Abstract: Aiming at the water inrush disaster that was easy to occur during tunnel construction, the internal law of tunnel water inrush was analyzed through the statistics cases of tunnel water inrush. The water inflow in tunnels during construction was predicted by using the methods of long short-term memory neural network(LSTM), Elman neural network and multiple linear regression based on partial least square respectively, and compared with the actual water inflow, then the optimal method for predicting the tunnel water inflow was obtained. The results showed that water inrush accidents were more likely to occur in shallow-buried, long tunnels and extra-long tunnels, and in fault, karst and soluble rock strata. By comparing the prediction results of three different models with the water inflow during tunnel construction, the LSTM model had higher accuracy in predicting the water inflow in tunnels during construction.
周彩贵, 李景, 梁庆国, 陈克霖. 水工引水隧洞施工涌水量预测方法对比[J]. 隧道与地下工程灾害防治, 2023, 5(1): 32-44.
ZHOU Caigui, LI Jing, LIANG Qingguo, CHEN Kelin. Comparison of water inflow prediction methods of hydraulic diversion tunnels during construction. Hazard Control in Tunnelling and Underground Engineering, 2023, 5(1): 32-44.
[1] 洪开荣. 我国隧道及地下工程近两年的发展与展望[J]. 隧道建设, 2017, 37(2): 123-134. HONG Kairong. Development and prospects of tunnels and underground works in China in recent two years[J]. Tunnel Construction, 2017, 37(2): 123-134. [2] 王浩,马静,刘宇,等. 172项重大水利工程建设的社会经济影响初评[J]. 中国水利, 2015(12): 1-4. WANG Hao, MA Jing, LIU Yu, et al. Preliminary assessment of social and economic impact in construction of 172 key water resources projects[J]. China Water Resources, 2015(12): 1-4. [3] 毛正君. 脆弱生态区隧道群施工期地下水运移特征及环境效应研究[D]. 西安: 长安大学, 2013. MAO Zhengjun. Study on characteristics of groundwater transport and its environment effect during constructing tunnel group in fragile ecology region[D]. Xi'an: Changan University, 2013. [4] 石少帅. 深长隧道充填型致灾构造渗透失稳突涌水机理与风险控制及工程应用[D]. 济南: 山东大学, 2014. SHI Shaoshuai. Study on seepage failure mechanisim and risk control of water inrush induced by filled disaster structure in deep-long tunnel and engineering applications[D]. Jinan: Shandong University, 2014. [5] 苏培东,赵熠,邱鹏,等.花岗岩蚀变带隧道涌水量预测研究 [J/OL]. 地下空间与工程学报.[2022-03-06]. https://kns.cnki.net/kcms/detail/50.1169.TU.20220302.1338.006.html. SU Peidong, ZHAO Yi, QIU Peng, et al. Prediction of tunnel water inrush volume in granite alteration zone[J/OL]. Journal of Underground Space and Engineering[2022-03-06]. https://kns.cnki.net/kcms/detail/50.1169.TU.20220302.1338.006.htm. [6] 傅鹤林,安鹏涛,李凯,等.隧道掌子面附近涌水量预测研究[J]. 铁道工程学报, 2021, 38(9): 41-47. FU Helin, AN Pengtao, LI Kai, et al. Research on the prediction of water inflow near tunnel face[J]. Journal of Railway Engineering Society, 2021, 38(9): 41-47. [7] 万豪杰,赵骏,张松松,等.永顺隧道岩溶涌水风险性评价及地下水流量衰减过程分析[J]. 