IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v75y2015i2p1465-1488.html
   My bibliography  Save this article

Remote sensing-based studies coupled with field data reveal urgent solutions to avert the risk of flash floods in the Wadi Qus (east of Jeddah) Kingdom of Saudi Arabia

Author

Listed:
  • Ahmed Youssef
  • Biswajeet Pradhan
  • Saleh Sefry

Abstract

On November 25, 2009, heavy amount of rainfall precipitated in the city of Jeddah that led to floods causing unexpected loss of life (113 person died), and damaged public and private properties (10,000 cars were damaged/destroyed, and many houses, roads, highways, and industrial properties were also affected). The city of Jeddah is located within an independent mega drainage basin with a surface area of 1,760 km 2 . This mega basin is divided into three major sub-basins (northern, middle, and southern). Wadi Qus is located in the southern sub-basin with an area of ~63 km 2 . It passes through many of the neighborhoods such as Al-Harazat, Al-Sawaid, Queza, Al-Mesaid, Al-Haramin Highway, and the King Abdel Aziz University. These areas were severely damaged during the flash flood event in 2009. The current study deals with the determination of the best sites for the construction of flood control dams, followed by a number of detailed studies to ensure that these selected sites are appropriate. Geological, geotechnical, geophysical, and hydrological investigations were conducted to identify the types of rocks, the subsurface conditions, and the geotechnical properties of abutment and subsurface of soil and rock in the dam sites. The study found that there are three locations that can be appropriate for the construction of the flood control dams at Wadi Qus. Hydrological studies indicated that the runoff volumes for sub-basins B1, B2, and B3 are 2,102,709, 1,023,156, and 4,868,304 m 3 , respectively, for 500-year return period and 2,356,081, 1,149,687, and 5,451,123 m 3 , respectively, for 1,000-year return period. Comparing these values with the reservoir volumes calculated from the detailed ground survey with different dam’s height, it was found that dam’s heights of 15.5, 11.5, and 13.5 m for dams Q 01 , Q 02 , and Q 03 , respectively, are adequate for different basin volumes for 1,000-year return periods. Finally, the conceptual designs have been prepared and recommended for these dams. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ahmed Youssef & Biswajeet Pradhan & Saleh Sefry, 2015. "Remote sensing-based studies coupled with field data reveal urgent solutions to avert the risk of flash floods in the Wadi Qus (east of Jeddah) Kingdom of Saudi Arabia," 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. 75(2), pages 1465-1488, January.
  • Handle: RePEc:spr:nathaz:v:75:y:2015:i:2:p:1465-1488
    DOI: 10.1007/s11069-014-1383-1
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-014-1383-1
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-014-1383-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joy Sanyal & X. Lu, 2004. "Application of Remote Sensing in Flood Management with Special Reference to Monsoon Asia: A Review," 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. 33(2), pages 283-301, October.
    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. Dibyendu Samantaray & Chandranath Chatterjee & Rajendra Singh & Praveen Gupta & Sushma Panigrahy, 2015. "Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in 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. 76(1), pages 347-372, March.
    2. Nizamud Din Essa & Muneeb Aamir, 2019. "Analysis of Flood Damage Assessment through WorldView-2, Quick Bird and Multispectral Satellite Imagery in Southern Punjab, Pakistan," International Journal of Innovations in Science & Technology, 50sea, vol. 1(3), pages 120-139, July.
    3. Akiko Masuya & Ashraf Dewan & Robert Corner, 2015. "Population evacuation: evaluating spatial distribution of flood shelters and vulnerable residential units in Dhaka with geographic information systems," 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. 78(3), pages 1859-1882, September.
    4. Anoop Kumar Mishra & Mohammad Suhail Meer & Vanganuru Nagaraju, 2019. "Satellite-based monitoring of recent heavy flooding over north-eastern states of India in July 2019," 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. 97(3), pages 1407-1412, July.
    5. Álvarez, Xana & Gómez-Rúa, María & Vidal-Puga, Juan, 2019. "Risk prevention of land flood: A cooperative game theory approach," MPRA Paper 91515, University Library of Munich, Germany.
    6. Kashfia Nowrin Choudhury & Helmut Yabar & Takeshi Mizunoya, 2022. "GIS and remote sensing-based spatiotemporal analysis of cumulative flood risk over Bangladesh’s national highways," Asia-Pacific Journal of Regional Science, Springer, vol. 6(1), pages 335-364, February.
    7. Rei Itsukushima & Kazuaki Ohtsuki & Tatsuro Sato, 2019. "Influence of Microtopography and Alluvial Lowland Characteristics on Location and Development of Residential Areas in the Kuji River Basin of Japan," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    8. Mahnaz Gumrukcuoglu & Douglas Goodin & Charles Martin, 2010. "Landuse change in upper Kansas river floodplain: following the 1993 flood," 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. 55(2), pages 467-479, November.
    9. Seda Ertan & Rahmi Nurhan Çelik, 2021. "The Assessment of Urbanization Effect and Sustainable Drainage Solutions on Flood Hazard by GIS," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    10. Kumar Gaurav & R. Sinha & P. Panda, 2011. "The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data," 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 1815-1826, December.
    11. Enrique Barajas & Sara Álvarez & Elena Fernández & Sergio Vélez & José Antonio Rubio & Hugo Martín, 2020. "Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio ( Pistacia vera L.)," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    12. Yunlan Zhang & Xiaomin Jiang & Feng Zhang, 2024. "Urban Flood Resilience Assessment of Zhengzhou Considering Social Equity and Human Awareness," Land, MDPI, vol. 13(1), pages 1-23, January.
    13. Elena Sava & Laura Clemente-Harding & Guido Cervone, 2017. "Supervised classification of civil air patrol (CAP)," 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 535-556, March.
    14. Joy Sanyal & Patrice Carbonneau & Alexander Densmore, 2013. "Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, 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. 66(2), pages 1153-1177, March.
    15. Zhicheng Wang & Zhiqiang Gao, 2022. "Dynamic monitoring of flood disaster based on remote sensing data cube," 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. 114(3), pages 3123-3138, December.
    16. Md. Shahinoor Rahman & Liping Di, 2017. "The state of the art of spaceborne remote sensing in flood management," 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(2), pages 1223-1248, January.
    17. Boni Su & Hong Huang & Yuntao Li, 2016. "Integrated simulation method for waterlogging and traffic congestion under urban rainstorms," 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. 81(1), pages 23-40, March.
    18. Sushila Rijal & Bhagawat Rimal & Sean Sloan, 2018. "Flood Hazard Mapping of a Rapidly Urbanizing City in the Foothills (Birendranagar, Surkhet) of Nepal," Land, MDPI, vol. 7(2), pages 1-13, May.
    19. Gheorghe Romanescu & Catalin I. Cimpianu & Alin Mihu-Pintilie & Cristian C. Stoleriu, 2017. "Historic flood events in NE Romania (post-1990)," Journal of Maps, Taylor & Francis Journals, vol. 13(2), pages 787-798, November.
    20. Rajesh Kumar & Prasenjit Acharya, 2016. "Flood hazard and risk assessment of 2014 floods in Kashmir Valley: a space-based multisensor 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. 84(1), pages 437-464, October.

    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:spr:nathaz:v:75:y:2015:i:2:p:1465-1488. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.