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Academic Journal of Architecture and Geotechnical Engineering, 2026, 8(1); doi: 10.25236/AJAGE.2026.080103.

Urban Hydrology Modelling Assignment: HEC-HMS Assessment of Urbanisation and Detention Basin Performance

Author(s)

Boyang Zou

Corresponding Author:
Boyang Zou
Affiliation(s)

School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia

Abstract

Urbanization exacerbates flood risk because of the augmentation of hard surfaces. The study assesses the effects of full urbanization on the small campus runoff contributing to the Village Green at the University of New South Wales (Sydney) and the role of an on-site detention basin in peak flow attenuation. The semi-distributed rainfall-runoff model was developed in the ARR 2019 event-based structure in the HEC-HMS platform, and a 1% AEP, 2-hour duration storms were run using the entire set of ten rainfall temporal pattern ensemble members. Peak increases at the critical rainfall pattern from 6.18 to 16.55 m³/s (with an augmentation of 168%), and time to peak drops from 2.50 to 1.83 hours in the post-development scenario. Using the MDA method, a subsequent staged outlet (600mm orifice, and 5m overflow weir with 1.8m crest) resulted in peak outflow of 5.95m³/s, capitalizing on approximately 18,500 m³ of effective storage, fully restoring peak-flow equity. Detention will prove highly effective at restoring peak-flow equity, but the temporal pattern of rainfall will play a fundamental role in designing the structure.

Keywords

Urban Hydrology, Rainfall-Runoff Modelling, Detention Basin, Design Storm, HEC-HMS

Cite This Paper

Boyang Zou. Urban Hydrology Modelling Assignment: HEC-HMS Assessment of Urbanisation and Detention Basin Performance. Academic Journal of Architecture and Geotechnical Engineering (2026), Vol. 8, Issue 1: 20-27. https://doi.org/10.25236/AJAGE.2026.080103.

References

[1]  Arthur J .Observing and modelling ice sheet hydrology[J].Reference Module in Earth Systems and Environmental Sciences, 2025.DOI:10.1016/b978-0-323-85242-5.00030-0.

[2] Dadaser-Celik F .Modelling Climate Change Impacts on Watershed Hydrology Using SWAT[J]. Water and Wastewater Management, 2024:43-54.DOI:10.1007/978-3-031-72589-0_4.

[3] Koech N C .Understanding the Hydrology of the Nyando River Basin using Hydrological Modelling[J]. International Journal of Science and Research (IJSR), 2024, 13(7):184-195. DOI:10.21275/sr24629001557.

[4]  Ardid A , Pahlow M , Dempsey D .Integrating machine learning into hydrology education with a focus on river flow modelling[J].Journal of Hydrology (00221708), 2024, 63(2).

[5] Molnar P, Meierhans S, Battista G, et al. Non-uniqueness in sediment transport in river network hydrology-sediment modelling[J]. European Geosciences Union interactive community, 2025. DOI:10.5194/egusphere-egu24-19175.

[6] Reverdy A, Gupta A, Lay M L, et al. Critical zone modelling for alpine catchments: towards a calibration-light model of snow hydrology[J].  European Geosciences Union interactive community, 2025. DOI:10.5194/egusphere-egu24-10151.

[7] Karimi S .Peatland hydrology in boreal Sweden: Modelling, long-term data analysis, and experimental rewetting[J].Acta Universitatis Agriculturae Sueciae, 2024.DOI:10.54612/a.1lmvjl13b6.

[8] Bizhanimanzar M , Larocque M , Roux M .Improvement of Soil Water Assessment Tool (SWAT) wetland module for modelling of ephemeral pond hydrology[J]. Hydrological Processes, 2024, 38(3). DOI:10.1002/hyp.15114.

[9] Mudiyanselage C I, Ismael D. Modelling the Impact of Climate Change on Hydrology in a Humid Subtropical Watershed: A Case Study for Upper James Watershed in Virginia, USA[J]. SSRN Electronic Journal, 2024.DOI:10.2139/ssrn.5021745.

[10] Deane D C , Casanova M T , Nicol J ,et al.Modelling relative richness of flooding-response groups to predict hydrology-driven change in wetland plant communities[J]. Ecological Indicators, 2025, 171:113163.DOI:10.1016/j.ecolind.2025.113163.