Combining expert knowledge and local data for improved service life modeling of water supply networks

Environmental Modelling and Software

Volumn 42, Issue , 2013, Pages 1-16

  Scholten, Lisa ^a,b   Scheidegger, Andreas ^a   Reichert, Peter ^a,b   Maurer, Max ^a,b  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

^b ETH ZURICH   (Switzerland)

Author keywords

Bayesian inference; Expert aggregation; Expert knowledge elicitation; Scarce data; Service life modeling; Water supply network

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN INFERENCE; COGNITIVE BIAS; DATA PROBLEMS; EXPERT KNOWLEDGE; FREQUENTIST; LIKELIHOOD FUNCTIONS; LOCAL DATA; PRIOR DISTRIBUTION; REAL NETWORK DATUM; ROBUST PARAMETERS; SCARCE DATA; SERVICE LIFE MODELING; SURVIVAL FUNCTION; WATER NETWORKS; WATER SUPPLY NETWORKS;

BAYESIAN NETWORKS; INFERENCE ENGINES; MAXIMUM LIKELIHOOD ESTIMATION; PARAMETER ESTIMATION; WATER SUPPLY;

SERVICE LIFE;

BAYESIAN ANALYSIS; DATA SET; ENVIRONMENTAL MODELING; EXPERT SYSTEM; NUMERICAL MODEL; WATER SUPPLY;

EID: 84874515592     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2012.11.013     Document Type: Article

References (61)

