Advertisement

Scale and process design for sewage treatment plants in airports using multi-objective optimization model with uncertain influent concentration

  • Liming Yao
  • Linhuan He
  • Xudong ChenEmail author
Research Article
  • 22 Downloads

Abstract

The treatment of airport sewage has posed many novel challenges because of its huge impact on the surrounding environment. This paper proposes a multi-objective decision model to optimize the scale design and process selection of sewage treatment plants in airports. In this model, we consider the conflict among the process cost, environmental protection, and benefits of recycled water. In addition, the uncertainty in influent concentration and passenger throughput is also incorporated. Airport sewage treatment has its own unique features, such as the concentration of airport sewage is higher than that of ordinary urban sewage, the change in passenger throughput impacts the volume of the airport sewage treatment, and the utilization rate of the entire sewage treatment plant must be higher than or equal to 70%. Only in this case can the airport sewage treatment plant pass the acceptance test. The Tianfu International Airport, the largest civil transportation hub airport project in southwestern China, is used to prove the efficiency of the proposed model. Finally, some significant insights are suggested for the design of wastewater treatment plants in airports.

Keywords

Process selection Wastewater treatment plant of airport Multi-objective optimization Uncertainty 

Notes

Funding information

This research is supported by the National Natural Science Foundation of China (Grant No. 71771157, 71301109), Soft Science Program of Sichuan Province (Grant No. 2017ZR0154), Funding of Sichuan University (Grant No. skqx201726), China Postdoctoral Science Foundation Funded Project (Grant No. 184089, 2017M610609). Thanks for the support of Mr. Chai, an engineer of the Chengdu Shuangliu International Airport Wastewater Treatment Plant.

Compliance with ethical standards

Conflicts of interest

The authors declare that they have no conflict of interest.

Supplementary material

11356_2019_4622_MOESM1_ESM.pdf (27 kb)
ESM 1 (PDF 27 kb)

