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INFEWS/T3: Reducing Household Food, Energy and Water Consumption: A Quantitative Analysis of Interventions and Impacts of Conservation

INFEWS/T3: Reducing Household Food, Energy and Water Consumption: A Quantitative Analysis of Interventions and Impacts of Conservation
INFEWS/T3:减少家庭食品、能源和水消耗:保护干预措施和影响的定量分析
批准号:
1639342
负责人:
David Watkins
金额:
$298.34万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-10-01 至 2023-09-30

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PI Name: David WatkinsProposal Number: 1639342Title: INFEWS/T3: Reducing Household Food, Energy, and Water Consumption: A Quantitative Analysis of Interventions and Impacts of ConservationInstitution: Michigan Technological UniversityChanges in household-level actions in the U.S. have the potential to reduce rates of greenhouse gas (GHG) emissions and climate change by reducing consumption of food, energy and water (FEW). This project will identify potential interventions for reducing household FEW consumption, test options in participating households in two communities, and collect data to develop new environmental impact models. It will also identify household consumption behavior and cost-effective interventions to reduce FEW resource use. Research insights can be applied to increase the well-being of individuals at the household level, improve FEW resource security, reduce climate-related risks, and increase economic competitiveness of the U.S. The project will recruit, train, and graduate more than 20 students and early-career scientists from underrepresented groups. Students will be eligible to participate in exchanges to conduct interdisciplinary research with collaborators in the Netherlands, a highly industrialized nation that uses 20% less energy and water per person than the U.S.This study uses an interdisciplinary approach to investigate methods for reducing household FEW consumption and associated direct and indirect environmental impacts, including GHG emissions and water resources depletion. The approach includes: 1) interactive role-playing activities and qualitative interviews with homeowners; 2) a survey of households to examine existing attitudes and behaviors related to FEW consumption, as well as possible approaches and barriers to reduce consumption; and 3) experimental research in residential households in two case-study communities, selected to be representative of U.S. suburban households and appropriate for comparative experiments. These studies will iteratively examine approaches for reducing household FEW consumption, test possible intervention strategies, and provide data for developing systems models to quantify impacts of household FEW resource flows and emissions. A FEW consumption-based life cycle assessment (LCA) model will be developed to provide accurate information for household decision making and design of intervention strategies. The LCA model will include the first known farm-to-fork representation of household food consumption impacts, spatially explicit inventories of food waste and water withdrawals, and a model of multi-level price responsiveness in the electricity sector. By translating FEW consumption impacts, results will identify "hot spots" and cost-effective household interventions for reducing ecological footprints. Applying a set of climate and technology scenarios in the LCA model will provide additional insights on potential benefits of technology adoption for informing policymaking. The environmental impact models, household consumption tracking tool, and role-playing software developed in this research will be general purpose and publicly available at the end of the project to inform future education, research and outreach activities.
期刊论文(33)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1007/s42532-022-00110-0
发表时间: 2022
期刊: Socio-Ecological Practice Research
影响因子: --
作者: [Gagnon, Valoree S., Schelly, Chelsea, Lytle, William, Kliskey, Andrew, Dale, Virginia H., Marshall, Anna-Maria, Rodriguez, Luis F., Williams, Paula, Price, Michael Waasegiizhig, Redd, Elizabeth A.]
通讯作者: Redd, Elizabeth A.
DOI: 10.3390/su13042160
发表时间: 2021-02-01
期刊: SUSTAINABILITY
影响因子: 3.9
作者: [Kliskey, Andrew, Williams, Paula, Floress, Kristin]
通讯作者: Floress, Kristin
Statistical climate model downscaling for impact projections in the Midwest United States
美国中西部影响预测的统计气候模型降尺度
DOI: 10.1002/joc.7406
发表时间: 2022
期刊: International Journal of Climatology
影响因子: --
作者: [Polasky, Andrew D., Evans, Jenni L., Fuentes, Jose D., Hamilton, Holly L.]
通讯作者: Hamilton, Holly L.
A Playful Approach to Household Sustainability: Results From a Pilot Study on Resource Consumption
以有趣的方式实现家庭可持续发展:资源消耗试点研究的结果
DOI: 10.1177/10468781221138583
发表时间: 2022
期刊: Simulation & Gaming
影响因子: 2
作者: [Agusdinata, Datu Buyung, Lukosch, Heide, Hanif, Muhammad, Watkins, David]
通讯作者: Watkins, David
28
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