Refined Simulation Method of the Rainfall–Runoff Processes in a Residential Area with LID Measures
Publication: Journal of Hydrologic Engineering
Volume 26, Issue 12
Abstract
Residential areas are major areas of runoff during urban floods, and many low-impact development (LID) measures have been developed to alleviate runoff at the source. In this paper, our goal is to provide a refined modeling method to simulate the entire physical rainfall–runoff process and thereby help communities visualize the actual runoff routing and quantify runoff timing and peak magnitude. The method employs a two-dimensional (2D) hydrodynamic numerical model and considers the discharge process of downspouts and overflow ports based on a high-resolution digital elevation model (DEM). Three test cases are used to compare the characteristics of the refined simulation method with those of a general modeling method that ignores the impacts of downspouts and overflow ports on runoff. The results reveal that the refined simulation method is able to reflect the actual runoff process. Thus, the refined simulation method can be used to accurately quantify the impacts of LID measures on runoff and aid urban planning and placement in residential areas.
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Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was partly supported by the National Natural Science Foundation of China (52079106) and the National Key Research and Development Program of China (2016YFC0402704).
References
Abi Aad, M. P., M. T. Suidan, and W. D. Shuster. 2010. “Modeling techniques of best management practices: Rain barrels and rain gardens using EPA SWMM-5.” J. Hydrol. Eng. 15 (6): 434–443. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000136.
Alastal, K., and R. Ababou. 2019. “Moving multi-front (MMF): A generalized Green-Ampt approach for vertical unsaturated flows.” J. Hydrol. 579 (Dec): 124184. https://doi.org/10.1016/j.jhydrol.2019.124184.
Brunetti, G., J. Šimůnek, M. Turco, and P. Piro. 2017. “On the use of surrogate-based modeling for the numerical analysis of low impact development techniques.” J. Hydrol. 548 (May): 263–277. https://doi.org/10.1016/j.jhydrol.2017.03.013.
Chen, A. S., J. Leandro, and S. Djordjević. 2016. “Modelling sewer discharge via displacement of manhole covers during flood events using 1D/2D SIPSON/P-DWave dual drainage simulations.” Urban Water J. 13 (8): 830–840. https://doi.org/10.1080/1573062X.2015.1041991.
Dietz, M. E., and J. C. Clausen. 2005. “A field evaluation of rain garden flow and pollutant treatment.” Water Air Soil Pollut. 167 (1–4): 123–138. https://doi.org/10.1007/s11270-005-8266-8.
Farreny, R., T. Morales-Pinzón, A. Guisasola, C. Tayà, J. Rieradevall, and X. Gabarrell. 2011. “Roof selection for rainwater harvesting: Quantity and quality assessments in Spain.” Water Res. 45 (10): 3245–3254. https://doi.org/10.1016/j.watres.2011.03.036.
Green, H., and G. A. Ampt. 1911. “Studies on soil physics. Part 1: The flow of air and water through soils IV.” J. Agri. Sci. 4 (1911): 1–24.
Grehl, E., and G. Kauffman. 2003. “The University of Delaware rain garden: Environmental mitigation of a building footprint.” J. Green Build. 2 (1): 53–67. https://doi.org/10.3992/jgb.2.1.53.
Hou, J., Q. Liang, F. Simons, and R. Hinkelmann. 2013a. “A 2D well-balanced shallow flow model for unstructured grids with novel slope source term treatment.” Adv. Water Resour. 52 (Feb): 107–131. https://doi.org/10.1016/j.advwatres.2012.08.003.
Hou, J., Q. Liang, H. Zhang, and R. Hinkelmann. 2015. “An efficient unstructured MUSCL scheme for solving the 2D shallow water equations.” Environ. Modell. Software 66 (2): 131–152. https://doi.org/10.1016/j.envsoft.2014.12.007.
Hou, J., F. Simons, M. Mahgoub, and R. Hinkelmann. 2013b. “Robust well-balanced model on unstructured grids for shallow water lows with wetting and drying over complex topography.” Comput. Methods Appl. Mech. Eng. 257 (Apr): 126–149. https://doi.org/10.1016/j.cma.2013.01.015.
Lancia, M., C. Zheng, X. He, D. N. Lerner, C. Andrews, and Y. Tian. 2020. “Hydrogeological constraints and opportunities for ‘Sponge City’ development: Shenzhen, southern China.” J. Hydrol.: Reg. Stud. 28 (Jan): 100679. https://doi.org/10.1016/j.ejrh.2020.100679.
Lee, S., M. L. Chu, and A. R. Schmidt. 2020. “Effective Green-Ampt parameters for two-layered soils.” J. Hydrol. Eng. 25 (4): 04020004. https://doi.org/10.1061/(asce)he.1943-5584.0001897.
