Climate responsive design for road surface drainage systems: a case study for city of Bengaluru

• Published in: Urban water journal Vol. 21; no. 3; pp. 295 - 307
• Main Authors: Kalore, Shubham, Yashas, V, Bagrecha, Aman, Nypunya, J, Sivakumar Babu, G L
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 15.03.2024; Taylor & Francis Ltd
• Subjects: Adequacy; Algorithms; catchment area; Climate change; Climate models; Design; Drainage systems; Drains; Geographic information systems; Geographical information systems; Global climate; Global climate models; Information systems; Land use; non-stationary IDF; Precipitation; Rainfall; rainfall disaggregation; Rainfall intensity; Remote sensing; Road design; Road surface drainage; Roads; Roadsides; Satellite imagery; Surface drainage; Temporal resolution; Watersheds; Workflow
• ISSN: 1573-062X; 1744-9006
• DOI: 10.1080/1573062X.2023.2287049

This study proposes a Geographic Information System (GIS) based algorithmic design of surface road drainage systems. The algorithm identifies a mechanistic workflow based on the rational method to estimate runoff. The approach leverages satellite imagery to delineate contributing watersheds and predict the land-use class for design roads. Rainfall intensity is determined from high temporal resolution climate corrected Intensity-Duration-Frequency curves derived from cascade modelling and non-stationarity analysis based on Global Climate Models. The proposed algorithm predicts the cross-sectional area of drains considering climate change-induced rainfall correction factor of 1.14 derived from a multi ensemble of 9 RCMs with RCP4.5 scenario. The algorithm is applied to 27 roads in Bengaluru City to check the adequacy of drains. Results show an average increase of 15.7% in rainfall intensity for a five-year return, reflecting a 13.3% average increase in the cross-sectional area of roadside drains.