IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i7p3956-d780855.html
   My bibliography  Save this article

Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping

Author

Listed:
  • Athanasios V. Argyriou

    (Laboratory of Geophysical—Satellite Remote Sensing & Archaeo-Environment (GeoSat ReSeArch), Institute for Mediterranean Studies (IMS), Foundation for Research & Technology Hellas (FORTH), 74100 Rethymno, Greece
    Centre for Applied Geosciences, School of Earth and Environmental Sciences, University of Portsmouth, Portsmouth PO1 3QL, UK)

  • Christos Polykretis

    (Laboratory of Geophysical—Satellite Remote Sensing & Archaeo-Environment (GeoSat ReSeArch), Institute for Mediterranean Studies (IMS), Foundation for Research & Technology Hellas (FORTH), 74100 Rethymno, Greece)

  • Richard M. Teeuw

    (Centre for Applied Geosciences, School of Earth and Environmental Sciences, University of Portsmouth, Portsmouth PO1 3QL, UK)

  • Nikos Papadopoulos

    (Laboratory of Geophysical—Satellite Remote Sensing & Archaeo-Environment (GeoSat ReSeArch), Institute for Mediterranean Studies (IMS), Foundation for Research & Technology Hellas (FORTH), 74100 Rethymno, Greece)

Abstract

Among several natural and anthropogenic conditioning factors that control slope instability, heavy rainfall is a key factor in terms of triggering landslide events. In the Mediterranean region, Crete suffers the frequent occurrence of heavy rainstorms that act as a triggering mechanism for landslides. The Mediterranean island of Crete suffers from frequent occurrences of heavy rainstorms, which often trigger landslides. Therefore, the spatial and temporal study of recent storm/landslide events and the projection of potential future events is crucial for long-term sustainable land use in Crete and Mediterranean landscapes with similar geomorphological settings, especially with climate change likely to produce bigger and more frequent storms in this region. Geoinformatic technologies, mainly represented by remote sensing (RS) and Geographic Information Systems (GIS), can be valuable tools towards the analysis of such events. Considering an administrative unit of Crete (municipality of Rethymnon) for investigation, the present study focused on using RS and GIS-based approaches to: (i) detect landslides triggered by heavy rainstorms during February 2019; (ii) determine the interaction between the triggering factor of rainfall and other conditioning factors; and (iii) estimate the spatial component of a hazard map by spatially indicating the possibility for rainfall-triggered landslides when similar rainstorms take place in the future. Both landslide detection and hazard mapping outputs were validated by field surveys and empirical analysis, respectively. Based on the validation results, geoinformatic technologies can provide an ideal methodological framework for the acquisition of landslide-related knowledge, being particularly beneficial to land-use planning and decision making, as well as the organization of emergency actions by local authorities.

Suggested Citation

  • Athanasios V. Argyriou & Christos Polykretis & Richard M. Teeuw & Nikos Papadopoulos, 2022. "Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping," Sustainability, MDPI, vol. 14(7), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3956-:d:780855
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/7/3956/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/7/3956/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christos Polykretis & Manolis G. Grillakis & Athanasios V. Argyriou & Nikos Papadopoulos & Dimitrios D. Alexakis, 2021. "Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece," Land, MDPI, vol. 10(9), pages 1-23, September.
    2. Prabin Kayastha & Megh Dhital & Florimond Smedt, 2012. "Landslide susceptibility mapping using the weight of evidence method in the Tinau watershed, Nepal," 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. 63(2), pages 479-498, September.
    3. Hariklia D. Skilodimou & George D. Bathrellos & Efterpi Koskeridou & Konstantinos Soukis & Dimitrios Rozos, 2018. "Physical and Anthropogenic Factors Related to Landslide Activity in the Northern Peloponnese, Greece," Land, MDPI, vol. 7(3), pages 1-18, July.
    4. Emmanouil Psomiadis & Andreas Papazachariou & Konstantinos X. Soulis & Despoina-Simoni Alexiou & Ioannis Charalampopoulos, 2020. "Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data," Land, MDPI, vol. 9(5), pages 1-26, April.
    5. Jewgenij Torizin & Michael Fuchs & Adnan Alam Awan & Ijaz Ahmad & Sardar Saeed Akhtar & Simon Sadiq & Asif Razzak & Daniel Weggenmann & Faseeh Fawad & Nimra Khalid & Faisan Sabir & Ahsan Jamal Khan, 2017. "Statistical landslide susceptibility assessment of the Mansehra and Torghar districts, Khyber Pakhtunkhwa Province, Pakistan," 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. 89(2), pages 757-784, November.
    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. Marco Manzan & Giovanni Bacaro & Andrea Nardini & Giulia Casagrande & Amedeo Pezzi & Francesco Petruzzellis & Enrico Tordoni & Giorgio Fontolan, 2022. "Climate Change Risk and Vulnerabilities Analysis in Trieste SECAP," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    2. Constantinos Nefros & Dimitrios S. Tsagkas & Gianna Kitsara & Constantinos Loupasakis & Christos Giannakopoulos, 2023. "Landslide Susceptibility Mapping under the Climate Change Impact in the Chania Regional Unit, West Crete, Greece," Land, MDPI, vol. 12(1), pages 1-25, January.

