A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Direct assessment of background leakage levels for individual district metered areas (DMAs) using correspondence of demand characteristics between DMAs
This paper proposes a new approach to rank a group of district metered areas (DMAs) in terms of background and unreported leakage rate and to quantify background/unreported leakage levels for individual DMAs in this group. This is done using an extension of the comparison of flow pattern distributions or CFPD method. The approach presented is based on an assumption of similarity in demand behavior between different DMAs. It requires no other data than net inflow timeseries for the DMAs or supply areas under consideration, and no assumptions other than that of similarity of demand. As such, it provides a low-data-requirements method for the evaluation of background and unreported leakage that does not share underlying assumptions with the commonly used mininum night flow method and may potentially present a supplement or alternative to it. The approach is validated using numerical simulations and applied to flow data of a set of DMAs from the Netherlands. HIGHLIGHTS A new method to rank DMAs in terms of background/unreported leakage; Generates estimates for (ranges of) absolute background/unreported leakage levels; Low data requirements; A single central assumption that is verifiable;
Direct assessment of background leakage levels for individual district metered areas (DMAs) using correspondence of demand characteristics between DMAs
This paper proposes a new approach to rank a group of district metered areas (DMAs) in terms of background and unreported leakage rate and to quantify background/unreported leakage levels for individual DMAs in this group. This is done using an extension of the comparison of flow pattern distributions or CFPD method. The approach presented is based on an assumption of similarity in demand behavior between different DMAs. It requires no other data than net inflow timeseries for the DMAs or supply areas under consideration, and no assumptions other than that of similarity of demand. As such, it provides a low-data-requirements method for the evaluation of background and unreported leakage that does not share underlying assumptions with the commonly used mininum night flow method and may potentially present a supplement or alternative to it. The approach is validated using numerical simulations and applied to flow data of a set of DMAs from the Netherlands. HIGHLIGHTS A new method to rank DMAs in terms of background/unreported leakage; Generates estimates for (ranges of) absolute background/unreported leakage levels; Low data requirements; A single central assumption that is verifiable;
Direct assessment of background leakage levels for individual district metered areas (DMAs) using correspondence of demand characteristics between DMAs
Peter van Thienen (author)
2022
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Battle of Water Networks DMAs: Multistage Design Approach
| British Library Online Contents | 2017
Battle of Water Networks DMAs: Multistage Design Approach
| Online Contents | 2017
Anwendbarkeit des Infrastructure Leakage Index — ILI für kleinere Versorger und Messzonen (DMAs)
| Online Contents | 2009