IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i2p243-d129664.html
   My bibliography  Save this article

Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda

Author

Listed:
  • Jean Baptiste Nsengiyumva

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818, South Beijing Road, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Ministry of Disaster Management and Refugees (MIDIMAR), P.O. Box 4386, Kigali 00250, Rwanda)

  • Geping Luo

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818, South Beijing Road, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lamek Nahayo

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818, South Beijing Road, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiaotao Huang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818, South Beijing Road, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Peng Cai

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818, South Beijing Road, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Landslides susceptibility assessment has to be conducted to identify prone areas and guide risk management. Landslides in Rwanda are very deadly disasters. The current research aimed to conduct landslide susceptibility assessment by applying Spatial Multi-Criteria Evaluation Model with eight layers of causal factors including: slope, distance to roads, lithology, precipitation, soil texture, soil depth, altitude and land cover. In total, 980 past landslide locations were mapped. The relationship between landslide factors and inventory map was calculated using the Spatial Multi-Criteria Evaluation. The results revealed that susceptibility is spatially distributed countrywide with 42.3% of the region classified from moderate to very high susceptibility, and this is inhabited by 49.3% of the total population. In addition, Provinces with high to very high susceptibility are West, North and South (40.4%, 22.8% and 21.5%, respectively). Subsequently, the Eastern Province becomes the peak under low susceptibility category (87.8%) with no very high susceptibility (0%). Based on these findings, the employed model produced accurate and reliable outcome in terms of susceptibility, since 49.5% of past landslides fell within the very high susceptibility category, which confirms the model’s performance. The outcomes of this study will be useful for future initiatives related to landslide risk reduction and management.

Suggested Citation

  • Jean Baptiste Nsengiyumva & Geping Luo & Lamek Nahayo & Xiaotao Huang & Peng Cai, 2018. "Landslide Susceptibility Assessment Using Spatial Multi-Criteria Evaluation Model in Rwanda," IJERPH, MDPI, vol. 15(2), pages 1-23, January.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:243-:d:129664
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/2/243/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/2/243/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. H. A. Nefeslioglu & E. Sezer & C. Gokceoglu & A. S. Bozkir & T. Y. Duman, 2010. "Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-15, February.
    2. Fidele Karamage & Chi Zhang & Felix Ndayisaba & Hua Shao & Alphonse Kayiranga & Xia Fang & Lamek Nahayo & Enan Muhire Nyesheja & Guangjin Tian, 2016. "Extent of Cropland and Related Soil Erosion Risk in Rwanda," Sustainability, MDPI, vol. 8(7), pages 1-19, June.
    3. World Bank & United Nations, 2010. "Natural Hazards, UnNatural Disasters : The Economics of Effective Prevention," World Bank Publications - Books, The World Bank Group, number 2512.
    4. Krishna Devkota & Amar Regmi & Hamid Pourghasemi & Kohki Yoshida & Biswajeet Pradhan & In Ryu & Megh Dhital & Omar Althuwaynee, 2013. "Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal 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. 65(1), pages 135-165, January.
    5. Dieu Bui & Owe Lofman & Inge Revhaug & Oystein Dick, 2011. "Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic 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. 59(3), pages 1413-1444, December.
    6. Lamek Nahayo & Christophe Mupenzi & Alphonse Kayiranga & Fidele Karamage & Felix Ndayisaba & Enan Muhire Nyesheja & Lanhai Li, 2017. "Early alert and community involvement: approach for disaster risk reduction in Rwanda," 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. 86(2), pages 505-517, March.
    7. Tomislav Hengl & Gerard B M Heuvelink & Bas Kempen & Johan G B Leenaars & Markus G Walsh & Keith D Shepherd & Andrew Sila & Robert A MacMillan & Jorge Mendes de Jesus & Lulseged Tamene & Jérôme E Tond, 2015. "Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-26, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lamek Nahayo & Cui Peng & Yu Lei & Rongzhi Tan, 2023. "Spatial understanding of historical and future landslide variation in Africa," 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. 119(1), pages 613-641, October.
    2. Martin Kuradusenge & Santhi Kumaran & Marco Zennaro, 2020. "Rainfall-Induced Landslide Prediction Using Machine Learning Models: The Case of Ngororero District, Rwanda," IJERPH, MDPI, vol. 17(11), pages 1-20, June.
    3. Sk Ajim Ali & Farhana Parvin & Quoc Bao Pham & Khaled Mohamed Khedher & Mahro Dehbozorgi & Yasin Wahid Rabby & Duong Tran Anh & Duc Hiep Nguyen, 2022. "An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, 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. 113(3), pages 1601-1633, September.

