A Fuzzy Control System for Reducing Urban Stormwater Runoff by a Stormwater Storage Tank
Authors: Pingping Zhang, Yanpeng Cai, Jianlong Wang
Abstract:
Stormwater storage tank (SST) is a popular low impact development technology for reducing stormwater runoff in the construction of sponge city. At present, it is difficult to perform the automatic control of SST for reducing peak flow. In this paper, fuzzy control was introduced into the peak control of SST to improve the efficiency of reducing stormwater runoff. Firstly, the design of SST was investigated. A catchment area and a return period were assumed, a SST model was manufactured, and then the storage capacity of the SST was verified. Secondly, the control parameters of the SST based on reducing stormwater runoff were analyzed, and a schematic diagram of real-time control (RTC) system based on peak control SST was established. Finally, fuzzy control system of a double input (flow and water level) and double output (inlet and outlet valve) was designed. The results showed that 1) under the different return periods (one year, three years, five years), the SST had the effect of delayed peak control and storage by increasing the detention time, 2) rainfall, pipeline flow, the influent time and the water level in the SST could be used as RTC parameters, and 3) the response curves of flow velocity and water level fluctuated very little and reached equilibrium in a short time. The combination of online monitoring and fuzzy control was feasible to control the SST automatically. This paper provides a theoretical reference for reducing stormwater runoff and improving the operation efficiency of SST.
Keywords: Stormwater runoff, stormwater storage tank, real-time control, fuzzy control.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1315812
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[1] Weng, Q, “Modeling urban growth effects on surface runoff with the integration of remote sensing and gis.” Environmental Management, 2001, 28(6), 737-748.
[2] Cai, Y. P., Huang, G. H., Tan, Q., & Yang, Z. F. “An integrated approach for climate-change impact analysis and adaptation planning under multi-level uncertainties. part i: methodology.” Renewable & Sustainable Energy Reviews, 2011, 15(6), 2779-2790.
[3] Chen, Y., Zhou, H., Zhang, H., Du, G., & Zhou, J, “Urban flood risk warning under rapid urbanization.” Environmental Research, 2015, 139, 3.
[4] Hinman, C., “Low Impact Development: Technical Guidance Manual for PugetSound.” Washington State University, USA, 2005.
[5] CIRIA, “Sustainable Urban Drainage Systems—Design Manual for Scotland and Northern Ireland,” Report No. C521. CIRIA, Dundee, Scotland, 2000
[6] Lloyd, S.D., Water sensitive urban design in the Australian context. In: Synthesis of a conference held 30–31 August 2000, Melbourne, Australia, Cooperative Research Centre for Catchment Hydrology Melbourne, Australia, pp.1–26, 2001.
[7] Mao, W. H., “Research on design and sand removal process of changping detention tank.” Construction & Design for Project, 2011.
[8] Tan, Q., Tian, L. I., Zhang, J. P., & Shi, Z. B. “Evaluation of computer model for operation efficiency of initial rainwater detention tank.” China Water & Wastewater, 2007
[9] Li, X. U., Kai-Hua, Y. U., Ding, M., Cheng, J., & Wang, H., “Optimization and preliminary application of initial rainwater on-line monitoring system.” China Water & Wastewater, 2014.
[10] Tang, H., & Tian, L. I., “Present situation and development trend of real time control of urban drainage system.” China Water & Wastewater, 2009, 25(24), 11-14.
[11] Campisano, A., Ple, J. C., Muschalla, D., & Vanrolleghem, M. P. P. A. (2013). Potential and limitations of modern equipment for real time control of urban wastewater systems. Urban Water Journal, 10(5), 300-311.
[12] Xiao-Yan, L. U., Tian, L. I., & Qian, J., “Application of pre-assessment methods for real-time control of sewer system in hefei city.” China Water & Wastewater, 2012, 28(7), 56-55.
[13] Schütze M, Einfalt T., “Off-line development of RTC strategies–A general approach and the Aachen case study”, Eighth International Conference on Urban Storm Drainage, 1999, 30: 410-417.
[14] Passino, K. M., & Yurkovich, S., “Fuzzy Control.” Tsinghua University Pres, 2001.
[15] Gu, Y., Wang, H. O., Tanaka, K., & Bushnell, L. G., “Fuzzy control of nonlinear time-delay systems: stability and design issues.” American Control Conference, 2001. Proceedings of the (Vol.6, pp.4771-4776 vol.6). IEEE, 2002.
[16] Li, J., “On regulation, reservation and practical calculation in urban rainwater utilization.” Water & Wastewater Engineering, 2007, 33(2), 42-46.
[17] Xu haishun., “Urban district ecological rainwater infrastructure planning theory, method and application research (D).” Shanghai: East China Normal University, 2014.
[18] Wang, Y., & Han, J. G., “Study on fuzzy control system for irrigation water quantity of urban turf.” Water Saving Irrigation, 2009.
[19] Liu, Z., Li, W., Wang, X., Su, Z., Lian, X., & Xie, D., “A control method of dissolved oxygen in sewage treatment based on fuzzy-smith.” Artificial Intelligence & Computational Intelligence. aici.international Conferenc, 2009, 3, 569-572.
[20] Zhou, Z., He, Q., & Sun, G., “Design of automatic control for chemical dosing system in changcheng waterworks.” Water Technology, 2013.
[21] Lei, J. L., Huang, Z. X., & Jing-Yu, A. N., “Application of matlab in the fuzzy control system for water level in boiler.” Journal of Baoji University of Arts & Sciences, 2008.