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David R. Hokanson
Researcher at Michigan Technological University
Publications - 26
Citations - 981
David R. Hokanson is an academic researcher from Michigan Technological University. The author has contributed to research in topics: Sustainability & Sustainable development. The author has an hindex of 10, co-authored 26 publications receiving 879 citations. Previous affiliations of David R. Hokanson include Arizona State University.
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Journal ArticleDOI
Sustainability Science and Engineering: The Emergence of a New Metadiscipline
James R. Mihelcic,John C. Crittenden,Mitchell J. Small,David R. Shonnard,David R. Hokanson,Quiong Zhang,Hui Chen,Sheryl A. Sorby,Valentine U. James,John W. Sutherland,Jerald L. Schnoor +10 more
TL;DR: It is clear that a focus on green engineering that employs pollution prevention and industrial ecology alone are not sufficient to achieve sustainability, because even systems with efficient material and energy use can overwhelm the carrying capacity of a region or lead to other socially unacceptable outcomes.
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Carbon footprint of water reuse and desalination: a review of greenhouse gas emissions and estimation tools
TL;DR: In this paper, the reported carbon footprint of water reuse and desalination systems from existing literature, recognizing general trends of carbon footprint, and identifying challenges associated with comparing the carbon footprint.
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Educating engineers in the sustainable futures model with a global perspective
James R. Mihelcic,Kurt Paterson,Linda D. Phillips,Qiong Zhang,David Watkins,Brian D. Barkdoll,Valerie J. Fuchs,Lauren M. Fry,David R. Hokanson +8 more
TL;DR: The solutions to the world's current and future problems require that engineers and scientists design and construct ecologically and socially just systems within the carrying capacity of nature without compromising future generations as mentioned in this paper.
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Embodied energy comparison of surface water and groundwater supply options
TL;DR: An input-output based hybrid analysis integrated with structural path analysis was used to develop an embodied energy model and the results were compiled to provide a relative comparison of embodied energy for major water supply options.
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Predicting the performance of fixed-bed granular activated carbon adsorbers
TL;DR: In this paper, a mathematical modeling methodology incorporating the pore and surface diffusion model (PSDM) is proposed for known mixtures in fixed-bed adsorbers, which is successfully compared to a 6-component mixture for empty bed contact times.