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national multiple family submetering and allocation billing program ...

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The final project database was built by combining the individual databases from each<br />

participating study site. Care was taken to preserve anonymity of individual respondents <strong>and</strong><br />

properties by not including any names or addresses. All survey responses were included in the<br />

database. The final database was used by the project team to develop the causal water use<br />

models.<br />

Refining Historic Water Consumption<br />

Before any data analysis could proceed, the gross historic <strong>billing</strong> data were refined. This<br />

process required three steps: meter aggregation, consumption st<strong>and</strong>ardization, <strong>and</strong> the separation<br />

of seasonal <strong>and</strong> non-seasonal consumption.<br />

Meter Aggregation<br />

The first step in refinement was meter aggregation, as there can <strong>and</strong> frequently are<br />

<strong>multiple</strong> water <strong>billing</strong> accounts servicing one property. For all of the participating utilities, all<br />

accounts that had the same property name <strong>and</strong>/or address were grouped together under one<br />

property identification number, or PROPID. This facilitated the aggregation of water use from<br />

<strong>multiple</strong> accounts serving a single property into a single annual volume.<br />

Consumption St<strong>and</strong>ardization<br />

To facilitate data analysis, a single table in the project database was constructed that<br />

contains the historic water consumption data for all properties identified through the postcard<br />

survey. To this end, each individual utility’s database was queried for all water consumption<br />

data available from 1999 to 2002. Different utilities bill in different units (ccf or kgal) <strong>and</strong> can<br />

also have different <strong>billing</strong> periods (monthly or bimonthly). Thus, before being added to the final<br />

table, all data were st<strong>and</strong>ardized to similar monthly consumption periods based on read dates <strong>and</strong><br />

the data were st<strong>and</strong>ardized to units of thous<strong>and</strong> gallons (kgal).<br />

Separation of Seasonal <strong>and</strong> Non-Seasonal Dem<strong>and</strong>s<br />

Where no separate irrigation meter was present, historic consumption data were separated<br />

into seasonal <strong>and</strong> non-seasonal (outdoor <strong>and</strong> indoor) components using an estimation<br />

methodology. The goal was to separate indoor water use from all other non-indoor dem<strong>and</strong>s<br />

using all available information about each property. Obviously, more information was available<br />

for properties that completed the manager survey than from those that just completed the<br />

54

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