Geospatial approach for Landslides Vulnerability Assessment of Physical Infrastructures in Sireh Park, Johor Bahru

Umar Mohammed Jambo, Mohd Faisal Abdul Khanan, Zakaria Baharuddin, Muhammad Zulkarnain Abdul Rahman, Suzanna Noor Azmy, Wan Hazli Wan Kadir

Abstract


According to the landslide records between 1993 and 2019 in Malaysia, 171 individuals lost their lives, many others sustained injuries and numerous families evacuated. Additionally, infrastructures and vehicles incurred damage. Even though landslides present a risk to human life, environment, and infrastructures, there are few studies on landslides vulnerability in Malaysia with most of them focusing on social vulnerability neglecting the physical vulnerability. Consequently, a dearth of information on the vulnerability of an area to landslides may amplify the risks associated with landslides, and the relevant authorities in both the landslide-prone and affected regions may not implement the appropriate mitigation measures. The aim of this study is to estimate vulnerability of elements at risk to landslide in the hazard’s affected area of Sireh Park. An indicator based method was used to calculate the relative vulnerability index for each of the elements at risk. In applying the method, experts assigned weights to the indicators and their respective sub indicators based on their significance to landslides vulnerability. The indicators were grouped into clusters, the total values of weights for all the clusters equals to 1. The results of the study showed that about 252 elements at risk are exposed to landslides in Sireh Park, out of which 226 (89.7%) are buildings, while 26 (10.3%) are roads. The general level of buildings' vulnerability to landslides in the study area is relatively low, however about 20.4% of the buildings display a high degree of vulnerability. Meanwhile, the general vulnerability of roads sections to landslides is averagely high, with about 54.8% of the roads sections exhibiting a high degree of vulnerability while 16.1% exhibits low degree of vulnerability. The study can help stakeholders to identify locations with high landslide vulnerability and guide the development of mitigation measures and emergency preparedness plans to reduce the potential impact of landslides in the study area.

 

Keywords: Element at risk, landslides runout distance, landslides vulnerability, physical infrastructures, vulnerability indicators, vulnerability index


Keywords


Element at risk, landslides runout distance, landslides vulnerability, physical infrastructures, vulnerability indicators, vulnerability index

Full Text:

PDF

References


Abd Sahrin, M. S., & Khanan, M. F. A. (2022). Geospatial metamodel for landslide disaster management in Malaysia: Current practices. Journal of Information System and Technology Management, 7(25), 65–82. Retrieved from https://doi.org/10.35631/JISTM.725005

Akter, A., Noor, M. J. M. M., Goto, M., Khanam, S., Parvez, A., & Rasheduzzaman, M. (2019). Landslide Disaster in Malaysia: An Overview. International Journal of Innovative Research and Development, 8(6), 292-302. Retrieved from https://doi.org/10.24940/ijird/2019/v8/i6/JUN19058

Anonymous. (2022, June 23). Housing and Local Government Ministry: Landslide risk assessment guidelines approved. Malaymail Retrieved from https://www.malaymail.com/news/malaysia/2022/06/23/housing-and-local-government-ministry-landslide-risk-assessment-guidelines-approved/13929

Arrogante-Funes, P., Bruzón, A. G., Arrogante-Funes, F., Ramos-Bernal, R. N., & Vázquez-Jiménez, R. (2021). Integration of vulnerability and hazard factors for landslide risk assessment. International Journal of Environmental Research and Public Health, 18(22), 11987. Retrieved from https://doi.org/10.3390/ijerph182211987

Bera, S., Guru, B., & Oommen, T. (2020). Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India. International Journal of Disaster Risk Reduction, 50, 101891. Retrieved from https://doi.org/10.1016/j.ijdrr.2020.101891

Emberson, R. A., Kirschbaum, D. B., & Stanley, T. (2021). Landslide Hazard and Exposure Modelling in Data‐Poor Regions: The Example of the Rohingya Refugee Camps in Bangladesh. Earth’s Future, 9(2), 1-22. Retrieved from https://doi.org/10.1029/2020EF001666

Fakhrul, I., Iqbal, M. F., Mahmood, I., Shahzad, M. I., & Shah. U. S. (2022). Application of frequency ratio, information value, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Murree Region, SubHimalayas. Research Square, 1-22. Retrieved from https://doi.org/10.21203/rs.3.rs-2218881/v1

Francone, L. (2022). Vulnerability assessment of buildings to landslide. Politecnico di Torino.

