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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
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    References listed on IDEAS

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    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.
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