Planning & Management

Oral

400796 - Mining Water Billing Data to Explore Outdoor Water Use During Different Weather Conditions

Monday, June 4
4:00 PM - 5:30 PM
Location: Greenway GH

Residential water consumption patterns vary with season, weather (precipitation and evapotranspiration), changes in pricing structure, and educational water conservation interventions. The effects are recorded in the long-term water consumption billing data. This information can be excavated through appropriate data mining techniques, and can assist water utilities understand consumers’ behaviors, design pricing structures, and target conservation marketing campaigns to ensure an efficient use of resources towards the most effective water conservation plans.
In this study, monthly billing data for about 14,000 single family residential lots, for the period 2008 to 2016, for a city with a population of 112,000 inhabitants in Texas was analyzed. The study period comprises the 2011 drought, dubbed the drought of record, in Texas. Consumption during normal hydrologic years are compared with that during the drought year and years when precipitation was above average, to unearth behaviors, trends, anomalies, and the responses of different consumer groups during these rare seasonal anomalies. The study period also includes a change in the pricing structure, from a flat to a tiered rate. The effect of this change on consumption patterns for different groups of consumers is analyzed.
Further, different groups of consumers were subject to different educational water conservation interventions. For example, a sample of 5,600 customers were informed about their summer outdoor water use through water budget mailers, while a sub-sample received irrigation check-ups, and others received weekly notifications on how to adjust their irrigation controller for optimum irrigation. The effects of these interventions, based on water use patterns, residential lot size, neighborhood characterizes, etc. are discussed.
This results from this study can be applied to cities and water utilities that have long term water billing records and data on neighborhood characteristics.

Chundun Prakash Khedun, PhD

Program Coordinator
Water Management and Hydrological Science, Texas A&M University

Presentation(s):

Send Email for Chundun Khedun

Alan C. Lewis, MS

Graduate Student
Water Management and Hydrological Science, Texas A&M University

Presentation(s):

Send Email for Alan Lewis

Ronald A. Kaiser

Professor
Chair, Urban Water Conservation Team, Texas A&M University

Presentation(s):

Send Email for Ronald Kaiser


Assets

400796 - Mining Water Billing Data to Explore Outdoor Water Use During Different Weather Conditions



Attendees who have favorited this

Please enter your access key

The asset you are trying to access is locked. Please enter your access key to unlock.

Send Email for Mining Water Billing Data to Explore Outdoor Water Use During Different Weather Conditions