安全与环境工程, 2019, 26(5): 1-7. WAN Haojie, ZHAO Jun, ZHANG Songsong, et al. Analysis of water flow and risk assessment of Karst water gushing in Yongshun tunnel[J]. Safety and Environmental Engineering, 2019, 26(5): 1-7. [8] 王健华,李术才,李利平,等. 隧道岩溶管道型突涌水动态演化特征及涌水量综合预测[J]. 岩土工程学报, 2018, 40(10): 1880-1888. WANG Jianhua, LI Shucai, LI Liping, et al. Dynamic evolution characteristics and prediction of water inflow of Karst piping-type water inrush of tunnels[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(10): 1880-1888. [9] 刘建, 刘丹. 利用BP神经网络模型动态预测隧道涌水量: 以铜锣山隧道为例[J]. 现代隧道技术, 2012, 49(3): 62-66. LIU Jian, LIU Dan. Dynamic predication of tunnel water inflow based on BP neural network: a case study of the Tongluoshan Tunnel[J]. Modern Tunnelling Technology, 2012, 49(3): 62-66. [10] ZHOU J Q, LIU H B, LI C D, et al. A semi-empirical model for water inflow into a tunnel in fractured-rock aquifers considering non-darcian flow[J]. Journal of Hydrology, 2021, 597:126149. [11] LI S C, HE P, LI L P, et al. Gaussian process model of water inflow prediction in tunnel construction and its engineering applications[J]. Tunnelling and Underground Space Technology, 2017, 69(10): 155-161. [12] 许振浩,李术才,李利平,等. 一种典型的岩溶隧道衬砌压裂突水灾害成因与防治[J]. 岩石力学与工程学报, 2011, 30(7): 1396-1404. XU Zhenhao, LI Shucai, LI Liping, et al. Cause, disaster prevention and controlling of a typical kind of water inrush and lining fracturing in Karst tunnels[J]. Chinese Journal of Rock Mechanics and Engineering, 2011, 30(7): 1396-1404. [13] 张小华,刘清文. 武隆隧道暗河突水特点与整治技术分析[J]. 现代隧道技术, 2005, 42(3): 59-64. [14] 蒋良文,易勇进,杨翔,等. 渝怀铁路圆梁山隧道桐麻岭背斜东翼岩溶涌水突泥灾害与整治方案比选[J]. 地球科学进展, 2004, 19(增刊1): 340-345. JIANG Liangwen, YI Yongjin, YANG Xiang, et al. The calamity of the water and mud-rock pouring up from Karst and the choosing of the renovate schemes at east wing of the dongmaling anticline in the Yuanliangshan Yuhuai Railroad Tunnel[J]. Advance in Earth Sciences, 2004, 19(Suppl.1): 340-345. [15] 蒋良文,易勇进,贾中明. 圆梁山隧道毛坝向斜深埋大型充填溶洞及其形成机制分析[J]. 铁道工程学报, 2007, 24(4): 53-60. JIANG Liangwen, YI Yongjin, JIA Zhongming. Research on characteristics and formation mechanism of great deep buried infilled caves at maoba syncline in the Yuanliangshan railway tunnel[J]. Journal of Railway Engineering Society, 2007, 24(4): 53-60. [16] 鲜国,石少帅,赵勇,等. 强富水隧道下穿河段突涌水灾害综合防控方法研究与应用[J]. 隧道与地下工程灾害防治, 2019, 1(2): 74-82. XIAN Guo, SHI Shaoshuai, ZHAO Yong, et al.Research and application of comprehensive prevention and control method for water inrush in water enriched under-crossing river tunnel[J]. Hazard Control in Tunnelling and Underground Engineering, 2019, 1(2): 74-82. [17] 代峪. 云雾山隧道岩溶灾害综合预防技术及其应用[J]. 公路交通技术, 2016, 32(4): 124-127. DAI Yu. Preventive technology and application for Karst disaster in Yunwu Mt. Tunnel[J]. Technology of Highway and Transport, 2016, 32(4): 124-127. [18] 张朋. 