EventsThe 1st International Online Conference on CivilEng
Published
This submission belongs to the session S4. Water Resources and Coastal Engineering of the event The 1st International Online Conference on CivilEng
Published date
09 Nov, 2026
Academic Editor
author-avatarJaan H. Pu
Contribution&Funding
Conceptualization,
[Rajiv Oinam]
Methodology,
[Rajiv Oinam]
Software,
[Rajiv Oinam]
Validation,
[Rajiv Oinam]
Formal analysis,
[Thangjam Somchand Singh]
Investigation,
[Rajiv Oinam]
Data curation,
[Rajiv Oinam]
Writing - original draft,
[Rajiv Oinam]
Writing - review,
[editing] ; [Rajiv Oinam]
Visualization,
[Rajiv Oinam]
Supervision,
[Thangjam Somchand Singh]
Funding: No external funding was received for this research.
Citation
Rajiv Oinam, Thangjam Somchand Singh, Comparative Climate Resilience of Wetland Retention Systems: Storage Adequacy and Failure Thresholds under Amplified Design Rainfall, in Proceedings of The 1st International Online Conference on CivilEng, 12 November–13 November 2026, MDPI: Basel, Switzerland
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Comparative Climate Resilience of Wetland Retention Systems: Storage Adequacy and Failure Thresholds under Amplified Design Rainfall

Thangjam Somchand Singh 1
1. Civil Engineering, Manipur Institute of Technology, Manipur University., Imphal West, 795001, India
Abstract

Introduction: Climate-resilient stormwater infrastructure requires assessment beyond conventional design-storm adequacy. This study demonstrates how a validated Digital Twin can be repurposed as a controlled climate stress-testing environment to identify infrastructure-specific resilience thresholds in a wetland catchment.

Methods: The prototype Digital Twin was applied to the 128.2 ha Yaralpat wetland catchment, Northeast India, integrating Empirical Quantile Mapping (EQM)-corrected PERSIANN-CDR rainfall, a calibrated EPA SWMM 5 hydrological–hydraulic model, and NSGA-II-based retention-basin optimization. EQM was selected from five bias-correction methods based on validation against 23 years of gauge observations and hydrological consistency. Two fixed infrastructure configurations were evaluated: Configuration A, comprising two basins with 92,610.32 m³ total capacity, and Configuration B, comprising five basins with 224,698.22 m³ capacity reconciled to SWMM-simulated event runoff. The validated 25-year, 24-hour rainfall of 233.06 mm was progressively amplified by 10%, 20%, 25%, 30%, 40%, and 50%, while model parameters and infrastructure geometry remained unchanged.

Results: Configuration A produced 18,740 m³ of flooding under the baseline event, increasing to 97,682 m³ at +50% rainfall. Configuration B eliminated baseline flooding and maintained zero simulated flooding through +25% amplification, although storage utilization increased from 74.5% to 98.9%. Flooding commenced at +30%, reaching 9,335 m³, and increased to 59,125 m³ at +50%. Thus, the resilience threshold was bracketed between +25% and +30% rainfall amplification.

Conclusions: The results demonstrate that Digital Twin stress testing can convert conventional design verification into a quantitative resilience assessment by revealing degradation trajectories and system-specific failure thresholds. The framework provides a transferable basis for climate-adaptive wetland stormwater planning and for incorporating explicit resilience margins into future infrastructure optimization.

Keywords
Digital Twin; EPA SWMM; climate stress testing; resilience threshold; stormwater infrastructure; retention basin optimization.
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