An integrated statistical approach to identify the nonlinear trend of runoff in the Hotan River and its relation with climatic factors

被引:29
|
作者
Xu, Jianhua [1 ]
Chen, Yaning [2 ]
Li, Weihong [2 ]
Yang, Yang [1 ]
Hong, Yulian [1 ]
机构
[1] E China Normal Univ, Sch Resources & Environm Sci, Res Ctr EW Cooperat China, Shanghai 200062, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Key Lab Oasis Ecol & Desert Environm, Urumqi 830011, Xinjiang, Peoples R China
关键词
Runoff; Climatic factor; Nonlinear trend; Correlation; Wavelet approximation; Wavelet regression analysis; The Hotan River; Northwest China; DISCRETE WAVELET TRANSFORM; TARIM RIVER; SURFACE-TEMPERATURE; WATER-RESOURCES; CHINA; BASIN; PRECIPITATION; IMPACT; HEADWATERS; XINJIANG;
D O I
10.1007/s00477-010-0433-9
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A number of studies have indicated a transition from warm-dry to warm-wet climate in Northwest China after the 1980s. This transition was characterized by an increase in temperature and precipitation, added river runoff volume, increased lake water surface elevation and area, and elevated groundwater table. However, some literatures showed that the Hotan River has presented a contrary situation, i.e. the runoff decreased, whereas temperature and precipitation increased. In order to discover the nonlinear runoff trend and its causes in the Hotan River, based on the related data from hydrological stations, ground and air sounding meteorological stations, this study applied a comprehensive method combing correlation analysis, wavelet analysis and regression analysis to investigate the runoff change in the Hotan River with its relevant climatic factors over the past decades. The main findings are: (a) the hydrological process of the Hotan River is a nonlinear system, with a periodicity of 24 year cycle, and it shows different nonlinear trends at different time scales; (b) the data from the ground meteorological stations in the Hotan area shows a false appearance that there is almost no correlation between runoff and temperature, and a little negative correlation between runoff and precipitation; (c) but the data from air sounding meteorological stations shows the truth that there is a close relation between the runoff in the Hotan River and the 0A degrees C level height in summer on the north slope of Kunlun Mountains. The two variables present a same periodicity, i.e. 24-year cycle, having similar nonlinear trends and significant correlations at different time scales.
引用
收藏
页码:223 / 233
页数:11
相关论文
共 7 条
  • [1] An integrated statistical approach to identify the nonlinear trend of runoff in the Hotan River and its relation with climatic factors
    Jianhua Xu
    Yaning Chen
    Weihong Li
    Yang Yang
    Yulian Hong
    [J]. Stochastic Environmental Research and Risk Assessment, 2011, 25 : 223 - 233
  • [2] The Nonlinear trend of runoff and its response to climate change in the Aksu River, western China
    Xu, Jianhua
    Chen, Yaning
    Lu, Feng
    Li, Weihong
    Zhang, Lijun
    Hong, Yulian
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2011, 31 (05) : 687 - 695
  • [3] Hotspot and trend analysis of forest fires and its relation to climatic factors in the western Himalayas
    Sunil Kumar
    Amit Kumar
    [J]. Natural Hazards, 2022, 114 : 3529 - 3544
  • [4] Hotspot and trend analysis of forest fires and its relation to climatic factors in the western Himalayas
    Kumar, Sunil
    Kumar, Amit
    [J]. NATURAL HAZARDS, 2022, 114 (03) : 3529 - 3544
  • [5] Changes in Vegetation Index and Its Relation with Climatic Factors in Three-River Headwater Region
    Li Zhifu
    Jia Weihua
    [J]. INTERNATIONAL RESEARCH CONFERENCE OF RESOURCES UTILIZATION AND ENVIRONMENTAL EFFECTIVENESS: CALL OF PAPER FROM 2009 AGM, 2009, : 45 - +
  • [7] An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis
    Zhou, Lei
    Wang, Siyu
    Du, Mingyi
    Yang, Jianhua
    Zhu, Yinuo
    Wu, Jianjun
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (06)