云雾山隧道浅埋岩溶段地质灾害研究[D]. 重庆: 重庆大学, 2007. ZHANG Peng. Research on geological disaster of Yunwushan Tunnel shallow and Karst section[D]. Chongqing: Chongqing University, 2007. [19] 傅立新,熊建军. 小陂流隧道涌泥分析及处理[J]. 公路工程, 2008, 33(6): 104-106. FU Lixin, XIONG Jianjun. Analysis and treatment of Xiaopiliu Tunnel pouring mud[J]. Highway Engineering, 2008, 33(6): 104-106. [20] 陈花顺. 宝兰客专马鞍梁隧道下穿沟谷浅埋段施工方案研究[J]. 铁道建筑, 2016, 56(12): 46-48. CHEN Huashun. Study on construction scheme of shallow-buried section passing under valley of ma'anliang tunnel on Baoji-Lanzhou passenger dedicated railway[J]. Railway Engineering, 2016, 56(12): 46-48. [21] 陈振喜,程翔.天池隧道突水、突泥段地质分析研究[J]. 中国水运(下半月), 2008, 8(9): 237-238. [22] 张羽军. 湘桂铁路山乾隧道岩溶涌水涌泥原因分析及治理措施[J]. 铁道建筑, 2019, 59(2): 89-93. ZHANG Yujun. Cause analysis of water and mud gushing and treatment measures in Shanqian Karst Tunnel of Hunan-Guangxi Railway[J]. Railway Engineering, 2019, 59(2): 89-93. [23] 李扬红,邓英尔,于静, 等. 五指山隧道岩溶发育及涌水的特征研究[J]. 水土保持研究, 2009, 16(2): 138-141. LI Yanghong, DENG Yinger, YU Jing, et al. Study on characteristics of development of Karst and gushingin Wuzhi Mountain Tunnel[J]. Research of Soil and Water Conservation, 2009, 16(2): 138-141. [24] 邱晓静. 京源口隧道突水涌泥地段综合处治技术[J]. 西部交通科技, 2007(2): 53-57. QIU Xiaojing. Comprehensive treating technique for water bursting and mud surging section in jingyuankou Tunnel[J]. Western China Communications Science & Technology, 2007(2): 53-57. [25] 曾桅栋, 李海清. 回弄山隧道灾害性涌水突泥的原因分析与对策研究[J]. 公路, 2008, 53(3): 217-221. [26] 田珂. 中坝岩溶隧道突水突泥施工处治技术研究[D]. 成都: 西南交通大学, 2018. TIAN Ke. Study on construction technology of water-mud-inrush in Karst Tunnel of Zhongba Project[D]. Chengdu: Southwest Jiaotong University, 2018. [27] 王伟, 苗德海. 宜万铁路齐岳山隧道F11高压富水断层特征及工程对策[J]. 铁道标准设计, 2010, 54(8): 81-86. [28] 杨健, 胡平, 朱岩, 等. 沉砂池在包家山特长隧道涌水治理中的应用[J]. 隧道建设, 2010, 30(增刊1): 481-485. YANG Jian, HU Ping, ZHU Yan, et al. Application of sand sediment tank in gushing water treatment during construction of extra-long Baojiashan Tunnel[J]. Tunnel Construction, 2010, 30(Suppl.1): 481-485. [29] 孙臣生. 康家楼隧道突水突泥原因分析与处治措施[J]. 山西交通科技, 2013(5): 51-53. SUN Chensheng. The cause analysis and treatment measures of water and mud bursting for Kangjialou Tunnel[J]. Shanxi Science & Technology of Communications, 2013(5): 51-53. [30] 刘建国, 刘义立. 华蓥山隧道特大涌水突泥的综合治理[J]. 公路, 2003, 48(10): 25-29. [31] 颜志伟. 象山隧道岩溶突水涌泥原因分析及处理措施[J]. 铁道标准设计, 2012, 56(7): 98-102. YAN Zhiwei. Cause analysis and treatment measures on water bursting and mud gushing of Karst in Xiangshan Tunnel[J]. Railway Standard Design, 2012, 56(7): 98-102. [32] 南晓宇. 大路梁子隧道涌水处理施工技术[J]. 山西建筑, 2007, 33(1): 290-291. NAN Xiaoyu. Construction technology for water flush accident treatment in Daluliangzi Tunnel[J]. Shanxi Architecture, 2007, 33(1): 290-291. [33] 齐甦, 何金星, 王立英, 等. 兰渝铁路杨家坝隧道穿越泥石流沟施工技术[J]. 