A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Estimation of single‐family residential irrigation demand management effectiveness
This article presents a systematic procedure to quantify savings potential of single‐family residential irrigation demand management strategies that can be used to evaluate the optimal blend of these strategies to achieve specified goals. Current irrigation practices, irrigable area, and irrigation application rate are derived for each single‐family residence based on parcel‐level tax assessor's data linked to customer‐level monthly water billing data. Water savings are calculated directly as the difference between current and proposed use after implementation of a management option for each residence. This information is used to develop performance functions that estimate total water savings as a function of the number of implementations for each residence. This procedure allows demand management options to be compared directly with other supply augmentation options when determining the optimal blend. Probabilistic models are derived from benchmark parcel‐level datasets for evaluation of other utilities where direct measurements are unavailable.
Estimation of single‐family residential irrigation demand management effectiveness
This article presents a systematic procedure to quantify savings potential of single‐family residential irrigation demand management strategies that can be used to evaluate the optimal blend of these strategies to achieve specified goals. Current irrigation practices, irrigable area, and irrigation application rate are derived for each single‐family residence based on parcel‐level tax assessor's data linked to customer‐level monthly water billing data. Water savings are calculated directly as the difference between current and proposed use after implementation of a management option for each residence. This information is used to develop performance functions that estimate total water savings as a function of the number of implementations for each residence. This procedure allows demand management options to be compared directly with other supply augmentation options when determining the optimal blend. Probabilistic models are derived from benchmark parcel‐level datasets for evaluation of other utilities where direct measurements are unavailable.
Estimation of single‐family residential irrigation demand management effectiveness
Friedman, Kenneth (author) / Heaney, James P (author) / Morales, Miguel (author) / Palenchar, John (author)
Journal ‐ American Water Works Association ; 106 ; E253-E263
2014-05-01
11 pages
Article (Journal)
Electronic Resource
English
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