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Modelling W ater Losses    131


                    amount of apparent loss that a water utility would suffer in spite of enacting all reason-
                    able and effective apparent loss control activities. Similar to the infrastructure leakage
                    index (ILI) that assesses real loss standing as the ratio of current real loss volume over
                    the unavoidable annual real losses (UARL) (See Chap. 7) an apparent loss index (ALI)
                    would be the ratio of the current apparent loss volume in the water audit over the
                    UAAL.
                       However, in lieu of a reliable UAAL measure, the team’s interim recommendation
                    is that 5% of the metered consumption be assumed as a reference value for apparent
                    losses. The authors feel that this may be high for water utilities in developed countries,
                    which typically have good customer meter management and where buildings do not
                    have roof tanks which present the opportunity for very low flows that pass unregis-
                    tered through many water meters. (See Sec. 12.4.) These utilities typically also have
                    reasonable policies and safeguards that prevent exorbitant unauthorized consumption.
                    Therefore the 5% assumption may be high in developed countries, but reasonable for
                    developing countries.
                       The Water Loss Task Force is actively engaged in work to develop a set of apparent
                    loss performance indicators and further information will be made available by the IWA
                    team as research progresses.


                    10.3.1 Modeling Customer Meter Accuracy
                    Customer meters have been called the “cash register” of the utility and are responsible
                    for ensuring an equitable distribution of water volume and income throughout various
                    different customer types within a utility. It is therefore extremely important to assess
                    the accuracy of the meters on a regular basis and make repairs or replace groups of
                    meters to keep the customer meter population at an overall high level of accuracy.
                    Accurate metered consumption data is also necessary for engineering functions such as
                    hydraulic models, evaluation of water conservation programs, and sizing of infrastruc-
                    ture for water resources development. The reader should also refer to Chap. 16 which
                    provides detailed information on meter performance, as well as procedures for meter
                    accuracy testing.
                       It is necessary to model average weighted meter accuracy for the entire customer
                    meter population and include it in the water audit. The water balance calculations are
                    used to deduct the volumes of apparent losses from the total volume of losses in order
                    to arrive at a top-down approximation of the annual volume of real losses.
                       In attempting to quantify the volume of apparent loss due to customer meter inac-
                    curacy in the water audit, it is important to recognize that three primary occurrences
                    cause a meter population to become inaccurate, namely

                        •  Eventual decline of the inherent (mechanical) accuracy of a meter population
                           through wear.
                        •  The meter or the meter reading device may fail or “stop” altogether.
                        •  Meters may not be of the proper size or type to accurately register the full range
                           of water flows encountered in a given customer supply.
                       It is necessary to disaggregate, or separate, the activities of the water utility’s
                    meter management in these three occurrences in order to properly construct a repre-
                    sentative picture of the annual volume of apparent loss attributed to customer meter
                    inaccuracy and the reasons for each disaggregated volume. In this way, planning can
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