Articles | Volume 15, issue 1
https://doi.org/10.5194/hess-15-185-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-185-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Auto-control of pumping operations in sewerage systems by rule-based fuzzy neural networks
Y.-M. Chiang
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan
L.-C. Chang
Department of Water Resources and Environmental Engineering, Tamkang University, Taipei, Taiwan
M.-J. Tsai
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan
Y.-F. Wang
Water Resources Agency, Ministry of Economic Affairs, Taiwan
F.-J. Chang
Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan
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Cited
34 citations as recorded by crossref.
- Long-term versus Real-time Optimal Operation for Gate Regulation during Flood in Urban Drainage Systems F. Jafari et al. 10.1080/1573062X.2018.1556307
- On the Use of a Real-Time Control Approach for Urban Stormwater Management M. Maiolo et al. 10.3390/w12102842
- Two-Stage Pumping Control Model for Flood Mitigation in Inundated Urban Drainage Basins C. Wei et al. 10.1007/s11269-013-0491-0
- Assessment of arsenic concentration in stream water using neuro fuzzy networks with factor analysis F. Chang et al. 10.1016/j.scitotenv.2014.06.133
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- Runoff forecasting using a Takagi–Sugeno neuro-fuzzy model with online learning A. Talei et al. 10.1016/j.jhydrol.2013.02.022
- A performance evaluation of neuro-fuzzy and regression methods in estimation of sediment load of selective rivers J. Varvani & M. Khaleghi 10.1007/s11600-018-0228-9
- Monitoring system for electricity consumption at pumping stations N. Ikramov et al. 10.1088/1757-899X/883/1/012101
- A methodology for optimal operation of pumping stations in urban drainage systems J. Yazdi et al. 10.1016/j.jher.2015.09.001
- Energy Optimization Study of Rural Deep Well Two-Stage Water Supply Pumping Station G. Zheng & Q. Huang 10.1109/TCST.2015.2498140
- A reduced-order adaptive neuro-fuzzy inference system model as a software sensor for rapid estimation of five-day biochemical oxygen demand R. Noori et al. 10.1016/j.jhydrol.2013.04.052
- Modeling and Investigating the Mechanisms of Groundwater Level Variation in the Jhuoshui River Basin of Central Taiwan T. Bai et al. 10.3390/w11081554
- Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO H. Wang et al. 10.3390/w11051002
- Enhancing stormwater control measures using real-time control technology: a review W. Xu et al. 10.1080/1573062X.2020.1857797
- A review on applications of urban flood models in flood mitigation strategies W. Qi et al. 10.1007/s11069-021-04715-8
- A systematical water allocation scheme for drought mitigation F. Chang & K. Wang 10.1016/j.jhydrol.2013.10.027
- Intelligent real-time operation of a pumping station for an urban drainage system N. Hsu et al. 10.1016/j.jhydrol.2013.02.047
- New approach to exploit optimally the PV array output energy by maximizing the discharge rate of a directly-coupled photovoltaic water pumping system (DC/PVPS) A. Boutelhig et al. 10.1016/j.enconman.2015.12.058
- Water-level based discrete integrated dynamic control to regulate the flow for sewer-WWTP operation Z. Lu et al. 10.1007/s11783-020-1222-4
- Distributed Model Predictive Control Applied to a Sewer System A. Cembellín et al. 10.3390/pr8121595
- Validation of Inundation Damage Reduction by a Pump Gate with the New Type of Horizontal Axial Submersible Pump K. Fukumori et al. 10.20965/jdr.2021.p0381
- Adapting to flood risk under climate change R. Wilby & R. Keenan 10.1177/0309133312438908
- Application of Pumping Operation Models for a Drainage System C. Wei 10.4028/www.scientific.net/AMM.256-259.2416
- AI-based design of urban stormwater detention facilities accounting for carryover storage S. Yang et al. 10.1016/j.jhydrol.2019.06.009
- Multisurrogate Assisted Evolutionary Algorithm–Based Optimal Operation of Drainage Facilities in Urban Storm Drainage Systems for Flood Mitigation X. Li et al. 10.1061/(ASCE)HE.1943-5584.0002214
- Artificial Intelligence for Integrated Water Resources Management in Taiwan 斐. 张 10.12677/JWRR.2013.25045
- Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information F. Chang et al. 10.1016/j.jhydrol.2013.11.011
- Self-organizing radial basis neural network for predicting typhoon-induced losses to rice F. Chang et al. 10.1007/s10333-012-0327-1
- Predictive MPC-Based Operation of Urban Drainage Systems Using Input Data-Clustered Artificial Neural Networks Rainfall Forecasting Models F. Jafari et al. 10.3390/hydrology10070139
- Real-Time Operation of Pumping Systems for Urban Flood Mitigation: Single-Period vs. Multi-Period Optimization F. Jafari et al. 10.1007/s11269-018-2076-4
- Intelligent Pump Operation and River Diversion Systems for Urban Storm Management J. Yazdi & J. Kim 10.1061/(ASCE)HE.1943-5584.0001226
- Modeling and real-time control of urban drainage systems: A review L. García et al. 10.1016/j.advwatres.2015.08.007
- Optimal Operation of Urban Storm Detention Ponds for Flood Management J. Yazdi 10.1007/s11269-019-02228-5
- A comparative study on the performance of pumping station by changing measurement methods and operational logic G. Lee et al. 10.11001/jksww.2012.26.6.915
33 citations as recorded by crossref.
