IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v24y2022i2d10.1007_s10668-021-01537-3.html
   My bibliography  Save this article

Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India

Author

Listed:
  • Dattatray Khamkar

    (V.J.T.I)

  • Sainath Aher

    (D.J.M. Commerce and B.N.S. Science College
    Universal Geotechnica)

  • Praveen Gawali

    (Indian Institute of Geomagnetism)

  • Sumedh Mhaske

    (V.J.T.I)

Abstract

Road Cut Slope Catastrophe (RCSC) is a recent menace threatening vehicular traffic and commuter safety in hilly tracts. Reduction of risk along Road Cut Hill Slope (RCHS) needs to be tackled on priority. National Highway (NH) 60 (formerly NH-50) situated in semi-arid basaltic tract within Chandanapuri Ghat (hill) in Maharashtra is being expanded to enhance economic activity in the allied region. To predict RCSC or landslide activity across the Ghat stretch, eleven (n = 11) road cut slopes were investigated by collecting data regarding (1) slope, (2) RCHS height, (3) distance from road, (4) rock composition, (5) soil structure, and (6) mass movement. Traffic survey was also carried out to understand the vehicular frequency. Survey of India (SOI) 1:50,000 scale toposheet (47/I/3) and LISS-III satellite imagery were used to identify the pre-expansion road situation of the area. Mean rainfall and temperature data were collected from TRMM data, and worldclime grid, respectively, to evaluate climatic nature of the area. Satellite-derived ASTER GDEM data were used to prepare the topographic information. Field investigations, GPS data and traffic survey, space-based remote sensing (RS) satellite-derived data were all integrated in ArcGIS V.9.2 software to produce the composite spatial database of all samples. After that, RCHS site weighting and weighted factor combination (WFC) were carried out to form the Landslide Risk Intensity (LRI), i.e., Low risk (LR), Moderate Risk (MR), High risk (HR), and Very High risk (VHR). Results indicate that out of 11 samples, 2 (P3, P11) are prone to VHR, 3 (P2, P9, P10) prone to HR, 3 (P5, P7, P8) prone to MR, and 3 (P1, P4, P6) prone to RCSC. The results were validated from rock fall activity even though the cut slopes are protected with security net, confirmed by field visit. Thus, investigated RCSC will be useful to evaluate the risk intensity and help evolve suitable remedial measures for RCSC or landslide reduction in the present and other similar areas. It is also recommended to make highway slope maintenance an integral part of highway management.

Suggested Citation

  • Dattatray Khamkar & Sainath Aher & Praveen Gawali & Sumedh Mhaske, 2022. "Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2362-2386, February.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:2:d:10.1007_s10668-021-01537-3
    DOI: 10.1007/s10668-021-01537-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01537-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01537-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. D. Ramakrishnan & T. Singh & A. Verma & Akshay Gulati & K. Tiwari, 2013. "Soft computing and GIS for landslide susceptibility assessment in Tawaghat area, Kumaon Himalaya, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 315-330, January.
    2. Keshav K. Deshmukh & Sainath P. Aher, 2016. "Assessment of the Impact of Municipal Solid Waste on Groundwater Quality near the Sangamner City using GIS Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(7), pages 2425-2443, May.
    3. P. Singh & A. Wasnik & Ashutosh Kainthola & M. Sazid & T. Singh, 2013. "The stability of road cut cliff face along SH-121: a case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 497-507, September.
    4. T. Siddque & S. P. Pradhan, 2018. "Stability and sensitivity analysis of Himalayan road cut debris slopes: an investigation along NH-58, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(2), pages 577-600, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. T. N. Singh & Rajbal Singh & Bhoop Singh & L. K. Sharma & Rajesh Singh & M. K. Ansari, 2016. "Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 2019-2030, April.
    2. Arunava Ray & Vikash Kumar & Amit Kumar & Rajesh Rai & Manoj Khandelwal & T. N. Singh, 2020. "Stability prediction of Himalayan residual soil slope using artificial neural network," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 3523-3540, September.
    3. Tariq Siddique & M. E. A. Mondal & S. P. Pradhan & M. Salman & M. Sohel, 2020. "Geotechnical assessment of cut slopes in the landslide-prone Himalayas: rock mass characterization and simulation approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 413-435, October.
    4. Daniel Smith & Thomas Oommen & Luke Bowman & John Gierke & Stanley Vitton, 2015. "Hazard assessment of rainfall-induced landslides: a case study of San Vicente volcano in central El Salvador," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(3), pages 2291-2310, February.
    5. Rajendra B. Zolekar & Rahul S. Todmal & Vijay S. Bhagat & Santosh A. Bhailume & Mahendra S. Korade & Sumit Das, 2021. "Hydro-chemical characterization and geospatial analysis of groundwater for drinking and agricultural usage in Nashik district in Maharashtra, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4433-4452, March.
    6. Giovanni De Filippis & Prisco Piscitelli & Idelberto Francesco Castorini & Anna Maria Raho & Adele Idolo & Nicola Ungaro & Filomena Lacarbonara & Erminia Sgaramella & Vito Laghezza & Donatella Chionna, 2020. "Water Quality Assessment: A Quali-Quantitative Method for Evaluation of Environmental Pressures Potentially Impacting on Groundwater, Developed under the M.I.N.O.Re. Project," IJERPH, MDPI, vol. 17(6), pages 1-14, March.
    7. Shakti Suman & S. Z. Khan & S. K. Das & S. K. Chand, 2016. "Slope stability analysis using artificial intelligence techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 727-748, November.
    8. Vittorio Catani & Daniela Zuzolo & Libera Esposito & Stefano Albanese & Mauro Pagnozzi & Francesco Fiorillo & Benedetto Vivo & Domenico Cicchella, 2020. "A New Approach for Aquifer Vulnerability Assessment: the Case Study of Campania Plain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 819-834, January.
    9. Guru Balamurugan & Veerappan Ramesh & Mangminlen Touthang, 2016. "Landslide susceptibility zonation mapping using frequency ratio and fuzzy gamma operator models in part of NH-39, Manipur, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 465-488, October.
    10. Suvam Das & Shantanu Sarkar & Debi Prasanna Kanungo, 2023. "A critical review on landslide susceptibility zonation: recent trends, techniques, and practices in Indian Himalaya," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 23-72, January.
    11. Ashok Kumar Singh & Jagadish Kundu & Kripamoy Sarkar, 2018. "Stability analysis of a recurring soil slope failure along NH-5, Himachal Himalaya, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 863-885, January.
    12. S. P. Pradhan & Vikram Vishal & T. N. Singh, 2018. "Finite element modelling of landslide prone slopes around Rudraprayag and Agastyamuni in Uttarakhand Himalayan terrain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(1), pages 181-200, October.
    13. Qingfu Li & Zhipeng Wang & Linfang Lu & Qiang Ma, 2021. "Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    14. Zhaoxia Xu & Xiaoping Zhou & Qihu Qian, 2021. "The global sensitivity analysis of slope stability based on the least angle regression," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 2361-2379, February.
    15. Sahil Sardana & A. K. Verma & Rahul Verma & T. N. Singh, 2019. "Rock slope stability along road cut of Kulikawn to Saikhamakawn of Aizawl, Mizoram, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(2), pages 753-767, November.
    16. Zaobao Liu & Jianfu Shao & Weiya Xu & Hongjie Chen & Yu Zhang, 2014. "An extreme learning machine approach for slope stability evaluation and prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(2), pages 787-804, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:24:y:2022:i:2:d:10.1007_s10668-021-01537-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.