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Methods of the Water-Energy-Food Nexus

Water · 2015 · Vol. 7(10) · pp. 5806–5830
Aiko EndoKimberly BurnettPedcris M. OrencioTerukazu KumazawaChristopher A. WadaAkira IshiiIzumi TsuritaMakoto Taniguchi

Abstract

This paper focuses on a collection of methods that can be used to analyze the water-energy-food (WEF) nexus. We classify these methods as qualitative or quantitative for interdisciplinary and transdisciplinary research approaches. The methods for interdisciplinary research approaches can be used to unify a collection of related variables, visualize the research problem, evaluate the issue, and simulate the system of interest. Qualitative methods are generally used to describe the nexus in the region of interest, and include primary research methods such as Questionnaire Surveys, as well as secondary research methods such as Ontology Engineering and Integrated Maps. Quantitative methods for examining the nexus include Physical Models, Benefit-Cost Analysis (BCA), Integrated Indices, and Optimization Management Models. The authors discuss each of these methods in the following sections, along with accompanying case studies from research sites in Japan and the Philippines. Although the case studies are specific to two regions, these methods could be applicable to other areas, with appropriate calibration.

Water-Energy-Food Nexus StudiesEnergy and Environment ImpactsChild Nutrition and Water AccessNexus (standard)Water energyOntologyManagement scienceData collectionComputer scienceOntology engineeringQualitative researchData scienceEngineering

Funding

  • Research Institute for Humanity and Nature
Citations
229
FWCI
14.11
field-weighted impact
References
32
Percentile
99%
vs. same field & year
Citations per year
Cited by
The Water-Energy-Food Nexus: A systematic review of methods for nexus assessment
Environmental Research Letters · 2018 · 842 citations
References
Calculating a Water Poverty Index
World Development · 2002 · 822 citations
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The Water-Energy-Food Nexus: A systematic review of methods for nexus assessment
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