IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p598-d1316279.html
   My bibliography  Save this article

The High-Resolution Calibration of the Topographic Wetness Index Using PAZ Satellite Radar Data to Determine the Optimal Positions for the Placement of Smart Sustainable Drainage Systems (SuDS) in Urban Environments

Author

Listed:
  • Cristina Allende-Prieto

    (Civil, Environmental and Geomatics Engineering Research Unit (CEGE), Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain
    Department of Mining Exploitation and Prospecting, Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain)

  • Jorge Roces-García

    (Civil, Environmental and Geomatics Engineering Research Unit (CEGE), Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain
    Department of Construction and Manufacturing Engineering, Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain)

  • Luis Ángel Sañudo-Fontaneda

    (Civil, Environmental and Geomatics Engineering Research Unit (CEGE), Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain
    Department of Construction and Manufacturing Engineering, Polytechnic School of Mieres, University of Oviedo, 33003 Oviedo, Spain)

Abstract

This study addresses the growing interest in utilizing remote sensing tools for locating sustainable drainage systems (SuDS) in urban environments. SuDS, recognized as Nature-based Solutions (NbS), play a crucial role in enhancing urban resilience against climate change. This study focuses on the calibration process required to establish a correlation between the Topographic Wetness Index (TWI), derived from high-precision digital elevation models (DEMs), and soil moisture (SM) data obtained from satellite imaging. This calibration serves as a method to optimize the placement of sustainable urban drainage system vegetated techniques in urban areas. This study leveraged the exceptional resolution of PAZ satellite radar data to effectively detect variations in SM, particularly in grass-type vegetated land. The sensitivity of the X-band radar signal to moisture levels and changes in ground roughness proved valuable in tracking SM dynamics. The core of the study involved deriving the TWI from a high-resolution digital terrain model (DTM). The correlation between the TWI and SM values demonstrates robustness, with an R 2 value of 0.77. These findings significantly advance the calibration of TWI values with SM measurements, enhancing their practicality in identifying areas prone to water accumulation. The study’s outcomes provide valuable insights for guiding the strategic placement of SuDS in urban environments, contributing to the effective management of water-related challenges in the face of urbanization and climate change.

