| 无定河年径流量变化特征及人为驱动力分析 |
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| 引用本文： | 杨新,延军平,刘宝元.无定河年径流量变化特征及人为驱动力分析[J].地球科学进展,2005,20(6):637-642. |
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| 作者姓名： | 杨新 延军平 刘宝元 |
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| 作者单位： | 北京师范大学地理学与遥感科学学院,北京师范大学环境演变与自然灾害教育部重点实验室,北京,100875;陕西省气象科技创新基地,陕西,西安,710015;陕西师范大学旅游与环境学院,陕西,西安,710062;北京师范大学地理学与遥感科学学院,北京师范大学环境演变与自然灾害教育部重点实验室,北京,100875 |
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| 摘 要： | 分析无定河年径流量1956—2000年时间序列变化特征及其对气候因子的敏感程度，以径流突变前的数据建立预测模型；对比分析径流量的实测值与模型输出值，其差值即人为影响程度。结果表明无定河年径流总量显著减少，径流量演变以1971年为突变点分为前后2个阶段；人为因素驱动力占总驱动力的份量显著上升，1997年达到最大值，为56.9％。可以认为在全球变化的气候背景下，人类活动因子是无定河径流演变的主要驱动因子。
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| 关 键 词： | 年径流量 多元线性回归模型 驱动力 无定河 |
| 文章编号： | 1001-8166(2005)06-0637-06 |
| 收稿时间： | 2004-02-23 |
| 修稿时间： | 2004年2月23日 |
THE ANALYSIS ON THE CHANGE CHARACTERISTICS AND DRIVING FORCES OF WUDINGHE RIVER RUNOFF |
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| YANG Xin,YAN Jun-ping,LIU Bao-yuan.THE ANALYSIS ON THE CHANGE CHARACTERISTICS AND DRIVING FORCES OF WUDINGHE RIVER RUNOFF[J].Advance in Earth Sciences,2005,20(6):637-642. |
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| Authors: | YANG Xin YAN Jun-ping LIU Bao-yuan |
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| Institution: | 1.College of Geography and Remote Sense Science, Beijing Normal University, Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing 100875, China;
2. Meteorological Institute of Shaaxi Province, Xi'an 710015,China;
3. Shaan'xi Normal University, College of Tourism and Environmental Sciences, Xi'an 710062,China |
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| Abstract: | In this paper, the characteristics of annual runoff data of Wudinghe river in the year of 1956～2000 are the sensitive degree of influence from climate factors in the drainage area are analyzed. Based on the datum before abrupt change of annual runoff, the plural linear regression model for annual runoff is set up. The difference between the value derived by the function and the true value is the influence resulted by human activity.
The analysis shows that the annual runoff of Wudinghe river decreased evidently, and the runoff changed abruptly in 1971. The influence resulted by human activity is increasing year by year. And in the year of 1997, human influence on river runoff reached maximum, with its value being 56.9%. So the conclusion is reached that in the climate background of global warming the driving force of the change in annual runoff is human activity. |
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| Keywords: | Annual river runoff Plural linear regression model Driving forces Wudinghe river |
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