10.1007/s40095-021-00455-4

Monitoring of wastewater quality in Lodz sewage system (Poland)—do the current solutions enable the protection of WWTP and receiving water?

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  • Grazyna Sakson*1,
  • Agnieszka Brzezinska1,
  • Dawid Bandzierz1,
  • Dorota Olejnik1,
  • Małgorzata Jedrzejczak1,
  • Dorota Gryglik1,
  • Ewa Badowska1,
  1. Institute of Environmental Engineering and Building Installations, Lodz University of Technology, Lodz, 90-924, PL
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Published in Issue 2021-12-06

How to Cite

Sakson, G., Brzezinska, A., Bandzierz, D., Olejnik, D., Jedrzejczak, M., Gryglik, D., & Badowska, E. (2021). Monitoring of wastewater quality in Lodz sewage system (Poland)—do the current solutions enable the protection of WWTP and receiving water?. International Journal of Energy and Environmental Engineering, 13(2 (June 2022). https://doi.org/10.1007/s40095-021-00455-4
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Abstract

Abstract Solving urban wastewater management problems requires knowledge of wastewater composition and variability. In the case of combined sewerage, this applies to both dry and wet weather. Wastewater composition is changing as a result of the appearance of new substances on the market, the changes in inhabitant lifestyle and the catchment characteristic; therefore, it must be constantly monitored. At the same time, due to the time-consuming and high costs of measurement campaigns, solutions that could limit their scope and facilitate the interpretation of the results are sought. This paper presents the results of the measurement campaign conducted in 2018–2021. The aim of the monitoring was, inter alia, assessment of wastewater composition in terms of threats to wastewater treatment plant and urban rivers, which are receivers of discharge from combined sewer overflows. The obtained results were analyzed using the multivariate statistical methods: Principal Component Analysis and Cluster Analysis. However, the applied methods did not allow for the full identification of the relationship between the wastewater quality parameters as well as the differences and similarities in the wastewater composition from individual parts of the city, which could simplify and reduce the measurement campaigns in the future. Therefore, in the case of large urban catchments, it is necessary to introduce other solutions to control the wastewater composition.

Keywords

  • Municipal wastewater,
  • Monitoring,
  • Sewerage,
  • CA,
  • PCA
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References

