Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Rockfall threat assessment along railways in carbonate rocks in Croatia

  • Review Paper
  • Published:
Bulletin of Engineering Geology and the Environment Aims and scope Submit manuscript

Abstract

This paper presents a methodology for estimating rockfall threats in carbonate rock cuts along railways in Croatia. The assessment is based on the Rockfall Hazard Rating System (RHRS). In general, the RHRS versions developed for Tennessee and Colorado are combined and modified to comply with Croatian carbonate rock mass properties, specific geological environments and values measured in the investigation area. The modifications are related to the classification parameters and corresponding adjustments of their classes. The exponential scoring of parameter classes is retained, but the calculation of final rockfall threat classes is modified. The proposed methodology is developed and applied to 366 cut segments along railways with a total length of 74.888 km. All rock cuts are located in the Dinaric karst area of Croatia, where carbonate rocks are locally susceptible to rockfalls, which mostly include sliding, toppling and ravelling. Rockfall threat is calculated for each cut segment with 15 different scoring models. The optimal scoring model is chosen according to the verification results. The verification is based on three different verification parameters: preliminary rockfall threat assessment, rockfall scars and cut stability, which are defined by the Regional Maintenance Administration of Croatian Railways. An ordinal logistic regression is performed to determine the threshold values for each rockfall threat class. The established methodology is used to detect the most vulnerable railway sections, which are selected for detailed inspection and reclamation. The research also enables a proactive approach of rockfall management along linear infrastructure in Croatia but also worldwide in similar geological environments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  • Agresti A (2002) An introduction to categorical data analysis, 2nd edn. Wiley, New York

    Book  Google Scholar 

  • Allison P (2012) Logistic regression using SAS: theory and application, 2nd edn. SAS Institute Inc., North Carolina

    Google Scholar 

  • Andrianopoulos A, Saroglou H, Tsiambaos G (2013) Rockfall hazard and risk assessment of road slopes. Bull Geol Soc Greece 47(4):1664–1673. https://doi.org/10.12681/bgsg.11031

    Article  Google Scholar 

  • Ansari MK, Ahmad M, Singh R, Singh TN (2016) Rockfall Hazard Rating System along SH-72: a case study of Poladpur–Mahabaleshwar road (Western India), Maharashtra, India. Geomat Nat Hazards Risk 7(2):649–666. https://doi.org/10.1080/19475705.2014.1003416

    Article  Google Scholar 

  • Arbanas Ž, Grošić M, Udovič D, Mihalić S (2012) Rockfall hazard analyses and rockfall protection along the Adriatic Coast of Croatia. J Civ Eng Arch 6(3):344–355. https://doi.org/10.17265/1934-7359/2012.03.008

    Article  Google Scholar 

  • Bieniawski ZT (1989) Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil and petroleum engineering. Wiley, New York

    Google Scholar 

  • Bostjančić I (2016) Development of rockfall threat assessment system along railways in carbonate rocks in the Republic of Croatia. Dissertation, University of Zagreb (in Croatian)

  • Budetta P (2004) Assessment of rockfall risk along roads. Nat Hazards Earth Syst Sci 4:71–81. https://doi.org/10.5194/nhess-4-71-2004

    Article  Google Scholar 

  • Budetta P, Nappi M (2013) Comparison between qualitative rockfall risk rating systems for a road affected by high traffic intensity. Nat Hazards Earth Syst Sci 13:1643–1653. https://doi.org/10.5194/nhess-13-1643-2013

    Article  Google Scholar 

  • Corominas J, Van Westen C, Frattini P, Cascini L, Malet J-P, Fotopoulou S, Catani F, Van Den Eeckhaut M, Mavrouli O, Agliardi F, Pitilakis K, Winter MG, Pastor M, Ferlisi S, Tofani V, Herva’s J, Smith JT (2014) Recommendations for the quantitative analysis of landslide risk. Bull Eng Geol Environ 73(2):209–263. https://doi.org/10.1007/s10064-013-0538-8

