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Using generalized additive models to investigate the environmental effects on pipe failure in clean water networks
2020
npj Clean Water
Predicting pipe failures using statistical modelling benefits from detailed knowledge of the conditions and circumstances which influence such failures. Incorporating this knowledge into model building improves failure predictions. In this study, we model weather, soil and hydrogeological variables in a generalized additive model for five common pipe materials separately, using partial dependence plots to understand the partial effects of each variable on pipe failure. We show how severe
doi:10.1038/s41545-020-0077-3
fatcat:uts6wjr5x5dqbmujo2t4ii4cke