  1. Madoux-Humery et al. (2013) Temporal variability of combined sewer overflow contaminants: Evaluation of wastewater micropollutants as tracers of fecal contamination https://doi.org/10.1016/j.watres.2013.04.030
  2. Liu et al. (2015) Role of rainfall and catchment characteristics on urban stormwater quality https://doi.org/10.1007/978-981-287-459-7
  3. Becouze-Lareure et al. (2016) Source characterization and loads of metals and pesticides in urban wet weather discharges https://doi.org/10.1080/1573062X.2015.1011670
  4. Masi et al. (2017) Constructed wetlands for combined sewer overflow treatment: Ecosystem services at Gorla Maggiore https://doi.org/10.1016/j.ecoleng.2016.03.043
  5. Le et al. (2017) Daily wastewater pollutant dynamics with respect to catchment population structure https://doi.org/10.1080/1573062X.2017.1325498
  6. Miller and Hutchins (2017) The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom https://doi.org/10.1016/j.ejrh.2017.06.006
  7. Chudzicki, J., Umiejewska, K.: Changes in the Quality of Domestic Sewage Caused by the Reduction of Water Consumption in Households. J. Ecol. Eng. (2020).
  8. https://doi.org/10.12911/22998993/118300
  9. Gasperi, J., Sebastian, C., Ruban, V., Delamain, M., Percot, S., Wiest, L., Mirande, C., Caupos, E., Demare, D., Diallo Kessoo Kessoo, M., Saad, M., Schwartz, J.J., Dubois, P., Fratta, C., Wolff, H., Moilleron, R., Chebbo, G., Cren, C., Millet, M., Barraud, S., Gromaire, M.C.: Micropollutants in urban stormwater: occurrence, concentrations, and atmospheric contributions for a wide range of contaminants in three French catchments. Environ. Sci. Pollut. Res. (2014).
  10. https://doi.org/10.1007/s11356-013-2396-0
  11. Launay et al. (2016) Organic micropollutants discharged by combined sewer overflows - Characterisation of pollutant sources and stormwater-related processes https://doi.org/10.1016/j.watres.2016.07.068
  12. Han and Currell (2017) Persistent organic pollutants in China’s surface water systems https://doi.org/10.1016/j.scitotenv.2016.12.007
  13. Hannouche et al. (2017) Stochastic evaluation of annual micropollutant loads and their uncertainties in separate storm sewers https://doi.org/10.1007/s11356-017-0384-5
  14. Palli et al. (2019) Occurrence of selected pharmaceuticals in wastewater treatment plants of Tuscany: An effect-based approach to evaluate the potential environmental impact https://doi.org/10.1016/j.ijheh.2019.05.006
  15. Ahmed et al. (2020) Can wastewater analysis be used as a tool to assess the burden of pain treatment within a population? https://doi.org/10.1016/j.envres.2020.109769
  16. Liu et al. (2020) Ecological impact assessment of 110 micropollutants in the Yarlung Tsangpo River on the Tibetan Plateau https://doi.org/10.1016/j.jenvman.2020.110291
  17. Comber et al. (2020) Seasonal variation of contaminant concentrations in wastewater treatment works effluents and river waters https://doi.org/10.1080/09593330.2019.1579872
  18. Eriksson et al. (2005) Chemical hazard identification and assessment tool for evaluation of stormwater priority pollutants https://doi.org/10.2166/wst.2005.0031
  19. Eriksson et al. (2007) Selected stormwater priority pollutants—a European perspective https://doi.org/10.1016/j.scitotenv.2007.05.028
  20. Barbosa et al. (2012) Key issue for sustainable urban stormwater management https://doi.org/10.1016/j.watres.2012.05.029
  21. Pistocchi (2020) A preliminary pan-European assessment of pollution loads from urban runoff https://doi.org/10.1016/j.envres.2020.109129
  22. Park et al. (2010) Probability mass first flush evaluation for combined Sewer discharges https://doi.org/10.1016/S1001-0742(09)60198-4
  23. Qin et al. (2016) Modeling middle and final flush effects of urban runoff pollution in an urbanizing catchment https://doi.org/10.1016/j.jhydrol.2016.01.038
  24. Ma et al. (2018) Pollutant transport analysis and source apportionment of the entire non-point source pollution process in separate sewer systems https://doi.org/10.1016/j.chemosphere.2018.07.184
  25. Lundy et al. (2012) Risk prioritization of stormwater pollutant sources https://doi.org/10.1016/j.watres.2011.10.039
  26. Phadatare, S.S., and Gawande, S.: Review Paper on Development of Water Quality Index. Int. J. Eng. Res. (IJERT) (2016.),
  27. https://doi.org/10.17577/IJERTV5IS050993
  28. Praus (2019) Principal component weighted index for wastewater quality monitoring https://doi.org/10.3390/w11112376
  29. Jamshidzadeh and Tavangari Barzi (2020) Wastewater quality index (WWQI) as an assessment tool of treated wastewater quality for agriculture: a case of North Wastewater Treatment Plant effluent of Isfahan https://doi.org/10.1007/s11356-019-07090-x
  30. Ayoub, M., El-Morsy, A.: Applying the Wastewater Quality Index for Assessing the Effluent Quality of Recently Upgraded Meet Abo El-koum Wastewater Treatment Plant. J. Ecol. Environ. (2021).
  31. https://doi.org/10.12911/22998993/130893
  32. Bach et al. (2014) A critical review of of integrated urban water modeling—Urban drainage and beyond https://doi.org/10.1016/j.envsoft.2013.12.018
  33. Bonhomme and Petrucci (2017) Should we trust build-up/wash-off water quality models at the scale of urban catchments? https://doi.org/10.1016/j.watres.2016.11.027
  34. Brzezińska et al. (2018) Predictive model of pollutant loads discharged by combined sewer overflows https://doi.org/10.2166/wst.2018.050
  35. Liu, Zj., Wan, Jq., Ma, Y. Wang, Y.: Online prediction of effluent COD in the anaerobic wastewater treatment system based on PCA-LSSVM algorithm. Environ. Sci. Pollut. Res. (2019).
  36. https://doi.org/10.1007/s11356-019-04671-8
  37. Fu et al. (2020) Wastewater discharge quality prediction using stratified sampling and wavelet de-noising ANFIS model https://doi.org/10.1016/j.compeleceng.2020.106701