    Article  Google Scholar 

  • Corominas J, Einstein H, Davis T, Strom A, Zuccaro G, Nadim F, Verdel T (2015) Glossary of terms on landslide hazard and risk. In: Lollino G, Giordan D, Crosta GB, Corominas J, Azzam R, Wasowski J, Sciarra N (eds) Engineering geology for society and territory, vol 2. Landslide Processes. Springer, Cham, pp 1775–1779. https://doi.org/10.1007/978-3-319-09057-3_314

    Chapter  Google Scholar 

  • Cruden DM, Varnes DJ (1996) Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslides: investigation and mitigation. TRB special report Nat Acad Sci, 247:36–75

  • Delonca A, Gunzburger Y, Verdel T (2014) Statistical correlation between meteorological and rockfall databases. Nat Hazards Earth Syst Sci 14:1953–1964. https://doi.org/10.5194/nhess-14-1953-2014

    Article  Google Scholar 

  • Delonca A, Verdel T, Gunzburger Y (2016) Influence of expertise on rockfall hazard assessment using empirical methods. Nat Hazards Earth Syst Sci 16:1657–1672. https://doi.org/10.5194/nhess-16-1657-2016

    Article  Google Scholar 

  • Dikau R (2006) Mass movement. In: Goudie AS (ed) Encyclopedia of geomorphology, vol 1. Taylor & Francis e-Library, pp 644–653

  • Dorren LKA (2003) A review of rockfall mechanics and modelling approaches. PPG: Earth Environ 27(1):69–87. https://doi.org/10.1191/0309133303pp359ra

    Article  Google Scholar 

  • Eliassen TD, Springston GE (2007) Rockfall hazard rating of rock cuts on U.S. and state highways in Vermont. Research project, Vermont Agency of Transportation, RSCH010-974

  • Fell R, Ho KKS, Lacasse S, Leroi E (2005) A framework for landslide risk assessment and management. In: Hungr O, Fell R, Couture R (eds) Proceedings of the international conference on landslide risk management. Taylor & Francis, London, pp 3–26. https://doi.org/10.1201/9781439833711

    Chapter  Google Scholar 

  • Ferrari F, Giacomini K, Thoeni K (2016) Qualitative rockfall hazard assessment: a comprehensive review of current practices. Rock Mech Rock Eng 49(7):2865–2922. https://doi.org/10.1007/s00603-017-1214-2

    Article  Google Scholar 

  • Franklin JA, Wood DF, Senior SA, Blair JA, Wright J (2013) RHRON: Ontario rockfall hazard rating system: field procedures manual. Report, Ontario Ministry of Transportation, MERO–043

  • Gajić-Čapka M, Perčec-Tadić M, Patarčić M (2003) A digital annual precipitation map of Croatia. Croat Meteorol J 38:21–33 (in Croatian)

    Google Scholar 

  • Herak M (1991) Dinarides: Mobilistic view of the genesis and structure. Acta Geol 21(2):35–117 (in Croatian)

    Google Scholar 

  • Herak M, Bahun S (1979) The role of the calcareous breccias (Jelar Formation) in the tectonic interpretation of the High Karst Zone of the Dinarides. Geol Vjesn 31:49–59

    Google Scholar 

  • Herak M, Bahun S, Magdalenić A (1969) Positive and negative influences on the development of karst in Croatia. Krš Jugoslavije 6:45–78 (in Croatian)

    Google Scholar 

  • Hoek E (1999) Putting numbers to geology – an engineer’s viewpoint. Q J Eng Geol 32(1):1–19. https://doi.org/10.1144/GSL.QJEG.1999.032.P1.01

    Article  Google Scholar 

  • Huang SL, Darrow MM, Calvin P (2009) Unstable slope management program, background research and program inception. Alaska DOT and Public Facilities, Phase I Final Report

  • ISO 14689-1 (2003) Geotechnical investigation and testing – Identification and classification of rock – Part 1: Identification and description. International Organization for Standardization 1–16

  • ISRM (1978) Suggested methods for the quantitative description of discontinuities in rock masses. Int J Rock Mech Min Sci Geomech Abstr 15:319–368

