4.7 Article

A growing concern? Examining the influence of lawn size on residential water use in suburban Boston, MA, USA

Journal

LANDSCAPE AND URBAN PLANNING
Volume 119, Issue -, Pages 113-123

Publisher

ELSEVIER
DOI: 10.1016/j.landurbplan.2013.07.006

Keywords

Water use; Lawns; Suburbanization; GEOMOD; Plum Island Ecosystem

Funding

  1. United States' National Science Foundation (NSF) [OCE-0423565, OCE-1026859, OCE-0620959]
  2. Coupled Natural-Human Systems [BCS-0709685]
  3. Research Experiences for Undergraduates Site [SES-0849985]
  4. Urban Long-Term Research Area-exploratory [BCS-0948984]
  5. Maps and Locals (MALS) [DEB-0620579]
  6. NICHD, University of Colorado Population Center [R21 HD51146]
  7. Direct For Social, Behav & Economic Scie
  8. Division Of Behavioral and Cognitive Sci [0948984] Funding Source: National Science Foundation
  9. Directorate For Geosciences
  10. Division Of Ocean Sciences [1238212] Funding Source: National Science Foundation
  11. Divn Of Social and Economic Sciences
  12. Direct For Social, Behav & Economic Scie [0951366] Funding Source: National Science Foundation

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In the US, households devote a considerable share of their annual water use to outdoor purposes. Existing literature suggests that residential lawns are a major driver of this outdoor use, especially in suburban settings. Yet this has not been tested using a broad-scope, fine-scale, and spatially explicit dataset. This paper presents a spatially explicit analysis of the relationship between household lawns and water use in suburban Boston for the year 2005, and extrapolates this relationship to the year 2030 under different scenarios of (sub)urban growth. We examine this relationship by employing two novel datasets: a 0.5 m resolution land cover classification of the town of Ipswich, MA and a town-wide household-scale monthly water billing dataset. Two scenarios of (sub)urban development in 2030 are explored, representing current trends and smart growth assumptions, using the land change model GEOMOD. Expected total annual residential water use is calculated for each scenario by extrapolating the relationship between household characteristics and water use from 2005 to 2030. We find that lawn cover, living unit density, and the number of bathrooms can explain 90% of the variation in annual residential water use. We estimate that Ipswich, MA could save 46 million liters of residential water use (a reduction of 5%) by pursuing a smart growth strategy. These modest savings are notable as they are achieved strictly through a densification approach to development i.e., the scenario includes no demand side management. (C) 2013 Elsevier B.V. All rights reserved.

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