- -

Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems

Mostrar el registro completo del ítem

Carpitella, S.; Del Olmo, G.; Izquierdo Sebastián, J.; Husband, S.; Boxall, J.; Douterelo, I. (2020). Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems. Water. 12(5):1-18. https://doi.org/10.3390/w12051247

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/162955

Ficheros en el ítem

Thumbnail
Nombre: Carpitella;Del;Iz ...
Tamaño: 1.477Mb
Formato: PDF
Descripción: Versión editorial
Abrir/Preview

Metadatos del ítem

Título: Decision-Making Tools to Manage the Microbiology of Drinking Water Distribution Systems
Autor: Carpitella, Silvia Del Olmo, Gonzalo Izquierdo Sebastián, Joaquín Husband, Stewart Boxall, Joby Douterelo, Isabel
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Fecha difusión:
Resumen:
[EN] This paper uses a two-fold multi-criteria decision-making (MCDM) approach applied for the first time to the field of microbial management of drinking water distribution systems (DWDS). Specifically, the decision-making ...[+]
Palabras clave: Drinking water distribution systems , Water quality monitoring , Microbiological assessment , Multi-criteria system analysis , DEMATEL , FTOPSIS
Derechos de uso: Reconocimiento (by)
Fuente:
Water. (issn: 2073-4441 )
DOI: 10.3390/w12051247
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/w12051247
Código del Proyecto:
info:eu-repo/grantAgreement/UKRI//EP%2FN02950X%2F1/GB/Uncovering microbial tactics in drinking water supply systems: using advances in genetics for countering the effects of climate change/
Agradecimientos:
The research reported here was supported by the UK Engineering and Physical Sciences Research Council (EPSRC), EPSRC-LWEC Challenge Fellowship EP/N02950X/1. We also would like to thank United Utilities for sampling sites, ...[+]
Tipo: Artículo

References

Guidelines for Drinking Water Quality, 4th Edition, Incorporating the 1st Addendum 2017 https://www.who.int/water_sanitation_health/publications/drinking-water-quality-guidelines-4-including-1st-addendum/en/

Water Quality-Sampling-Part 5: Guidance on Sampling of Drinking Water from Treatment Works and Piped Distribution Systems https://www.iso.org/obp/ui/#iso:std:iso:5667:-5:ed-2:v1:en

Deng, W., & Wang, G. (2017). A novel water quality data analysis framework based on time-series data mining. Journal of Environmental Management, 196, 365-375. doi:10.1016/j.jenvman.2017.03.024 [+]
Guidelines for Drinking Water Quality, 4th Edition, Incorporating the 1st Addendum 2017 https://www.who.int/water_sanitation_health/publications/drinking-water-quality-guidelines-4-including-1st-addendum/en/

Water Quality-Sampling-Part 5: Guidance on Sampling of Drinking Water from Treatment Works and Piped Distribution Systems https://www.iso.org/obp/ui/#iso:std:iso:5667:-5:ed-2:v1:en

Deng, W., & Wang, G. (2017). A novel water quality data analysis framework based on time-series data mining. Journal of Environmental Management, 196, 365-375. doi:10.1016/j.jenvman.2017.03.024

McClymont, K., Keedwell, E., & Savic, D. (2015). An analysis of the interface between evolutionary algorithm operators and problem features for water resources problems. A case study in water distribution network design. Environmental Modelling & Software, 69, 414-424. doi:10.1016/j.envsoft.2014.12.023

Izquierdo, J., Montalvo, I., Pérez-García, R., & Matías, A. (2012). On the Complexities of the Design of Water Distribution Networks. Mathematical Problems in Engineering, 2012, 1-25. doi:10.1155/2012/947961

Fox, S., Shepherd, W., Collins, R., & Boxall, J. (2016). Experimental Quantification of Contaminant Ingress into a Buried Leaking Pipe during Transient Events. Journal of Hydraulic Engineering, 142(1), 04015036. doi:10.1061/(asce)hy.1943-7900.0001040

Mounce, S. R., Mounce, R. B., & Boxall, J. B. (2010). Novelty detection for time series data analysis in water distribution systems using support vector machines. Journal of Hydroinformatics, 13(4), 672-686. doi:10.2166/hydro.2010.144

Vališ, D., Hasilová, K., Forbelská, M., & Vintr, Z. (2020). Reliability modelling and analysis of water distribution network based on backpropagation recursive processes with real field data. Measurement, 149, 107026. doi:10.1016/j.measurement.2019.107026