    Article  Google Scholar 

  • Jurić Kaćunić D, Librić L, Car M (2016) Application of unmanned aerial vehicles on transport infrastructure network. Građevinar 68(4):287–300 (in Croatian). https://doi.org/10.14256/JCE.1382.2015

    Article  Google Scholar 

  • Koleini M, Van Rooy JL (2011) Falling rock hazard index: a case study from the Marun Dam and power plant, southwestern Iran. Bull Eng Geol Environ 70(2):279–290. https://doi.org/10.1007/s10064-010-0327-6

    Article  Google Scholar 

  • Kovačević MS, Mirčeta A, Librić L (2012) The Stupica tunnel – rockfall protection. In: Lakušić S (ed): Road and rail infrastructure II. Proceedings of the 2nd international conference on road and rail infrastructures - CETRA 2012, University of Zagreb, 789–795

  • Liang RY (2007) Landslide hazard rating matrix and database, Vol 1. University of Akron, final report, FHWA/OH-2007/18

  • Liu X (2009) Ordinal regression analysis: fitting the proportional odds model using Stata, SAS and SPSS. J Mod Appl Stat Methods 8(2):632–645. https://doi.org/10.22237/jmasm/1257035340

    Article  Google Scholar 

  • Maerz NH, Youssef A, Fennessey TW (2005) New risk-consequence Rockfall Hazard Rating System for Missouri highways using digital image analysis. Environ Eng Geosci 11(3):229–249. https://doi.org/10.2113/11.3.229

    Article  Google Scholar 

  • Mauldon M, Drumm E, Dunne WM, Bateman V, Rose B, Kim M (2007) Rockfall Management System for Tennessee. The University of Tennessee, Final Project Report

  • McCullagh P (1980) Regression models for ordinal data (with discussion). J R Stat Soc Ser B-Stat Methodol 42(2):109–142

    Google Scholar 

  • Mölk M, Poisel R, Weilbold J, Angerer H (2008) Rockfall rating systems: is there a comprehensive method for hazard zoning in populated areas? Proceedings of the 11th Interpraevent 2008 congress, Vol 2, 207–219

  • National Institute for Advanced Transportation Technology – NIATT (2003) Development and implementation of the Idaho highway slope instability and management system (HiSIMS). Report, N03–07

  • New York State Department of Transportation – NYSDOT (2007) Geotechnical engineering manual: rock slope rating procedure. Geotechnical Engineering Bureau, GEM-15

  • Palmström A (2005) Measurements of and correlations between block size and rock quality designation (RQD). Tunn Undergr Space Technol 20:362–377. https://doi.org/10.1016/j.tust.2005.01.005

    Article  Google Scholar 

  • Pantelidis L (2011) A critical review of highway cut instability risk assessment systems. Bull Eng Geol Environ 70(3):395–400. https://doi.org/10.1007/s10064-010-0328-5

    Article  Google Scholar 

  • Pfeiffer T, Higgins JD (1990) Rockfall Hazard analysis using the Colorado Rockfall Simulation Program. Transp Res Rec 1288:117–126

    Google Scholar 

  • Pierson LA (1991) The Rockfall Hazard Rating System. Oregon State Highway Division, report, FHWA-OR-GT-92-05

  • Pierson LA, Van Vickle R (1993) Rockfall Hazard Rating System – Participants’ manual. SNI international resources, Inc., FHWA-SA-93-057

  • Pollak D, Buljan R, Podolszki L (2010) General engineering geological properties of carbonates in Croatian karst. In: Vrkljan I (ed) Proceedings of the regional symposium of the International Society for Rock Mechanics, Taylor & Francis, London, 143–148

  • Prelogović E (1975) Neotectonic map of SR Croatia. Geol Vjesn 28:97–108 (in Croatian)

    Google Scholar 

  • RocScience Inc. (2010) RocFall 4.0 – risk analysis of falling rocks on steep cuts. Toronto, Canada

  • Russell CP, Santi P, Higgins JD (2008) Modification and statistical analysis of the Colorado Rockfall Hazard Rating System. Colorado School of Mines, report, CDOT-2008-7

