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<br /> <br /> <br />Water Storage Siting Study <br />City of Lino Lakes <br />WSB Project No. 2988-44 Page 12 <br />5. IDENTIFICATION AND ANALYSIS OF POTENTIAL LOCATIONS <br /> <br />5.1 Site Identification <br /> <br />Potential sites for constructing a 1.5 MG composite water tower were identified for further analysis based <br />on location in the distribution system, ground elevations, and potential for ownership. A range of <br />geographical locations were selected and modeled to gain a more complete understanding of the <br />implications on the distribution system. <br /> <br />Five initial sites were considered and discussed with City staff. Three of the sites on the west side of the <br />City were eliminated due to hydraulic balancing concerns and their proximity to Tower One. Two <br />additional sites, both located centrally in the water distribution system, were selected for further analysis <br />as properties that the City could potentially acquire. The final sites that were analyzed are shown in <br />Figure 2 and summarized below in Table 9. <br /> <br />Table 9. Water Storage Sites Analyzed <br />Site Location <br />Approximate <br />Ground <br />Elevation <br />Nearest <br />Watermain <br />Diameter <br />Ownership <br />Site 1 Birch St. and <br />Timberwolf Tr. 905 ft. 16 in. School District <br />Site 2 Birch St. and 20th <br />Ave. South 910 ft. 16 in. City <br />Site 3 Birch St. and 12th <br />Ave. South 900 ft. 16 in. Private – <br />Agnes Lamotte <br />Site 4 Birch St. and West <br />Shadow Lake Dr. 900 ft. 16 in. School District <br /> <br />5.2 Site Analysis <br /> <br />Each of the four identified sites was modeled with the City’s water distribution system using WaterCAD <br />V8i. Extended period simulation scenarios were run in which the water demands were changed <br />continuously over a duration of 24 hours as they would on a maximum demand day. The model attempts <br />to provide a snapshot into how the water distribution system would respond on a high-demand day; it <br />includes water tower levels, pump controls, and demand fluctuations. By adding a water tower to different <br />locations, the model will provide critical information on how the towers will balance with each other when <br />filling and draining. The model also assists in determining if an altitude valve will be required to allow each <br />of the water towers to be filled to its maximum capacity. Model scenarios were run both with and without <br />altitude valves at each tower. <br /> <br />5.3 Analysis Results <br /> <br />Because of their relative proximity to each other and the well field, the modeling results did not show <br />significant differences between the sites that were analyzed. The model showed larger fluctuations in <br />water elevations for Tower One, and minimal fluctuations for Tower Two and future Tower Three. These <br />results were anticipated as Tower One is located furthest from the well field, and Tower Two currently <br />requires an altitude valve to allow Tower One to be filled to its maximum capacity. Fluctuations were <br />minimized somewhat for Tower Three at Site 4, the site furthest to the west. It is anticipated that Tower <br />Three, regardless of the site selected, will require an altitude valve to balance the system . The expected <br />tower levels that would occur over the maximum day with Tower Three located at each of the four <br />analyzed sites are included in Appendix A. <br />