1. Alpert M., Raiffa H. A progress report on the training of probability assessors. Judgment and Uncertainty: Heuristics and Biases 1982, 294-305. Cambridge University Press. D. Kahneman, S. Slovic, A. Tversky (Eds.).
2. Alvisi S., Franchini M. Comparative analysis of two probabilistic pipe breakage models applied to a real water distribution system. Civil Engineering and Environmental Systems 2010, 27(1):1-22.
3. Arreaza, A.S., 2011, Robust Elicitation of Imprecise Expert Knowledge for Water Infrastructure Management, Institute of Environmental Engineering, MSc thesis.
4. Ayyub B.M. Elicitation of Expert Opinions for Uncertainty and Risks 2001, CRC Press LLC. first ed.
5. Berger J.O. Robust Bayesian analysis-sensitivity to the prior. Journal of Statistical Planning and Inference 1990, 25(3):303-328.
6. Bousquet N. Diagnostics of prior-data agreement in applied Bayesian analysis. Journal of Applied Statistics 2008, 35(9):1011-1029.
7. Carrión A., Solano H., Gamiz M.L., Debón A. Evaluation of the reliability of a water supply network from right-censored and left-truncated break data. Water Resources Management 2010, 24(12):2917-2935.
8. Clemen R.T., Winkler R.L. Combining probability distributions from experts in risk analysis. Risk Analysis 1999, 19(2):187-203.
9. Cooke R.M. Experts in Uncertainty: Opinion and Subjective Probability in Science 1991, Oxford University Press, New York.
10. Cooke R.M., Goossens L.L.H.J. TU Delft expert judgment data base. Reliability Engineering & System Safety 2008, 93(5):657-674.
11. Coolen F.P.A. On Bayesian reliability analysis with informative priors and censoring. Reliability Engineering and System Safety 1996, 53(1):91-98.
12. Cordazzo V. Die Sterblickkeit der Schweizer Geburtenjahrgänge 1900 bis 2030, Demos. Informationen aus der Demografie 2006, Federal Statistical Office (BFS), Neuchâtel, p. 32.
13. Dridi L., Mailhot A., Parizeau M., Villeneuve J.-P. Multiobjective approach for pipe replacement based on Bayesian inference of break model parameters. Journal of Water Resources Planning and Management 2009, 135(5):344-354.
14. Eisenbeis P., Rostum J., Le Gat Y. Statistical Models for Assessing the Technical State of Water Networks: Some European Experiences, AWWA American Water Works Association Annual Conference 1999, AWWA, Chicago, Illinois.
15. Eisenführ F., Weber M., Langer T. Rational Decision Making 2010, Springer. first ed.
16. Frühwirth-Schnatter S. Finite Mixture and Markov Switching Models 2006, Springer, New York.
17. Fuchs-Hanusch D., Gangl G., Kornberger B., Kölbl J., Hofrichter J., Kainz H. PiReM-pipe rehabilitation management developing a decision support system for rehabilitation planning of water mains. Water Practice & Technology 2008, 3(1):1-9.
18. Fuchs, D., 2001, Decision Support Systeme für die Rehabilitations planung von Wasserrohrnetzen, Faculty of Civil Engineering, Institute of Urban Water Management and Landscape Water Engineering, PhD thesis.
19. Gelman A., Carlin J.B., Stern H.S., Rubin D.B. Bayesian Data Analysis 2004, Chapmann & Hall/CRC. second ed.
20. Gelman A., Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models 2009, Cambridge University Press, New York.
21. Genest C., Zidek J.V. Combining probability distributions: a critique and an annotated bibliography. Statistical Science 1986, 1(1):114-135.
22. Gillies D. Intersubjective probability and confirmation theory. British Journal for the Philosophy of Science 1991, 42(4):513-533.
23. Harrell J., Frank E. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis 2001, Springer-Verlag.
24. Herz R.K. Alterung und Erneuerung von Infrastrukturbeständen- Ein Kohortenüberlebensmodell, Jahrbuch für Regionalwissenschaft 1995.
25. Herz R.K. Exploring rehabilitation needs and strategies for water distribution networks. Journal of Water Supply Research and Technology AQUA 1998, 47(6):275.
26. Jouini M.N., Clemen R.T. Copula models for aggregating expert opinions. Operations Research 1996, 44(3):444-457.
27. Klein J.P., Moeschberger M.L. Survival Analysis: Techniques for Censored and Truncated Data 2003, Springer, New York, New York. second ed.
28. Kleiner Y., Rajani B. Using limited data to assess future needs. Journal AWWA 1999, 91(7):47-61.
29. Kleiner Y., Rajani B. Comprehensive Review of structural deterioration of water mains: statistical models. Urban Water 2001, 3:131-150.
30. Korving H., van Noortwijk J.M. Bayesian updating of a prediction model for sewer degradation. Urban Water Journal 2008, 5(1):51-57.
31. Krueger T., Page T., Hubacek K., Smith L., Hiscock K. The role of expert opinion in environmental modelling. Environmental Modelling & Software 2012, 36(0):4-18.
32. Kuhnert P.M., Martin T.G., Griffiths S.P. A guide to eliciting and using expert knowledge in Bayesian ecological models. Ecology Letters 2010, 13(7):900-914.
