A modified eco-efficiency framework and methodology for advancing the state of practice of sustainability analysis as applied to green infrastructure: Sustainability Analysis of Rainwater Harvesting

Ghimire, Santosh R.; Johnston, John M.

doi:10.1002/ieam.1928

Title: A modified eco-efficiency framework and methodology for advancing the state of practice of sustainability analysis as applied to green infrastructure: Sustainability Analysis of Rainwater Harvesting

Journal Article · Wed Apr 19 00:00:00 EDT 2017 · Integrated Environmental Assessment and Management

DOI:https://doi.org/10.1002/ieam.1928· OSTI ID:1623561

Ghimire, Santosh R. ^[1]; Johnston, John M. ^[2]

Oak Ridge Inst. for Science and Education (ORISE),Athens, GA (United States) Former Postdoctoral Research Participant. US Environmental Protection Agency, Office of Research and Development
US Environmental Protection Agency, Office of Research and Development

We propose a modified eco-efficiency (EE) framework and novel sustainability analysis methodology for green infrastructure (GI) practices used in water resource management. Green infrastructure practices such as rainwater harvesting (RWH), rain gardens, porous pavements, and green roofs are emerging as viable strategies for climate change adaptation. The modified framework includes 4 economic, 11 environmental, and 3 social indicators. Using 6 indicators from the framework, at least 1 from each dimension of sustainability, we demonstrate the methodology to analyze RWH designs. We use life cycle assessment and life cycle cost assessment to calculate the sustainability indicators of 20 design configurations as Decision Management Objectives (DMOs). Five DMOs emerged as relatively more sustainable along the EE analysis Tradeoff Line, and we used Data Envelopment Analysis (DEA), a widely applied statistical approach, to quantify the modified EE measures as DMO sustainability scores. We also addressed the subjectivity and sensitivity analysis requirements of sustainability analysis, and we evaluated the performance of 10 weighting schemes that included classical DEA, equal weights, National Institute of Standards and Technology’s stakeholder panel, Eco-Indicator 99, Sustainable Society Foundation’s Sustainable Society Index, and 5 derived schemes. We improved upon classical DEA by applying the weighting schemes to identify sustainability scores that ranged from 0.18 to 1.0, avoiding the nonuniqueness problem and revealing the least to most sustainable DMOs. Our methodology provides a more comprehensive view of water resource management and is generally applicable to GI and industrial, environmental, and engineered systems to explore the sustainability space of alternative design configurations.

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Research Organization:: Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0014664

OSTI ID:: 1623561

Journal Information:: Integrated Environmental Assessment and Management, Vol. 13, Issue 5; ISSN 1551-3777

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited By (2)

Sustainability-based optimization algorithm Tavakoli, H.; Barkdoll, B. D. International Journal of Environmental Science and Technology, Vol. 17, Issue 3 https://doi.org/10.1007/s13762-019-02535-9	journal	September 2019
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54 ENVIRONMENTAL SCIENCES
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Sustainability Rainwater harvesting