IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i22p10101-d1524537.html
   My bibliography  Save this article

Natural Hazard Assessment in the Southeastern Margin of the Ría de Arosa (Pontevedra, Spain) Using GIS Techniques

Author

Listed:
  • Carlos E. Nieto

    (Department of Geology, Faculty of Sciences, University of Salamanca, Merced Square, 37008 Salamanca, Spain)

  • Antonio Miguel Martínez-Graña

    (Department of Geology, Faculty of Sciences, University of Salamanca, Merced Square, 37008 Salamanca, Spain)

  • Leticia Merchán

    (Department of Soil Sciences, Faculty of Agricultural and Environmental Sciences, University of Salamanca, Filiberto Villalobos Avenue, 119, 37007 Salamanca, Spain)

Abstract

The characterization of natural hazards in coastal environments is of great necessity, especially in the current context of global climate change and increasing population concentrations. This research focuses on a multi-hazard analysis of the main geotechnical, geomorphological, hydrological, and lithological risks in the southeastern margin of the Ría de Arosa using Geographic Information System techniques. The integration of geotechnical characterization maps and natural hazard maps has allowed for the identification of areas with a high susceptibility to natural disasters, which is crucial for territorial planning and management in the context of growing urban pressure and global climate change. The results indicate that poorly consolidated surface formations, especially in transitional areas such as dunes and marshes, are particularly vulnerable. Additionally, areas with higher lithological competence have been identified, where slope changes contribute to ground instability. This analysis provides valuable tools for decision-making and the implementation of risk management policies, promoting sustainable development, the protection of coastal ecosystems, and the prevention of risks from urban planning and civil engineering activities in the Ría de Arosa.

Suggested Citation

  • Carlos E. Nieto & Antonio Miguel Martínez-Graña & Leticia Merchán, 2024. "Natural Hazard Assessment in the Southeastern Margin of the Ría de Arosa (Pontevedra, Spain) Using GIS Techniques," Sustainability, MDPI, vol. 16(22), pages 1-19, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:10101-:d:1524537
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/22/10101/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/22/10101/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoming Jin & Weixin Luan & Jun Yang & Wenze Yue & Shulin Wan & Di Yang & Xiangming Xiao & Bing Xue & Yue Dou & Fangzheng Lyu & Shaohua Wang, 2023. "From the coast to the interior: global economic evolution patterns and mechanisms," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    2. Leticia Merchán & Antonio Miguel Martínez-Graña & Carlos E. Nieto & Marco Criado, 2023. "Natural Hazard Characterisation in the Arribes del Duero Natural Park (Spain)," Land, MDPI, vol. 12(5), pages 1-17, April.
    3. Ljubomir Gigović & Dragan Pamučar & Zoran Bajić & Milić Milićević, 2016. "The Combination of Expert Judgment and GIS-MAIRCA Analysis for the Selection of Sites for Ammunition Depots," Sustainability, MDPI, vol. 8(4), pages 1-30, April.
    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. Serkan Karakas & Mehmet Kirmizi & Huseyin Gencer & Kevin Cullinane, 2024. "A resilience assessment model for dry bulk shipping supply chains: the case of the Ukraine grain corridor," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(3), pages 391-413, September.
    2. Darko Božanić & Dragan Pamucar & Ibrahim Badi & Duško Tešić, 2023. "A decision support tool for oil spill response strategy selection: application of LBWA and Z MABAC methods," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 24-58, March.
    3. Gigović, Ljubomir & Pamučar, Dragan & Božanić, Darko & Ljubojević, Srđan, 2017. "Application of the GIS-DANP-MABAC multi-criteria model for selecting the location of wind farms: A case study of Vojvodina, Serbia," Renewable Energy, Elsevier, vol. 103(C), pages 501-521.
    4. Ibrahim M. Hezam & Naga Rama Devi Vedala & Bathina Rajesh Kumar & Arunodaya Raj Mishra & Fausto Cavallaro, 2023. "Assessment of Biofuel Industry Sustainability Factors Based on the Intuitionistic Fuzzy Symmetry Point of Criterion and Rank-Sum-Based MAIRCA Method," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    5. Upreti, Naveen & Sunder, Raju Ganesh & Dalei, Narendra N. & Garg, Sandeep, 2018. "Challenges of India's power transmission system," Utilities Policy, Elsevier, vol. 55(C), pages 129-141.
    6. Veysi Asker, 2024. "Financial Performance Analysis Using the Merec-Based Cobra Method: An Application to Traditional and Low-Cost Airlines," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 35-52.
    7. Animesh Debnath & Jagannath Roy & Samarjit Kar & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2017. "A Hybrid MCDM Approach for Strategic Project Portfolio Selection of Agro By-Products," Sustainability, MDPI, vol. 9(8), pages 1-33, July.
    8. Mouhamed Bayane Bouraima & Nyamatari Anselem Tengecha & Željko Stević & Vladimir Simić & Yanjun Qiu, 2024. "An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system," Annals of Operations Research, Springer, vol. 342(1), pages 141-172, November.
    9. Alptekin Ulutaş & Darjan Karabasevic & Gabrijela Popovic & Dragisa Stanujkic & Phong Thanh Nguyen & Çağatay Karaköy, 2020. "Development of a Novel Integrated CCSD-ITARA-MARCOS Decision-Making Approach for Stackers Selection in a Logistics System," Mathematics, MDPI, vol. 8(10), pages 1-15, October.
    10. Dragan Pamučar & Ljubomir Gigović & Zoran Bajić & Miljojko Janošević, 2017. "Location Selection for Wind Farms Using GIS Multi-Criteria Hybrid Model: An Approach Based on Fuzzy and Rough Numbers," Sustainability, MDPI, vol. 9(8), pages 1-23, July.
    11. Pınar Çelebi Demirarslan & Fatma Sönmez Çakır & Ilkben Akansel, 2024. "Ranking the quality of life indexes by years in Asian countries using multi-criteria decision-making methods," Asia-Pacific Journal of Regional Science, Springer, vol. 8(3), pages 911-942, 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:gam:jsusta:v:16:y:2024:i:22:p:10101-:d:1524537. 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.