Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling

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@Article{Laucelli:2014:JoH,

• author = "Daniele Laucelli and Balvant Rajani and Yehuda Kleiner and Orazio Giustolisi",
• title = "Study on relationships between climate-related covariates and pipe bursts using evolutionary-based modelling",
• journal = "Journal of Hydroinformatics",
• year = "2014",
• volume = "16",
• number = "4",
• pages = "743--757",
• month = "1 " # jul,
• keywords = "genetic algorithms, genetic programming, data-mining, Evolutionary Polynomial Regression, impact of climate on water main bursts, knowledge discovery, pipe burst modelling",
• URL = "https://iwaponline.com/jh/article-pdf/16/4/743/387365/743.pdf",
• DOI = "doi:10.2166/hydro.2013.082",
• abstract = "Researchers extensively studied external loads since they are widely recognized as significant contributors to water pipe failures. Physical phenomena that affect pipe bursts, such as pipe-environment interactions, are very complex and only partially understood. This paper analyses the possible link between pipe bursts and climate-related factors. Many water utilities observed consistent occurrence of peaks in pipe bursts in some periods of the year, during winter or summer. The paper investigates the relationships between climate data (i.e., temperature and precipitation-related covariates) and pipe bursts recorded during a 24-year period in Scarborough (Ontario, Canada). The Evolutionary Polynomial Regression modelling paradigm is used here. This approach is broader than statistical modelling, implementing a multi-modelling approach, where a multi-objective genetic algorithm is used to get optimal models in terms of parsimony of mathematical expressions vs. fitting to data. The analyses yielded interesting results, in particular for cold seasons, where the discerned models show good accuracy and the most influential explanatory variables are clearly identified. The models discerned for warm seasons show lower accuracy, possibly implying that the overall phenomena that underlay the generation of pipe bursts during warm seasons cannot be thoroughly explained by the available climate-related covariates.",
• notes = "This content is only available as a PDF.",

}

Genetic Programming entries for Daniele B Laucelli Balvant Rajani Yehuda Kleiner Orazio Giustolisi

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