IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14145-d957737.html
   My bibliography  Save this article

Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia

Author

Listed:
  • Saad S. Alarifi

    (Department of Geology and Geophysics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia)

  • Mohamed Abdelkareem

    (Geology Department, South Valley University, Qena 83523, Egypt)

  • Fathy Abdalla

    (Geology Department, South Valley University, Qena 83523, Egypt)

  • Mislat Alotaibi

    (Department of Geosciences, University of Arkansas, Fayetteville, AR 72704, USA)

Abstract

Flash flooding is one of the most significant natural disasters in arid/hyperarid regions and causes vast property damage and a large number of deaths. For mitigating and reducing flood risks, data from several remote sensing satellite images—Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM), Landsat 8 Operational Land Imager (OLI), and Tropical Rainfall Measuring Mission (TRMM)—were prepared and combined through a GIS-based multicriteria decision-making technique to test and delineate the flash flood vulnerable areas of Wadi Hali in southwestern Saudi Arabia. Several flash flood thematic layers representing topographic, geomorphic, climatic, and hydrological conditions were prepared, normalized, and combined through a GIS- based analytic hierarchy process (AHP) technique to obtain flash flood hazard zones (FFHs). This method successfully presented a satisfactory output map that revealed six zones of flood risk, and areas of extreme hazard covered about 13% of the entire basin. Landsat 8 band composite 7, 5, and 3 and field data validated the FFHs. This map considered a key requirement for sustaining safe settlements downstream of Wadi Hali. Overall, the integration of remote sensing and GIS techniques revealed significant areas of flash flood zones in an arid region.

Suggested Citation

  • Saad S. Alarifi & Mohamed Abdelkareem & Fathy Abdalla & Mislat Alotaibi, 2022. "Flash Flood Hazard Mapping Using Remote Sensing and GIS Techniques in Southwestern Saudi Arabia," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14145-:d:957737
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14145/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/21/14145/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ujjayini Priya & Muhammad Anwar Iqbal & Mohammed Abdus Salam & Md. Nur-E-Alam & Mohammed Faruque Uddin & Abu Reza Md. Towfiqul Islam & Showmitra Kumar Sarkar & Saiful Islam Imran & Aweng Eh Rak, 2022. "Sustainable Groundwater Potential Zoning with Integrating GIS, Remote Sensing, and AHP Model: A Case from North-Central Bangladesh," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    2. Saeid Janizadeh & Mohammadtaghi Avand & Abolfazl Jaafari & Tran Van Phong & Mahmoud Bayat & Ebrahim Ahmadisharaf & Indra Prakash & Binh Thai Pham & Saro Lee, 2019. "Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. Peyman Yariyan & Saeid Janizadeh & Tran Phong & Huu Duy Nguyen & Romulus Costache & Hiep Le & Binh Thai Pham & Biswajeet Pradhan & John P. Tiefenbacher, 2020. "Improvement of Best First Decision Trees Using Bagging and Dagging Ensembles for Flood Probability Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3037-3053, July.
    4. Lorena Liuzzo & Vincenzo Sammartano & Gabriele Freni, 2019. "Comparison between Different Distributed Methods for Flood Susceptibility Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3155-3173, July.
    5. Chen Cao & Peihua Xu & Yihong Wang & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas," Sustainability, MDPI, vol. 8(9), pages 1-18, September.
    6. Paolo Billi & Yonas Alemu & Rossano Ciampalini, 2015. "Increased frequency of flash floods in Dire Dawa, Ethiopia: Change in rainfall intensity or human impact?," 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(2), pages 1373-1394, March.
    7. Mohamed Abdelkareem, 2017. "Targeting flash flood potential areas using remotely sensed data and GIS 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. 85(1), pages 19-37, January.
    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. Othman, Abdullah & El-Saoud, Waleed A. & Habeebullah, Turki & Shaaban, Fathy & Abotalib, Abotalib Z., 2023. "Risk assessment of flash flood and soil erosion impacts on electrical infrastructures in overcrowded mountainous urban areas under climate change," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

