A semi-automated approach to validation and error diagnostics of water network data

We propose a method for quality assurance of raw data from water distribution networks in near real-time. Well-known and novel data analysis methods, including a timestamp drift test, are combined to produce a malfunction indicator database for diagnosing anomalies within data acquisition practices. The method was applied to 112 flow and 111 pressure data sets, covering on average 32 months, located throughout the distribution networks of three...