MatSWMM - An open-source toolbox for designing real-time control of urban drainage systems

Environmental Modelling and Software

Volumn 83, Issue , 2016, Pages 143-154

  Riano Briceno G ^a   Barreiro Gomez, J ^a,b   Ramirez Jaime, A ^a   Quijano, N ^a   Ocampo Martinez, C ^b  

^a UNIVERSIDAD DE LOS ANDES   (Colombia)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

LabVIEW; Matlab; Open source toolbox; Python; Real time control; Urban drainage system integrated model

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; COMPUTER SOFTWARE; DRAINAGE; DYNAMICS; ENVIRONMENTAL PROTECTION AGENCY; HIGH LEVEL LANGUAGES; MATLAB; OPEN SOURCE SOFTWARE; REAL TIME CONTROL; REAL TIME SYSTEMS; WATER MANAGEMENT;

CONTROL ORIENTED MODELS; INTEGRATED MODELING; LABVIEW; OPEN SOURCE TOOLBOXES; PYTHON; STORMWATER MANAGEMENT MODEL(SWMM); URBAN DRAINAGE SYSTEMS; US ENVIRONMENTAL PROTECTION AGENCY;

OPEN SYSTEMS;

CONTROL SYSTEM; DESIGN METHOD; DRAINAGE WATER; EDUCATIONAL DEVELOPMENT; ENVIRONMENTAL PROTECTION; NUMERICAL MODEL; REAL TIME; SOFTWARE; URBAN DRAINAGE;

UNITED STATES;

EID: 84973129247     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2016.05.009     Document Type: Article

References (30)

1. Achleitner S., Möderl M., Rauch W. City drain©-an open source approach for simulation of integrated urban drainage systems. Environ. Model. Softw. 2007, 22(8):1184-1195.
2. Aldama A.A. Least-squares parameter estimation for muskingum flood routing. J. Hydraul. Eng. 1990, 116(4):580-586.
3. Barreiro-Gomez J., Obando G., Riaño Briceño G., Quijano N., Ocampo Martinez C. Decentralized control for urban drainage systems via population dynamics: bogotá case study. Proceedings of the 14th European Control Conference, Linz, Austria 2015, 2431-2436.
4. Barreiro-Gomez J., Obando G., Quijano N. Distributed population dynamics: optimization and control applications. IEEE Trans. Syst. Man Cybern. 2016, 99:1-11.
5. Barro J., Comas P., Malgrat P., Sunyer D. Manual nacional de recomendaciones para el diseño de tanques de tormentas 2014, 32-33.
6. Bolea Y., Puig V., Blesa J. On the use of the Muskingum model in real-time sewer network control. Proceedings of the 6th European Control Conference, Kos, Greecde 2007, 3717-3723.
7. Butler D., Schütze M. Integrating simulation models with a view to optimal control of urban wastewater systems. Environ. Model. Softw. 2005, 20(4):415-426.
8. Cormen T.H., Leiserson L.E., Rivest R., Stein C. Introduction to Algorithms 2009, MIT Press.
9. Eslamian S. Handbook of Engineering Hydrology: Fundamentals and Applications 2014, CRC Press.
10. García L., Barreiro-Gomez J., Escobar E., Téllez D., Quijano N., Ocampo-Martinez C. Modeling and real-time control of urban drainage systems: a review. Adv. Water Resour. 2015, 85:120-132.
11. Gómez M., Rodellar J., Mantecón J.A. Predictive control method for decentralized operation of irrigation canals. Appl. Math. Model. 2002, 26(11):1039-1056.
12. Hofbauer J., Sandholm W.H. Stable games and their dynamics. J. Econ. Theory 2009, 144(4):1665-1693.
13. Huber W.C., Rossman L.A., Dickinson R. EPA Storm Water Management Model SWMM 5.0 2010, National Risk Management Research Laboratory, Office of Research and Development, US Environmental Protection Agency.
14. Maier H.R., Kapelan Z., Kasprzyk J., Kollat J., Matott L.S., Cunha M.C., Dandy G.C., Gibbs M.S., Keedwell E., Marchi A. Evolutionary algorithms and other metaheuristics in water resources: current status, research challenges and future directions. Environ. Model. Softw. 2014, 62:271-299.
15. Mantecón J.A., Gómez M., Rodellar J. A Simulink-based scheme for simulation of irrigation canal control systems. Simulation 2002, 78(8):485-493.
16. Marques J., Cunha M., Savić D.A. Multi-objective optimization of water distribution systems based on a real options approach. Environ. Model. Softw. 2015, 63:1-13.
17. Martin A. Mathematical Optimization of Water Networks 2012, Springer Basel AG.
18. Moonen P., Defraeye T., Dorer V., Blocken B., Carmeliet J. Urban physics: effect of the micro-climate on comfort, health and energy demand. Front. Archit. Res. 2012, 1(3):197-228.
19. Ocampo-Martinez C. Model Predictive Control of Wastewater Systems 2010, Springer Verlag.
20. Palumbo A., Cimorelli L., Covelli C., Cozzolino L., Mucherino C., Pianese D. Optimal design of urban drainage networks. Civ. Eng. Environ. Syst. 2014, 31(1):79-96.
21. Pathirana A. SWMM5 1.1.0.3: Python Package 2015, https://pypi.python.org/pypi/SWMM5.
22. Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P. Numerical Recipes in C 1996, vol. 2. Citeseer.
23. Price R.K., Vojinović Z. Urban hydroinformatics: data, models, and decision support for integrated urban water management. IWA Publ. 2011.
24. Ramirez-Llanos E., Quijano N. A population dynamics approach for the water distribution problem. Int. J. Control 2010, 83(9):1947-1964.
25. G. Freni, G. B. Ferreri, P. Tomaselli, Ability of software SWMM to simulate transient sewer smooth pressurization, NOVATECH Report.
26. Riaño Briceño G., Ramirez-Jaime A., Barreiro-Gomez J., Quijano N., Ocampo Martinez C. Co-simulation for the design of controllers in urban drainage systems, in: proceedings of the 2nd Colombian Conference on Automatic Control. Manizales Colomb. 2015, 1-6.
27. Sandholm W.H. Population Games and Evolutionary Dynamics, Economic Learning and Social Evolution 2010, MIT Press, Cambridge, Mass.
28. Stallman R. Free software, free society: selected essays of Richard M. Stallman. Lulu 2002.
29. Te Chow V. Open Channel Hydraulics 1959, McGraw-Hill Book Company, Inc, New York.
30. Tornil-Sin S., Ocampo-Martinez C., Puig V., Escobet T. Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction. Eng. Appl. Artif. Intell. 2012, 25(1):1-10.