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用于自身可持续发展分布式可再生能源生态系统的绿色星球架构方法论

Green Planet Architecture-A Methodology for Self-Sustainable Distributed Renewable Energy Ecosystems
作者:A. E. Thomas J. P. Venners N. T. Saxena R. C. Hendricks S. Johnson 作者单位:National Aeronautics and Space Administration, Cleveland, OH. NASA John H. Glenn Research Center at Lewis Field. 加工时间:2014-11-14 信息来源:科技报告(NASA) 索取原文[16 页]
关键词:生物质,地球资源;生态系统;农作物;智能;加油;可再生能源,水资源
摘 要:This planet has been endowed with a host of natural mechanisms to keep the environment and climate in balance. Humans are now facing the need to restore this balance that has been upset in the past years because of a growing population and resource demands. To steer dependency away from freshwater crops and decrease environmental damage from humanity s fuel and energy demands, it is necessary to take advantage of the natural adaptive biomass resources that are already in place. Using methods of "Green Planet Architecture," based on compilations of current research and procedures, could lead to new forms of energy and fueling as well as new sources for food and feed. Green Planet Architecture involves climatic adaptive biomass; geospatial intelligence; agri- and aqua-culture life cycles; and soil, wetland, and shoreline restoration. Plants such as Salicornia, seashore mallow, castor, mangroves, and perhaps Moringa can be modified (naturally, model-assisted, or genetically) to thrive in salt water and brackish water or otherwise not arable conditions, making them potentially new crops that will not displace traditional farming. These fueling sources also have potential to be used in other rapid-growth industries, such as the aviation industry, that have incentive to move towards more sustainable fuel supplies. This report highlights an example of how synergistic development of biomass resources and geospatial intelligence high-performance computing capabilities can be focused to resolve potential drought-famine problems. These techniques provide a basis for future e-science-based discovery (and access) through technology that can be expanded to support global societal applications.
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