Uncertainty quantification of water age in water supply systems by use of spectral propagation
Water distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the exact value is not known. This may be due to a lack of precise knowle...
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| Vydáno v: | Journal of hydroinformatics Ročník 22; číslo 1; s. 111 - 120 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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IWA Publishing
01.01.2020
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| ISSN: | 1464-7141, 1465-1734 |
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| Abstract | Water distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the exact value is not known. This may be due to a lack of precise knowledge like for consumer demand or due to a lack of accessibility as for the pipe roughness. For network managers, the effect of these uncertainties on the network state is important information that supports them in the decision-making process. This effect is generally evaluated by propagating the uncertainties using the mathematical model. In the past, perturbation, fuzzy and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the computational effort of the necessary calculations. This paper uses an alternative spectral approach that uses the polynomial chaos expansion and has the potential to give results of comparable accuracy to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the hydraulic model of two real networks in order to evaluate the influence of uncertain demands on the water age. |
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| AbstractList | Water distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the exact value is not known. This may be due to a lack of precise knowledge like for consumer demand or due to a lack of accessibility as for the pipe roughness. For network managers, the effect of these uncertainties on the network state is important information that supports them in the decision-making process. This effect is generally evaluated by propagating the uncertainties using the mathematical model. In the past, perturbation, fuzzy and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the computational effort of the necessary calculations. This paper uses an alternative spectral approach that uses the polynomial chaos expansion and has the potential to give results of comparable accuracy to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the hydraulic model of two real networks in order to evaluate the influence of uncertain demands on the water age. |
| Author | Iollo, Angelo Braun, Mathias Deuerlein, Jochen Piller, Olivier Mortazavi, Iraj |
| Author_xml | – sequence: 1 givenname: Mathias surname: Braun fullname: Braun, Mathias organization: Irstea, Dept. of Water, Bordeaux Regional Centre, UR ETBX, 50 Ave. de Verdun, Gazinet, F-33612 Cestas, France, Inria Bordeaux-Sud-Ouest, Team MEMPHIS, 200 Avenue de la Vieille Tour, 33405 Talence, France – sequence: 2 givenname: Olivier surname: Piller fullname: Piller, Olivier organization: Irstea, Dept. of Water, Bordeaux Regional Centre, UR ETBX, 50 Ave. de Verdun, Gazinet, F-33612 Cestas, France, School of Civil, Environmental and Mining Engineering, University of Adelaide, South Australia 5005, Australia – sequence: 3 givenname: Jochen surname: Deuerlein fullname: Deuerlein, Jochen organization: School of Civil, Environmental and Mining Engineering, University of Adelaide, South Australia 5005, Australia, 3S Consult GmbH, Albtalstrasse 13, 76137 Karlsruhe, Germany – sequence: 4 givenname: Iraj surname: Mortazavi fullname: Mortazavi, Iraj organization: CNAM Paris, EA-7340-M2N-Modelisation Mathématique et Numérique, 75003 Paris, France – sequence: 5 givenname: Angelo surname: Iollo fullname: Iollo, Angelo organization: Inria Bordeaux-Sud-Ouest, Team MEMPHIS, 200 Avenue de la Vieille Tour, 33405 Talence, France, Université de Bordeaux, IMB, 33400 Talence, France |
