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Probabilistic Modelling in the Water Industry
Author(s) -
METCALFE A. V.
Publication year - 1991
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/j.1747-6593.1991.tb00641.x
Subject(s) - sewerage , interim , water industry , probabilistic logic , water supply , statistical model , statistical inference , inference , operations research , environmental science , environmental planning , water resource management , computer science , environmental resource management , environmental engineering , engineering , geography , statistics , mathematics , machine learning , artificial intelligence , archaeology
The water authorities in England and Wales, which have now become water companies, recently had to provide anticipated costs for maintaining the water supply and sewerage systems over the next 20 years. Probabilistic models and statistical inference provide an opportunity to quantify the uncertainty in such exercises. Their use in a study undertaken by a water authority in the north‐east of England is described and illustrated with interim data which were available at an early stage in the exercise.