Liu, G., Bakker, G. L., Li, S., Vreeburg, J. H. G., Verberk, J. Q. J. C., Medema, G. J., … Van Dijk, J. C. (2014). Pyrosequencing Reveals Bacterial Communities in Unchlorinated Drinking Water Distribution System: An Integral Study of Bulk Water, Suspended Solids, Loose Deposits, and Pipe Wall Biofilm. Environmental Science & Technology, 48(10), 5467-5476. doi:10.1021/es5009467

Donlan, R. M., & Costerton, J. W. (2002). Biofilms: Survival Mechanisms of Clinically Relevant Microorganisms. Clinical Microbiology Reviews, 15(2), 167-193. doi:10.1128/cmr.15.2.167-193.2002

Douterelo, I., Husband, S., Loza, V., & Boxall, J. (2016). Dynamics of Biofilm Regrowth in Drinking Water Distribution Systems. Applied and Environmental Microbiology, 82(14), 4155-4168. doi:10.1128/aem.00109-16

Wang, H., Hu, C., Hu, X., Yang, M., & Qu, J. (2012). Effects of disinfectant and biofilm on the corrosion of cast iron pipes in a reclaimed water distribution system. Water Research, 46(4), 1070-1078. doi:10.1016/j.watres.2011.12.001

Husband, S., Fish, K. E., Douterelo, I., & Boxall, J. (2016). Linking discolouration modelling and biofilm behaviour within drinking water distribution systems. Water Supply, 16(4), 942-950. doi:10.2166/ws.2016.045

Wingender, J., & Flemming, H.-C. (2011). Biofilms in drinking water and their role as reservoir for pathogens. International Journal of Hygiene and Environmental Health, 214(6), 417-423. doi:10.1016/j.ijheh.2011.05.009

Douterelo, I., Boxall, J. B., Deines, P., Sekar, R., Fish, K. E., & Biggs, C. A. (2014). Methodological approaches for studying the microbial ecology of drinking water distribution systems. Water Research, 65, 134-156. doi:10.1016/j.watres.2014.07.008

Douterelo, I., Sharpe, R. L., & Boxall, J. B. (2013). Influence of hydraulic regimes on bacterial community structure and composition in an experimental drinking water distribution system. Water Research, 47(2), 503-516. doi:10.1016/j.watres.2012.09.053

Harwani, D. (2012). The Great Plate Count Anomaly and the Unculturable Bacteria. International Journal of Scientific Research, 2(9), 350-351. doi:10.15373/22778179/sep2013/122

Ikonen, J., Pitkänen, T., Kosse, P., Ciszek, R., Kolehmainen, M., & Miettinen, I. T. (2017). On-line detection of Escherichia coli intrusion in a pilot-scale drinking water distribution system. Journal of Environmental Management, 198, 384-392. doi:10.1016/j.jenvman.2017.04.090

Wang, Z., Chen, Q., Zhang, J., Dong, J., Yan, H., Chen, C., & Feng, R. (2019). Characterization and source identification of tetracycline antibiotics in the drinking water sources of the lower Yangtze River. Journal of Environmental Management, 244, 13-22. doi:10.1016/j.jenvman.2019.04.070

Yu, J., Kim, D., & Lee, T. (2010). Microbial diversity in biofilms on water distribution pipes of different materials. Water Science and Technology, 61(1), 163-171. doi:10.2166/wst.2010.813

Rogers, J. W., & Louis, G. E. (2008). Risk and opportunity in upgrading the US drinking water infrastructure system. Journal of Environmental Management, 87(1), 26-36. doi:10.1016/j.jenvman.2007.01.002

Henriques, J. J., & Louis, G. E. (2011). A decision model for selecting sustainable drinking water supply and greywater reuse systems for developing communities with a case study in Cimahi, Indonesia. Journal of Environmental Management, 92(1), 214-222. doi:10.1016/j.jenvman.2010.09.016

Ramos-Martínez, E., Herrera, M., Gutiérrez-Pérez, J., Izquierdo, J., & Pérez-García, R. (2014). Rehabilitation Actions in Water Supply Systems: Effects on Biofilm Susceptibility. Procedia Engineering, 89, 225-231. doi:10.1016/j.proeng.2014.11.181

Dalvi-Esfahani, M., Niknafs, A., Kuss, D. J., Nilashi, M., & Afrough, S. (2019). Social media addiction: Applying the DEMATEL approach. Telematics and Informatics, 43, 101250. doi:10.1016/j.tele.2019.101250