    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. Eseosa Halima Ighile & Hiroaki Shirakawa & Hiroki Tanikawa, 2022. "Application of GIS and Machine Learning to Predict Flood Areas in Nigeria," Sustainability, MDPI, vol. 14(9), pages 1-33, April.
    2. Qiang Hu & Yuelong Zhu & Hexuan Hu & Zhuang Guan & Zeyu Qian & Aiming Yang, 2022. "Multiple Kernel Learning with Maximum Inundation Extent from MODIS Imagery for Spatial Prediction of Flood Susceptibility," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 55-73, January.
    3. Mohamed Abdelkareem & Abbas M. Mansour, 2023. "Risk assessment and management of vulnerable areas to flash flood hazards in arid regions using remote sensing and GIS-based knowledge-driven 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. 117(3), pages 2269-2295, July.
    4. Shuhang Li & Mohamed Abdelkareem & Nassir Al-Arifi, 2023. "Mapping Groundwater Prospective Areas Using Remote Sensing and GIS-Based Data Driven Frequency Ratio Techniques and Detecting Land Cover Changes in the Yellow River Basin, China," Land, MDPI, vol. 12(4), pages 1-20, March.
    5. Mohammad Reza Mansouri Daneshvar & Friedemann T. Freund & Majid Ebrahimi, 2023. "Spatial and Temporal Analysis of Climatic Precursors before Major Earthquakes in Iran (2011–2021)," Sustainability, MDPI, vol. 15(14), pages 1-30, July.
    6. Henrich Grežo & Matej Močko & Martin Izsóff & Gréta Vrbičanová & František Petrovič & Jozef Straňák & Zlatica Muchová & Martina Slámová & Branislav Olah & Ivo Machar, 2020. "Flood Risk Assessment for the Long-Term Strategic Planning Considering the Placement of Industrial Parks in Slovakia," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    7. Binh Thai Pham & Chongchong Qi & Lanh Si Ho & Trung Nguyen-Thoi & Nadhir Al-Ansari & Manh Duc Nguyen & Huu Duy Nguyen & Hai-Bang Ly & Hiep Van Le & Indra Prakash, 2020. "A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    8. Abdulwaheed Tella & Abdul-Lateef Balogun, 2020. "Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria," 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(3), pages 2277-2306, December.
    9. Hossain, Mohammad Khalid & Meng, Qingmin, 2020. "A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood," Land Use Policy, Elsevier, vol. 99(C).
    10. Vangelis Pitidis & Deodato Tapete & Jon Coaffee & Leon Kapetas & João Porto de Albuquerque, 2018. "Understanding the Implementation Challenges of Urban Resilience Policies: Investigating the Influence of Urban Geological Risk in Thessaloniki, Greece," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
    11. Md. Uzzal Mia & Tahmida Naher Chowdhury & Rabin Chakrabortty & Subodh Chandra Pal & Mohammad Khalid Al-Sadoon & Romulus Costache & Abu Reza Md. Towfiqul Islam, 2023. "Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer," Land, MDPI, vol. 12(4), pages 1-26, April.
    12. Mohammed Sarfaraz Gani Adnan & Ashraf Dewan & Khatun E. Zannat & Abu Yousuf Md Abdullah, 2019. "The use of watershed geomorphic data in flash flood susceptibility zoning: a case study of the Karnaphuli and Sangu river basins of Bangladesh," 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(1), pages 425-448, October.
    13. Viet-Tien Nguyen & Trong Hien Tran & Ngoc Anh Ha & Van Liem Ngo & Al-Ansari Nadhir & Van Phong Tran & Huu Duy Nguyen & Malek M. A. & Ata Amini & Indra Prakash & Lanh Si Ho & Binh Thai Pham, 2019. "GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam," Sustainability, MDPI, vol. 11(24), pages 1-24, December.
    14. Soha A. Mohamed & Mohamed E. El-Raey, 2020. "Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai, Egypt," 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(2), pages 707-728, June.
    15. Yanrong Liu & Zhongqiu Meng & Lei Zhu & Di Hu & Handong He, 2023. "Optimizing the Sample Selection of Machine Learning Models for Landslide Susceptibility Prediction Using Information Value Models in the Dabie Mountain Area of Anhui, China," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    16. Neslihan Beden & Nazire Göksu Soydan-Oksal & Sema Arıman & Hayatullah Ahmadzai, 2023. "Delineation of a Groundwater Potential Zone Map for the Kızılırmak Delta by Using Remote-Sensing-Based Geospatial and Analytical Hierarchy Processes," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    17. Liying Sun & Bingjuan Ma & Liang Pei & Xiaohang Zhang & John L. Zhou, 2021. "The relationship of human activities and rainfall-induced landslide and debris flow hazards in Central China," 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. 107(1), pages 147-169, May.
    18. Romulus Costache, 2019. "Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3239-3256, July.
    19. Abu Reza Md. Towfiqul Islam & Md. Mijanur Rahman Bappi & Saeed Alqadhi & Ahmed Ali Bindajam & Javed Mallick & Swapan Talukdar, 2023. "Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries," 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 1-37, October.
    20. Raoof Mostafazadeh & Amir Sadoddin & Abdolreza Bahremand & Vahed Berdi Sheikh & Arash Zare Garizi, 2017. "Scenario analysis of flood control structures using a multi-criteria decision-making technique in Northeast 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. 87(3), pages 1827-1846, July.

    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:21:p:14145-:d:957737. 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.