Abstract

Outdoor watering of lawns accounts for about half of single-family residential potable water demand in the arid southwest United States. Consequently, many water utilities in the region offer customers cash rebates to replace lawns with drought tolerant landscaping. Here we present a parcel-scale analysis of water savings achieved by a ‘cash-for-grass’ program offered to 60 000 homes in Southern California. The probability a resident will participate in the program, and the lawn area they replace with drought tolerant landscaping, both increase with a home’s outdoor area. The participation probability is also higher if a home is occupied by its owner. From these results we derive and test a simple and generalizable probabilistic framework for upscaling water conservation behavior at the parcel-scale to overall water savings at the city- or water provider-scale, accounting for the probability distribution of parcel outdoor areas across a utility’s service area, climate, cultural drivers of landscape choices, conservation behavior, equity concerns, and financial incentives.

Highlights

  • We present a parcel-scale analysis of water savings achieved by a ‘cash-for-grass’ program offered to 60 000 homes in Southern California

  • Because irrigation of lawns accounts for roughly half of residential water demand in a typical California home [9, 10], many water agencies focused on reducing residential outdoor water use [8]

  • In this letter we examine how the outdoor area and owner occupancy status of individual parcels in Irvine Ranch Water District (IRWD)’s service area—data that are readily available from the local tax assessor’s office—influence the probability that a resident will participate in the rebate program

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Summary

29 April 2020

Stanley B Grant1,2 , Kimberly Duong, Megan A Rippy, Gregory Pierce, David Feldman, Enrique Zanetti and Amy McNulty

Introduction
Definitions of SFR parcel and rebate participation
Parcel-scale features
Data curation
Classification and regression trees (CART)
Participation probability and 95% CIs
Study statistics
Classification and regression tree (CART)
Participation probability
Size distribution of outdoor area
Probabilistic framework for outdoor water savings
Full Text
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