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| 河川径流的灰色拓扑预测研究——以新疆阿克苏河为例 | |
| 引用本文： | 张霞,陈亚宁,黄海龙,陈忠升.河川径流的灰色拓扑预测研究——以新疆阿克苏河为例[J].第四纪研究,2010,30(1):216-223. |
| 作者姓名： | 张霞 陈亚宁 黄海龙 陈忠升 |
| 作者单位： | 1. 中国科学院新疆生态与地理研究所,中国科学院绿洲生态与荒漠环境重点实验室,乌鲁木齐,830011;新疆农业大学草业与环境科学学院,乌鲁木齐,830052 2. 中国科学院新疆生态与地理研究所,中国科学院绿洲生态与荒漠环境重点实验室,乌鲁木齐,830011 3. 新疆农业大学草业与环境科学学院,乌鲁木齐,830052 |
| 基金项目： | 国家自然科学基金项目，中国科学院知识创新工程重要方向项目 |
| 摘 要： | 根据阿克苏河流域内出山口水文站1957～2006年的径流实测资料，利用数理统计、Mann-Kendall非参数趋势检验及小波分析等方法对径流年际变化特征进行了分析。研究发现，阿克苏河年径流量具有相对稳定且振荡上升的趋势，年际变化小； 径流序列在1993年发生突变，径流量呈现出显著增加趋势，且通过了α=0.05的显著性水平检验； 丰、枯水周期变化存在着25a左右的主周期，丰水年发生在20世纪90年代后期，且大量连续出现，最长持续时间达7年，枯水年多以连续2年的形式出现，平水年年数占52％。运用灰色拓扑预测方法对突变前后两个径流时间序列分别进行了模拟和预测，模拟结果的平均相对误差仅为12.06％，且位于同一突变区间的精度达97.7％，预测未来几年阿克苏河年径流量存在上升趋势，但趋势不显著。 |
| 关 键 词： | 趋势分析 灰色拓扑预测 年径流量 小波分析 阿克苏河 |
ANNUAL RUNOFF PREDICTING BASED ON GRAY TOPOLOGY——A CASE STUDY OF THE AKSU RIVER |
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| Zhang Xia,Chen Yaning,Huang Hailong,Chen Zhongsheng.ANNUAL RUNOFF PREDICTING BASED ON GRAY TOPOLOGY——A CASE STUDY OF THE AKSU RIVER[J].Quaternary Sciences,2010,30(1):216-223. | |
| Authors: | Zhang Xia Chen Yaning Huang Hailong Chen Zhongsheng |
| Institution: | Key Laboratory of Oasis Ecology and Desert Environment|Xinjiang Institute of Ecology and Geography|Chinese Academy of Sciences|ürümqi830011|College of Pratacultural and Environmental Sciences|Xinjiang Agricultural University|rümqi830052 |
| Abstract: | The Aksu River is a main tributary of the Tarim River,whose upper branches are in the territory of Kirghizsta,132kin long.The Aksu River is composed the two tributaries of the Tuoshigan River and the Kunmalike River.The Aksu Basin lies in an arid and semi-arid region of China,and it has typical hydrographical characteristics of inland rivers in the northwest of China.According to gauged discharges in the two representative hydrologic stations of the Shaliguilanke and the Xiehela,this paper uses a statistical method,the Kendall non-parameter tendency test and the wavelet analysis to analyze annual distribution and variation characteristics on the basis of the observations of annual runoff from 1957 to 2006.The result shows that the variation coefficient over years is small and relatively stable:C_v is 0.154 and the change range increases by 5.29×10~8m~3/10a.On the one hand,the result reveals there was a sudden change in 1993 in the annual runoff sequence,and after this spot,the amount of runoff volume increased distinctly,which passed significance test (α=0.05).On the other hand,for the alternate time for annual runoff high to low,there is an about 25a main cycle,which was obtained through performing multi-scale transformation of the annual runoff sequence using the wavelet analysis theory.The high runoff year appeared continuously in the late 1990s,with a longest duration of 7 years,while the low runoff year mostly appeared in a cycle of two years.The number of normal runoff year account for 52% of the total years.In order to objectively display this complex wave shape of annual runoff change,this paper introduced the gray topology forecasting method.According to the observations of annual runoff data for 30 years(1957～1986) before the sudden change spot,this paper established a grey topological GM(1,1)model and simulated annual runoff volumes before the sudden spot.The mean relative error of simulated results is very low,only 12.06%.and the fitting accuracy is 97.7% in the sudden change interval.Ultimately,using the observations of annual runoff data of 1987 to 2006 establishes another grey topological GM(1,1)model to predict runoff volume in coming years,the results shows that the increase trend of the Aksu annual runoff volume is not obvious in the next five years. |
| Keywords: | trend analysis gray topological predicting annual runoff volume wavelet analysis Aksu River |
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