施工技术, 2012, 41(11): 91-95. QI Su, HE Jinxing, WANG Liying, et al. Construction technology of debris flow gully in Yangjiaba Tunnel on Lanzhou-Chongqing Railroad[J]. Construction Technology, 2012, 41(11): 91-95. [34] 孙立功.花果山隧道断层带施工技术[J].路基工程,2006(5):132-134. [35] 张民庆, 黄鸿健, 殷怀连, 等. 宜万铁路别岩槽隧道F3断层突发性涌水治理[J]. 现代隧道技术, 2006, 43(2): 68-71. ZHANG Minqing, HUANG Hongjian, YIN Huailian, et al. Water outburst treatment at fault F3 in Bieyancao Tunnel on Yiwan Railway[J]. Modern Tunnelling Technology, 2006, 43(2): 68-71. [36] 孙伟亮. 棋盘石隧道溶洞突水成因分析及技术处理措施[J]. 铁道建筑, 2010, 50(10): 54-56. [37] 顾义磊, 李晓红, 杜云贵, 等. 通渝隧道K21+780涌水突泥段的治理[J]. 地下空间与工程学报, 2005, 1(5): 742-745. GU Yilei, LI Xiaohong, DU Yungui, et al. Treatment of the mud break out from wall rock at K21+780 in Tong-yu Tunnel[J]. Chinese Journal of Underground Space and Engineering, 2005, 1(5): 742-745. [38] 韩海军, 许崇帮. 长拉山隧道突水事故原因分析及工程对策[J]. 公路交通科技(应用技术版), 2013, 9(8): 181-182. [39] 李凌志.秦岭特长隧洞下穿椒溪河设计与施工关键技术[J].铁道建筑,2015(4):81-84. [40] 曹放, 蒲超, 方兴, 等. 米仓山隧道涌突水综合预测研究[J]. 人民珠江, 2017, 38(3): 17-20. CAO Fang, PU Chao, FANG Xing, et al. Research on the comprehensive prediction of water inrush in Micangshan Tunnel[J]. Pearl River, 2017, 38(3): 17-20. [41] 吴发展. 鹰嘴岩隧道进口岩溶涌水原因分析及治理[J]. 施工技术, 2008, 37(增刊2): 252-254. WU Fazhan. Analysis and management on Karst imports pick Yingzuiyan Tunnel water[J]. Construction Technology, 2008, 37(Suppl.2): 252-254. [42] 林志平. 隧道突泥涌砂灾害处置措施的案例研究[J]. 公路, 2016, 61(2): 225-229. LIN Zhiping. Study of treatment measures for rock tunnel with inrush mud and sand gushing disaster[J]. Highway, 2016, 61(2): 225-229. [43] 刘应龙. 宝兴水电站引水隧洞涌水塌方段涌水塌方机制及围岩稳定性研究[D]. 成都: 成都理工大学, 2009. LIU Yinglong. The research on tunnel gushing and collapse mechanism and stability of surrounding rock in the gushing and collapse section of hydraulic tunnel of Baoxing Hydropower Station[D]. Chengdu: Chengdu University of Technology, 2009. [44] 何伟, 朱国金, 李云. 大公山隧洞潘所海段岩溶工程地质问题及应对措施[J]. 人民长江, 2013, 44(12): 41-43. HE Wei, ZHU Guojin, LI Yun. Karst development law of Pansuohai Section of Dagongshan Tunnel and counter measures[J]. Yangtze River, 2013, 44(12): 41-43. [45] 陈其学, 江勇顺, 唐浩. 飞仙关特长隧道高压涌突水形成机制及处治技术研究[J]. 现代隧道技术, 2016, 53(4): 143-147. CHEN Qixue, JIANG Yongshun, TANG Hao. Formation and treatment of the high-pressure water inflow in the extra-long Feixianguan Tunnel[J]. Modern Tunnelling Technology, 2016, 53(4): 143-147. [46] 毕焕军. 大梁隧道突水突石机理分析及处理措施研究[J]. 铁道工程学报, 2015, 32(2): 82-85. BI Huanjun. Mechanism analysis and treatments of water and stone inrush in Daliang Tunnel[J]. Journal of Railway Engineering Society, 2015, 32(2): 82-85. [47] 赵雍. 赛里木湖隧道涌水分析及处理[J]. 隧道建设, 2008, 28(5): 609-612. ZHAO Yong. Analysis and treatment of water gushing in Sailimu Lake Tunnel[J]. Tunnel Construction, 2008, 28(5): 609-612. [48] 刘海京, 黄伦海, 张学强, 等. 平阳隧道突泥涌水灾害处治设计与施工[J]. 