Froude, M. J., & Petley, D. N. (2018). Global fatal landslide occurrence from 2004 to 2016. Natural Hazards and Earth System Sciences, 18(8), 2161–2181. Retrieved from https://doi.org/10.5194/nhess-18-2161-2018

JMG. (2017). Memasyarakatkan geologi di Sireh Park, Iskandar Puteri. Retrieved from Retrieved from http://blog.jmg.gov.my/akrab/memasyarakatkan-geologi-di-sireh-park-iskandar-puteri

Komu, M. P., Nefeslioglu, H. A., & Gokceoglu, C. (2023). A review of the prediction methods for landslide runout. Proceedings, 87(1), 3. Retrieved from https://doi.org/10.3390/IECG2022-14604

Krishna, P. S. V. R., Shivakoti, B. R., Dewi, A., Arambepola, N.M.S.I., Kartiko, R. D., Jayasinghe, S., Basnayake, S., & Towashiraporn, P. (2021). On integrating climate change projection into landslide risk assessments and mapping at the river basin level. Jakarta. Retrieved from https://www.nadma.gov.my/images/nadma/documents/riskassessment/Landslide Risk Assessment and Mapping Guideline_ASEAN.pdf

Lagi, L. (2022). Sireh Park, Iskandar Puteri. Retrieved from https://www.facebook.com/SirehPark.IskandarPuteri/?locale=ms_MY

Leoi, S. L., Chan, A. & Trisha, N. (2018, December 4). Malaysia among countries especially prone to landslides. Brudirect Retrieved from https://brudirect.com/news.php?id=58983

Majid, N. A. (2020). Historical landslide events in Malaysia 1993-2019. Indian Journal of Science and Technology, 13(33), 3387–3399. Retrieved from https://doi.org/10.17485/IJST/v13i33.884

Mastura Azmi, K. A. R. (2020). Guidelines for landslide vulnerability assessment and development of risk index for critical infrastructure (CI) in Malaysia. Kuala Lumpur. Retrieved from https://jkt.kpkt.gov.my/sites/default/files/2022-08/Pekeliling KSU KPKT - Bil.1 Tahun 2022 %28Landslide%29 dan GP Resilience Construction.pdf

McDougall, S. (2017). 2014 Canadian Geotechnical Colloquium: Landslide runout analysis — current practice and challenges. Canadian Geotechnical Journal, 54(5), 605–620. Retrieved from https://doi.org/10.1139/cgj-2016-0104

MET. (2023). Malaysia’s Climate. Retrieved from https://www.met.gov.my/en/pendidikan/iklim-malaysia/

Moncayo, S., & Ávila, G. (2023). Landslide travel distances in Colombia from National Landslide Database Analysis. In Sassa, K., Konagai, K., Tiwari, B., Arbanas, Z., & Sassa, S. (eds). Progress in Landslide Research and Technology, 1(1) (pp. 315–325). Springer.

Omar, S. N. A. (2022, April 2). Sireh Park tarikan pelancongan terbaharu di Johor. Astro Awani Retrieved from https://www.astroawani.com/berita-malaysia/sireh-park-tarikan-pelancongan-terbaharu-di-johor-354866

Papathoma-Köhle, M., Gems, B., Sturm, M., & Fuchs, S. (2017). Matrices, curves and indicators: A review of approaches to assess physical vulnerability to debris flows. Earth-Science Reviews, 171, 272–288. Retrieved from https://doi.org/10.1016/j.earscirev.2017.06.007

Pellicani, R., Van Westen, C. J., & Spilotro, G. (2014). Assessing landslide exposure in areas with limited landslide information. Landslides, 11(3), 463–480. Retrieved from https://doi.org/10.1007/s10346-013-0386-4

Qarinur, M. (2015). Landslide runout distance prediction based on mechanism and cause of soil or rock mass movement. Journal of the Civil Engineering Forum, 1(1), 29-35. Retrieved from https://www.researchgate.net/publication/318366111_landslide_runout_distance_prediction_based_on_mechanism_and_cause_of_soil_or_rock_mass_movement/link/5966421fa6fdcc18ea608fbd/download

