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The paper shows that different methods can be applied to solve the environmental monitoring data assimilation problems, and that the meta-heuristics algorithm combined with the traditional optimization method has a hopeful future in this field., authors=XU Xiangjun, YAO Rentai, CHEN Longquan, authorsList=XU Xiangjun, YAO Rentai, CHEN Longquan, authorCompany=China Institute for Radiation Protection, Taiyuan 030006, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=/amvU6aRljHkMg3o3IoBPQ==, pdfFileSize=1585555, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242136095731818571, articleId=1242136092724502588, tenantId=1146029695717560320, 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徐向军, 姚仁太, 陈龙泉
作者信息
作者简介:
徐向军,研究员,研究方向为辐射防护与环境保护,电子信箱:526731224@qq.com
Methods of data assimilation for environmental atmosphere and their applications
XU Xiangjun, YAO Rentai, CHEN Longquan
Affiliations
    China Institute for Radiation Protection, Taiyuan 030006, China
出版时间: 2017-07-13 doi: 10.3981/j.issn.1000-7857.2017.11.007
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从数据同化的角度,对卡尔曼滤波技术、元启发式算法、贝叶斯推导及逆扩散/轨迹模拟技术、非参数化回归等技术在污染环境大气模拟技术中的应用情况进行了总结分析。分析结果表明,经多种优化方法试用于解决环境监测数据的同化问题中,元启发式算法结合传统优化技术在有效解决环境监测的数据同化问题中具有良好应用前景。
数据同化  /  环境大气  /  监测数据
From the perspective of data assimilation, we analyze some useful technologies including Kalman filter, meta-heuristics algorithm, Bayesian inference, non parametric regression, and traditional optimization method,and summarize their applications to the environmental monitoring data assimilation problem. The paper shows that different methods can be applied to solve the environmental monitoring data assimilation problems, and that the meta-heuristics algorithm combined with the traditional optimization method has a hopeful future in this field.
data assimilation  /  environmental atmosphere  /  monitoring data
徐向军, 姚仁太, 陈龙泉. 环境大气中数据同化技术方法及应用. 科技导报, 2017 , 35 (13) : 52 -56 . DOI: 10.3981/j.issn.1000-7857.2017.11.007
XU Xiangjun, YAO Rentai, CHEN Longquan. Methods of data assimilation for environmental atmosphere and their applications[J]. Science & Technology Review, 2017 , 35 (13) : 52 -56 . DOI: 10.3981/j.issn.1000-7857.2017.11.007

    国际(地区)合作与交流项目(61520106008);国家自然科学基金优秀青年科学基金项目(61522307)

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doi: 10.3981/j.issn.1000-7857.2017.11.007
  • 接收时间:2017-03-02
  • 首发时间:2017-06-14
  • 出版时间:2017-07-13
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  • 收稿日期:2017-03-02
  • 修回日期:2017-06-15
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2种不同金属材料的力学参数

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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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