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| Cites_doi | 10.2166/hydro.2017.134 10.1061/(ASCE)0733-9496(2009)135:1(38) 10.1061/(ASCE)0733-9496(1996)122:2(137) 10.1061/(ASCE)WR.1943-5452.0000363 10.1016/j.jcp.2010.12.021 10.1061/(ASCE)HY.1943-7900.0000138 10.1080/15730620802613380 10.1016/j.proeng.2014.02.148 10.1016/j.strusafe.2008.06.020 10.2166/aqua.2014.036 10.1016/S0951-8320(03)00058-9 10.1137/S1064827501387826 |
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| DOI | 10.2166/hydro.2019.017 |
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| Keywords | Water age Distribution multimodale Multimodal distribution Real network Uncertainty quantification Waterdistribution systems Réseau réel Quantification d'incertitude |
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| References | (2020032615063683800_HYDRO-D-19-00017C10) 2003; 81 (2020032615063683800_HYDRO-D-19-00017C7) 2010; 136 (2020032615063683800_HYDRO-D-19-00017C5) 2009; 31 (2020032615063683800_HYDRO-D-19-00017C12) 2005 (2020032615063683800_HYDRO-D-19-00017C21) 2013 (2020032615063683800_HYDRO-D-19-00017C16) 2011 2020032615063683800_HYDRO-D-19-00017C18 (2020032615063683800_HYDRO-D-19-00017C19) 1996; 122 (2020032615063683800_HYDRO-D-19-00017C22) 2009; 135 (2020032615063683800_HYDRO-D-19-00017C14) 2014; 70 (2020032615063683800_HYDRO-D-19-00017C9) 2019; 145 (2020032615063683800_HYDRO-D-19-00017C27) 2014; 140 (2020032615063683800_HYDRO-D-19-00017C23) 2017; 19 (2020032615063683800_HYDRO-D-19-00017C6) 2015; 64 (2020032615063683800_HYDRO-D-19-00017C1) 2011; 230 (2020032615063683800_HYDRO-D-19-00017C2) 2005 (2020032615063683800_HYDRO-D-19-00017C13) 2010 (2020032615063683800_HYDRO-D-19-00017C26) 2002; 24 (2020032615063683800_HYDRO-D-19-00017C4) 2013 (2020032615063683800_HYDRO-D-19-00017C8) 2011; 47 (2020032615063683800_HYDRO-D-19-00017C15) 2010 (2020032615063683800_HYDRO-D-19-00017C3) 1936 (2020032615063683800_HYDRO-D-19-00017C17) 2018; 21 (2020032615063683800_HYDRO-D-19-00017C25) 2010 (2020032615063683800_HYDRO-D-19-00017C20) 2009; 6 (2020032615063683800_HYDRO-D-19-00017C24) 2009 |
| References_xml | – volume-title: Sensitivity and Uncertainty Analysis, Vol. II: Applications to Large-Scale Systems year: 2005 ident: 2020032615063683800_HYDRO-D-19-00017C2 – volume: 19 start-page: 823 issue: 6 year: 2017 ident: 2020032615063683800_HYDRO-D-19-00017C23 article-title: Uncertainty in the analysis of urban water supply and distribution systems publication-title: Journal of Hydroinformatics doi: 10.2166/hydro.2017.134 – volume: 135 start-page: 38 issue: 1 year: 2009 ident: 2020032615063683800_HYDRO-D-19-00017C22 article-title: Effect of uncertainty on water distribution system model design decisions publication-title: Journal of Water Resources Planning and Management doi: 10.1061/(ASCE)0733-9496(2009)135:1(38) – volume: 122 start-page: 137 issue: 2 year: 1996 ident: 2020032615063683800_HYDRO-D-19-00017C19 article-title: Numerical methods for modeling water quality in distribution systems: a comparison publication-title: Journal of Water Resources Planning and Management doi: 10.1061/(ASCE)0733-9496(1996)122:2(137) – volume: 140 start-page: 638 issue: 5 year: 2014 ident: 2020032615063683800_HYDRO-D-19-00017C27 article-title: Integrating decision analysis with fuzzy programming application in urban water distribution system operation publication-title: Journal of Water Resources Planning and Management doi: 10.1061/(ASCE)WR.1943-5452.0000363 – volume-title: Uncertainty Quantification: Theory, Implementation, and Applications year: 2013 ident: 2020032615063683800_HYDRO-D-19-00017C21 – volume: 145 start-page: 13 issue: 1 year: 2019 ident: 2020032615063683800_HYDRO-D-19-00017C9 article-title: Quantifying hydraulic and water quality uncertainty to inform sampling of drinking water distribution systems publication-title: Journal of Water Resources Planning and Management – start-page: 722 year: 2010 ident: 2020032615063683800_HYDRO-D-19-00017C15 article-title: Dual calibration for coupled flow and transport models of water distribution systems publication-title: Water Distribution Systems Analysis – year: 2013 ident: 2020032615063683800_HYDRO-D-19-00017C4 article-title: Advantages and limitations of the use of water age as a surrogate for water quality in water distribution systems – start-page: 1205 year: 2009 ident: 2020032615063683800_HYDRO-D-19-00017C24 