Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

XU Jianhua; CHEN Yaning; JI Minhe; LU Feng

doi:10.1007/s11769-008-0331-y

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

XU Jianhua, CHEN Yaning, JI Minhe, LU Feng

文章导航 > Chinese Geographical Science > 2008 > 18(4): 331-339

XU Jianhua, CHEN Yaning, JI Minhe, LU Feng. Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis[J]. 中国地理科学, 2008, 18(4): 331-339. doi: 10.1007/s11769-008-0331-y

引用本文:

XU Jianhua, CHEN Yaning, JI Minhe, LU Feng. Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis[J]. Chinese Geographical Science, 2008, 18(4): 331-339. doi: 10.1007/s11769-008-0331-y

Citation:

XU Jianhua, CHEN Yaning, JI Minhe, LU Feng. Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis[J]. Chinese Geographical Science, 2008, 18(4): 331-339. doi: 10.1007/s11769-008-0331-y

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

doi: 10.1007/s11769-008-0331-y

1.
Key Laboratory of Geographic Information Science, Ministry of Education, Shanghai 200062, China; The Research Center for East-West Cooperation in China, East China Normal University, Shanghai 200062, China;
2.
The Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

基金项目: Under the auspices of Second-stage Knowledge Innovation Program of Chinese Academy of Sciences (No. KZCX2-XB2-03);the major direction of Knowledge Innovation Program of Chinese Academy of Sciences (No. KZCX2-YW-127);Shanghai Academic Discipline Project (Human Geography) (No. B410)

详细信息

通讯作者:
XU Jianhua. E-mail: jhxu@geo.ecnu.edu.cn

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

1.
Key Laboratory of Geographic Information Science, Ministry of Education, Shanghai 200062, China; The Research Center for East-West Cooperation in China, East China Normal University, Shanghai 200062, China;
2.
The Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

摘要: This paper applied an integrated method combining grey relation analysis, wavelet analysis and statistical analysis to study climate change and its effects on runoff of the Kaidu River at multi-time scales. Major findings are as follows: 1) Climatic factors were ranked in the order of importance to annual runoff as average annual temperature, average temperature in autumn, average temperature in winter, annual precipitation, precipitation in flood season, average temperature in summer, and average temperature in spring. The average annual temperature and annual precipitation were selected as the two representative factors that impact the annual runoff. 2) From the 32-year time scale, the annual runoff and the average annual temperature presented a significantly rising trend, whereas the annual precipitation showed little increase over the period of 1957–2002. By changing the time scale from 32-year to 4-year, we observed nonlinear trends with increasingly obvious oscillations for annual runoff, average annual temperature, and annual precipitation. 3) The changes of the runoff and the regional climate are closely related, indicating that the runoff change is the result of the regional climate changes. With time scales ranging from 32-year, 16-year, 8-year and to 4-year, there are highly significant linear correlations between the annual runoff and the average annual temperature and the annual precipitation.
- runoff /
- temperature /
- precipitation /
- nonlinear trend /
- time scale /
- Kaidu River
Abstract: This paper applied an integrated method combining grey relation analysis, wavelet analysis and statistical analysis to study climate change and its effects on runoff of the Kaidu River at multi-time scales. Major findings are as follows: 1) Climatic factors were ranked in the order of importance to annual runoff as average annual temperature, average temperature in autumn, average temperature in winter, annual precipitation, precipitation in flood season, average temperature in summer, and average temperature in spring. The average annual temperature and annual precipitation were selected as the two representative factors that impact the annual runoff. 2) From the 32-year time scale, the annual runoff and the average annual temperature presented a significantly rising trend, whereas the annual precipitation showed little increase over the period of 1957–2002. By changing the time scale from 32-year to 4-year, we observed nonlinear trends with increasingly obvious oscillations for annual runoff, average annual temperature, and annual precipitation. 3) The changes of the runoff and the regional climate are closely related, indicating that the runoff change is the result of the regional climate changes. With time scales ranging from 32-year, 16-year, 8-year and to 4-year, there are highly significant linear correlations between the annual runoff and the average annual temperature and the annual precipitation.
- runoff /
- temperature /
- precipitation /
- nonlinear trend /
- time scale /
- Kaidu River

