High-resolution water consumption estimates based on open information

Authors: Xue Li*, Pacific Northwest National Laboratory, Timothy N Mcpherson, Pacific Northwest National Laboratory
Topics: Spatial Analysis & Modeling
Keywords: water consumption, spatial and temporal disaggregation, open information
Session Type: Paper
Day: 4/7/2019
Start / End Time: 2:00 PM / 3:40 PM
Room: Cabinet Room, Omni, West
Presentation File: No File Uploaded

High-resolution, both spatially and temporally, water consumption data is essential in evaluating water infrastructure resilience from local to regional scales. Not all water utilities record consumptions in a desired resolution and their data are rarely open to researchers. This study aims at producing high-resolution water use estimates by spatially and temporally disaggregating the 2015 county-level USGS water use data. It is approached by defining a specific multiplier to adjust base water consumption at a particular place and time. This multiplier is determined based on a wide range of open information regarding water use categories and their patterns, including census, climate, land cover, journal articles, reports, and water utility websites. The quality of water use estimates links to the quantity and quality of supportive data found for specific locations. In this pilot study, we will present detailed methods, data, results, and validation for residential water consumption disaggregation, using the state of Kentucky as a study site. This study yields realistic water consumption estimates which will later be used to feed into a regional water budget and transportation model. The results prove the feasibility of the proposed workflow, which will be used to generate a nation-wide high-resolution dataset.

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