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Evolution of runoff discharge patterns and risk assessment of water inrush in mountainous railroad tunnels

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Abstract

Mountain railroad tunnels often need to cross deep and large active fracture zones during construction and tunnel site areas can be crisscrossed with underground water systems that carry huge volumes of water. The risk of sudden water inrush during the construction of mountain railroad tunnels is high, and uncontrolled inrush water runoff can negatively impact the tunnel site area. Therefore, risk assessments and prevention of inrush related surface runoff damage is key to reducing the ecological impact of tunnel construction. In this paper, the inrush water runoff of a typical mountainous railroad tunnel in the southwest of China was taken as the research object and the hydrological model and hierarchical analysis (AHP) were used to build a comprehensive risk assessment algorithm for surface runoff. Then the risk level of each section of the runoff channel was assessed under different flow scenarios and different inrush water runoff environmental risk prevention measures were proposed.

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The data used in this research were extracted from Landsat 8 OLI satellite images (Glovis.usgs.gov).

References

  • Abebe Y, Kabir G, Tesfamariam S (2018) Assessing urban areas vulnerability to pluvial flooding using GIS applications and bayesian belief network model. J Clean Prod 174:1629–1641

    Article  Google Scholar 

  • Alexander DE (2014) Social media in disaster risk reduction and crisis management. Sci Eng Ethics 20:717–733

    Article  Google Scholar 

  • Bouamrane A, Bouamrane A, Abida H (2021) Water erosion hazard distribution under a semi-arid climate condition: case of mellah watershed. North-East Alg Geod 403:115381

    Google Scholar 

  • Cai Q et al (2020) Risk assessment of tunnel collapse during shield tunneling in karst areas: a case study of the rongjiawan tunnel in china. Geotech Geol Eng 38(6):5797–5812

    Google Scholar 

  • Chen J et al (2020) Assessment of the ecological carrying capacity of high-speed railways in mountainous areas: A case study of the chongqing-guiyang high-speed railway in china. Nat Hazards 104(3):2911–2927

    Google Scholar 

  • Chen YH, Cheng S, Li LP et al (2021) Applicability analysis of microseismic technology in tunnel water inrush monitoring. KSCE J Civil Eng 1–11

  • Deng Z, Dai L, Deng B et al (2021) Evaluation and spatial-temporal evolution of water resources carrying capacity in Dongting Lake Basin. J Water Clim Change 12(5):2125–2135

    Article  Google Scholar 

  • Gao CL, Zhou ZQ, Yang WM et al (2019) Model test and numerical simulation research of water leakage in operating tunnels passing through intersecting faults. Tunn under Space Tech 94:103134

    Article  Google Scholar 

  • Gumindoga W, Rwasoka DT, Nhapi I, et al (2017) Ungauged runoff simulation in Upper Manyame Catchment, Zimbabwe: Application of the HEC-HMS model. Physics and Chemistry of the Earth, Parts A/B/C.

  • Johnson RP, Swallow FE, Psomas S (2016) Structural properties and durability of a sprayed waterproofing membrane for tunnels. Tunn under Space Tech 60:41–48

    Article  Google Scholar 

  • Krvavica N, Rubini J (2020) Evaluation of design storms and critical rainfall durations for flood prediction in partially urbanized catchments. Water 12(7):2044

    Article  Google Scholar 

  • Li J, Hong A, Yuan D et al (2020) A new distributed karst-tunnel hydrological model and tunnel hydrological effect simulations. J Hydrol 593:125639

    Article  Google Scholar 

  • Lin CJ, Zhang M, Zhou ZQ et al (2019) A new quantitative method for risk assessment of water inrush in karst tunnels based on variable weight function and improved cloud model. Tunn Undergr Space Technol 95:103136

    Article  Google Scholar 

  • Lyu HM, Zhou WH, Shen SL et al (2020) Inundation risk assessment of metro system using AHP and TFN-AHP in Shenzhen. Sustain Cities Soc 56:102103

    Article  Google Scholar 

  • Nguyen K, Loi NK, Nguyen D et al (2019) Automated procedure of real-time flood forecasting in Vu Gia - Thu Bon river basin, Vietnam by integrating SWAT and HEC-RAS mode. J Water Clim Change 10:535–545

    Article  Google Scholar 

  • Saaty TL, Kearns KP (1985) The analytic hierarchy process. Anal Planning. https://doi.org/10.1016/B978-0-08-032599-6.50008-8