Rahman, A. A. A., Majid, N. A., & Selamat, N. S. (2020). A comprehensive deriving the factors of landslide happened in Malaysia. International Journal on Emerging Technologies, 11(5), 310–314. Retrieved from https://www.researchtrend.net/ijet/pdf/46 A Comprehensive Deriving the Factors of Landslide Happened in Malaysia-3209-A.A.pdf

Rahman, H. A., & Mapjabil, J. (2017). Landslides Disaster in Malaysia: an Overview. Health and the Environment Journal, 8(1), 58–71. Retrieved from https://www.researchgate.net/profile/Haliza-Abdul-Rahman/publication/321096764_Landslides_Disaster_in_Malaysia_an_Overview/links/5a0d1fe60f7e9b9e33a9e8f3/Landslides-Disaster-in-Malaysia-an-Overview.pdf

Roslee, R., Jamaludin, T. A., & Simon, N. (2017). Landslide Vulnerability Assessment (LVAs): A case study from Kota Kinabalu, Sabah, Malaysia. Indonesian Journal on Geoscience, 4(1), 49-59. Retrieved from https://doi.org/10.17014/ijog.4.1.49-59

Roslee, R., Madri, A. N., & Zikiri, M. F. (2020). Landslide Vulnerability Assesment (LVAS) in Luyang area, Kota Kinabalu, Sabah, Malaysia. Environment & Ecosystem Science, 4(2), 100–104. Retrieved from https://doi.org/10.26480/ees.02.2020.100.104

Singh, A., Kanungo, D. P., & Pal, S. (2019). Physical vulnerability assessment of buildings exposed to landslides in India. Natural Hazards, 96(2), 753–790. Retrieved from https://doi.org/10.1007/s11069-018-03568-y

Singh, A., Pal, S., & Kanungo, D. P. (2019). Site-Specific vulnerability assessment of buildings exposed to rockfalls. In Chattopadhyay, J., Singh, R., & Prakash, O. (eds). Renewable Energy and its Innovative Technologies (pp. 1–11). Springer. Retrieved from https://doi.org/10.1007/978-981-13-2116-0_1

Sivakami, C., & Rajkumar, D. R. (2020). Landslide Vulnerability Zone by Weights of Evidence Model using Remote Sensing and GIS, in Kodaikanal Taluk (Tamil nadu, India). International Journal of Engineering Research And, V9(02), 788-793. Retrieved from https://doi.org/10.17577/IJERTV9IS020201

Subasinghe, C. N., & Kawasaki, A. (2021). Assessment of physical vulnerability of buildings and socio-economic vulnerability of residents to rainfall induced cut slope failures: A case study in central highlands, Sri Lanka. International Journal of Disaster Risk Reduction, 65, 102550. Retrieved from https://doi.org/10.1016/j.ijdrr.2021.102550

UNISDR. (2017). Words into Action Guidelines: National Disaster Risk Assessment Hazard Specific Risk Assessment. Retrieved from https://www.unisdr.org/files/52828_03landslidehazardandriskassessment.pdf

Van Westen, C. J., Castellanos, E., & Kuriakose, S. L. (2008). Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview. Engineering Geology, 102(3–4), 112–131. Retrieved from https://doi.org/10.1016/j.enggeo.2008.03.010

Wohlers, A., & Damm, B. (2022). Rockfall Vulnerability of a Rural Road Network—A Methodological Approach in the Harz Mountains, Germany. Geosciences, 12(4), 170. Retrieved from https://doi.org/10.3390/geosciences12040170

World bank. (2021). Current Climate-Climatology. Retrieved from https://climateknowledgeportal.worldbank.org/country/malaysia/climate-data-historical#:~:text=Malaysia has a tropical climate,hottest months of the year.

Wubalem, A. (2022). Landslide inventory, susceptibility, hazard and risk mapping. IntechOpen. Retrieved from https://doi.org/10.5772/intechopen.100504

Zakaria, M., Ramli, Z., Rahman, M. Z. A., Salleh, M. R. M., Ismail, Z., &

Khanan, M. F. A. (2018). Vulnerability mapping and analysis: An implementation in geohazard areas in Sabah. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W9, 189-200. Retrieved from https://www.proquest.com/docview/2585419660/fulltextPDF/AB7D82214D994E76PQ/1?accountid=41678


Refbacks

  • There are currently no refbacks.