  • Santi PM, Russell CP, Higgins JD, Spriet JI (2009) Modification and statistical analysis of the Colorado Rockfall Hazard Rating System. Eng Geol 104:55–65. https://doi.org/10.1016/j.enggeo.2008.08.009

    Article  Google Scholar 

  • Saroglou H, Marinos V, Marinos P, Tsiambaos G (2012) Rockfall hazard and risk assessment: an example from a high promontora at historical site of Monemvasia, Greece. Nat Hazards Earth Syst Sci 12:1823–1836. https://doi.org/10.5194/nhess-12-1823-2012

    Article  Google Scholar 

  • SAS Institute Inc. (2009) SAS/STAT 9.2, User’s Guide (2nd edn). SAS Institute Inc., North Carolina (Copyright, SAS Institute Inc. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc., Cary, NC, USA)

  • Si-qiao Y, Shangqing G, Zhuan-yun Y, Hui L (2014) A rating system for road cut rockfall hazards. Electron J Geotech Eng 19:4489–4499

    Google Scholar 

  • Vandewater CJ, Dunne WM, Mauldon M, Drumm EC, Bateman V (2005) Classifying and assessing the geologic contribution to Rockfall Hazard. Environ Eng Geosci 11(2):141–154. https://doi.org/10.2113/11.2.141

    Article  Google Scholar 

  • Varnes DJ (1978) Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) landslides: analysis and control, vol 176. National Academy of Sciences, TRB special report, pp 11–33

  • Vishal V, Siddique T, Purohit R, Phophliya MK, Pradhan SP (2017) Hazard assessment in rockfall-prone Himalayan slopes along National Highway-58, India: rating and simulation. Nat Hazards 85(1):487–503 https://doi.org/10.1007/s11069-016-2563-y

    Article  Google Scholar 

  • Vlahović I, Tišljar J, Velić I, Matičec D (2005) Evolution of the Adriatic carbonate platform: palaeogeography, main events and depositional dynamics. Palaeogeogr Palaeoclimatol Palaeoecol 220(3–4):333–360. https://doi.org/10.1016/j.palaeo.2005.01.011

    Article  Google Scholar 

  • Vlastelica G, Miščević P, Fukuoka H (2018) Rockfall Monitoring by Terrestrial Laser Scanning - Case Study of the Rock Cliff at Duće, Croatia. In: Mihalić Arbanas S, Arbanas Ž (eds) Landslide and Flood Hazard Assessment. Proceedings of the 1st Regional Symposium on Landslides in the Adriatic-Balkan Region with the 3rd Workshop of the Japanese-Croatian Project “Risk Identification and Land-Use Planning for Disaster Mitigation of Landslides and Floods in Croatia”, University of Zagreb and University of Rijeka, 51–55

  • Youssef AM, Maerz NH (2012) Development, justification, and verification of a rock fall hazard rating system. Bull Eng Geol Environ 71(1):171–186. https://doi.org/10.1007/s10064-010-0339-2

    Article  Google Scholar 

  • Zaninović K, Srnec L, Perčec-Tadić M (2004) A digital annual temperature map of Croatia. Croat Meteorol J 39:51–58 (in Croatian)

    Google Scholar 

Download references

Acknowledgements

The research for this study was carried out within the project “The restoration of the rock cuts in the segments of the railway network of Croatian railways”, by engineering geologists from the Croatian Geological Survey, Department of Hydrogeology and Engineering Geology. We appreciate their efforts for data collection during EG inspection. Special thanks to Dr. Dražen Navratil for constructive discussions and ideas. We are also grateful to employees of several Regional Maintenance Administration of Croatian Railways (Rijeka, Ogulin, and Split) for providing available data and sharing their experience.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iris Bostjančić.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bostjančić, I., Pollak, D. Rockfall threat assessment along railways in carbonate rocks in Croatia. Bull Eng Geol Environ 79, 3921–3942 (2020). https://doi.org/10.1007/s10064-020-01822-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10064-020-01822-x

Keywords