    Article  Google Scholar 

  • Shrestha MS, Min BG, Khadgi VR et al (2021) The last mile: Flood RISK communication for better preparedness in nepal. Inter Jour of Dis Risk Reduc 56(3):102118

    Google Scholar 

  • Silva BF, Almeida LTD, Vieira EDO et al (2020) Pluviometric and fluviometric trends in association with future projections in areas of conflict for water use. J Environ Manag 271:110991

    Article  Google Scholar 

  • Tran D, Amano R (2021) Flood risk assessment using HEC-RAS and 1D/2D flood inundation modeling. Jour of Flood Risk Manag 14(1):e12718

    Google Scholar 

  • Wang W, Shi KB, Shi Q, Dong HW, Chen M (2020) A normal cloud model-based method for risk assessment of water inrush and its application in a super-long tunnel constructed by a tunnel boring machine in the arid area of northwest china. Water 12(3):644

    Article  Google Scholar 

  • Wang Y, Wu C, Zhang S, Li P (2021) Flood inundation mapping and damage assessment based on the improved HEC-RAS model: A case study of urban flooding in china. Nat Hazards 108(2):1141–1165

    Google Scholar 

  • Wu S et al (2021b) A study of the impacts of high-speed rail on the natural environment and landscape in mountainous areas: a case study in guizhou. China Natur Hazar 108(1):407–428

    Google Scholar 

  • Wu B, Chen H, Huang W et al (2021) Dynamic evaluation method of the EW-AHP attribute identification model for the tunnel gushing water disaster under interval conditions and applications. Math Probl Eng. https://doi.org/10.1155/2021/6661609

    Article  Google Scholar 

  • Xu G, Du J (2021) Research on the development strategy and policy choice of China’s railway transportation under the new situation. Trans Rese Proc 51:2941–2947

    Google Scholar 

  • Xu Q, Chen J, Peart MR et al (2018) Exploration of severities of rainfall and runoff extremes in ungauged catchments: A case study of Lai Chi Wo in Hong Kong, China. Sci Total Env 634:640–649

    Article  CAS  Google Scholar 

  • Zakaria M, Malek MA, Zolkepli M et al (2021) Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River. Malaysia AEJ - Alexan Engin Jour 60(4):4015–4028

    Google Scholar 

  • Zeiger SJ, Hubbart JA (2021) Measuring and modeling event-based environmental flows: An assessment of HEC-RAS 2D rain-on-grid simulations. J Environ Manag 285:112125

    Article  Google Scholar 

  • Zeleňáková M, Fijko R, Labant S et al (2018) Flood risk modelling of the slatvinec stream in Kružlov village, Slovakia. J Cleaner Prod 212:109–118

    Article  Google Scholar 

  • Zhang JF, Wen WZ (2018) High-pressure water-rich fault treatment technology in dazhu mountain tunnel of da rui railway. Mod Tun Tech 55(03):160–166

    Google Scholar 

  • Zhao Y, Liu Y (2022) The impact of railway construction on regional economic development in China: An empirical analysis based on the mediation effect of economic integration. Trans Rese Part a: Policy and Prac 156:213–229

    Google Scholar 

  • Zhou J et al (2021) Stability analysis of a high bridge-pier and deep tunnel excavation crossing the 12,000 m chinese bridge in mountainous area. Geo Geol Eng 39(3):1951–1968

    Google Scholar 

Download references

Acknowledgements

We gratefully acknowledge financial support from the National Natural Science Foundation of China (No. 71942006).

Funding

This research was financially supported by the National Natural Science Foundation of China (No. 71942006), the New Teacher Start-up Plan of Shanghai Jiao Tong University (NO. AF1200050, NO. 23X010502005) and the Research Project of Philosophy and Social Science Planning in Heilongjiang Province (No. 22JYE462).

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Dandan You, Qi Li, Xu Yang, Xin Gao, Saixing Zeng, and Jingxiao Zhang. The first draft of the manuscript was written by Dandan You, and all authors commented on previous versions of the manuscript. All authors have read and approved the final manuscript.

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Correspondence to Dandan You.

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Yang, X., You, D., Gao, X. et al. Evolution of runoff discharge patterns and risk assessment of water inrush in mountainous railroad tunnels. Nat Hazards (2024). https://doi.org/10.1007/s11069-024-06554-9

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