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不同時(shí)間尺度吉林市地下水位混沌特性與空間分布
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吉林省科技攻關(guān)資助項(xiàng)目(20100452)和國家潛在油氣資源產(chǎn)學(xué)研用資助項(xiàng)目(20100331-OSR01-7)


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

    0-1測試方法是一種可直接作用于時(shí)間序列的二元混沌識別方法,該方法不需要相空間重構(gòu),,是通過量化指標(biāo)Kc是否接近于0或1來識別時(shí)間序列的混沌特性,。通過對Chebyshev映射進(jìn)行混沌檢驗(yàn),,驗(yàn)證了其有效性,。運(yùn)用該方法對吉林市83眼監(jiān)測井2001—2010年不同時(shí)間尺度(5,、10,、15和30d)地下水埋深監(jiān)測序列進(jìn)行了混沌識別,,并進(jìn)行了混沌程度比較和空間分布研究。結(jié)果表明:吉林市不同時(shí)間尺度地下水埋深序列均表現(xiàn)出混沌特性,。同時(shí),,均方位移隨時(shí)間的漸進(jìn)增長率K的空間插值結(jié)果具有明顯的分區(qū)特征,即吉林市北部和南部為高值區(qū),,城區(qū)為相對低值區(qū),,并且隨著時(shí)間尺度的增大,城區(qū)K值的相對低值區(qū)范圍增大,。研究表明,,0-1混沌測試方法簡單有效,并且具有反映數(shù)據(jù)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.

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閆佰忠,肖長來,喬 雨,梁秀娟,危潤初.不同時(shí)間尺度吉林市地下水位混沌特性與空間分布[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(1):138-147. Yan Baizhong, Xiao Changlai, Qiao Yu, Liang Xiujuan, Wei Runchu. Multiple Timescale Chaos Identification of Groundwater Depth and Subdivision of Jilin City Based on 0-1 Test[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(1):138-147.

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  • 收稿日期:2014-09-28
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  • 在線發(fā)布日期: 2015-01-10
  • 出版日期: 2015-01-10
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