Evaluating the Performance of a Hydrological Model to Represent Curbside Distributed Infiltration Wells in a Residential Catchment
Publication: Journal of Hydrologic Engineering
Volume 26, Issue 8
Abstract
Stormwater managers use hydrological models to understand the runoff management performance of stormwater systems in urban catchments. However, few published studies attempted to evaluate the performance of hydrological models to represent water sensitive urban design (WSUD) elements at a catchment scale. This study reported on an evaluation of the Storm Water Management Model (SWMM) to represent a study catchment before installing leaky well systems in the catchment (preinstallation) and after introducing leaky wells (postinstallation). The process of representing individual leaky well systems using the user-defined hydraulic storage node or the built-in infiltration trench tools was also compared. The modeling approaches were evaluated against observed flow and infiltration data based on goodness-of-fit statistics, including the Nash-Sutcliffe Efficiency (NSE) and Kolmogorov-Smirnov (K-S) test for the catchment model. The results of goodness-of-fit tests and a K-S test indicated that SWMM can simulate a statistically similar runoff series to the observed series before and after the installation of leaky wells in the catchment. The ability of SWMM to model a leaky well performance using the storage or a built-in infiltration node was also evaluated using goodness-of-fit statistics against adopted criteria for good models. The results of model calibration and validations demonstrated that SWMM was able to simulate the performance of leaky well systems at the catchment scale, and the best performance was achieved by adopting a storage node to represent leaky wells. The model evaluation as per the adopted criteria indicated that the storage node model is suitable for assessing the impacts of leaky wells on stormwater runoff volume and peak flow rates.
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Data Availability Statement
Some or all of the data, models, or code that support the findings of this study are available from the corresponding author on reasonable request, including
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Rainfall and runoff data (observed and simulated), 2016–2018,
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Leaky well–water level data (as used for calibration), and
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Catchment GIS map used to develop the hydrological model.
Acknowledgments
The authors acknowledge the support of the city of Mitcham, the Adelaide and Mount Lofty Ranges Natural Resources Management Board, the government of South Australia’s Department for Environment and Water, and the assistance of Russell King. Funding provided enabled the experiment but did not influence its design, the collection, analysis, and interpretation of data, the drafting of this paper, or the decision to submit this paper for publication. The authors acknowledge the Computational Hydraulics International (CHI) for providing the PCSWMM software as in-kind support to the project.
References
Argue, J. R., M. D. Allen, W. F. Geiger, L. D. Johnston, D. Pezzaniti, and P. Scott. 2013. Water sensitive urban design: Basic procedures for ‘source control’ of stormwater: A handbook for Australian practice. Edited by J. R. Argue. Adelaide, Australia: Urban Water Resources Centre, Univ. of South Australia.
ASCE. 1993. “Task committee on definition of criteria for evaluation of watershed models of the watershed management committee, irrigation and drainage division, criteria for evaluation of watershed models.” J. Irrig. Drain. Eng. 119 (3): 429–442. https://doi.org/10.1061/(ASCE)0733-9437(1993)119:3(429).
Australian Flow and Management Group. 2000. “South Australian road stormwater drainage inlets: Hydraulic study.” Accessed February 2, 2020. https://www.unisa.edu.au/IT-Engineering-and-the-Environment/Natural-and-Built-Environments/Our-research/AFMG/South-Australian-Road-Stormwater-Drainage-Inlets-Hydraulic-Study/City-Mitcham/.
Burszta-Adamiak, E., and M. Mrowiec. 2013. “Modelling of green roofs’ hydrologic performance using EPA’s SWMM.” Water Sci. Technol. 68 (1): 36–42. https://doi.org/10.2166/wst.2013.219.
Cheng, T., Z. Xu, H. Yang, S. Hong, and J. P. Leitao. 2020. “Analysis of effect of rainfall patterns on urban flood process by coupled hydrological and hydrodynamic modeling.” J. Hydrol. Eng. 25 (1): 04019061. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001867.
Criss, R. E., and W. E. Winston. 2008. “Do Nash values have value? Discussion and alternate proposals.” Hydrol. Processes 22 (14): 2723–2725. https://doi.org/10.1002/hyp.7072.
Doherty, J. 2016. PEST: Model-independent parameter estimation: User manual. Part I: PEST, SENSAN, and global optimisers. Brisbane, Australia: Watermark Numerical Computing.
Elliott, A., and S. Trowsdale. 2007. “A review of models for low impact urban stormwater drainage.” Environ. Modell. Software 22 (3): 394–405. https://doi.org/10.1016/j.envsoft.2005.12.005.
Fanelli, R., K. Prestegaard, and M. Palmer. 2017. “Evaluation of infiltration-based stormwater management to restore hydrological processes in urban headwater streams.” Hydrol. Processes 31 (19): 3306–3319. https://doi.org/10.1002/hyp.11266.
Grantham, A., P. Pudney, and J. Boland. 2018. “Generating synthetic sequences of global horizontal irradiation.” Sol. Energy 162 (Mar): 500–509. https://doi.org/10.1016/j.solener.2018.01.044.
Gupta, H. V., H. Kling, K. K. Yilmaz, and G. F. Martinez. 2009. “Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling.” J. Hydrol. 377 (1–2): 80–91. https://doi.org/10.1016/j.jhydrol.2009.08.003.