Lee, S., H. Nakagawa, K. Kawaike, and H. Zhang. 2016. “Urban inundation simulation considering road network and building configurations.” J. Flood Risk Manage. 9 (3): 224–233. https://doi.org/10.1111/jfr3.12165.
Li, J., B. Zhang, C. Mu, and L. Chen. 2018. “Simulation of the hydrological and environmental effects of a sponge city based on MIKE FLOOD.” Environ. Earth Sci. 77 (2): 1–16. https://doi.org/10.1007/s12665-018-7236-6.
Liu, W., W. Chen, and C. Peng. 2014. “Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study.” Ecol. Modell. 291 (Nov): 6–14. https://doi.org/10.1016/j.ecolmodel.2014.07.012.
Macro, K., L. S. Matott, A. Rabideau, S. H. Ghodsi, and Z. Zhu. 2019. “OSTRICH-SWMM: A new multi-objective optimization tool for green infrastructure planning with SWMM.” Environ. Modell. Software 113 (Dec): 42–47. https://doi.org/10.1016/j.envsoft.2018.12.004.
Nguyen, T. T., H. H. Ngo, W. Guo, X. C. Wang, N. Ren, G. Li, and H. Liang. 2019. “Implementation of a specific urban water management—Sponge City.” Sci. Total Environ. 652 (Feb): 147–162. https://doi.org/10.1016/j.scitotenv.2018.10.168.
Noh, S. J., S. Lee, H. An, K. Kawaike, and H. Nakagawa. 2016. “Ensemble urban flood simulation in comparison with laboratory-scale experiments: Impact of interaction models for manhole, sewer pipe, and surface flow.” Adv. Water Resour. 97 (Nov): 25–37. https://doi.org/10.1016/j.advwatres.2016.08.015.
O’Bannon, D., and J. Nall. 2012. “Detailed rain garden flow monitoring.” In Proc., World Environmental and Water Resources Congress 2012: Crossing Boundaries, 3565–3572. Reston, VA: ASCE. https://doi.org/10.1061/9780784412312.359.
Randall, M., F. Sun, Y. Zhang, and M. B. Jensen. 2019. “Evaluating sponge city volume capture ratio at the catchment scale using SWMM.” J. Environ. Manage. 246 (May): 745–757. https://doi.org/10.1016/j.jenvman.2019.05.134.
Tan, K. M., W. K. Seow, C. L. Wang, H. J. Kew, and S. B. Parasuraman. 2019. “Evaluation of performance of active, beautiful and clean (ABC) on stormwater runoff management using MIKE URBAN: A case study in a residential estate in Singapore.” Urban Water J. 16 (2): 156–162. https://doi.org/10.1080/1573062X.2019.1634744.
Wang, Y., A. S. Chen, G. Fu, S. Djordjević, C. Zhang, and D. A. Savić. 2018. “An integrated framework for high-resolution urban flood modelling considering multiple information sources and urban features.” Environ. Modell. Software 107 (Jul): 85–95. https://doi.org/10.1016/j.envsoft.2018.06.010.
Xia, X., Q. Liang, and X. Ming. 2019. “A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS).” Adv. Water Resour. 132 (Mar): 103392. https://doi.org/10.1016/j.advwatres.2019.103392.
Yin, T. A. 2019. “Structure and design analysis of rainwater garden in residential area.” Constr. Mat. Decoration 2019 (11): 102–103.
Zhang, J., G. Ma, Z. Dai, R. Ming, X. Cui, and R. She. 2018. “Numerical study on pore clogging mechanism in pervious pavements.” J. Hydrol. 565 (May): 589–598. https://doi.org/10.1016/j.jhydrol.2018.08.072.
Zhang, J., Y. Zhang, S. J. Sun, W. W. Zhang, and S. H. Zhang. 2019a. “Analysis of the effect of low impact development on urban runoff control based on the SWMM model.” J. Coastal Res. 96 (1): 62–67. https://doi.org/10.2112/SI96-009.1.
Zhang, Q. Y., W. W. Chen, and Y. M. Zhang. 2019b. “Modification and evaluation of Green–Ampt model: Dynamic capillary pressure and broken-line wetting profile.” J. Hydrol. 575 (May): 1123–1132. https://doi.org/10.1016/j.jhydrol.2019.06.008.
Zhu, Z., Z. Chen, X. Chen, and G. Yu. 2019. “An assessment of the hydrologic effectiveness of low impact development (LID) practices for managing runoff with different objectives.” J. Environ. Manage. 231 (Apr): 504–514. https://doi.org/10.1016/j.jenvman.2018.10.046.
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© 2021 American Society of Civil Engineers.
History
Received: Jan 5, 2021
Accepted: Jul 19, 2021
Published online: Sep 24, 2021
Published in print: Dec 1, 2021
Discussion open until: Feb 24, 2022
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