  38. Sakson, G., Brzezińska, A., Kowalski, K.: Threats to wastewater treatment plant in combined sewer system - analysis of problems and possible solutions on the example of Lodz. Rocznik Ochrony Środowiska (Annual Set the Environment Protection) 22, ISSN 1506–218X (2020)
  39. Mohapatra, S, Huang, Ch-H., Mukherji, S., Padhye, L.P.: Occurrence and fate of pharmaceuticals in WWTPs in India and comparison with a similar study in the United States. Chemosphere (2016).
  40. https://doi.org/10.1016/j.chemosphere.2016.06.047
  41. Wojcieszyńska and Guzik (2020) Naproxen in the environment: its occurrence, toxicity to nontarget organisms and biodegradation https://doi.org/10.1007/s00253-019-10343-x
  42. Gasperi et al. (2012) Priority pollutants in urban stormwater: Part 2—Case of combined sewers https://doi.org/10.1016/j.watres.2011.09.041
  43. Brombach and Fuchs (2001) (pp. 1-01) Abschlussbericht Langfassung. ATV-DVWK-Forschungsfonds
  44. Kafi et al. (2008) Spatial variability of the characteristics of combined wet weather pollutant loads in Paris https://doi.org/10.1016/j.watres.2007.08.008
  45. Stankowska et al. (2016) Analysis of the sewage treatment system of the Silesian agglomeration https://doi.org/10.2429/proc.2016.10(1)055
  46. Szeląg, B., Sawicki, P.: Application of the selected classification models to the analysis of the settling capacity of the activated sludge – case study. E3S Web of Conf. (2017).
  47. https://doi.org/10.1051/e3sconf/20171700089
  48. Sun et al. (2016) Characteristics of water quality of municipal wastewater treatment plants in China: Implications for resources utilization and management https://doi.org/10.1016/j.jclepro.2016.05.068
  49. Kurek, K., Bugajski, P., Operacz, A., Śliz,, P., Jóźwiakowski, K.: Influence of variability in the amount of inflow wastewater pollution concentration in small sewer system (case study). E3S Web of Conf. (2019).
  50. https://doi.org/10.1051/e3sconf/20198600028
  51. Carreres-Prieto et al. (2020) Wastewater Quality Estimation through Spectrophotometry-Based Statistical Models https://doi.org/10.3390/s20195631
  52. Zawilski et al. (2014) Opportunities for sustainable management of rainwater: Case study of Łódź https://doi.org/10.1016/j.ecohyd.2014.07.003
  53. Brzezińska et al. (2016) Assessment of pollutant load emission from combined sewer overflows based on the online monitoring https://doi.org/10.1007/s10661-016-5461-6
  54. Group Wastewater Treatment Plant in Lodz.
  55. http://www.gos.lodz.pl
  56. Drozdova et al. (2015) A survey of heavy metals in municipal wastewater in combined sewer systems during wet and dry weather periods https://doi.org/10.1080/1573062X.2013.831913
  57. Bayo and Lopez-Castellanos (2016) Principal factor and hierarchical cluster analyses for the performance assessment of an urban wastewater treatment plant in the Southeast of Spain https://doi.org/10.1016/j.chemosphere.2016.04.038
  58. Cristóvão et al. (2016) Fish canning industry wastewater variability assessment using multivariate statistical methods https://doi.org/10.1016/j.psep.2016.03.016
  59. Kudłak et al. (2016) Environmental risk assessment of Polish wastewater treatment plant activity https://doi.org/10.1016/j.chemosphere.2016.06.086
  60. Barcellos et al. (2021) Downsizing water quality monitoring programs in river basins in Brazil https://doi.org/10.1080/1573062X.2021.1877740
  61. Moufid et al. (2021) Wastewater monitoring by means of e-nose, VE-tonque, TD-GC-MS, and SPME-GC-MS https://doi.org/10.1016/j.talanta.2020.121450
  62. Hannouche, A., Chebbo, G., Joannis, C.: Assessment of the contribution of sewer deposits to suspended solids loads in combined sewer systems during rain events. CABRRES project: chemical, microbiological, spatial characteristics and impacts of contaminants from urban catchments. Environ. Sci. Pollut. Res. (2014).
  63. https://doi.org/10.1007/s11356-013-2395-1
  64. Lourenço et al. (2006) UV spectra analysis for water quality monitoring in a fuel park wastewater treatment plant https://doi.org/10.1016/j.chemosphere.2006.03.041
  65. Kiurski et al. (2015) Statistical methods as indicator of offset printing wastewater quality https://doi.org/10.1007/s00477-014-1013-1
  66. Qin et al. (2012) Wastewater quality monitoring system using sensor fusion and machine learning techniques https://doi.org/10.1016/j.watres.2011.12.005
  67. Sandoval et al. (2013) The evaluation of rainfall influence on combined sewer overflows characteristics: the Berlin case study https://doi.org/10.2166/wst.2013.524
  68. Lepot et al. (2016) Calibration of UV/Vis spectrophotometers: A review and comparison of different methods to estimate TSS and total and dissolved COD concentrations in sewers https://doi.org/10.1016/j.watres.2016.05.070
  69. Hannouche et al. (2017) Assessment of total suspended solids (TSS) event load and its uncertainties in combined sewer system from continuous turbidity measurements https://doi.org/10.1080/1573062X.2016.1254256
  70. Azis et al. (2020) NH4+-N versus pH and ORP versus NO3−-N sensors during online monitoring of an intermittently aerated and fed membrane bioreactor https://doi.org/10.1007/s11356-020-10534-4
  71. Di Lecce, V., Petruzzelli, D., Soldo, D., Quarto, A.: Online wastewater monitoring system using solid state sensor, Conference: 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS). (2016).
  72. https://doi.org/10.1109/EESMS.2016.7504845
  73. Do et al. (2019) Microbial fuel cell-based biosensor for online monitoring wastewater quality: A critical review https://doi.org/10.1016/j.scitotenv.2019.135612
  74. Tardy et al. (2021) Microbial fuel cell biosensor for the determination of biochemical oxygen demand of wastewater samples containing readily and slowly biodegradable organics https://doi.org/10.1007/s10529-020-03050-5