以国内8 条隧道的涌水量原始数据作为研究样本，将其进行分类。运用未确知测度预测方法，选取年降水量、地质-水文地质条件、地表汇流条件及地表水体补给条件4 项主要影响因素作为评价指标，建立了可行的未确知测度模型。经验证，未确知测度预测判别方法的正确率高，可以迅速判别隧道涌水所属的类别，为隧道涌水量的类别判别提供了一种新方法。
The original water gushing data ineight tunnelsin Chinawere collected and classified.The prediction method of unascertained measurewas used to establish afeasible unascertained measurement model. There are many uncertain factors affecting tunnel water inflow, among which annual precipitation, geological and hydrogeological conditions, surface flow conditions and surface water supply conditionsare the most important ones, so they can be used as evaluation indices of the unascertained measurement model. Discrimination and analysis show that the accuracy of the discrimination method is high, which can be usedtoquickly distinguish categories of tunnel water gushing, providinga new way for tunnel water gushingdiscrimination.
[1] 朱大力, 李秋枫. 预测隧道涌水量的方法[J]. 工程勘察, 2000, 4(10): 44-48. Zhu Dali, Li Qiufeng. Forward methods of water flow into tunnels[J]. Geotechnical Investigation & Surveying, 2000, 4(10): 44-48.
[2] 张雷, 赵剑, 张和平. 隧道涌水量预测的计算方法研究[J]. 公路交通技 术, 2007(1): 121-123. Zhang Lei, Zhao Jian, Zhang Heping. Study on calculation method for tunnel seepage prediction[J]. Technology of Highway and Transport, 2007(1): 121-123.
[3] 刘丹, 查坤, 李启彬. 基于模糊类比法的秦岭I线特长隧道涌水量预测[J]. 现代隧道技术, 2005(3): 46-48. Liu Dan, Zha Kun, Li Qibin. Prediction of water inflow into Qinling extra-long tunnel on No.1 line based on fuzzy analogy[J]. Modern Tunnelling Technology, 2005(3): 46-48.
[4] 姬永红, 项彦勇. 水底隧道涌水量预测方法的应用分析[J]. 水文地质 工程地质, 2005, 32(4): 84-87. Ji Yonghong, Xiang Yanyong. An analysis of application of the methods of predicting water influx to under-water tunnels[J]. Hydrogeology & Engineering Geology, 2005, 32(4): 84-87.
[5] 王建秀, 杨立中, 何静. 深埋隧道涌水量数值计算中的试算流量法[J]. 岩石力学与工程学报, 2002, 21(12): 1776-1780. Wang Jianxiu, Yang Lizhong, He Jing. Trial method for simulating tunnel discharge[J]. Chinese Journal of Rock Mechanics and Engineering, 2002, 21(12): 1776-1780.
[6] 王建秀, 朱合华, 叶为民. 隧道涌水量的预测及其工程应用[J]. 岩石力 学与工程学报, 2004, 23(7): 1150-1153. Wang Jianxiu, Zhu Hehua, Ye Weimin. Forward and inverse analyses of water flow into tunnels[J]. Chinese Journal of Rock Mechanics and Engineering, 2004, 23(7): 1150-1153.
[7] 杜敏铭, 邓英尔, 许模. 矿井涌水量预测方法综述[J]. 四川地质学报, 2009, 29(1): 70-73. Du Minming, Deng Ying'er, Xu Mo. Review of methodology for prediction of water yield of mine[J]. Acta Geologica Sichuan, 2009, 29 (1): 70-73.
[8] 王光远. 论未确知性信息及其数学处理[J]. 哈尔滨建筑工程学院学 报, 1990, 23(4): 52-58. Wang Guangyuan. Unascertained information and its mathematical treatment[J]. Journal of Harbin Architecture and Engineering Institute, 1990, 23(4): 52-58.
[9] 万玉成. 未确知性在预测与决策问题中的应用[D]. 南京: 东南大学, 2004, 22-271. Wan Yucheng. Research on the methods and applications of forecasting and decision making based on unascertainty[D]. Nanjing: Southeast University, 2004, 22-271.
[10] 赵国彦, 吴浩. 未确知聚类方法及其在松动圈厚度预测中的应用[J]. 科技导报, 2013, 31(2): 50-55. Zhao Guoyan, Wu Hao. Application of unascertained clustering method in the thickness prediction of excavation damaged zone[J]. Science & Technology Review, 2013, 31(2): 50-55.
[11] 董陇军, 李夕兵, 宫凤强. 地下开采引发地面沉陷的未确知聚类预测 方法[J]. 中国地质灾害与防治学报, 2008, 19(2): 95-99. Dong Longjun, Li Xibing, Gong Fengqiang. Predicting surface subsidence induced by mining based on unascertained clustering method[J]. Chinese Journal of Geological Hazard and Control, 2008, 19 (2): 95-99.
[12] 曹庆奎, 刘开展, 张博文. 用熵计算客观型指标权重的方法[J]. 河北 建筑科技学院学报, 2000, 17(3): 40-42. Cao Qingkui, Liu Kaizhan, Zhang Bowen. Calculation method of objective index weight by entropy[J]. Journal of Hebei Institute of Architectural Science and Technology, 2000, 17(3): 40-42.
[13] 刘丹, 李启斌. 秦岭特长隧道涌水量的预测研究[J]. 煤田地质与勘 探, 2005, 33(1): 41-43. Liu Dan, Li Qibin. A study on prediction of water inflow into Qinling tunnel[J]. Coal Geology & Exploration, 2005, 33(1): 41-43.
[14] 田海涛, 董益华, 王延辉. 隧道涌水量预测的研究[J]. 水利与建筑工 程学报, 2007, 5(3): 75-78. Tian Haitao, Dong Yihua, Wang Yanhui. Study on forecasting for water-gushed yeild of tunnel[J]. Journal of Water Resources and Architectural Engineering, 2007, 5(3): 75-78.
