多值粗粒化Lempel-Ziv算法在吉林省降水变化复杂度分析中的应用

Application of Multiple Coarse-Grained Lempel-Ziv Algorithm to Analyze Complexity of Precipitation in Jilin Province

降水量序列作为非线性序列的一种,其复杂程度关系到地表径流的产生与地下水动态变化.为了分析吉林省降水变化复杂度的空间展布情况及影响因素,采用小波消噪方法对吉林省28个雨量站54年(1958~2011年)的降水序列进行信噪分离,然后选取多值粗粒化Lempel-Ziv算法计算消噪后不同站点的降水归一化复杂度.结果表明,吉林省降水归一化复杂性测度指标平均值为0.789,最大值0.828出现在长白,最小值0.753出现在九台,且西部(白城、通榆)、东部(汪清、延吉、长白)、中部(吉林、蛟河)地区复杂度较大.大气候类型为降水变化的首要决定因素,其次受海陆位置、环流、地形等多重因素影响.

As a kind of nonlinear time series, complexity of precipitation series is related to the generation of surface runoff and groundwater dynamic condition. In order to analyze the spatial distribution of complexity of precipitation in Jilin Province and its influencing factors, this paper used rainfall data from 28 precipitation stations in Jilin Province during 54 years （1958 - 2011）. Signal-noise was separate from time series by wavelet de-noising, and normalized precipitation complexity was calculated for each station based on multiple coarse-grained Lempel-Ziv algorithm. The results indicate that average precipitation complex value is 0. 789 in Jilin Province, the maximum is 0. 828 in Changbai, the minimum is 0. 753 in Jiutai. The complexity of western （ Baicheng, Tongyu ） , eastern （ Wangqing, Yanji, Changbai ）, central （surroundings of Jilin ） is bigger. Climate type is the primary determinant of precipitation change, secondly influenced by sea-land position, circulation, terrain and other multiple factors.