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基于多源信息融合理论的盐湖资源综合动态监测及预警系统设计与实现
引用本文:王建萍,凌智永,陈亮,芦宝良,邓婷文.基于多源信息融合理论的盐湖资源综合动态监测及预警系统设计与实现[J].盐湖研究,2016,24(1):50-57.
作者姓名:王建萍  凌智永  陈亮  芦宝良  邓婷文
作者单位:中国科学院青海盐湖研究所,青海 西宁 810008;云南大学资源环境与地球科学学院,云南 昆明 650091,中国科学院青海盐湖研究所,青海 西宁 810008,中国科学院青海盐湖研究所,青海 西宁 810008,中国科学院青海盐湖研究所,青海 西宁 810008,云南大学资源环境与地球科学学院,云南 昆明 650091
基金项目:国家自然基金面上项目(41471454);青海应用基础研究面上项目(2015-ZJ-719 )
摘    要:近年来随着人类开采力度的不断加大和全球气候变化的影响,盐湖资源系统正在发生着急剧变化,盐湖生产对环境的影响也日渐突出。将多源信息融合理论与动态综合监测理论相结合,基于GIS、物联网和无线通讯技术,从相互关联的环境、资源和产业多个子系统中选取关键监测指标,从构建理论、构建原则、技术体系和系统结构等方面对构建盐湖资源综合监测系统进行全面设计;并结合青海吉乃尔盐湖区具体实际,在监测站网的最优化布局、传感器选型、数据传输方案和多源数据整合方面开展深入探讨;最后对水灾、环境、生产等预警模型的预警层次和预警模式提出具体实现路径。对保障盐湖产业可持续发展与生产安全,保证西部国民经济、社会和谐发展具有重要意义。

关 键 词:盐湖资源  综合动态监测与预警系统  多源信息融合
收稿时间:2015/4/24 0:00:00
修稿时间:2015/12/28 0:00:00

Based on multi-source information fusion theory, the design and implementation of integrated monitoring and pre-warning system of salt lake resource
Wang Jianping,Ling Zhiyong,Chen Liang,Lu Baoliang and Deng Tingwen.Based on multi-source information fusion theory, the design and implementation of integrated monitoring and pre-warning system of salt lake resource[J].Journal of Salt Lake Research,2016,24(1):50-57.
Authors:Wang Jianping  Ling Zhiyong  Chen Liang  Lu Baoliang and Deng Tingwen
Affiliation:Qinghai Institute of Salt Lakes,Chinese Academy of Sciences,Xining,810008,China;School of Resource and Environmental & Earth Sciences,Yunnan University,Kunming,650091,China,Qinghai Institute of Salt Lakes,Chinese Academy of Sciences,Xining,810008,China,Qinghai Institute of Salt Lakes,Chinese Academy of Sciences,Xining,810008,China,Qinghai Institute of Salt Lakes,Chinese Academy of Sciences,Xining,810008,China and School of Resource and Environmental & Earth Sciences,Yunnan University,Kunming,650091,China
Abstract::As one of the most significant strategic resources in China,Salt Lake Resources play important roles in the economic and social development.With the increasing development efforts in recent years,coupled with the impact of climate changes,salt lake resources systems are experiencing dramatic changes,and the environmental impacts of brine industry is becoming increasingly striking.In order to better understand the evolving patterns and mechanism of changes of modern salt lakes,it is critical to obtain accurate and dynamic data by monitoring.Aiming to establish a monitoring and pre-warning systems in line with the fundamental characteristics of salt lake resources systems,firstly this study frames the concept of integrated dynamic monitoring systems of salt lakes under the guidance of the sustainable theory and systematic theory,and then multiple monitoring factors are carefully selected from interconnected resource,environment and production system based on their significance to sustainable development.Focused on the optimized layout of monitoring stations and methods of integrating the multi-source data,the study also elaborates the principles,the structure,operation technique of monitoring,warning models and warning levels.The results of the study addresses the issue of lacking monitoring systems of salt lakes in China,which contribute to the sustainable development of brine industry in Qinghai Provence as well as western China.
Keywords:Salt Lake Resources  Monitoring and pre-warning system  Data integration
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