[1]	Yufei HUANG, Chunyan LU, Yifan LEI, Yue SU, Yanlin SU, Zili WANG. Spatio-temporal Variations of Temperature and Precipitation During 1951–2019 in Arid and Semiarid Region, China . Chinese Geographical Science, 2022, 32(2): 285-301. doi: 10.1007/s11769-022-1262-8
[2]	HE Binbin, SHENG Yu, CAO Wei, WU Jichun. Characteristics of Climate Change in Northern Xinjiang in 1961-2017, China . Chinese Geographical Science, 2020, 30(2): 249-265. doi: 10.1007/s11769-020-1104-5
[3]	LI Yungang, ZHANG Yueyuan, HE Daming, LUO Xian, JI Xuan. Spatial Downscaling of the Tropical Rainfall Measuring Mission Pre-cipitation Using Geographically Weighted Regression Kriging over the Lancang River Basin, China . Chinese Geographical Science, 2019, 20(3): 446-462. doi: 10.1007/s11769-019-1033-3
[4]	CAO Yingqiu, XU Li, ZHANG Zhen, CHEN Zhi, HE Nianpeng. Soil Microbial Metabolic Quotient in Inner Mongolian Grasslands: Patterns and Influence Factors . Chinese Geographical Science, 2019, 29(6): 1001-1010. doi: 10.1007/s11769-019-1084-5
[5]	XIAO Peiqing, YAO Wenyi, SHEN Zhenzhou, YANG Chunxia, LYU Xizhi, JIAO Peng. Effects of Shrub on Runoff and Soil Loss at Loess Slopes Under Simulated Rainfall . Chinese Geographical Science, 2017, 27(4): 589-599. doi: 10.1007/s11769-017-0889-3
[6]	WANG Jinhua, LI Zhanbin, YAO Wenyi, DONG Guotao. Influence of Vegetation on Runoff and Sediment in Wind-water Erosion Crisscross Region in the Upper Yellow River of China . Chinese Geographical Science, 2017, 27(4): 569-576. doi: 10.1007/s11769-016-0829-7
[7]	WU Jinkui, DING Yongjian, YE Baisheng, YANG Qiyue, HOU Dianjiong, XUE Liyang. Stable Isotopes in Precipitation in Xilin River Basin, Northern China and Their Implications . Chinese Geographical Science, 2012, 22(5): 531-540.
[8]	NING Baoying, YANG Xiaomei, CHANG Li. Changes of Temperature and Precipitation Extremes in Hengduan Mountains, Qinghai-Tibet Plateau in 1961–2008 . Chinese Geographical Science, 2012, 22(4): 422-436.
[9]	JIANG Dejuan LI Zhi WANG Qiuxian. Trends in temperature and precipitation extremes over Circum-Bohai-Sea region during 1961-2008 . Chinese Geographical Science, 2012, 22(1): 75-87.
[10]	LI Hongyan, WANG Yuxin, LI Xiubin. Mechanism and Forecasting Methods for Severe Droughts and Floods in Songhua River Basin in China . Chinese Geographical Science, 2011, 21(5): 531-.
[11]	XU Jianhua, CHEN Yaning, LI Weihong, JI Minhe, DONG Shan, HONG Yulian. Wavelet Analysis and Nonparametric Test for Climate Change in Tarim River Basin of Xinjiang During 1959-2006 . Chinese Geographical Science, 2009, 19(4): 306-313. doi: 10.1007/s11769-009-0306-7
[12]	LU Xiaoning, DENG Wei, ZHANG Shuqing. Multiple Time-scale Characteristics of Runoff Variations in Middle Reaches of Huolin River and Their Effects . Chinese Geographical Science, 2007, 17(2): 143-150. doi: 10.1007/s11769-007-0143-5
[13]	CHEN Liqun, LIU Changming, LI Yanping, WANG Guoqiang. Impacts of Climatic Factors on Runoff Coefficients in Source Regions of the Huanghe River . Chinese Geographical Science, 2007, 17(1): 47-55. doi: 10.1007/s11769-007-0047-4
[14]	YAN Min-hua, DENG Wei, CHEN Pan-qin. RECENT TRENDS OF TEMPERATURE AND PRECIPITATION DISTURBED BY LARGE-SCALE RECLAMATION IN THE SANGJIANG PLAIN OF CHINA . Chinese Geographical Science, 2003, 13(4): 317-321.
[15]	王学全, 高前兆. THE PRECIPITATION INFILTRATION AND RUNOFF RECHARGING EXPERIMENT OBSERVATION IN THE TAKLIMAKAN DESERT . Chinese Geographical Science, 1999, 9(3): 284-288.
[16]	方精云, 刘绍辉, 赵坤. FACTORS AFFECTING SOIL RESPIRATION IN REFERENCE WITH TEMPERATURE'S ROLE IN THE GLOBAL SCALE . Chinese Geographical Science, 1998, 8(3): 246-255.
[17]	叶佰生, 陈克恭. A MODEL SIMULATING THE PROCESSES IN RESPONSES OF GLACIER AND RUNOFF TO CLIMATIC CHANGE─A Case Study of Glacier No. 1 in the ürümqi River, China . Chinese Geographical Science, 1997, 7(3): 243-250.
[18]	章新平. VARIATION OF d δ¹⁸O/dT IN PRECIPITATION IN THE QINGHAI-XIZANG PLATEAU . Chinese Geographical Science, 1997, 7(4): 328-338.
[19]	章新平, 施雅风, 姚檀栋. RELATION BETWEEN δ¹⁸O IN ATMOSPHERIC PRECIPITATION AND TEMPERATURE AND PRECIPITATION . Chinese Geographical Science, 1995, 5(4): 289-299.
[20]	杨远东. AN ANALYSIS OF THREE ELEMENTS OF WATER BALANCE IN THE CHANGJIANG RIVER BASIN . Chinese Geographical Science, 1991, 1(3): 197-211.

