Editorial: Urban drainage in a context of climate and land cover changes

Jato-Espino, Daniel; Charlesworth, Susanne M.; Leitão, João P.; Sánchez, Juan Pablo Rodríguez

doi:10.3389/frwa.2022.1118338

Cited by 1 publication

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through the calibration of TWI values with soil moisture measurements, this study offers a valuable tool for optimizing the placement of sustainable drainage systems [45]. This contributes significantly to mitigating the impact of climate change in urban areas [46][47][48][49]. The innovative integration of high-resolution digital terrain models and radar-based soil moisture values ensures the accuracy of the TWI, even though the calibration is currently limited to a specific study area.…”

Section: Introductionmentioning

confidence: 99%

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

Allende-Prieto,

Roces-García,

Sañudo-Fontaneda

2024

Sustainability

View full text Add to dashboard Cite

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 R2 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.

show abstract

Section: Introductionmentioning

confidence: 99%