Henriques da Silva, Renato; Schmidt, Alexandra M.; Duchesne, Sophie; Fortin St-Gelais, Nicolas (2022): Data underlying the research on On-line warning system for pipe burst using Bayesian dynamic linear models. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/17169383.v1

Dataset

x choose version: version 3 - 2022-09-15 (latest) version 2 - 2022-04-12

• Water and Waste Services
• Other Engineering

dynamic linear model, pipe break, water flow

2015-01-01 to 2016-12-31

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Renato Henriques da Silva , Alexandra M. Schmidt , Sophie Duchesne , Nicolas Fortin St-Gelais

The dataset contains the following items:
- dma1_flow.txt = hourly water flow (m3/h) for district meter area 1- dma2_flow.txt = hourly water flow (m3/h) for district meter area 2(rows are days, columns are the 24 hours)
- dma1_pressure.txt = hourly pressure (psi) for district meter area 1- dma2_pressure.txt = hourly pressure (psi) for district meter area 2(rows are days, columns are the 24 hours)

- temperature.txt = hourly temperature (Celcius)(rows are days, columns are the 24 hours)

- wk_dummy.txt = dummy variable indicating whether its a workday or a weekend(rows are days, columns are the 2 dummy variables)

- dates : dates of the recordings(rows are days)

• 2022-04-04 first online, published, posted

4TU.ResearchData

txt, R-script

• Mitacs IT15343

Halifax Water