Citation: | WANG Yiming, MA Zhenhua, YANG Mengqi, DONG Xin, ZENG Siyu. A HYBRID MODELING STRATEGY FOR CONTROL SIMULATOR OF URBAN DRAINAGE SYSTEMS BASED ON DATA-DRIVEN AND MECHANISM-DRIVEN METHOD[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(6): 204-211,225. doi: 10.13205/j.hjgc.202206026 |
[1] |
徐智伟.基于强化学习的城市排水系统实时控制策略研究[D].北京:清华大学,2021.
|
[2] |
CEMBRANO G, QUEVEDO J, SALAMERO M, et al. Optimal control of urban drainage systems:a case study[J]. Control Engineering Practice, 2004, 12(1):1-9.
|
[3] |
PLEAU M, COLAS H, LAVALLÉE P, et al. Global optimal real-time control of the Quebec urban drainage system[J]. Environmental Modelling&Software, 2005, 20(4):401-413.
|
[4] |
VEZZARO L, CHRISTENSEN M L, THIRSING C, et al. Water quality-based real time control of integrated urban drainage systems:a preliminary study from Copenhagen, Denmark[J]. Procedia Engineering, 2014, 70:1707-1716.
|
[5] |
MYO L N, RUTTEN M, TIAN X. Flood mitigation through the optimal operation of a multi-reservoir system by using model predictive control:a case study in Myanmar[J]. Water, 2018, 10(10):1371.
|
[6] |
SUN C C, ROMERO L, JOSEPH-DURAN B, et al. Integrated pollution-based real-time control of sanitation systems[J]. Journal of Environmental Management, 2020, 269:110798.
|
[7] |
席裕庚,李德伟,林姝.模型预测控制:现状与挑战[J].自动化学报,2013,39(3):222-236.
|
[8] |
SADLER J M, GOODALL J L, BEHL M, et al. Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5[J]. Environmental Modelling and Software, 2019, 120:104484.
|
[9] |
LEITAO J P, SIMÕES N E, MAKSIMOVIĆ Č, et al. Real-time forecasting urban drainage models:full or simplified networks?[J]. Water Science and Technology, 2010, 62(9):2106-2114.
|
[10] |
黄森辰.面向溢流污染削减的城市排水系统集成分层优化控制研究[D].北京:清华大学,2018.
|
[11] |
ZHANG D, MARTINEZ N, LINDHOLM G, et al. Manage sewer in-line storage control using hydraulic model and recurrent neural network[J]. Water Resources Management, 2018, 32(6):2079-2098.
|
[12] |
冯钧,潘飞.一种LSTM-BP多模型组合水文预报方法[J].计算机与现代化,2018(7):82-85.
|
[13] |
殷兆凯,廖卫红,王若佳,等.基于长短时记忆神经网络(LSTM)的降雨径流模拟及预报[J].南水北调与水利科技,2019,17(6):1-9
,27.
|