IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p13513-d696633.html
   My bibliography  Save this article

Flood-Prone Area Delineation in Urban Subbasins Based on Stream Ordering: Culiacan Urban Basin as a Study Case

Author

Listed:
  • Antonio J. Sanhouse-García

    (Departamento de Tecnología Ambiental, Universidad Tecnológica de Culiacán, Carretera Culiacán-Imala Km 2, Col. Los Ángeles, Culiacán 80014, Mexico)

  • Jesús Gabriel Rangel-Peraza

    (División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, Juan de Dios Batíz 310. Col. Guadalupe, Culiacán 80220, Mexico)

  • Sergio A. Rentería-Guevara

    (Facultad de Ingeniería, Universidad Autónoma de Sinaloa, Circuito Interior Oriente SN, Cd Universitaria, Culiacán 80040, Mexico)

  • Yaneth A. Bustos-Terrones

    (División de Estudios de Posgrado e Investigación, CONACYT-Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, Juan de Dios Batíz 310. Col. Guadalupe, Culiacán 80220, Mexico)

  • Zuriel D. Mora-Félix

    (División de Estudios de Posgrado e Investigación, Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, Juan de Dios Batíz 310. Col. Guadalupe, Culiacán 80220, Mexico)

  • Wenseslao Plata-Rocha

    (Facultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa, Circuito Interior Oriente SN, Cd Universitaria, Culiacán 80040, Mexico)

  • Sergio Alberto Monjardin-Armenta

    (Facultad de Ciencias de la Tierra y el Espacio, Universidad Autónoma de Sinaloa, Circuito Interior Oriente SN, Cd Universitaria, Culiacán 80040, Mexico)

Abstract

Urban development decreases infiltration, increases the runoff velocity, and reduces the concentration times. This situation increases the flood risk in urban watersheds, which represent a management challenge for urban communities and authorities. To increase the resilience of communities due to modifications of the hydrological cycle produced by climate change and urban development, a methodology is proposed to delineate flood-prone areas in urban basins. This methodology is implemented in an urban subbasin of Culiacan, Mexico, and is based on stream order. A high-resolution digital elevation model was used, which was validated independently through a photogrammetric flight with an unmanned aerial vehicle and ground control points obtained with GNSS (global navigation satellite systems) receivers. Morphometric parameters related to geometry, shape, relief, and drainage network aspects of the subbasin were determined and analyzed. Then, flood-prone area zonation was carried out based on stream-order classification and flow direction. Fieldwork was also carried out for the inspection of the sewage network conditions. This methodology simplifies the identification of the flood-prone areas in urban subbasins without carrying out complex hydraulic calculations.

