| A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management |
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| 作者姓名： | LIU Gang-jun FU Er-jiang WANG Yun-jia ZHANG Ke-fei HAN Bao-ping ARROWSMITH Colin |
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| 作者单位： | [1]School of Mathematical and Geospatial Science, RMIT University, Melbourne, Victoria 3000, Australia [2]School of Environment Science and Spatial Informatics, China University of Mining ＆ Technology, Xuzhou, Jiangsu 221008, China |
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| 摘 要： | More effective environmental pollution control and management are needed due to the increasing environmental impacts from a range of human activities and the growing public demands for a better living environment. Urban air pollution is a serious environmental issue that poses adverse impacts on the health of people and the environment in most metropolitan areas. In this paper, we propose a geoinformatics augmented framework of environmental modelling and information sharing for supporting effective urban air pollution control and management. This framework is outlined in terms of its key components and processes including： 1） an integrated, adaptive network of sensors for environmental monitoring; 2） a set of distributed, interoperable databases for data management; 3） a set of intelligent, robust algorithms and models for environmental modelling; 4） a set of flexible, efficient user interfaces for data access and information sharing; and 5） a reliable, high capacity, high .performance computing and communication infrastructure for integrating and supporting other framework components and processes.
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| 关 键 词： | 城市环境 空气污染 控制 管理 模型 信息共享 |
| 收稿时间： | 16 September 2006 |
| 修稿时间： | 2006-09-162006-11-05 |
A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management |
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| LIU Gang-jun FU Er-jiang WANG Yun-jia ZHANG Ke-fei HAN Bao-ping ARROWSMITH Colin.A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management[J].Journal of China University of Mining and Technology,2007,17(2):172-178. |
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| Authors: | LIU Gang-jun FU Er-jiang WANG Yun-jia ZHANG Ke-fei HAN Bao-ping ARROWSMITH Colin |
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| Affiliation: | 1. School of Mathematical and Geospatial Science, RMIT University, Melbourne, Victoria 3000, Australia;2. School of Environment Science and Spatial Informatics, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China |
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| Abstract: | More effective environmental pollution control and management are needed due to the increasing environ-mental impacts from a range of human activities and the growing public demands for a better living environment. Urban air pollution is a serious environmental issue that poses adverse impacts on the health of people and the environment in most metropolitan areas. In this paper,we propose a geoinformatics augmented framework of environmental modelling and information sharing for supporting effective urban air pollution control and management. This framework is out-lined in terms of its key components and processes including: 1) an integrated,adaptive network of sensors for envi-ronmental monitoring; 2) a set of distributed,interoperable databases for data management; 3) a set of intelligent,robust algorithms and models for environmental modelling; 4) a set of flexible,efficient user interfaces for data access and in-formation sharing; and 5) a reliable,high capacity,high performance computing and communication infrastructure for integrating and supporting other framework components and processes. |
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| Keywords: | environmental modelling information sharing urban air pollution geoinformatics |
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