公路交通技术, 2011, 27(6): 93-98. LIU Haijing, HUANG Lunhai, ZHANG Xueqiang, et al. Design and construction of treatment to mud gushing and water bursting disasters in Pingyang Tunnel[J]. Technology of Highway and Transport, 2011, 27(6): 93-98. [49] 张振国. 成兰铁路茂县隧道突涌水机理分析及治理措施[J]. 科技创新导报, 2016, 13(36): 69-72. [50] 阳习丰. 浏阳河隧道过河段设计关键技术 [J]. 铁道标准设计, 2008(4): 87-90. [51] 龙奎. 重庆中梁山歇马隧道非稳定涌水量解析计算[J]. 地下空间与工程学报, 2016, 12(增刊2): 815-820. LONG Kui. Analytical solution of transient discharge into the Xiema Tunnel of Zhongliang Mountain in Chongqing[J]. Chinese Journal of Underground Space and Engineering, 2016, 12(Suppl.2): 815-820. [52] 王双龙. 八卦山隧道突水突泥段处理技术[J]. 山西交通科技, 2009(2): 54-57. WANG Shuanglong. The treatment technique of sudden water and mud for the Eight Diagrams Mountain Tunnel[J]. Shanxi Science & Technology of Communications, 2009(2): 54-57. [53] 谭天鲲. 新寨隧道岩溶水的工程地质特征[J]. 隧道建设, 2000(2): 25-31. [54] 王金兴.浅埋暗挖岩溶富水隧道下穿河流施工技术[J].工程机械与维修,2020(6):106-107. [55] 周森. 坛厂隧道岩溶涌水涌泥综合治理[J]. 贵州工业大学学报(自然科学版), 2008, 37(6): 162-165. ZHOU Sen. Comprehensive treatment for gushing water and projecting mud of Karst region in Tanchang Tunnel[J]. Journal of Guizhou University of Technology(Natural Science Edition), 2008, 37(6): 162-165. [56] 徐济川, 黄少霞. 大瑶山隧道的突泥涌水机制[J]. 铁道工程学报, 1996(2):83-89. XU Jichuan, HUANG Shaoxia. Mechanism of burst mud and spring water of the Dayaoshan Tunnel[J]. Journal of Railway Engineering Society, 1996(2):83-89. [57] 李伟泉, 陈晓洪, 肖云伟,等. 牛栏江-滇池补水工程大五山隧洞过老河床段施工[J].云南水力发电, 2015, 31(2): 46-48. [58] 陈扬勇, 肖了林, 徐林生. 施家梁隧道K44+090岩溶水处治设计[J]. 公路交通技术, 2009(增刊1): 133-138. CHEN Yangyong, XIAO Lelin, XU Linsheng. Design for treatment of Karst water in segment K44+090 of Shijialiang Tunnel[J]. Technology of Highway and Transport, 2009, 25(Suppl.1): 133-138. [59] 宋朋超, 孙星亮. 浅埋岩溶隧道下穿河流段施工技术[J]. 铁道建筑, 2016, 56(8): 83-85. SONG Pengchao, SUN Xingliang. Construction technology of shallow-buried Karst tunnel driving under river[J]. Railway Engineering, 2016, 56(8): 83-85. [60] 胡文学, 杨雁. 瑶寨隧道突水突泥原因分析与处治[J]. 西部交通科技, 2013(10): 39-42. HU Wenxue, YANG Yan. Cause analysis and treatment of Yaozhai Tunnel mud outburst[J].Western China Communications Science & Technology, 2013(10): 39-42. [61] 易震宇, 陈骅伟, 王璞. 寒岭界隧道特大涌水处治工程措施探讨[J]. 公路工程, 2014, 39(1): 184-186. YI Zhenyu, CHEN Huawei, WANG Pu. Discussion of super-large water treatment engineering measures of Hanlinjie Tunnel[J]. Highway Engineering, 2014, 39(1):184-186. [62] 刘钦,李术才,李煜航,等.龙潭隧道F2断层处涌水突泥机理及治理研究[J]. 地下空间与工程学报, 2013, 9(6): 1419-1426. LIU Qin, LI Shucai, LI Yuhang, et al. Study on mechanism and treatment of gushing water and burst mud at F2 fault in Longtan Tunnel[J]. Chinese Journal of Underground Space and Engineering, 2013, 9(6): 1419-1426. [63] 金新锋, 夏日元, 梁彬. 宜万铁路马鹿箐隧道岩溶突水来源分析[J]. 水文地质工程地质, 2007(2): 71-74. JIN Xinfeng, XIA Riyuan, LIANG Bin. Analysis of bursting water source of Maluqing Tunnel, Yichang-Wanzhou Railway[J]. Hydrogeology & Engineering Geology, 2007(2): 71-74. [64] 李鸣冲. 