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A GIS based graph oriented algorithmic model for poly-optimization of waste management system

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents an integrated (inferential) system of computer assistance in waste management designed in componentbased technology. The system allows for the implementation of individual elements (system components) with native and managed programming languages and performance technologies, ensuring easy integration of those components into one coherent, cooperating whole. One of the key issues involves the placement of the objects, events and conducted spatial (geographical) analyses in the system through the application of GIS technology (ability to use digital (vector or halftone-based) terrain maps), execution of spatial analyses, data visualization on maps, etc., using also commonly available spatial data available as part of the Infrastructure for Spatial Information (established under the Act on Infrastructure for Spatial Information).
Rocznik
Strony
151--159
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
autor
  • Institute of Water and Wastewater Engineering, Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, Poland
  • Institute of Water Supply and Environmental Protection, Cracow University of Technology, Warszawska 24, 31-155 Cracow, Poland
autor
  • Institute of Water and Wastewater Engineering, Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, Poland
autor
  • Nowy Sącz Water Networks Company,22 WincentegoPola Street, 33-300 Nowy Sącz, Poland
autor
  • Nowy Sącz Water Networks Company,22 WincentegoPola Street, 33-300 Nowy Sącz, Poland
Bibliografia
  • [1] Assad Arjang A., Golden Bruce L. (1995). Arc routing methods and applications, Handbooks in Operations Research and Management Science, 8, 375-483.
  • [2] Akouz, K., Benhammou, A., Malaterre, P. O., Dahbou, B., Roux, G. (1998). Predictive control applied to ASCE canal 2. in Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, 3920-3924.
  • [3] Babalola A., Busu I. (2011). Selection of landfill sites for solid waste treatment in Damaturu Town - using GIS Techniques, Journal of Environmental Protection, 2, 1-10, doi:10.4236/jep.2011.21001.
  • [4] Balcerzak W., Generowicz A., Mucha Z. (2014). Application of Multi-Criteria Analysis for Selection of a Reclamation Method for a Hazardous Waste Landfill, Polish Journal of Environmental Studies, 23(3), 983-987.
  • [5] Begovich, O., Ruiz, V. M., Besançon, G., Aldana, C. I. (2007). Georges D. Predictive control with constraints of a multi-pool irrigation canal prototype. Latin American Applied Research, 37(3), 177-185.
  • [6] Binder C. R., Quirici R., Domnitcheva S., Stäubli B. (2008). Smart Labels for Waste and Resource Management, Journal of Industrial Ecology, 12, 2, 207-228.
  • [7] Chang Ni-Bin, Pires A., Martinho Graça. (2011). Empowering Systems Analysis for Solid Waste Management: Challenges, Trends, and Perspectives, Critical Reviews in Environmental Science and Technology, 41, 16 (1449).
  • [8] Chang Ni-Bin, Wang S.F. (1996). The development of an environmental Decision Support System for municipal solid waste management, Computers, Environment and Urban Systems, 20, 3, 201-212.
  • [9] Dyson B., Chang N. B. (2005). Forecasting municipal solid waste generation in a fast-growing urban region with system dynamics modelling, Waste Management 25(7), 669-679.
  • [10] Gaska, K; Generowicz, A; Zimoch, I; Ciula, J; Iwanicka, Z. (2017). A high-performance computing (HPC) based integrated multithreaded model predictive control (MPC) for water supply networks, Architecture Civil Engineering Environment, 10(4), 141-151.
  • [11] Gaska, K; Generowicz, A. (2017). Advanced computational methods in component-oriented modelling of municipal solid waste incineration processes, Architecture Civil Engineering Environment, 10(1) 117-130.
  • [12] Gaska, K; Pikoń, K. (2012). Modelling of the integrated waste management systems using object-oriented methodology, Conference: WSEAS International Conference on Renewable Energy Sources/Energy Planning, Energy Saving, Environmental Education/Waste Management, Water Pollution, Air Pollution, Indoor Climate Location: Arcachon, FRANCE, 2007, LECTURE NOTES ON ENERGY AND ENVIRONMENT Book Series: Energy and Environmental Engineering Series: 2007.
  • [13] Generowicz A., Kowalski Z., Banach M., Makara A., A glance at the world, Waste Management, 32(2), 349-350.
  • [14] Ghiani G., Laganŕ D., Manni E., Musmanno R., Vigo D. (2014). Operations research in solid waste management: A survey of strategic and tactical issues, Computers & Operations Research, 44, 22-32.
  • [15] Goedkoop M., Spriensma R.( 2001). The Eco-indicator 99: A damage oriented method for Life Cycle Impact Assessment.Methodology Report, Amersfoort.
  • [16] Lam H.L., Varbanov P.S., Klemeš J. (2010). Optimisation of regional energy supply chains utilizing, Computers & Chemical Engineering, 34, 5, 782-792.
  • [17] Kowalski Z., Generowicz A., Makara A. (2012). Evaluation of municipal waste disposal technologies by BATNEEC, Przemysł Chemiczny, 91(5), 811-815.
  • [18] Malczewski J. (1999). GIS and multricriteria decision analysis, JOHN WILEY & SONS INC. ISBN 0-471- 32944-4, USA.
  • [19] Negenborn, R. R., De Schutter, B., Hellendoorn, J. (2008). Multi-agent model predictive control for transportation networks: Serial versus parallel schemes. Engineering Applications of Artificial Intelligence, 21(3), 353-366.
  • [20] Rada E. C., Ragazzi M., Fedrizzi P. (2013). Web-GIS oriented systems viability for municipal solid waste selective collection optimization in developed and transient economies, Waste Management 33, 4, 785-792.
  • [21] Szymura, Zimoch I. (2014). Operator reliability in risk assessment of industrial systems function. Przemysł Chemiczny. 93, 1, 111-116.
  • [22] Wang Q., Poh K.L. (2014). A survey of integrated decision analysis in energy and environmental modeling, Energy, 77, (691).
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4887524b-674e-4d65-be96-0f4fa0bf64b3
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