Sustainable debris management by linear dynamic transportation model

• Autorzy: Qasim Abdulamir Hussein

Identyfikatory

DOI

10.22630/srees.5247

• Języki publikacji: EN

Abstrakty

EN

Management of large debris caused by building demolition necessitates a multi-faceted approach to deal with emerging side effects.‎ Because of emerging global challenges, such as population growth, and renovation ‎projects, a dynamic models need to be planned and controlled. One of the key drivers ‎of this management is determining the appropriate path for transporting waste and debris. Debris management by using the linear dynamic transportation model (LDT) is conducted to deal with the unexpected amount of debris and other solid waste. This sudden and unexpected large ‎amount of solid waste might be produced by natural disasters or by man-made catastrophes either ‎directly or indirectly. By computing several parameters in certain zones, a sensitivity ‎analysis of each parameter is performed to obtain an optimal model for disaster debris ‎management. Based on disaster debris volume, the model gave us an optimal explanation of ‎the debris disposal by locals. According to the estimated parameters and conditions, ‎significant findings appear by identifying the optimal dynamic transportation path of the debris ‎truck. Thus, by applying the LDT model, the results showed that the efficiency/inefficiency of road types and networks clearly affect the handling of debris.

Słowa kluczowe

EN

disaster management; debris ‎discharge; debris withdrawal; truck routing path; sustainable debris management

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
• Rocznik: 2024
• Tom: Vol. 33, No. 1
• Strony: 17--32
• Opis fizyczny: Bibliogr. 14 poz., mapy, rys., tab., wykr., zdj.

Twórcy

autor

Qasim Abdulamir Hussein

• University of Kirkuk, College of Engineering, Kirkuk, Iraq

• https://orcid.org/0000-0002-4695-3021

Bibliografia

• Chen, X., Kwan, M. P., Li, Q. & Chen, J. (2012). A model for evacuation risk assessment with consideration of pre-and post-disaster factors. Computers, environment and urban systems, 36 (3), 207-217. https://doi.org/10.1016/j.compenvurbsys.2011.11.002
• Chen, X. & Zhan, F. B. (2017). Agent-based modelling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies. Journal of the Operational Research Society, 59 (1), 25-33. https://doi.org/10.1057/palgrave.jors.2602321
• Estay-Ossandon, C. & Mena-Nieto, A. (2018). Modelling the driving forces of the municipal solid waste generation in touristic islands: A case study of the Balearic Islands (2000-2030). Waste Management, 75, 70-81. https://doi.org/10.1016/j.wasman.2017.12.029
• Hirayama, N., Shimaoka, T., Fujiwara, T., Okayama, T. & Kawata, Y. (2010). Establishment of disaster debris management based on quantitative estimation using natural hazard maps. Waste Management and Environment, 140, 167-178.
• Hu, Z. H. & Sheu, J. B. (2013). Post-disaster debris reverse logistics management under psychological cost minimization. Journal of Transportation Research Part B: Methodologica, 55, 118-141. https://doi.org/10.1016/j.trb.2013.05.010
• Lederer, J., Gassner, A., Kleemann, F. & Fellner, J. (2020). Potentials for a circular economy of mineral construction materials and demolition waste in urban areas: a case study from Vienna. Resources, Conservation and Recycling, 161, 104942. https://doi.org/10.1016/j.resconrec.2020.104942
• Lorca, Á., Çelik, M., Ergun, Ö. & Keskinocak, P. (2015). A decision-support tool for post-disaster debris operations. Procedia Engineering, 107, 154-167. https://doi.org/10.1016/j.proeng.2015.06.069
• Mustafa, S. S., Mustafa, S. S. & Mutlag, A. H. (2013). Kirkuk municipal waste to electrical energy. International Journal of Electrical Power & Energy Systems, 44 (1), 506-513. https://doi.org/10.1016/j.ijepes.2012.07.053
• Qasim, A. H. (2019). International water model under productivity conditions: the case of the Tigris and the Euphrates. GEOMATE Journal, 17 (62), 29-34.
• Qasim, A. H. (2021). Causes and side effects of changing water quality in Khassa-Chai river in Kirkuk, Iraq. Scientific Review Engineering and Environmental Sciences (SREES), 30 (2), 271-282. https://doi.org/10.22630/PNIKS.2021.30.2.23
• Sakaguchi, N., Tanouchi, H., Egusa, N. & Otsuka, Y. (2018). Development of a Disaster Waste Disposal Planning Model Aiming at Supporting of Appropriate Decision of Disaster Waste Treatment. Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research), 74 (5), 195-202.
• Soichiro, A. S. A. I., Akiyama, T., Tanouchi, H. & Egusa, N. (2021). A numerical simulation of disaster waste disposal in Wakayama city by using DHT model. GEOMATE Journal, 20 (80), 23-28. https://doi.org/10.21660/2021.80.6155
• Uche-Soria, M. & Rodríguez-Monroy, C. (2019). An efficient waste-to-energy model in isolated environments. Case study: La Gomera (Canary Islands). Sustainability, 11 (11), 3198. https://doi.org/10.3390/su11113198
• Wei, L., Hu, K. & Liu, J. (2021). Quantitative analysis of the debris flow societal risk to people inside buildings at different times: a case study of Luomo village, Sichuan, southwest China. Frontiers in Earth Science, 8, 627070. https://doi.org/10.3389/feart.2020.627070