Suggested Citation

  • Cristina Allende-Prieto & Jorge Roces-García & Luis Ángel Sañudo-Fontaneda, 2024. "The High-Resolution Calibration of the Topographic Wetness Index Using PAZ Satellite Radar Data to Determine the Optimal Positions for the Placement of Smart Sustainable Drainage Systems (SuDS) in Urb," Sustainability, MDPI, vol. 16(2), pages 1-12, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:598-:d:1316279
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/598/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/598/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kendra Munn & Suzana Dragićević & Rob Feick, 2022. "Spatial Decision-Making for Dense Built Environments: The Logic Scoring of Preference Method for 3D Suitability Analysis," Land, MDPI, vol. 11(3), pages 1-22, March.
    2. Tone M. Muthanna & Edvard Sivertsen & Dennis Kliewer & Lensa Jotta, 2018. "Coupling Field Observations and Geographical Information System (GIS)-Based Analysis for Improved Sustainable Urban Drainage Systems (SUDS) Performance," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    3. R. Cantelmi & G. Di Gravio & R. Patriarca, 2021. "Reviewing qualitative research approaches in the context of critical infrastructure resilience," Environment Systems and Decisions, Springer, vol. 41(3), pages 341-376, September.
    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. Jesus Beyza & Jose M. Yusta, 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures," Energies, MDPI, vol. 14(7), pages 1-18, April.
    2. Federico Antonello & Piero Baraldi & Enrico Zio & Luigi Serio, 2022. "A Novel Metric to Evaluate the Association Rules for Identification of Functional Dependencies in Complex Technical Infrastructures," Environment Systems and Decisions, Springer, vol. 42(3), pages 436-449, September.
    3. Raziye Norouzi Masir & Mohammad Ataei & Farhang Sereshki, 2024. "A novel index for shearer system resilience in underground coal mines based on the operational environment," Journal of Risk and Reliability, , vol. 238(3), pages 475-501, June.
    4. Bridget Thodesen & Berit Time & Tore Kvande, 2022. "Sustainable Urban Drainage Systems: Themes of Public Perception—A Case Study," Land, MDPI, vol. 11(4), pages 1-19, April.
    5. Corinna Köpke & Jennifer Mielniczek & Christoph Roller & Kerstin Lange & Frank Sill Torres & Alexander Stolz, 2023. "Resilience management processes in the offshore wind industry: schematization and application to an export-cable attack," Environment Systems and Decisions, Springer, vol. 43(2), pages 161-177, June.
    6. Giulio Senes & Paolo Stefano Ferrario & Gianpaolo Cirone & Natalia Fumagalli & Paolo Frattini & Giovanna Sacchi & Giorgio Valè, 2021. "Nature-Based Solutions for Storm Water Management—Creation of a Green Infrastructure Suitability Map as a Tool for Land-Use Planning at the Municipal Level in the Province of Monza-Brianza (Italy)," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    7. Federico Antonello & Piero Baraldi & Enrico Zio & Luigi Serio, 2022. "A novelty-based multi-objective evolutionary algorithm for identifying functional dependencies in complex technical infrastructures from alarm data," Environment Systems and Decisions, Springer, vol. 42(2), pages 177-188, June.
    8. Bokolo Anthony, 2023. "Deployment of distributed ledger and decentralized technology for transition to smart industries," Environment Systems and Decisions, Springer, vol. 43(2), pages 298-319, June.
    9. Perera, A.T.D. & Hong, Tianzhen, 2023. "Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    10. Zachary A. Collier & James H. Lambert & Igor Linkov, 2021. "Integrating data from physical and social science to address emerging societal challenges," Environment Systems and Decisions, Springer, vol. 41(3), pages 331-333, September.
    11. Karakoc, Deniz Berfin & Barker, Kash & González, Andrés D., 2023. "Analyzing the tradeoff between vulnerability and recoverability investments for interdependent infrastructure networks," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    12. Mukesh Gautam & Timothy McJunkin & Ryan Hruska, 2024. "A Resilient Integrated Resource Planning Framework for Transmission Systems: Analysis and Optimization," Sustainability, MDPI, vol. 16(6), pages 1-20, March.
    13. Yang, Zhuyu & Barroca, Bruno & Laffréchine, Katia & Weppe, Alexandre & Bony-Dandrieux, Aurélia & Daclin, Nicolas, 2023. "A multi-criteria framework for critical infrastructure systems resilience," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    14. Mariusz Starzec & Józef Dziopak, 2020. "A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System," Resources, MDPI, vol. 9(9), pages 1-19, September.
    15. Liu, Yu & Maurer, Megan Lynn & Carstensen, Trine Agervig & Wagner, Anne Margrethe & Skov-Petersen, Hans & Olafsson, Anton Stahl, 2024. "An integrated approach for urban green travel environments: Planning factors, benefits and barriers as perceived by users and planners," Journal of Transport Geography, Elsevier, vol. 117(C).
    16. Guang Yang & Sara Chao & Jin Yeu Tsou & Yuanzhi Zhang, 2019. "Satellite Image-Based Methods of Spatiotemporal Analysis on Sustainable Urban Land Use Change and the Driving Factors: A Case Study in Caofeidian and the Suburbs, China," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    17. Mariachiara Piraina & Paolo Trucco, 2022. "Emergency management capabilities of interdependent systems: framework for analysis," Environment Systems and Decisions, Springer, vol. 42(2), pages 149-176, June.
    18. Bokolo Anthony Jnr & Sobah Abbas Petersen, 2023. "Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter," Environment Systems and Decisions, Springer, vol. 43(1), pages 36-53, March.
    19. Xintong Wang & Weimin Yang & Zhenhao Xu & Jie Hu & Yiguo Xue & Peng Lin, 2019. "A Normal Cloud Model-Based Method for Water Quality Assessment of Springs and Its Application in Jinan," Sustainability, MDPI, vol. 11(8), pages 1-16, April.

    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:2:p:598-:d:1316279. 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.