基于逐步递归关联维数的区域水文序列复杂度计算  

The Complexity Calculation of Regional Hydrologic Sequence Based on the Correlation Dimension of Gradual Recursion

作　　者：于苗[1] 刘东[1] 

机构地区：[1]东北农业大学水利与建筑学院,哈尔滨150030

出　　处：《中国农村水利水电》2012年第3期62-64,68,共4页China Rural Water and Hydropower

基　　金：国家自然科学基金(41071053);中国博士后科学基金(20080440832);中国博士后科学基金特别资助项目(201003410);高等学校博士学科点专项科研基金(20102325120009);黑龙江省自然科学基金(C201026);黑龙江省教育厅科学技术研究项目(11541024);东北农业大学博士启动基金(2009RC37);节水农业黑龙江省高校重点实验室资助

摘　　要：为充分挖掘区域水文序列复杂性特征,以建三江分局8个农场地下水监测资料为依据,采用饱和关联维法和菱形邻域内逐步递归G-P算法确定各农场逐月地下水埋深序列关联维数,并最终给出地下水埋深序列关联维数排序。结果表明:青龙山农场17队地下水埋深序列关联维数值最大,地下水波动情况最复杂,勤得利农场7队和洪河农场8区次之,"859"农场1队序列复杂性最弱。研究成果为区域水文过程复杂性研究提供了一种研究模式,为实现区域地下水资源可持续利用提供了科学依据。In order to discover complex characteristics of regional hydrologic series, we calculate correlation dimensions of each farm＇s groundwater depth series by using the saturation correlation dimension method and G--P gradual recursive algorithm in rhombus neighborhood, which is based on the groundwater depth data of eight farms of the Jiansanjiang Branch Bureau. Finally these dimen- sions of regional hydrological series＂ complexity are sorted. The results show that the correlation dimensions of the 17th team of Qin- glongshan Farm is the biggest and the fluctuation of groundwater is the most complex. And the series＂ complexity of the 7th team of Qindeli Farm, the 8th section of Honghe Farm is weaker, the 1st team of ＂859＂ Farm is the weakest. The result provides a research model of hydrological processes＂ complexity and a scientific proof of sustainable utilization of regional ~rrnnnclwztor

关 键 词：水文序列 关联维数 递归 复杂度 地下水埋深 水资源可持续利用 复杂性特征 计算 

分 类 号：P332.3[天文地球—水文科学]