宜万铁路马鹿箐隧道“+978”溶洞处理技术研究[J]. 铁道建筑技术, 2012(2): 30-33. LI Mingchong. Study on processing technology for “+978” Cave in Malujing Tunnel on Yichang-Wanzhou Railway[J]. Railway Construction Technology, 2012(2): 30-33. [65] 中华人民共和国水利部.水利水电工程地质勘察规范: GB 50487—2008[S]. 北京: 中国计划出版社, 2009. [66] 中铁二院工程集团有限公司.铁路隧道设计规范: TB 1003—2016[S]. 北京:中国铁道出版社有限公司,2017. [67] 孙虹洁, 赵振华, 黄林显, 等.多变量LSTM神经网络模型在地下水位预测中的应用[J].人民黄河, 2022, 44(8): 69-75. SUN Hongjie, ZHAO Zhenhua, HUANG Linxian, et al. Application of multi-variable LSTM neural network model for groundwater levels prediction[J]. Yellow River, 2022, 44(8): 69-75. [68] 王艺霖, 靳燕国, 陈晓楠, 等. LSTM神经网络和量纲分析法在弧形闸门过流计算中的对比[J]. 南水北调与水利科技(中英文), 2022, 20(3): 590-599. WANG Yilin, JIN Yanguo, CHEN Xiaonan, et al. Comparison between LSTM neural network and dimensional analysis method in discharge calculation of arc gates[J]. South-to-North Water Transfers and Water Science & Technology, 2022, 20(3): 590-599. [69] HOCHREITER S, SCHMIDHUBER J. Long short-term memory[J]. Neural Computation, 1997, 9(8): 1735-1780. [70] MEYE S M, SHEN Z Z. Comparative analysis of tunnel seepage field under different waterproof and drainage system using analytical methods[J]. Engineering, 2020,12(6):401-423. [71] 陆洪涛. 偏最小二乘回归数学模型及其算法研究[D]. 北京: 华北电力大学, 2014. LU Hongtao. Partial least squares regression models and algorithms research[D]. Beijing: North China Electric Power University, 2014. [72] MAHMOODZADEH A, MOHAMMADI M, M GHARRIB NOORI K, et al. Presenting the best prediction model of water inflow into drill and blast tunnels among several machine learning techniques[J].Automation in Construction, 2021, 127: 103719. [73] LIU X X, SHEN S L, XU Y S, et al. Analytical approach for time-dependent groundwater inflow into shield tunnel face in confined aquifer[J]. International Journal for Numerical and Analytical Methods in Geomechanics, 2018, 42(4): 655-673. [74] 张庆松, 李术才, 韩宏伟, 等. 岩溶隧道施工风险评价与突水灾害防治技术研究[J]. 山东大学学报(工学版), 2009, 39(3): 106-110. ZHANG Qingsong, LI Shucai, HAN Hongwei, et al. Study on risk evaluation and water inrush disaster preventing technology during construction of Karst tunnels[J]. Journal of Shandong University(Engineering Science), 2009, 39(3): 106-110. [75] 杨卓, 马超. 基于BP神经网络方法的岩溶隧道突涌水风险预测[J]. 隧道建设, 2016, 36(11): 1337-1342. YANG Zhuo, MA Chao. Risk prediction of water inrush of Karst tunnels based on BP neural network[J]. Tunnel Construction, 2016, 36(11): 1337-1342. [76] 周波,郑伟,牛军平,等.盈盛煤业9#煤层坚硬顶板岩层RQD工程分级研究[J].煤炭技术,2021,40(7):60-62. [77] VERBRUGGE J C, SCHROEDER C. Geotechnical correlations for soils and rocks[M]. New York, USA:John Wiley & Sons, Inc., 2018. [78] ZHANG L Y. Engineering properties of rocks[M]. Amsterdam, Netherlands: Elsevier Science Ltd, 2006.
2023, Vol. 5 
