deng Y, Qalati S A, Qureshi N A. 2022. Urban resilience and transportation infrastructure level in the yangtze river delta[J]. Frontiers in Environmental Science, 10: 893964. doi: 10.3389/fenvs.2022.893964
[19]	Wei Qiang, Liu Jiaqi, Wang Jingchun, Wang Peng. 2021. Evaluation of safety resilience in tunnel construction based on ideal fuzzy matter element[J]. China Safety Science Journal, 31(8): 62−68 (in Chinese with English abstract).
[20]	Xi Xi, Ding Zan, Ye Runqing, Niu Ruiqing. 2021. Evaluation of geological environment carrying capacity of Huangshi city based on FCE−AHP[J]. Journal of Natural Resources, 36(3): 646−658 (in Chinese with English abstract). doi: 10.31497/zrzyxb.20210309
[21]	Xia Riyuan, Lu Haiping, Cao Jianwen, Zhao Liangjie, Wang Zhe, Luan Song. 2022. Characteristics of groundwater resources of karst areas in the Southern China and water resources guarantee countermeasures[J]. Geology in China, 49(4): 1139−1153 (in Chinese with English abstract).
[22]	Yan Xuxian, Wang Junli, Fan Ling, Li Wenchao. 2022. Research on subway flood disaster from the perspective of resilient city—Based on Bow−Tie−Bayesian network model[J]. Journal of Catastrophology, 37(2): 36−43 (in Chinese with English abstract).
[23]	Zhang Bin, Xu Nengxiong. 2019. Current status, trend and revelation of worldwide urban underground space development and utilization[J]. Earth Science Frontiers, 26(3): 48−56 (in Chinese with English abstract).
[24]	Zhang Jie, Li Duo, Zhang Yun, Wei Aihua, Cheng Xin. 2021. Evaluation on the bearing capacity of geological environment based on optimized weights of game theory[J]. Science Technology and Engineering, 21(20): 8360−8365 (in Chinese with English abstract).
[25]	Zhao Dongyue, Chen Changkun, Yi Liang, Lei Peng, Xu Lili. 2022. Research on comprehensive assessment model of urban resilience with multi−factor[J]. Journal of Safety Science and Technology, 18(5): 54−59 (in Chinese with English abstract).
[26]	Zheng Gang, Cheng Xuesong, Zhou Haizuo, Zhang Tianqi, Yu Xiaoxuan, Diao Yu, Wang Ruozhan, Yi Fan, Zhang Wenbin, Guo Wei. 2022. Resilient evaluation and control in geotechnical and underground engineering[J]. China Civil Engineering Journal, 55(7): 1−38 (in Chinese with English abstract).
[27]	Zheng Qiyu, Xia Xiaohe, Li Mingguang, Zhang Yangqing. 2020. Influence of dewatering in confined aquifers on wall deformation and ground settlements in deep excavation[J]. Journal of Shanghai Jiaotong University, 54(10): 1094−1100 (in Chinese with English abstract).
[28]	Zhi Zemin, Chen Qiong, Zhou Qiang, Xia Xingsheng, Liu Fenggui. 2022. Evaluation of geo−environmental carrying capacity of counties along the sichuan-tibet railway based on random forest[J]. Science Technology and Engineering, 22(24): 10451−10460 (in Chinese with English abstract).
[29]	Zhou Yinghao, Wang Wenjie, Lu Xizhou, Wang Kangwei. 2022. Combination weighting prediction model and application of rock burst disaster based on game theory[J]. China Safety Science Journal, 32(7): 105−112 (in Chinese with English abstract).
[30]	邓日朗, 陈凌伟, 蔡俊坚, 詹华炜, 郑先昌. 2022. 基于贡献率模型的崩塌易发性评价——以广州市白云区为例[J]. 水土保持通报, 42(4): 218−226, 381.
[31]	苟德菲. 2020. 广州市S区深层隧道排水系统优化调度运行策略模拟研究[D]. 沈阳: 沈阳建筑大学, 1−130.
[32]	黄亚江, 李书全, 项思思. 2021. 基于AHP−PSO模糊组合赋权法的地铁火灾安全韧性评估[J]. 灾害学, 36(3): 15−20, 40.
[33]	兰韡, 王卫东, 常林越. 2022. 超大规模深基坑工程现场抽水试验及土层变形规律研究[J]. 岩土力学, 43(10): 2898−2910.