- Long-term versus Real-time Optimal Operation for Gate Regulation during Flood in Urban Drainage Systems F. Jafari et al. 10.1080/1573062X.2018.1556307
- On the Use of a Real-Time Control Approach for Urban Stormwater Management M. Maiolo et al. 10.3390/w12102842
- Two-Stage Pumping Control Model for Flood Mitigation in Inundated Urban Drainage Basins C. Wei et al. 10.1007/s11269-013-0491-0
- Assessment of arsenic concentration in stream water using neuro fuzzy networks with factor analysis F. Chang et al. 10.1016/j.scitotenv.2014.06.133
- Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq Z. Yaseen et al. 10.1016/j.jhydrol.2016.09.035
- Runoff forecasting using a Takagi–Sugeno neuro-fuzzy model with online learning A. Talei et al. 10.1016/j.jhydrol.2013.02.022
- A performance evaluation of neuro-fuzzy and regression methods in estimation of sediment load of selective rivers J. Varvani & M. Khaleghi 10.1007/s11600-018-0228-9
- Monitoring system for electricity consumption at pumping stations N. Ikramov et al. 10.1088/1757-899X/883/1/012101
- A methodology for optimal operation of pumping stations in urban drainage systems J. Yazdi et al. 10.1016/j.jher.2015.09.001
- Energy Optimization Study of Rural Deep Well Two-Stage Water Supply Pumping Station G. Zheng & Q. Huang 10.1109/TCST.2015.2498140
- A reduced-order adaptive neuro-fuzzy inference system model as a software sensor for rapid estimation of five-day biochemical oxygen demand R. Noori et al. 10.1016/j.jhydrol.2013.04.052
- Modeling and Investigating the Mechanisms of Groundwater Level Variation in the Jhuoshui River Basin of Central Taiwan T. Bai et al. 10.3390/w11081554
- Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO H. Wang et al. 10.3390/w11051002
- Enhancing stormwater control measures using real-time control technology: a review W. Xu et al. 10.1080/1573062X.2020.1857797
- A review on applications of urban flood models in flood mitigation strategies W. Qi et al. 10.1007/s11069-021-04715-8
- A systematical water allocation scheme for drought mitigation F. Chang & K. Wang 10.1016/j.jhydrol.2013.10.027
- Intelligent real-time operation of a pumping station for an urban drainage system N. Hsu et al. 10.1016/j.jhydrol.2013.02.047
- New approach to exploit optimally the PV array output energy by maximizing the discharge rate of a directly-coupled photovoltaic water pumping system (DC/PVPS) A. Boutelhig et al. 10.1016/j.enconman.2015.12.058
- Water-level based discrete integrated dynamic control to regulate the flow for sewer-WWTP operation Z. Lu et al. 10.1007/s11783-020-1222-4
- Distributed Model Predictive Control Applied to a Sewer System A. Cembellín et al. 10.3390/pr8121595
- Validation of Inundation Damage Reduction by a Pump Gate with the New Type of Horizontal Axial Submersible Pump K. Fukumori et al. 10.20965/jdr.2021.p0381
- Adapting to flood risk under climate change R. Wilby & R. Keenan 10.1177/0309133312438908
- Application of Pumping Operation Models for a Drainage System C. Wei 10.4028/www.scientific.net/AMM.256-259.2416
- AI-based design of urban stormwater detention facilities accounting for carryover storage S. Yang et al. 10.1016/j.jhydrol.2019.06.009
- Multisurrogate Assisted Evolutionary Algorithm–Based Optimal Operation of Drainage Facilities in Urban Storm Drainage Systems for Flood Mitigation X. Li et al. 10.1061/(ASCE)HE.1943-5584.0002214
- Artificial Intelligence for Integrated Water Resources Management in Taiwan 斐. 张 10.12677/JWRR.2013.25045
- Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information F. Chang et al. 10.1016/j.jhydrol.2013.11.011
- Self-organizing radial basis neural network for predicting typhoon-induced losses to rice F. Chang et al. 10.1007/s10333-012-0327-1
- Predictive MPC-Based Operation of Urban Drainage Systems Using Input Data-Clustered Artificial Neural Networks Rainfall Forecasting Models F. Jafari et al. 10.3390/hydrology10070139
- Real-Time Operation of Pumping Systems for Urban Flood Mitigation: Single-Period vs. Multi-Period Optimization F. Jafari et al. 10.1007/s11269-018-2076-4
- Intelligent Pump Operation and River Diversion Systems for Urban Storm Management J. Yazdi & J. Kim 10.1061/(ASCE)HE.1943-5584.0001226
- Modeling and real-time control of urban drainage systems: A review L. García et al. 10.1016/j.advwatres.2015.08.007
- Optimal Operation of Urban Storm Detention Ponds for Flood Management J. Yazdi 10.1007/s11269-019-02228-5
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