点击查看大图

计量

文章访问数: 977
HTML全文浏览量: 5
PDF下载量: 1286
被引次数: 0

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

doi: 10.1007/s11769-008-0331-y

1. Key Laboratory of Geographic Information Science, Ministry of Education, Shanghai 200062, China; The Research Center for East-West Cooperation in China, East China Normal University, Shanghai 200062, China;

2. The Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

通讯作者: XU Jianhua. E-mail: jhxu@geo.ecnu.edu.cn

收稿日期: 2008-05-04
修回日期: 2008-09-27
刊出日期: 2008-12-20

关键词:

runoff /

temperature /

precipitation /

nonlinear trend /

time scale /

Kaidu River

摘要: This paper applied an integrated method combining grey relation analysis, wavelet analysis and statistical analysis to study climate change and its effects on runoff of the Kaidu River at multi-time scales. Major findings are as follows: 1) Climatic factors were ranked in the order of importance to annual runoff as average annual temperature, average temperature in autumn, average temperature in winter, annual precipitation, precipitation in flood season, average temperature in summer, and average temperature in spring. The average annual temperature and annual precipitation were selected as the two representative factors that impact the annual runoff. 2) From the 32-year time scale, the annual runoff and the average annual temperature presented a significantly rising trend, whereas the annual precipitation showed little increase over the period of 1957–2002. By changing the time scale from 32-year to 4-year, we observed nonlinear trends with increasingly obvious oscillations for annual runoff, average annual temperature, and annual precipitation. 3) The changes of the runoff and the regional climate are closely related, indicating that the runoff change is the result of the regional climate changes. With time scales ranging from 32-year, 16-year, 8-year and to 4-year, there are highly significant linear correlations between the annual runoff and the average annual temperature and the annual precipitation.

English Abstract

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

1. Key Laboratory of Geographic Information Science, Ministry of Education, Shanghai 200062, China; The Research Center for East-West Cooperation in China, East China Normal University, Shanghai 200062, China;

2. The Key Laboratory of Oasis Ecology and Desert Environment, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China

Received Date: 2008-05-04
Rev Recd Date: 2008-09-27
Publish Date: 2008-12-20

Keywords:

Abstract: This paper applied an integrated method combining grey relation analysis, wavelet analysis and statistical analysis to study climate change and its effects on runoff of the Kaidu River at multi-time scales. Major findings are as follows: 1) Climatic factors were ranked in the order of importance to annual runoff as average annual temperature, average temperature in autumn, average temperature in winter, annual precipitation, precipitation in flood season, average temperature in summer, and average temperature in spring. The average annual temperature and annual precipitation were selected as the two representative factors that impact the annual runoff. 2) From the 32-year time scale, the annual runoff and the average annual temperature presented a significantly rising trend, whereas the annual precipitation showed little increase over the period of 1957–2002. By changing the time scale from 32-year to 4-year, we observed nonlinear trends with increasingly obvious oscillations for annual runoff, average annual temperature, and annual precipitation. 3) The changes of the runoff and the regional climate are closely related, indicating that the runoff change is the result of the regional climate changes. With time scales ranging from 32-year, 16-year, 8-year and to 4-year, there are highly significant linear correlations between the annual runoff and the average annual temperature and the annual precipitation.

引用本文:

Citation:

全文HTML

下载: 全尺寸图片幻灯片

返回文章

用微信扫码二维码

分享至好友和朋友圈

留言板

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

doi: 10.1007/s11769-008-0331-y

通讯作者: XU Jianhua. E-mail: jhxu@geo.ecnu.edu.cn

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

计量

出版历程

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

doi: 10.1007/s11769-008-0331-y

通讯作者: XU Jianhua. E-mail: jhxu@geo.ecnu.edu.cn

English Abstract

Climate Change and Its Effects on Runoff of Kaidu River, Xinjiang, China:A Multiple Time-scale Analysis

全文HTML

目录

通讯作者:
XU Jianhua. E-mail: jhxu@geo.ecnu.edu.cn