Jain, S. K., and K. Sudheer. 2008. “Fitting of hydrologic models: A close look at the Nash–Sutcliffe index.” J. Hydrol. Eng. 13 (10): 981–986. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:10(981).
Jayasooriya, V. M., and A. W. M. Ng. 2014. “Tools for modeling of stormwater management and economics of green infrastructure practices: A review.” Water Air Soil Pollut. 225 (8): 1–20. https://doi.org/10.1007/s11270-014-2055-1.
Kaykhosravi, S., U. Khan, and A. Jadidi. 2018. “A comprehensive review of low impact development models for research, conceptual, preliminary and detailed design applications.” Water 10 (11): 1541. https://doi.org/10.3390/w10111541.
Locatelli, L., O. Mark, P. S. Mikkelsen, K. Arnbjerg-Nielsen, A. Deletic, M. Roldin, and P. J. Binning. 2017. “Hydrologic impact of urbanization with extensive stormwater infiltration.” J. Hydrol. 544 (Jan): 524–537. https://doi.org/10.1016/j.jhydrol.2016.11.030.
Lucas, W. C. 2010. “Design of integrated bioinfiltration-detention urban retrofits with design storm and continuous simulation methods.” J. Hydrol. Eng. 15 (6): 486–498. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000137.
Mancipe-Munoz, N. A., S. G. Buchberger, M. T. Suidan, and T. Lu. 2014. “Calibration of rainfall-runoff model in urban watersheds for stormwater management assessment.” J. Water Resour. Plann. Manage. 140 (6): 05014001. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000382.
Moriasi, D. N., M. W. Gitau, N. Pai, and P. Daggupati. 2015. “Hydrologic and water quality models: Performance measures and evaluation criteria.” Trans. ASABE 58 (6): 1763–1785. https://doi.org/10.13031/trans.58.10715.
Myers, B., and D. Pezzaniti. 2018. “Flood and peak flow management using WSUD systems.” In Approaches to water sensitive urban design: Potential, design, ecological health, urban greening, economics, policies, and community perceptions, edited by A. Sharma, T. Gardner, and D. Begbie. Amsterdam, Netherlands: Elsevier.
Nanía, L. S., A. S. León, and M. H. García. 2015. “Hydrologic-hydraulic model for simulating dual drainage and flooding in urban areas: Application to a catchment in the metropolitan area of Chicago.” J. Hydrol. Eng. 20 (5): 04014071. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001080.
Niazi, M., C. Nietch, M. Maghrebi, N. Jackson, B. R. Bennett, M. Tryby, and A. Massoudieh. 2017. “Storm water management model: Performance review and gap analysis.” J. Sustainable Water Built Environ. 3 (2): 04017002. https://doi.org/10.1061/JSWBAY.0000817.
Peng, Z., and V. Stovin. 2017. “Independent validation of the SWMM green roof module.” J. Hydrol. Eng. 22 (9): 04017037. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001558.
Pham, H. X., Y. Asaad, and B. Melville. 2014. “Statistical properties of partial duration series: Case study of North Island, New Zealand.” J. Hydrol. Eng. 19 (4): 807–815. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000841.
Platz, M., M. Simon, and M. Tryby. 2020. “Testing of the storm water management model low impact development modules.” JAWRA J. Am. Water Resour. Assoc. 56 (2): 283–296. https://doi.org/10.1111/1752-1688.12832.
Ritter, A., and R. Muñoz-Carpena. 2013. “Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments.” J. Hydrol. 480 (Feb): 33–45. https://doi.org/10.1016/j.jhydrol.2012.12.004.
Roldin, M., O. Mark, G. Kuczera, P. S. Mikkelsen, and P. J. Binning. 2011. “Representing soakaways in a physically distributed urban drainage model—Upscaling individual allotments to an aggregated scale.” J. Hydrol. 414–415 (Jan): 530–538. https://doi.org/10.1016/j.jhydrol.2011.11.030.
Rossman, L. A. 2015. Storm water management model user’s manual version 5.1, 1–353. Washington, DC: USEPA.
Simpson, M. G., and L. A. Roesner. 2018. “Hydrologic modeling and capital cost analysis of low-impact development.” J. Sustainable Water Built Environ. 4 (2): 05018003. https://doi.org/10.1061/JSWBAY.0000843.
Tan, S. B., L. H. Chua, E. B. Shuy, E. Y.-M. Lo, and L. W. Lim. 2008. “Performances of rainfall-runoff models calibrated over single and continuous storm flow events.” J. Hydrol. Eng. 13 (7): 597–607. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:7(597).
Toran, L. 2016. “Water level loggers as a low-cost tool for monitoring of stormwater control measures.” Water 8 (8): 346. https://doi.org/10.3390/w8080346.
Wella-Hewage, C. S., G. Alankarage Hewa, and D. Pezzaniti. 2016. “Can water sensitive urban design systems help to preserve natural channel-forming flow regimes in an urbanised catchment?” Water Sci. Technol. 73 (1): 78–87. https://doi.org/10.2166/wst.2015.464.
Zoppou, C. 2001. “Review of urban storm water models.” Environ. Modell. Software 16 (3): 195–231. https://doi.org/10.1016/S1364-8152(00)00084-0.
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Published In
Journal of Hydrologic Engineering
Volume 26 • Issue 8 • August 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Aug 23, 2020
Accepted: Apr 12, 2021
Published online: Jun 1, 2021
Published in print: Aug 1, 2021
Discussion open until: Nov 1, 2021
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