    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. Amin Hosseinpoor Milaghardan & Rahim Ali Abbaspour & Mina Khalesian, 2020. "Evaluation of the effects of uncertainty on the predictions of landslide occurrences using the Shannon entropy theory and Dempster–Shafer theory," 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. 100(1), pages 49-67, January.
    2. Jean Baptiste Nsengiyumva & Geping Luo & Egide Hakorimana & Richard Mind'je & Aboubakar Gasirabo & Valentine Mukanyandwi, 2019. "Comparative Analysis of Deterministic and Semiquantitative Approaches for Shallow Landslide Risk Modeling in Rwanda," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2576-2595, November.
    3. Richard Mind’je & Lanhai Li & Jean Baptiste Nsengiyumva & Christophe Mupenzi & Enan Muhire Nyesheja & Patient Mindje Kayumba & Aboubakar Gasirabo & Egide Hakorimana, 2020. "Landslide susceptibility and influencing factors analysis in Rwanda," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7985-8012, December.
    4. Taskin Kavzoglu & Emrehan Kutlug Sahin & Ismail Colkesen, 2015. "An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district," 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. 76(1), pages 471-496, March.
    5. Jean de Dieu Nambajimana & Xiubin He & Ji Zhou & Meta Francis Justine & Jinlin Li & Dil Khurram & Richard Mind’je & Gratien Nsabimana, 2019. "Land Use Change Impacts on Water Erosion in Rwanda," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    6. Dang, Hai-Anh & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024. "Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda," GLO Discussion Paper Series 1445, Global Labor Organization (GLO).
    7. Xinfu Xing & Chenglong Wu & Jinhui Li & Xueyou Li & Limin Zhang & Rongjie He, 2021. "Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method," 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. 106(1), pages 97-117, March.
    8. Sabastine Ugbemuna Ugbaje & Thomas F.A. Bishop, 2020. "Hydrological Control of Vegetation Greenness Dynamics in Africa: A Multivariate Analysis Using Satellite Observed Soil Moisture, Terrestrial Water Storage and Precipitation," Land, MDPI, vol. 9(1), pages 1-15, January.
    9. Anne T. Kuriakose & Rasmus Heltberg & William Wiseman & Cecilia Costella & Rachel Cipryk & Sabine Cornelius, 2013. "Climate-Responsive Social Protection," Development Policy Review, Overseas Development Institute, vol. 31, pages 19-34, November.
    10. Kourosh Shirani & Mehrdad Pasandi & Alireza Arabameri, 2018. "Landslide susceptibility assessment by Dempster–Shafer and Index of Entropy models, Sarkhoun basin, Southwestern Iran," 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(3), pages 1379-1418, September.
    11. Nisar Ali Shah & Muhammad Shafique & Muhammad Ishfaq & Kamil Faisal & Mark Van der Meijde, 2023. "Integrated Approach for Landslide Risk Assessment Using Geoinformation Tools and Field Data in Hindukush Mountain Ranges, Northern Pakistan," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    12. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    13. Joachim Eisenberg & Fabrice A. Muvundja, 2020. "Quantification of Erosion in Selected Catchment Areas of the Ruzizi River (DRC) Using the (R)USLE Model," Land, MDPI, vol. 9(4), pages 1-18, April.
    14. Vittorio Piazzi & Francesco Pagliacci & Margherita Russo, 2015. "Analisi cluster delle caratteristiche socio-economiche dei comuni dell'Emilia-Romagna: un confronto tra comuni dentro e fuori dal cratere del sisma," Center for the Analysis of Public Policies (CAPP) 0120, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    15. Thomas Neise & Javier Revilla Diez & Matthias Garschagen, 2018. "Firms as drivers of integrative adaptive regional development in the context of environmental hazards in developing countries and emerging economies – A conceptual framework," Environment and Planning C, , vol. 36(8), pages 1522-1541, December.
    16. Nancy McCarthy & Talip Kilic & Alejandro de la Fuente & Joshua M. Brubaker, 2018. "Shelter from the Storm? Household-Level Impacts of, and Responses to, the 2015 Floods in Malawi," Economics of Disasters and Climate Change, Springer, vol. 2(3), pages 237-258, October.
    17. Chantal M. J. Hendriks & Harry S. Gibson & Anna Trett & André Python & Daniel J. Weiss & Anton Vrieling & Michael Coleman & Peter W. Gething & Penny A. Hancock & Catherine L. Moyes, 2019. "Mapping Geospatial Processes Affecting the Environmental Fate of Agricultural Pesticides in Africa," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    18. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    19. Sandeep Kumar & Vikram Gupta, 2021. "Evaluation of spatial probability of landslides using bivariate and multivariate approaches in the Goriganga valley, Kumaun 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. 109(3), pages 2461-2488, December.
    20. Hailang He & Weiwei Wang & Zhengxing Wang & Shu Li & Jianguo Chen, 2024. "Enhancing Seismic Landslide Susceptibility Analysis for Sustainable Disaster Risk Management through Machine Learning," Sustainability, MDPI, vol. 16(9), pages 1-24, May.

    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:gam:jijerp:v:15:y:2018:i:2:p:243-:d:129664. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.