Suggested Citation

  • Antonio J. Sanhouse-García & Jesús Gabriel Rangel-Peraza & Sergio A. Rentería-Guevara & Yaneth A. Bustos-Terrones & Zuriel D. Mora-Félix & Wenseslao Plata-Rocha & Sergio Alberto Monjardin-Armenta, 2021. "Flood-Prone Area Delineation in Urban Subbasins Based on Stream Ordering: Culiacan Urban Basin as a Study Case," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13513-:d:696633
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/13513/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/24/13513/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Kabenge & Joshua Elaru & Hongtao Wang & Fengting Li, 2017. "Characterizing flood hazard risk in data-scarce areas, using a remote sensing and GIS-based flood hazard index," 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(3), pages 1369-1387, December.
    2. Fabio Recanatesi & Andrea Petroselli, 2020. "Land Cover Change and Flood Risk in a Peri-Urban Environment of the Metropolitan Area of Rome (Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(14), pages 4399-4413, November.
    3. Qinghe Zhao & Shengyan Ding & Xiaoyu Ji & Zhendong Hong & Mengwen Lu & Peng Wang, 2021. "Relative Contribution of the Xiaolangdi Dam to Runoff Changes in the Lower Yellow River," Land, MDPI, vol. 10(5), pages 1-21, May.
    4. Sanjay Jain & R. Singh & M. Jain & A. Lohani, 2005. "Delineation of Flood-Prone Areas Using Remote Sensing Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(4), pages 333-347, August.
    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. Ehsan H. Chowdhury & Quazi K. Hassan, 2017. "Use of remote sensing data in comprehending an extremely unusual flooding event over southwest 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. 88(3), pages 1805-1823, September.
    2. Bosco Bwambale & Martine Nyeko & John Sekajugo & Matthieu Kervyn, 2022. "The essential contribution of indigenous knowledge to understanding natural hazards and disaster risk: historical evidence from the Rwenzori (Uganda)," 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. 110(3), pages 1847-1867, February.
    3. 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.
    4. Alaa Ahmed & Abdullah Alrajhi & Abdulaziz Alquwaizany & Ali Al Maliki & Guna Hewa, 2022. "Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    5. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    6. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," 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 629-653, March.
    7. Gergely Tóth & Eva Ivits & Gundula Prokop & Mirko Gregor & Jaume Fons-Esteve & Roger Milego Agràs & Emanuele Mancosu, 2022. "Impact of Soil Sealing on Soil Carbon Sequestration, Water Storage Potentials and Biomass Productivity in Functional Urban Areas of the European Union and the United Kingdom," Land, MDPI, vol. 11(6), pages 1-15, June.
    8. Megdouda Smail & Zoubir Boubaker & Mohamed Sbabdji & Habib Mouaissa & Bimare Kombate, 2024. "Detecting land use/land cover changes and forest degradation: A case study of the lower Soummam valley, northern Algeria," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 70(3), pages 122-134.
    9. Giacomo Bernello & Elena Mondino & Lucia Bortolini, 2022. "People’s Perception of Nature-Based Solutions for Flood Mitigation: The Case of Veneto Region (Italy)," Sustainability, MDPI, vol. 14(8), pages 1-13, April.
    10. Preeti Ramkar & Sanjaykumar M. Yadav, 2021. "Flood risk index in data-scarce river basins using the AHP and GIS 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. 109(1), pages 1119-1140, October.
    11. 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.
    12. Davide Marino & Margherita Palmieri & Angelo Marucci & Mariangela Soraci & Antonio Barone & Silvia Pili, 2023. "Linking Flood Risk Mitigation and Food Security: An Analysis of Land-Use Change in the Metropolitan Area of Rome," Land, MDPI, vol. 12(2), pages 1-23, January.
    13. Pradeep Rawat & Prakash Tiwari & Charu Pant, 2012. "Geo-hydrological database modeling for integrated multiple hazards and risk assessment in Lesser Himalaya: a GIS-based case study," 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. 62(3), pages 1233-1260, July.
    14. Nikunj K. Mangukiya & Ashutosh Sharma, 2022. "Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework," 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 1285-1304, September.
    15. Joy Sanyal & Alexander Densmore & Patrice Carbonneau, 2014. "2D Finite Element Inundation Modelling in Anabranching Channels with Sparse Data: Examination of Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2351-2366, June.
    16. Ciro Apollonio & Andrea Petroselli & Flavia Tauro & Manuela Cecconi & Chiara Biscarini & Claudio Zarotti & Salvatore Grimaldi, 2021. "Hillslope Erosion Mitigation: An Experimental Proof of a Nature-Based Solution," Sustainability, MDPI, vol. 13(11), pages 1-14, May.
    17. Chengwei Lu & Jianzhong Zhou & Zhongzheng He & Shuai Yuan, 2018. "Evaluating typical flood risks in Yangtze River Economic Belt: application of a flood risk mapping framework," 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. 94(3), pages 1187-1210, December.
    18. Chandra Sharma & Mukund Behera & Atmaram Mishra & Sudhindra Panda, 2011. "Assessing Flood Induced Land-Cover Changes Using Remote Sensing and Fuzzy Approach in Eastern Gujarat (India)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3219-3246, October.
    19. Qinghe Zhao & Shengyan Ding & Zihan Geng & Xunling Lu & Zhendong Hong & Yi Liu & Jinhai Yu, 2022. "Concentration, Health Risk, and Hydrological Forcing of Heavy Metals in Surface Water Following Water-Sediment Regulation of the Xiaolangdi Dam in the Yellow River," IJERPH, MDPI, vol. 19(9), pages 1-17, May.
    20. Alexandru Hegyi & Athos Agapiou, 2023. "Rapid Assessment of 2022 Floods around the UNESCO Site of Mohenjo-Daro in Pakistan by Using Sentinel and Planet Labs Missions," Sustainability, MDPI, vol. 15(3), pages 1-16, January.

    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:13:y:2021:i:24:p:13513-:d:696633. 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.