References

  1. Benedetti L, De Baets B, Nopens I, Vanrolleghem PA (2010) Multi-criteria analysis of wastewater treatment plant design and control scenarios under uncertainty. Environ Model Softw 25:616–621.  https://doi.org/10.1016/j.envsoft.2009.06.003 CrossRefGoogle Scholar
  2. Carvalho IDC, Calijuri ML, Assemany PP, Neto RFM, Santiago ADF, Souza MHBD (2013) Sustainable airport environments: a review of water conservation practices in airports. Resources Conservation & Recyclcing 74:27–36.  https://doi.org/10.1016/j.resconrec.2013.02.016 CrossRefGoogle Scholar
  3. Castillo Floresalsina X, Rodríguezroda I, Sin G, Gernaey KV (2008) Multi-criteria evaluation of wastewater treatment plant control strategies under uncertainty. Water Res 42:4485–4497.  https://doi.org/10.1016/j.watres.2008.05.029 CrossRefGoogle Scholar
  4. Castillo A, Cheali P, Gómez V, Comas J, Poch M, Sin G (2016a) An integrated knowledge-based and optimization tool for the sustainable selection of wastewater treatment process concepts. Environ Model Softw 84:177–192.  https://doi.org/10.1016/j.envsoft.2016.06.019 CrossRefGoogle Scholar
  5. Castillo A, Porro J, Garridobaserba M, Rosso D, Renzi D, Fatone F (2016b) Validation of a decision support tool for wastewater treatment selection. J Environ Manag 184:409–418.  https://doi.org/10.1016/j.jenvman.2016.09.087 CrossRefGoogle Scholar
  6. Coelho MAZ, Russo C, Araújo OQF (2000) Optimization of a sequencing batch reactor for biological nitrogen removal. Water Res 34:2809–2817.  https://doi.org/10.1016/S0043-1354(00)00010-5 CrossRefGoogle Scholar
  7. de Faria ABB, Ahmadi A, Tiruta-Barna L, Spérandio M. (2016) Feasibility of rigorous multi-objective optimization of wastewater management and treatment plants. Chem Eng Res Des 115: 394–406.  https://doi.org/10.1016/j.cherd.2016.09.005
  8. D’Inverno G, Carosi L, Romano G, Guerrini A (2018) Water pollution in wastewater treatment plants: an efficiency analysis with undesirable output. Eur J Oper Res 260:24–34.  https://doi.org/10.1016/j.ejor.2017.08.028 CrossRefGoogle Scholar
  9. Dehghani MH, Beydokhti TT (2018) Investigating the quality and quantity of effluent in wastewater treatment plants of Iran: a case study of Tehran. MethodsX 5:871–880.  https://doi.org/10.1016/j.mex.2018.07.015 CrossRefGoogle Scholar
  10. Dörschner T, Musshoff O (2015) How do incentive-based environmental policies affect environment protection initiatives of farmers? An experimental economic analysis using the example of species richness. Ecol Econ 114:90–103.  https://doi.org/10.1016/j.ecolecon.2015.03.013 CrossRefGoogle Scholar
  11. Garfí M, Flores L, Ferrer I (2017) Life cycle assessment of wastewater treatment systems for small communities: activated sludge, constructed wetlands and high rate algal ponds. J Clean Prod 161:211–219.  https://doi.org/10.1016/j.jclepro.2017.05.116 CrossRefGoogle Scholar
  12. Gómez T, Gémar G, Molinos-Senante M, Sala-Garrido R, Caballero R (2018) Measuring the eco-efficiency of wastewater treatment plants under data uncertainty. J Environ Manag 226:484–492.  https://doi.org/10.1016/j.jenvman.2018.08.067 CrossRefGoogle Scholar
  13. Guerrero J, Guisasola A, Comas J, Rodríguez-Roda I, Baeza J (2012) Multi-criteria selection of optimum wwtp control setpoints based on microbiology-related failures, effluent quality and operating costs. Chem Eng J 188:23–29.  https://doi.org/10.1016/j.cej.2012.01.115 CrossRefGoogle Scholar
  14. Hafez A, Khedr M, Gadallah H (2007) Wastewater treatment and water reuse of food processing industries. Part II: techno-economic study of a membrane separation technique. Desalination 214:261–272.  https://doi.org/10.1016/j.desal.2006.11.010 CrossRefGoogle Scholar
  15. Hakanen J, Sahlstedt K, Miettinen K (2013) Wastewater treatment plant design and operation under multiple conflicting objective functions. Environ Model Softw 46:240–249.  https://doi.org/10.1016/j.envsoft.2013.03.016 CrossRefGoogle Scholar
  16. Hernándezsancho F, Salagarrido R (2009) Technical efficiency and cost analysis in wastewater treatment processes: a DEA approach. Desalination 249:230–234.  https://doi.org/10.1016/j.desal.2009.01.029 CrossRefGoogle Scholar
  17. Hernandez-Sancho F, Molinos-Senante M, Sala-Garrido R (2011) Cost modelling for wastewater treatment processes. Desalination 268:1–5.  https://doi.org/10.1016/j.desal.2010.09.042 CrossRefGoogle Scholar
  18. Hodgett RE, Siraj S (2018) SURE: a method for decision-making under uncertainty. Expert Syst Appl 115:684–694.  https://doi.org/10.1016/j.eswa.2018.08.048 CrossRefGoogle Scholar
  19. Hreiz R, Roche N, Benyahia B, Latifi MA (2015) Multi-objective optimal control of small-size wastewater treatment plants. Chemical Engineering Research & Design 102:345–353.  https://doi.org/10.1016/j.cherd.2015.06.039 CrossRefGoogle Scholar
  20. Jank BE, Guo HM, Cairns VW (1974) Activated sludge treatment of airport wastewater containing aircraft de-icing fluids. Water Res 8:875–880.  https://doi.org/10.1016/0043-1354(74)90100-6 CrossRefGoogle Scholar