33. Kynn M. The 'heuristics and biases' bias in expert elicitation. Journal of the Royal Statistical Society: Series A (Statistics in Society) 2008, 171(1):239-264.
34. Larrick R.P., Soll J.B. Intuitions about combining opinions: misappreciation of the averaging principle. Management Science 2006, 52(1):111-127.
35. Lele S.R., Allen K.L. On using expert opinion in ecological analyses: a frequentist approach. Environmetrics 2006, 17(7):683-704.
36. Low Choy S., O'Leary R., Mengersen K. Elicitation by design in ecology: using expert opinion to inform priors for Bayesian statistical models. Ecology 2009, 90(1):265-277.
37. Mailhot A., Pelletier G., Noel J.F., Villeneuve J.P. Modeling the evolution of the structural state of water pipe networks with brief recorded pipe break histories: methodology and application. Water Resources Research 2000, 36(10):3053-3062.
38. Nash J.C., Varadhan R. Unifying optimization algorithms to aid software system users: optimx for R. Journal of Statistical Software 2011, 43(9):1-14.
39. O'Hagan A. Probabilistic uncertainty specification: overview, elaboration techniques and their application to a mechanistic model of carbon flux. Environmental Modelling & Software 2012, 36(0):35-48.
40. O'Hagan A., Buck C.E., Daneshkhah A., Eiser J.R., Garthwaite P.H., Jenkinson D.J., Oakley J.E., Rakow T. Uncertain Judgements: Eliciting Experts' Probabilities 2006, John Wiley & Sons.
41. O'Leary R.A., Choy S.L., Murray J.V., Kynn M., Denham R., Martin T.G., Mengersen K. Comparison of three expert elicitation methods for logistic regression on predicting the presence of the threatened brush-tailed rock-wallaby Petrogale penicillata. Environmetrics 2009, 20(4):379-398.
42. Oakley J.E., O'Hagan A. Uncertainty in prior elicitations: a nonparametric approach. Biometrika 2007, 94(2):427-441.
43. Oakley J.E., O'Hagan A. Shelf: The Sheffield Elicitation Framework (version 2.0): School of Mathematics and Statistics 2010, University of Sheffield.
44. Pan W., Chappell R. A nonparametric estimator of survival functions for arbitrarily truncated and censored data. Lifetime Data Analysis 1998, 4(2):187-202.
45. Pelletier G., Mailhot A., Villeneuve J.P. Modeling water pipe breaks - three case studies. Journal of Water Resources Planning and Management 2003, 129(2):115-123.
46. Rajani B., Kleiner Y. Comprehensive review of structural deterioration of water mains: physically based models. Urban Water 2001, 3:151-164.
47. Renaud E., De Massiac J.C., Brémond B., Laplaud C. SIROCO, a decision support system for rehabilitation adapted for small and medium size water distribution companies. Strategic Asset Management of Water Supply and Wastewater Infrastructures 2009, 329-344. IWA Publishing, London. H. Alegre, M. do Céu Almeida (Eds.).
48. Rinderknecht S.L., Borsuk M.E., Reichert P. Eliciting density ratio classes. International Journal of Approximate Reasoning 2011, 52(6):792-804.
49. Rinderknecht S.L., Borsuk M.E., Reichert P. Bridging uncertain and ambiguous knowledge with imprecise probabilities. Environmental Modelling & Software 2012, 36(0):122-130.
50. Roscher H., Ahrens J., Rödiger S., Sorge H.-C. Sanierung und Erneuerung von Wasserrohrnetzen. Rehabilitation von Rohrleitungen- Sanierung und Erneuerung von Ver- und Entsorgungsnetzen 2008, 63-204. B.-U. Weimar (Ed.).
51. Roscher H., Mischner J., Sorge H.-C. Vergleich von Bewertungssystemen für Rohrleitungen: Wasser- und Gasrohrnetze, Erfurt 2005.
52. Runge M.C., Converse S.J., Lyons J.E. Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program. Biological Conservation 2011, 144(4):1214-1223.
53. Scheidegger A. adaptMCMC: Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler 2011, (CRAN R project). 1.0 ed.
54. Speirs-Bridge A., Fidler F., McBride M., Flander L., Cumming G., Burgman M. Reducing overconfidence in the interval Judgements of experts. Risk Analysis 2010, 30(3):512-523.
55. Spetzler C.S., Stael Von Holstein C.-A.S. Probability encoding in decision analysis. Management Science 1975, 22(3):340-358.
56. SVGW Statistische Erhebungen der Wasserversorgungen in der Schweiz Betriebsjahr 2008 2009, Schweizer Verein des Gas- und Wasserfaches, Zürich.
57. Trujillo Alvarez R. Bedarfsprognose und Strategieentwicklung für die Rehabilitation städtischer Wasserrohrnetze. Schriftenreihe des Instituts für Städtebau und Landesplanung 1995, Universität Fridericiana zu Karlsruhe.
58. Tversky A., Kahneman D. Judgment under uncertainty: heuristics and biases. Biases in judgments reveal some heuristics of thinking under uncertainty. Science 1974, 185(4157):1124-1131.
59. Vihola M. Robust adaptive Metropolis algorithm with coerced acceptance rate. Statistics and Computing 2011, 1-12.
60. Wayne N.B. Applied Life Data Analysis 2004, John Wiley & Sons Inc.
61. Winkler R.L. The assessment of prior distributions in Bayesian analysis. Journal of the American Statistical Association 1967, 62:776-880.