[34]	雷升祥, 刘志春, 黄双林, 杜孔泽, 丁正全. 2022. 城市地下空间网络化拓建相关研究进展[J]. 地下空间与工程学报, 18(5): 1424−1440.
[35]	李地元, 莫秋喆. 2015. 新加坡城市地下空间开发利用现状及启示[J]. 科技导报, 33(6): 115−119.
[36]	李华, 王亮, 韩浩东, 杨剑, 王桥, 王东辉, 席振铢, 龙霞, 张伟, 廖国忠. 2020. 红层地区城市地下空间膏盐富集层探测新方法——以成都市国际生物城为例[J]. 中国地质, 47(6): 1793−1803.
[37]	李念春, 张学强, 冯泉霖, 徐秋晓, 李洪涛, 郝杰, 吴迪. 2021. 基于“承载基础−承载现状−承载潜力”模型的山东省地质环境承载力评价[J]. 西北地质, 54(1): 222−231.
[38]	林星涛, 陈湘生, 苏栋, 朱旻, 韩凯航, 陈仁朋. 2022. 考虑多次扰动影响的盾构隧道结构韧性评估方法及其应用[J]. 岩土工程学报, 44(4): 591−601.
[39]	刘兴旺, 李冰河, 陈卫林, 毛海和, 张戈, 孙政波. 2022. 深厚软土6层地下室深大基坑对邻近地铁隧道影响控制技术[J]. 建筑结构, 52(15): 136−141.
[40]	潘宗源, 蒋小珍, 戴建玲, 管振德, 吴远斌. 2017. 岩溶矿床疏干区地下水位恢复对岩溶塌陷作用机制的研究——以湖南宁乡大成桥为例[J]. 中国岩溶, 36(6): 786−794.
[41]	孙钧. 2019. 国内外城市地下空间资源开发利用的发展和问题[J]. 隧道建设(中英文), 39(5): 699−709.
[42]	万汉斌. 2013. 城市高密度地区地下空间开发策略研究[D]. 天津: 天津大学, 1−307.
[43]	魏强, 刘加奇, 王景春, 王鹏. 2021. 基于理想模糊物元的隧道施工安全韧性评估[J]. 中国安全科学学报, 31(8): 62−68.
[44]	席茜, 丁赞, 叶润青, 牛瑞卿. 2021. 基于FCE-AHP的黄石市地质环境承载力评价[J]. 自然资源学报, 36(3): 646−658.
[45]	夏日元, 卢海平, 曹建文, 赵良杰, 王喆, 栾崧. 2022. 南方岩溶区地下水资源特征与水资源保障对策[J]. 中国地质, 49(4): 1139−1153.
[46]	闫绪娴, 王俊丽, 范玲, 李文超. 2022. 韧性城市视角下地铁洪涝灾害风险分析——基于Bow1−Tie—贝叶斯网络模型[J]. 灾害学, 37(2): 36−43.
[47]	张彬, 徐能雄, 戴春森. 2019. 国际城市地下空间开发利用现状、趋势与启示[J]. 地学前缘, 26(3): 48−56.
[48]	张杰, 李铎, 张赟, 魏爱华, 程鑫. 2021. 基于博弈论优化权重的地质环境承载力评价[J]. 科学技术与工程, 21(20): 8360−8365.
[49]	赵冬月, 陈长坤, 易亮, 雷鹏, 许丽丽. 2022. 城市韧性多因素综合评估模型研究[J]. 中国安全生产科学技术, 18(5): 54−59.
[50]	郑刚, 程雪松, 周海祚, 张天奇, 于晓旋, 刁钰, 王若展, 衣凡, 张文彬, 郭伟. 2022. 岩土与地下工程结构韧性评价与控制[J]. 土木工程学报, 55(7): 1−38.
[51]	郑启宇, 夏小和, 李明广, 张扬清. 2020. 深基坑降承压水对墙体变形和地表沉降的影响[J]. 上海交通大学学报, 54(10): 1094−1100.
[52]	支泽民, 陈琼, 周强, 夏兴生, 刘峰贵. 2022. 基于随机森林的川藏铁路沿线县域地质环境承载力评价[J]. 科学技术与工程, 22(24): 10451−10460.
[53]	周英豪, 王文杰, 卢西洲, 王康伟. 2022. 岩爆灾害博弈论组合赋权预测模型及应用[J]. 中国安全科学学报, 32(7): 105−112.

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