  21. Langergraber G, Pressl A, Kretschmer F, Weissenbacher N (2018) Small wastewater treatment plants in Austria -technologies, management and training of operators. Ecol Eng 120:164–169.  https://doi.org/10.1016/j.ecoleng.2018.05.030 CrossRefGoogle Scholar
  22. Le QH, Verheijen P, Van ML, Volcke E (2018) Experimental design for evaluating wwtp data by linear mass balances. Water Res 142:415–425.  https://doi.org/10.1016/j.watres.2018.05.026 CrossRefGoogle Scholar
  23. Li W, Li L, Qiu G (2017) Energy consumption and economic cost of typical wastewater treatment systems in Shenzhen, China. J Clean Prod 163:5374–5378.  https://doi.org/10.1016/j.jclepro.2015.12.109 Google Scholar
  24. Liu Z, Miao Q, An W, Sun Z (2007) An application of membrane bio-reactor process for the wastewater treatment of Qingdao international airport. Desalination 202:144–149.  https://doi.org/10.1016/j.desal.2005.12.050 CrossRefGoogle Scholar
  25. Long S, Zhao L, Shi T, Li J, Yang J, Liu H (2018) Pollution control and cost analysis of wastewater treatment at industrial parks in taihu and haihe water basins. J Clean Prod 172:2435–2442.  https://doi.org/10.1016/j.jclepro.2017.11.167 CrossRefGoogle Scholar
  26. Lu B, Du X, Huang S (2017) The economic and environmental implications of wastewater management policy in China: from the LCA perspective. J Clean Prod 142:3544–3557.  https://doi.org/10.1016/j.jclepro.2016.10.113 CrossRefGoogle Scholar
  27. Lv Y (2009) The typical city secondary sewage plant cost models and the optimization design. Kunming University of Science, Kunming China (in Chinese) http://kns.cnki.net/kns/brief/default_result.aspx. Accessed March 2009
  28. Oakley SM, Gold AJ, Oczkowski AJ (2010a) Nitrogen control through decentralized wastewater treatment: process performance and alternative management strategies. Ecol Eng 36:1520–1531.  https://doi.org/10.1016/j.ecoleng.2010.04.030 CrossRefGoogle Scholar
  29. Oakley SM, Gold AJ, Oczkowski AJ (2010b) Nitrogen control through decentralized wastewater treatment: process performance and alternative management strategies. Ecol Eng 36:1520–1531.  https://doi.org/10.1016/j.ecoleng.2010.04.030 CrossRefGoogle Scholar
  30. Passos RG, Von SM, Ribeiro TB (2014) Performance evaluation and spatial sludge distribution at facultative and maturation ponds treating wastewater from an international airport. Water Sci Technol 70:226–233.  https://doi.org/10.2166/wst.2014.215 CrossRefGoogle Scholar
  31. Renouf MA, Serraoneumann S, Kenway SJ, Morgan EA, Low CD (2017) Urban water metabolism indicators derived from a water mass balance - bridging the gap between visions and performance assessment of urban water resource management. Water Res 122:669–677.  https://doi.org/10.1016/j.watres.2017.05.060 CrossRefGoogle Scholar
  32. Ribeiro EN, De Sousa WC, De Julio M, Irrazabal WU, Nolasco MA (2013) Airports and environment: proposal of wastewater reclamation at São Paulo international airport. Acta Hydrochim Hydrobiol 41:627–634.  https://doi.org/10.1002/clen.201100682 Google Scholar
  33. Sabeen AH, Noor ZZ, Ngadi N, Almuraisy S, Raheem AB (2018) Quantification of environmental impacts of domestic wastewater treatment using life cycle assessment: a review. J Clean Prod 190:221–233.  https://doi.org/10.1016/j.jclepro.2018.04.053 CrossRefGoogle Scholar
  34. Shen Y, Linville JL, Urgun-Demirtas M, Mintz MM, Snyder SW (2015) An overview of biogas production and utilization at full-scale wastewater treatment plants (wwtps) in the United States: challenges and opportunities towards energy-neutral wwtps. Renew Sust Energ Rev 50:346–362.  https://doi.org/10.1016/j.rser.2015.04.129 CrossRefGoogle Scholar
  35. Stickland AD, Skinner SJ, Cavalida RG, Scales PJ (2018) Optimisation of filter design and operation for wastewater treatment sludge. Sep Purif Technol 198:31–37.  https://doi.org/10.1016/j.seppur.2017.01.070 CrossRefGoogle Scholar
  36. Sun BZ, Ma WM (2013) Uncertainty measure for general relation-based rough fuzzy set. Kybernetes 42:979–992.  https://doi.org/10.1108/K-12-2012-0119 CrossRefGoogle Scholar
  37. Torregrossa D, Schutz G, Cornelissen A, Hernández-Sancho F, Hansen J (2016) Energy saving in wwtp: daily benchmarking under uncertainty and data availability limitations. Environ Res 148:330–337.  https://doi.org/10.1016/j.envres.2016.04.010 CrossRefGoogle Scholar
  38. Wang Q, Yang Z (2016) Industrial water pollution, water environment treatment, and health risks in China. Environ Pollut 218:358–365.  https://doi.org/10.1016/j.envpol.2016.07.011 CrossRefGoogle Scholar
  39. Yu J, Dinar A, Hellegers P (2018) Economics of social trade-off: balancing wastewater treatment cost and ecosystem damage. J Environ Manag 211:42–52.  https://doi.org/10.1016/j.jenvman.2018.01.047 CrossRefGoogle Scholar
  40. Zhang R, Xie WM, Yu HQ, Li WW (2014) Optimizing municipal wastewater treatment plants using an improved multi-objective optimization method. Bioresour Technol 157:161–165.  https://doi.org/10.1016/j.biortech.2014.01.103 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduChina

Personalised recommendations