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2 WATER DEMAND AND HISTORICAL DEMAND MANAGEMENT <br />2.4.1.1 Climate Variability Impact on Water Supply and Demand <br />Climate variability has the potential to impact water supply patterns and water demand. Recent climate <br />forecasts indicate the potential for a future warming trend in the region. For example, in 2012 the Water <br />Research Foundation completed a Joint Front Range Climate Change Vulnerability Study. All of the scenarios <br />simulated as part of the study showed an increase in annual average temperature ranging from 1 degree to <br />6 degrees Fahrenheit for 2040. However, the annual percent change in precipitation ranged from -15 <br />percent to +17 percent for 2040. While it is becoming more common to consider the impacts of climate <br />variability on water supply planning the potential impact on water demands are less understood because of <br />the variability of temperature and precipitation forecasts. Because recent water demands were used as the <br />basis for forecasting future water demands, the demand forecasts in this plan already reflect some impact <br />on water demand based on current climate conditions. A sensible approach to water demand forecasting is <br />to regularly update demand projections based on actual current conditions. <br />The purpose and goal of this document was to prepare a water conservation plan to improve water <br />efficiency under current supply and demand conditions. In order to plan for potential climate variability it is <br />recommended the City complete an analysis of water supply and demand under climate change conditions <br />to determine the adequacy of the City's water supply under a variety of future climate scenarios; such an <br />effort was outside of the scope of work for this water conservation planning effort. <br />2.4.2 Forecast Development <br />As part of the preparation of the Water Efficiency Plan, three separate demand forecasts were prepared: <br />• Baseline forecast (without conservation) <br />• Passive savings forecast <br />• Passive and active savings forecast <br />The baseline forecasting method used historic demand patterns to establish the baseline per capita demand <br />and then increase these demands with population out to 2032 as if the 2014 per capita water -use patterns <br />continue without change to 2032. This is a standard approach to demand forecasting, but it does not take <br />into account the expected impacts of water efficiency. <br />The second and third forecasts were developed using a more robust approach in which demands were <br />separated out by water -use sector or customer category (for example, residential, commercial, irrigation, <br />etc.), with seasonal and non - seasonal demands (outdoor and indoor) disaggregated for each category. Then <br />a separate demand forecast out to 2032 was prepared for indoor and outdoor demand in each customer <br />category. This allowed the impacts of specific water efficiency measures like high- efficiency toilets and <br />clothes washers to be considered. <br />2.4.2.1 Population Planning Projections <br />The population served with potable water by the City of Louisville in 2013 was approximately 18,584. Staff <br />have indicated that the City plans to achieve a build out population of 22,145 by 2032. This suggests an <br />average annual growth rate of between 0.75 to 1.0 percent per year. Table 10 shows the population forecast <br />for Louisville from 2015 to 2032. The year 2032 was chosen as a demand forecasting horizon. These data are <br />shown graphically in Figure 5. <br />WBG071714052946BSO 2 -13 <br />