Replication Data for: Analyzing and Quantifying Key Sources of Uncertainty in Intermittent Water Supply Simulation: Supply Characteristics, Household Tank Size and Time Series of Water Consumption From the Household Tanks

All data used and analysed in this study are provided. As outlined in the methodology presented in Figure 1 of the associated paper, the data were divided into three steps: (1) Definition, (2) Associate a uniform distribution, and (3) Analysis. For each step, the case study, data used, Python scripts have been made available.
This study characterizes uncertainty in supply characteristics using probability distribution functions (PDFs), which were derived from the water supply schedules for Delhi dated May 12, 2020, as provided by Meyer (2023).
Dataset Reference:
Meyer, David, 2023, “Replication Data for: Learning from Intermittent Water Supply Schedules: Visualizing Equality, Equity, and Hydraulic Capacity in Bengaluru and Delhi, India”, https://doi.org/10.5683/SP3/QA0YQM Borealis, V1, UNF:6/qJHOdyuJtg==%3CfileUNF%3E.
The case study data were sourced from:
Campisano, A., Gullotta, A., & Modica, C. (2019). Using EPA-SWMM to simulate intermittent water distribution systems. Urban Water Journal, 15(10), 925–933. https://doi.org/10.1080/1573062X.2019.1597379.