Si, S.-L., You, X.-Y., Liu, H.-C., & Zhang, P. (2018). DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications. Mathematical Problems in Engineering, 2018, 1-33. doi:10.1155/2018/3696457

Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1-9. doi:10.1016/s0165-0114(97)00377-1

Gul, M., & Ak, M. F. (2018). A comparative outline for quantifying risk ratings in occupational health and safety risk assessment. Journal of Cleaner Production, 196, 653-664. doi:10.1016/j.jclepro.2018.06.106

Carpitella, S., Certa, A., Izquierdo, J., & La Fata, C. M. (2018). A combined multi-criteria approach to support FMECA analyses: A real-world case. Reliability Engineering & System Safety, 169, 394-402. doi:10.1016/j.ress.2017.09.017

Palczewski, K., & Sałabun, W. (2019). The fuzzy TOPSIS applications in the last decade. Procedia Computer Science, 159, 2294-2303. doi:10.1016/j.procs.2019.09.404

Sarkar, S., Pratihar, D. K., & Sarkar, B. (2018). An integrated fuzzy multiple criteria supplier selection approach and its application in a welding company. Journal of Manufacturing Systems, 46, 163-178. doi:10.1016/j.jmsy.2017.12.004

Dinçer, H., Yüksel, S., & Martínez, L. (2019). Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods. Applied Soft Computing, 79, 186-202. doi:10.1016/j.asoc.2019.03.018

Chen, J.-K., & Chen, I.-S. (2010). Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education. Expert Systems with Applications, 37(3), 1981-1990. doi:10.1016/j.eswa.2009.06.079

Nilashi, M., Samad, S., Manaf, A. A., Ahmadi, H., Rashid, T. A., Munshi, A., … Hassan Ahmed, O. (2019). Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach. Computers & Industrial Engineering, 137, 106005. doi:10.1016/j.cie.2019.106005

Li, G., Ma, X., Chen, R., Yu, Y., Tao, H., & Shi, B. (2019). Field studies of manganese deposition and release in drinking water distribution systems: Insight into deposit control. Water Research, 163, 114897. doi:10.1016/j.watres.2019.114897

Zhu, Y., Wang, H., Li, X., Hu, C., Yang, M., & Qu, J. (2014). Characterization of biofilm and corrosion of cast iron pipes in drinking water distribution system with UV/Cl2 disinfection. Water Research, 60, 174-181. doi:10.1016/j.watres.2014.04.035

Du, Y.-W., & Zhou, W. (2019). New improved DEMATEL method based on both subjective experience and objective data. Engineering Applications of Artificial Intelligence, 83, 57-71. doi:10.1016/j.engappai.2019.05.001

Carpitella, S., Carpitella, F., Certa, A., Benítez, J., & Izquierdo, J. (2018). Managing Human Factors to Reduce Organisational Risk in Industry. Mathematical and Computational Applications, 23(4), 67. doi:10.3390/mca23040067

Gerami Seresht, N., & Fayek, A. R. (2019). Computational method for fuzzy arithmetic operations on triangular fuzzy numbers by extension principle. International Journal of Approximate Reasoning, 106, 172-193. doi:10.1016/j.ijar.2019.01.005

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-x

Prokopowicz, P. (2019). The use of Ordered Fuzzy Numbers for modelling changes in dynamic processes. Information Sciences, 470, 1-14. doi:10.1016/j.ins.2018.08.045

Okunuki, S., Kawaharasaki, M., Tanaka, H., & Kanagawa, T. (2004). Changes in phosphorus removing performance and bacterial community structure in an enhanced biological phosphorus removal reactor. Water Research, 38(9), 2433-2439. doi:10.1016/j.watres.2004.02.008

Rofner, C., Sommaruga, R., & Teresa Pérez, M. (2016). Phosphate and ATP uptake by lake bacteria: does taxonomical identity matter? Environmental Microbiology, 18(12), 4782-4793. doi:10.1111/1462-2920.13368

Ferro, P., Vaz-Moreira, I., & Manaia, C. M. (2019). Betaproteobacteria are predominant in drinking water: are there reasons for concern? Critical Reviews in Microbiology, 45(5-6), 649-667. doi:10.1080/1040841x.2019.1680602

Ertekin, E., Hatt, J. K., Konstantinidis, K. T., & Tezel, U. (2016). Similar Microbial Consortia and Genes Are Involved in the Biodegradation of Benzalkonium Chlorides in Different Environments. Environmental Science & Technology, 50(8), 4304-4313. doi:10.1021/acs.est.5b05959

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem