Spatial computing perspective on food energy and water nexus

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• 作者：Emre Eftelioglu ; Zhe Jiang ; Reem Ali…
• 关键词：Food ; energy ; and water nexus ; Spatial computing ; System of systems ; Sustainability ; Precision agriculture
• 刊名：Journal of Environmental Studies and Sciences
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：6
• 期：1
• 页码：62-76
• 全文大小：9,788 KB
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• 作者单位：Emre Eftelioglu (1)
  Zhe Jiang (1)
  Reem Ali (1)
  Shashi Shekhar (1)
  
  1. University of Minnesota, Minneapolis, MN, USA
  
• 刊物主题：Environment, general; Sustainable Development;
• 出版者：Springer US
• ISSN：2190-6491

文摘

In the coming decades, the increasing world population is expected to grow the demand for food, energy, and water resources. In addition, these resources will be under stress due to the climate change and urbanization. Previously, more problems were caused by piecemeal approaches analyzing and planning those resources independent of each other. The goal of the food, energy, and water (FEW) nexus approach is to prevent such problems by understanding, appreciating, and visualizing the interconnections and interdependencies of FEW resources at local, regional, and global levels. The nexus approach seeks to use the FEW resources as an interrelated system of systems, but data and modeling constraints make it a challenging task. In addition, the lack of complete knowledge and observability of FEW interactions exacerbates the problem. Related work focused on physical science solutions (e.g., desalination, bio-pesticides). No doubt these are necessary and worthwhile for FEW resource security. Overlooked in these work is that spatial computing may help domain scientists achieve their goals for the FEW nexus. In this paper, we describe our vision of the spatial computing’s role in understanding the FEW nexus using a Nexus Dashboard analogy. From a spatial data lifecycle perspective, we provide more details on the spatial computing components behind the Nexus Dashboard vision. In each component, we list new technical challenges that are likely to drive future spatial computing research.