不同时间尺度吉林市地下水位混沌特性与空间分布
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

吉林省科技攻关资助项目(20100452)和国家潜在油气资源产学研用资助项目(20100331-OSR01-7)


Multiple Timescale Chaos Identification of Groundwater Depth and Subdivision of Jilin City Based on 0-1 Test
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    0-1测试方法是一种可直接作用于时间序列的二元混沌识别方法,该方法不需要相空间重构,是通过量化指标Kc是否接近于0或1来识别时间序列的混沌特性。通过对Chebyshev映射进行混沌检验,验证了其有效性。运用该方法对吉林市83眼监测井2001—2010年不同时间尺度(5、10、15和30d)地下水埋深监测序列进行了混沌识别,并进行了混沌程度比较和空间分布研究。结果表明:吉林市不同时间尺度地下水埋深序列均表现出混沌特性。同时,均方位移随时间的渐进增长率K的空间插值结果具有明显的分区特征,即吉林市北部和南部为高值区,城区为相对低值区,并且随着时间尺度的增大,城区K值的相对低值区范围增大。研究表明,0-1混沌测试方法简单有效,并且具有反映数据序列混沌程度的特性。

    Abstract:

    The 0-1 test method is a new binary test approach which is used for distinguishing chaotic dynamics and applying directly to time series data without the phase space reconstruction. It was proved to be an effective test after test for chaos of Chebyshev map. The 0-1 test method was used to identify the degree and spatial distribution of chaos of 83 monitoring wells with multiple timescale (5, 10, 15 and 30d) groundwater depth surveillance data series from 2001 to 2010 in Jilin city, northeast China. The results showed that multiple timescale groundwater depth surveillance data series of all monitoring wells were chaotic. The minimum K values of multiple timescale (5,10,15 and 30d) groundwater depth surveillance data were 0.9673, 0.9720, 0.9210 and 0.8863, respectively, and the maximum K values were 0.9995, 0.9996, 0.9994 and 0.9992, respectively. In addition, the spatial interpolation of their asymptotic growth rate K showed significantly spatial variability. The highest and lowest K values were mainly occurred in northern, southern part and central urban areas of Jilin city, respectively. The chaos characteristic of groundwater level was influenced by hydrology, meteorology, geology and so on. The findings demonstrated that the 0-1 test method was effective and reliable by using chaotic inspection of the Chebyshev maps and it can be very useful for reflecting the degree of chaos which had a better guiding role for the forecast of groundwater level.

    参考文献
    相似文献
    引证文献
引用本文

闫佰忠,肖长来,乔 雨,梁秀娟,危润初.不同时间尺度吉林市地下水位混沌特性与空间分布[J].农业机械学报,2015,46(1):138-147.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2014-09-28
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2015-01-10
  • 出版日期: 2015-01-10