Enhancing Urban Flood Management for Ungauged Watersheds through Adaptive Mesh Refinement and Equation-based Flow Dynamics

Urban flood modelling in ungauged watersheds remains challenging due to rapid runoff dynamics and interactions with complex urban terrain. This study developed a 2D-hydrodynamic model for an ungauged basin using high-resolution DEM and land-cover data forced by 15-minute rainfall inputs. It compares Shallow Water Equations (SWE) and Diffusion Wave Equations (DWE) in simulating peak discharge, lag time, and hydraulic behaviour. SWE generated higher peak flows and longer response times, whereas DWE produced smoother hydrographs with faster wave propagation and improved numerical stability. Adaptive mesh refinement enhanced hydraulic representation and significantly reduced numerical volume errors compared with uniform meshes. The study contributes a hydraulically consistent framework that evaluates governing equation choice and mesh strategy using adaptive refinement and internally derived rating curves for structured comparative analysis in ungauged urban watersheds, offering a practical pathway for flood-risk assessment in rapidly urbanizing, data-scarce regions.

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Publication Details

Journal
Hydrological Sciences Journal
Published
2026-07-27
DOI
https://doi.org/10.1080/02626667.2026.2707175
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Enhancing Urban Flood Management for Ungauged Watersheds through Adaptive Mesh Refinement and Equation-based Flow Dynamics

Saumitra Rai, Akshay Kumar, Srinivas Rallapalli, Rajiv Gupta et al.
Hydrological Sciences Journal
Flood Risk Assessment and Management
article

Enhancing Urban Flood Management for Ungauged Watersheds through Adaptive Mesh Refinement and Equation-based Flow Dynamics

Saumitra Rai, Akshay Kumar, Srinivas Rallapalli, Rajiv Gupta, Nikhil Reddappa
article en

Abstract

Urban flood modelling in ungauged watersheds remains challenging due to rapid runoff dynamics and interactions with complex urban terrain. This study developed a 2D-hydrodynamic model for an ungauged basin using high-resolution DEM and land-cover data forced by 15-minute rainfall inputs. It compares Shallow Water Equations (SWE) and Diffusion Wave Equations (DWE) in simulating peak discharge, lag time, and hydraulic behaviour. SWE generated higher peak flows and longer response times, whereas DWE produced smoother hydrographs with faster wave propagation and improved numerical stability. Adaptive mesh refinement enhanced hydraulic representation and significantly reduced numerical volume errors compared with uniform meshes. The study contributes a hydraulically consistent framework that evaluates governing equation choice and mesh strategy using adaptive refinement and internally derived rating curves for structured comparative analysis in ungauged urban watersheds, offering a practical pathway for flood-risk assessment in rapidly urbanizing, data-scarce regions.

Hydrological Sciences Journal
Central Pollution Control Board (IN), University of Illinois Urbana-Champaign (US), Indian Institute of Technology Dhanbad (IN), Birla Institute of Technology and Science, Pilani (IN)
Sustainable cities and communities
Openalex Percentile: Top 11%
Flood Risk Assessment and Management
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Enhancing Urban Flood Management for Ungauged Watersheds through Adaptive Mesh Refinement and Equation-based Flow Dynamics — Saumitra Rai, Akshay Kumar, et al. · Hydrological Sciences Journal (2026) | TGRS Research Map | TGRS