article-title: A new sparse grid based method for uncertainty propagation – volume-title: Numerical Methods for Stochastic Computations: A Spectral Method Approach year: 2010 ident: 2020032615063683800_HYDRO-D-19-00017C25 – volume: 230 start-page: 2345 issue: 6 year: 2011 ident: 2020032615063683800_HYDRO-D-19-00017C1 article-title: Adaptive sparse polynomial chaos expansion based on least angle regression publication-title: Journal of Computational Physics doi: 10.1016/j.jcp.2010.12.021 – volume: 136 start-page: 34 issue: 1 year: 2010 ident: 2020032615063683800_HYDRO-D-19-00017C7 article-title: Quality modeling of water distribution systems using sensitivity equations publication-title: Journal of Hydraulic Engineering-ASCE doi: 10.1061/(ASCE)HY.1943-7900.0000138 – volume: 6 start-page: 3 issue: 1 year: 2009 ident: 2020032615063683800_HYDRO-D-19-00017C20 article-title: Quo vadis water distribution model calibration? publication-title: Urban Water Journal doi: 10.1080/15730620802613380 – volume: 70 start-page: 1344 year: 2014 ident: 2020032615063683800_HYDRO-D-19-00017C14 article-title: Modeling the transport of physicochemical parameters for water network security publication-title: Procedia Engineering doi: 10.1016/j.proeng.2014.02.148 – volume: 31 start-page: 105 issue: 2 year: 2009 ident: 2020032615063683800_HYDRO-D-19-00017C5 article-title: Aleatory or epistemic? Does it matter? publication-title: Structural Safety doi: 10.1016/j.strusafe.2008.06.020 – volume: 64 start-page: 516 issue: 5 year: 2015 ident: 2020032615063683800_HYDRO-D-19-00017C6 article-title: Assessing measurements uncertainty on trihalomethanes prediction through kinetic models in water supply systems publication-title: Journal of Water Supply: Research and Technology-AQUA doi: 10.2166/aqua.2014.036 – volume: 81 start-page: 23 issue: 1 year: 2003 ident: 2020032615063683800_HYDRO-D-19-00017C10 article-title: Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems publication-title: Reliability Engineering & System Safety doi: 10.1016/S0951-8320(03)00058-9 – volume: 21 start-page: 223 issue: 2 year: 2018 ident: 2020032615063683800_HYDRO-D-19-00017C17 article-title: Placing an ensemble of pressure sensors for leak detection in water distribution networks under measurement uncertainty publication-title: Journal of Hydroinformatics – volume: 24 start-page: 619 issue: 2 year: 2002 ident: 2020032615063683800_HYDRO-D-19-00017C26 article-title: The Wiener–Askey polynomial chaos for stochastic differential equations publication-title: SIAM Journal on Scientific Computing doi: 10.1137/S1064827501387826 – year: 2011 ident: 2020032615063683800_HYDRO-D-19-00017C16 article-title: Porteau: An object-oriented programming hydraulic toolkit for water distribution system analysis – ident: 2020032615063683800_HYDRO-D-19-00017C18 – volume-title: Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics year: 2010 ident: 2020032615063683800_HYDRO-D-19-00017C13 – volume: 47 start-page: W05538 year: 2011 ident: 2020032615063683800_HYDRO-D-19-00017C8 article-title: Fuzzy probabilistic design of water distribution networks publication-title: Water Resources Research – volume-title: Graphs, Networks and Algorithms year: 2005 ident: 2020032615063683800_HYDRO-D-19-00017C12 – volume-title: Analysis of Flow in Networks of Conduits or Conductors year: 1936 ident: 2020032615063683800_HYDRO-D-19-00017C3 |
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| SubjectTerms | Accuracy Age Chaos Chlorine Collocation methods Computer applications Computer simulation Decision making Design of experiments Distribution management Drinking water Engineering Sciences Epistemology Hydraulic models Hydraulics Investigations Mathematical models Mathematics Monte Carlo simulation Networks Numerical models Optimization Perturbation methods Polynomials Propagation Random variables Roughness Statistical methods Stochastic models Uncertainty Water conveyance Water distribution Water engineering Water quality Water supply Water supply systems |
| Title | Uncertainty quantification of water age in water supply systems by use of spectral propagation |
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