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Landscape Water Conservation BMP Lit Review
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Landscape Water Conservation BMP Lit Review
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Last modified
3/29/2011 4:40:15 PM
Creation date
3/29/2011 9:42:53 AM
Metadata
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Template:
Grants
Applicant
Green Industries of Colorado
Fiscal Year (i.e. 2008)
2008
Project Name
BMP Literature Review
CWCB Section
Water Conservation & Drought Planning
Grants - Doc Type
Supporting Documentation
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Landscape Water Conservation BMP Lit Review Invoice
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Literature Review to Assist in Quantification of Expected Benefits of <br />Landscape Water Conservation Best Management Practices (BMPs) <br />1. Mecham, Brent and Ron Boyd. Northern Colorado Water Conservancy District. <br />Case Study: Landscape Irrigation Efficiency of Nine Model Homes, January 2004. <br />�r COP <br />Irrigation Technology, Soil Amendment/Ground Preparation, <br />Irrigation Efficiency <br />Study Type: ❑ Journal ❑ Private Study ❑ Book ®Government/Agency <br />❑ University ❑ Manufacturer <br />Study Description: Nine single- family model homes in an entry -level housing <br />development were selected for a study to determine if changes in landscape <br />maintenance would produce information on how to better manage lawn watering. <br />Year(s) Data Collected: Spring 2003 <br />Quantitative /Qualitative: Provides quantitative findings of study but with <br />multiple BMPs in place (drip irrigation, soil preparation, and irrigation <br />technology). Provides very good background information regarding basis of <br />study <br />Summary of Findings Related to Landscape Water Conservation BMPs: <br />• Drip irrigation and soil preparation had the least amount of excess water <br />usage. <br />• Impioved,sprinkleusystem installation helped conserve <br />Caven ,. <br />• L40dscape'ap., arance began to override the concept of water <br />coiservation (ltiaks vs. conservation) <br />• Lack of communication between all parties involved provided an obstacle <br />to achieving the desired results or reducing water usage. <br />Expected Transferability of Findings in Developing Quantitative Estimates: <br />® High ❑ Medium [ <br />Page 1 <br />
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