    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. Quynh Duy Bui & Hang Ha & Dong Thanh Khuc & Dinh Quoc Nguyen & Jason von Meding & Lam Phuong Nguyen & Chinh Luu, 2023. "Landslide susceptibility prediction mapping with advanced ensemble models: Son La province, Vietnam," 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. 116(2), pages 2283-2309, March.
    2. Jie Liu & Zhen Wu & Huiwen Zhang, 2021. "Analysis of Changes in Landslide Susceptibility according to Land Use over 38 Years in Lixian County, China," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
    3. Christos Polykretis & Manolis G. Grillakis & Athanasios V. Argyriou & Nikos Papadopoulos & Dimitrios D. Alexakis, 2021. "Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece," Land, MDPI, vol. 10(9), pages 1-23, September.
    4. Abhik Saha & Vasanta Govind Kumar Villuri & Ashutosh Bhardwaj, 2022. "Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India," Land, MDPI, vol. 11(10), pages 1-27, October.
    5. Bo Cao & Qingyi Li & Yuhang Zhu, 2022. "Comparison of Effects between Different Weight Calculation Methods for Improving Regional Landslide Susceptibility—A Case Study from Xingshan County of China," Sustainability, MDPI, vol. 14(17), pages 1-15, September.
    6. Hariklia D. Skilodimou & George D. Bathrellos, 2021. "Natural and Technological Hazards in Urban Areas: Assessment, Planning and Solutions," Sustainability, MDPI, vol. 13(15), pages 1-5, July.
    7. Javeria Saleem & Sheikh Saeed Ahmad & Amna Butt, 2020. "Hazard risk assessment of landslide-prone sub-Himalayan region by employing geospatial modeling 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. 102(3), pages 1497-1514, July.
    8. Muhammad Basharat & Muhammad Tayyib Riaz & M. Qasim Jan & Chong Xu & Saima Riaz, 2021. "A review of landslides related to the 2005 Kashmir Earthquake: implication and future challenges," 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. 108(1), pages 1-30, August.
    9. Tirthankar Basu & Swades Pal, 2020. "A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4787-4819, June.
    10. Okoli Jude Emeka & Haslinda Nahazanan & Bahareh Kalantar & Zailani Khuzaimah & Ojogbane Success Sani, 2021. "Evaluation of the Effect of Hydroseeded Vegetation for Slope Reinforcement," Land, MDPI, vol. 10(10), pages 1-23, September.
    11. Jonmenjoy Barman & Brototi Biswas & K. Srinivasa Rao, 2024. "A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, 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. 120(9), pages 8571-8596, July.
    12. Gerardo Grelle & Antonietta Rossi & Paola Revellino & Luigi Guerriero & Francesco Maria Guadagno & Giuseppe Sappa, 2019. "Assessment of Debris-Flow Erosion and Deposit Areas by Morphometric Analysis and a GIS-Based Simplified Procedure: A Case Study of Paupisi in the Southern Apennines," Sustainability, MDPI, vol. 11(8), pages 1-20, April.
    13. Haoran Su & Chang Liu & Donghui Dai & Wenkai Chen & Zhen Zhang & Yaowu Wang, 2023. "Distribution Characteristics and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China," Land, MDPI, vol. 12(8), pages 1-30, August.
    14. Sudatta Wadadar & Bhabani Prasad Mukhopadhyay, 2022. "GIS-based landslide susceptibility zonation and comparative analysis using analytical hierarchy process and conventional weighting-based multivariate statistical methods in the Lachung River Basin, No," 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(2), pages 1199-1236, September.
    15. Dejan Radovan Đorđević & Uroš Đurić & Saša Tomislav Bakrač & Siniša Milanko Drobnjak & Stevan Radojčić, 2022. "Using Historical Aerial Photography in Landslide Monitoring: Umka Case Study, Serbia," Land, MDPI, vol. 11(12), pages 1-17, December.
    16. Xueling Wu & Ruiqi Mao & Xiaojia Guo, 2022. "Equilibrium of Tiered Healthcare Resources during the COVID-19 Pandemic in China: A Case Study of Taiyuan, Shanxi Province," IJERPH, MDPI, vol. 19(12), pages 1-17, June.
    17. Haixu Li & Noor Aimran Samsudin, 2025. "A systematic review of landslide research in urban planning worldwide," 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. 121(6), pages 6391-6411, April.
    18. Muhammad Awais Hussain & Shuai Zhang & Muhammad Muneer & Muhammad Aamir Moawwez & Muhammad Kamran & Ejaz Ahmed, 2022. "Assessing and Mapping Spatial Variation Characteristics of Natural Hazards in Pakistan," Land, MDPI, vol. 12(1), pages 1-40, December.
    19. Dimitrios E. Alexakis & George D. Bathrellos & Hariklia D. Skilodimou & Dimitra E. Gamvroula, 2021. "Spatial Distribution and Evaluation of Arsenic and Zinc Content in the Soil of a Karst Landscape," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    20. Weikun Zhang & Peng Gao & Zhe Chen & Hailan Qiu, 2023. "Preventing Agricultural Non-Point Source Pollution in China: The Effect of Environmental Regulation with Digitization," IJERPH, MDPI, vol. 20(5), pages 1-17, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:14:y:2022:i:7:p:3956-:d:780855. 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.