极地研究 ›› 2009, Vol. 21 ›› Issue (2): 91-99.

• 研究论文 • 上一篇    下一篇

南极海冰导温系数与孔隙率关系初探

石立琼, 白乙拉, 李志军, Matti Leppranta   

  1. 渤海大学数学系; 大连理工大学海岸和近海工程国家重点实验室; Department of Physics; University of Helsinki;
  • 出版日期:2009-06-30 发布日期:2009-06-30
  • 基金资助:

    国家自然科学基金(40676001);; 国家科技支撑项目(2006BAB18B03);; 大连理工大学海岸和近海工程国家重点实验室开放基金(LP0710);; 渤海大学博士科研启动基金(kj020)资助

PRELIMINARY RESULTS ON RELATIONSHIP BETWEEN THERMAL DIFFUSIVITY AND POROSITY OF SEA ICE IN THE ANTARCTIC

DAN Li-Qiong, BAI Jue-La, LI Zhi-Jun, Matti Leppranta   

  1. 1 Department of Mathematics; Bohai University; Jinzhou 121000; China; 2 State Key Laboratory of Coastal and Offshore Engineering; Dalian University of Technology; Dalian 116024; 3 Finnish Meteorological Institute; FI-00014 Helsinki; Finland; 4 Department of Physics; University of Helsinki; P.O. Box 64; Fi-00014 Helsinki; Finland
  • Online:2009-06-30 Published:2009-06-30

摘要:

利用南极中山站附近固定冰不同季节的温度垂直廓线,冰芯盐度、密度数据,基于Cox等发展的冰内孔隙率计算方法,获得冰内孔隙率的垂直廓线。再通过建立分布参数系统最优控制模型,优化辨识在无热源条件下冰内温度垂直廓线对应的海冰导温系数。通过比较7种冰导温系数同孔隙率的关系,选择出海冰导温系数和孔隙率的最优关系式。用该关系式对同一地点不同年份的海冰进行温度垂直廓线计算,比较辨识的导温系数同孔隙率的关系相对于前人理想海冰模型中的导热系数、比热等公式计算对应条件的海冰垂直温度廓线的优势。两种计算结果说明,辨识得到的关系所引起的偏差在趋势和量级上同理想模式计算的结果相同,但辨识得到的关系更简洁,且更具有物理背景。

关键词: 海冰, 孔隙率, 优化辨识, 数值模拟, 南极, 海冰, 孔隙率, 优化辨识, 数值模拟, 南极

Abstract:

Used sea-ice temperature,salinity and density data from Chinese Antarctic Expedition and the Cox and Weeks formula to calculate porosity in ice,the vertical profile of porosity in ice is calculated. Then the vertical profile of sea-ice thermal diffusivity is obtained by establishing an optimal control model about distributed parameter system. According to seven assumed relations of sea-ice thermal diffusion and porosity,the best relation between the diffusion and porosity is identified. In order to illumina...

Key words: sea ice, porosity, optimal identification, numerical simulations, Antarctica.