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City of Dallas EEI Water Conservation Study. Gwendolyn Matthews David Pecina Sarah Valero Brandon Turner . Ways to Conserve Water. Take shorter showers Turn off the water while brushing your teeth Water your yard before 10 AM and after 6 PM Water twice a week according to your address
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City of Dallas EEI Water Conservation Study Gwendolyn Matthews David Pecina Sarah Valero Brandon Turner
Ways to Conserve Water • Take shorter showers • Turn off the water while brushing your teeth • Water your yard before 10 AM and after 6 PM • Water twice a week according to your address • Do not water during any form of precipitation • Maintain sprinkler systems
Glossary • DISD - Dallas Independent School District • EEI (Environmental Education Initiative) - a K-12th grade school and community outreach program funded by the City of Dallas and administered by the Science Education Research Laboratory (SERL) at the University of North Texas. • G.I.S. (Geographic Information Systems) – a tool used to visualize, question, analyze, interpret, and understand data to reveal relationships, patterns, and trends. • ZCTA (Zip Code Tabulation Area) – an area established by the Census in order to collect and report data. ZCTAs are similar to Zip Codes.
Research Boundaries Zip Code Map ZCTA Map • Established by the post office in 1970s to make addressing easier. • Established by the census to help collect data.
Overview • Summary of previous year • 2012 Research plan • Results • Next steps
In the Field… • Training • G.I.S. • Learning Experiences • Wastewater/water treatment plants
Summary of Previous Year (2011) • Reevaluated research areas based on three years of water usage data • Built maps using G.I.S. software representing the research areas • Presented results of water data comparisons
Research Purpose • Overall Goal:Through this study, we aim to measure the effects of education on public behavior in relation to water consumption. • Steps to Reach Our Goal: • Attempt to define a research area. • Which areas to conduct the intervention and why? • Through our analyses this summer, we attempt to define two research areas establishing a control and an area to permeate with education.
Variables • Irrigation Ordinance • Marketing • Price of Water • Precipitation • Temperature • Income • Number of housing units • Population • Geographic Location • Education
Price of Water Irrigation Ordinance Marketing • 2008 - .0014 per gallon • 2009 - .0015 per gallon • 2010 - .0015 per gallon • 2011 - .0016 per gallon • 2012 - .0017 per gallon
Precipitation Website: water.weather.gov/precip/download.php Obtained from: National Weather Service
Temperature • Temperature is held as a constant due to its geographic location similarities. http://www.cpc.ncep.noaa.gov/products/tanal/temp_analyses.php
Variables Constants • Irrigation Ordinance • Marketing • Price of Water • Precipitation • Temperature • Income • Number of housing units • Population • Geographic Location • Education
Development of ZCTA Groups • Criteria used for selection • Presence of a public elementary school • Number of K-5 students served by EEI from 2006-2012 • Population in each ZCTA • Three groups based on percent of population served • Group A – 0% • Group B – 0% < x < 2% • Group C – ≥ 2% • We are interested in comparing areas in which we have taught the most and the least
Statistics for Groups A, B, & C • Population (Kruskal-Wallis One Way ANOVA on Ranks) p= 0.004 Pairwise Multiple Comparison: Dunn’s Method B vs A - p<0.05 • Housing Units(One Way ANOVA) p= 0.012 Pairwise Multiple Comparison: Tukey Test B vs A - p<0.05 Groups A and C are not significantly different in regards to population and the number of housing units (p>0.05, ANOVA).
Variables Constants • Income • Number of housing units • Population • Geographic Location • Education • Irrigation Ordinance • Marketing • Price of Water • Precipitation • Temperature
Statistics for Groups A, B, & C contd. • Median Household Income(Kruskal-Wallis One Way ANOVA on Ranks) • p= 0.007 • Pairwise Multiple Comparison: Dunn’s Method • A vsC - p<0.05 Groups A and C are significantly different in regards to the median household income (p<0.05, ANOVA).
Two Research Areas • The statistical analysis revealed: • Groups A and C are not different in regards to population and number of housing units • Groups A and C are different in regards to income • The statistical difference in regards to income showed us that there are two areas: • Research Area 1 • Research Area 2
Research Area 1 Percentage of entire area’s population served: < 2%
Statistics for Research Area 1 and 2 • Income: (t-test) • p=0.459 • Research Area 1 and Area 2 are not significantly different in regards to income (p>0.05), population (p>0.05), or housing units (p>0.05).
Variables Constants • Income • Geographic Location • Education • Marketing • Irrigation Ordinance • Price of Water • Temperature • Rainfall • Number of housing units • Population
Research Area 1 Percentage of entire area’s population served: < 2%
Statistics for Research Areas 1 and 2 • Population(t-test) • p= 0.291 • Housing Units(t-test) • p= 0.335 • Income(t-test) • p= 0.330 Research Areas 1 and 2 are not statistically different in regards to population, housing units, or income (p>0.05, t-test).
VariablesConstants • Geographic Location • Education • Marketing • Irrigation Ordinance • Price of Water • Temperature • Precipitation • Number of housing units • Population • Income
Results: Water Usage • Research Area 2 • > 2% of population served • Research Area 1 • < 2% of population served p=0.000471 Average monthly water usage in research Areas 1 and 2 are statistically different (p<0.001, t-test). The average water use in Area 2 is significantly lower, by 89 gallons, than the average water use in Area 1.
Conclusion: Research Area 1 • The average monthly water use in Area 1 is significantly higher, by 89 gallons, than Area 2 (p<0.05, t-test).
Future Plans • EEI will infiltrate Area 1 with graduate, certified teachers in an attempt to measure the effects of water conservation education on the area’s public water consumption. • Public Elementary Schools in Area 1 • 75224 – Russell, Carpenter, Henderson, and Jordan • 75233 – Tolbert, Webster, and Moreno • 75236 – Bilhartz(Duncanville ISD) • 75237 - McNair
Thank You City of Dallas Water Utilities EEI UNT Team
What does this mean? • Research Area 2 • 2.91% of the population served since 2006 • Average monthly water use = 89 gallons less than Area 1 • 42,082 single family residential households 42,082households X 89gallons conserved per month 3,745,298gallons conserved per month in Area 2 • In one year, this would be a potential savings of 44,943,576 gallons of water for this entire area!