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冰川冻土 ›› 2020, Vol. 42 ›› Issue (3): 919-926.doi: 10.7522/j.issn.1000-0240.2020.0066

• 寒区工程与灾害 • 上一篇    下一篇

2017 - 2018年冬季乌梁素海湖冰表面裂缝形态分析

李伟1(), 卢鹏1(), 李志军1, 庄峰1, 卢志明1, 李国玉2   

  1. 1.大连理工大学 海岸和近海工程国家重点实验室,辽宁 大连 116024
    2.中国科学院 西北生态环境资源研究院 冻土工程国家重点实验室,甘肃 兰州 730000
  • 收稿日期:2018-04-10 修回日期:2019-08-19 出版日期:2020-10-31 发布日期:2020-12-08
  • 通讯作者: 卢鹏 E-mail:wli@mail.dlut.edu.cn;lupeng@dlut.edu.cn
  • 作者简介:李伟(1992 - ), 男, 山西吕梁人, 2016年在哈尔滨工程大学获学士学位, 现为大连理工大学在读硕士研究生, 从事海冰卫星遥感图像分析研究. E-mail: wli@mail.dlut.edu.cn
  • 基金资助:
    国家自然科学基金项目(51579028);冻土工程国家重点实验室开放基金项目(SKLFSE201604);工信部高技术船舶项目(350631009)

Analysis of ice cracks morphology on lake surface of Lake Wuliangsuhai in the winter of 2017 - 2018

Wei LI1(), Peng LU1(), Zhijun LI1, Feng ZHUANG1, Zhiming LU1, Guoyu LI2   

  1. 1.State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China
    2.State Key Laboratory of Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • Received:2018-04-10 Revised:2019-08-19 Online:2020-10-31 Published:2020-12-08
  • Contact: Peng LU E-mail:wli@mail.dlut.edu.cn;lupeng@dlut.edu.cn

摘要:

在2017 - 2018年冬季使用无人机对乌梁素海湖冰的冰面裂缝进行了航拍, 采用改进的自适应阈值分割方法进行图像二值化处理, 提取了冰裂缝的密度和分形维数。分析结果显示: 在固定区域的冰裂缝分形维数在1.35 ~ 1.50间变化, 冰裂缝数量随时间增加, 其分形维数也随之线性增大; 在冰生长期间, 冰厚度与冰裂缝分形维数也呈现出明显的线性关系(相关系数R2=0.75)。冰面不同区域的冰裂缝密度和分形维数在0.017 ~ 0.079、 1.38 ~ 1.64间变化, 且两者之间存在显著的对数相关性(相关系数R2>0.96), 不同日期航拍数据拟合结果近似相等, 说明冰裂缝密度越大, 对应的分形维数越大。作为表征冰面形态特征的一种物理指标, 建立得到的冰裂缝分形维数与冰厚、 裂缝密度的相关关系, 对未来利用冰面裂缝形态监测冰层的生消过程可提供科学的参考。

关键词: 乌梁素海, 湖冰, 冰裂缝, 图像处理, 分形维数

Abstract:

In the winter of 2017 and 2018, aerial photography of ice surface on Lake Wuliangsuhai was used to determine the density and fractal dimension of the cracks on ice surface, by using improved adaptive-thresholding and image segmentation. The results show that the fractal dimension of ice cracks at a fixed location changes within the range of 1.35 ~ 1.50, and both the amount and fractal dimension of the cracks increase with time. An obvious linear relationship is found between the fractal dimension and the ice thickness during the period of ice growth, with a correlation coefficient of R2=0.75. For ice cracks at different locations of ice surface, the density varies within 0.017 ~ 0.079, and fractal dimension within 1.38 ~ 1.64. A significant logarithmic relationship is also found between the two parameters, with a correlation coefficient of R2>0.96. Aerial photographs in different days give very similar results of curve fitting, revealing that a larger crack density attributes to a larger fractal dimension of the cracks. As a physical index of ice surface morphology, the relationship between fractal dimension of ice cracks and ice thickness, crack density is developed in this study, which provide a possibility to monitor the ice growth and decay through the evolution of cracks on ice surface.

Key words: Lake Wuliangsuhai, lake ice, ice cracks, image processing, fractal dimension

中图分类号: 

  • P332