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DOI | 10.2166/wcc.2018.111 |
Analysis of temporal and spatial variations in hydrometeorological elements in the Yarkant River Basin, China | |
Wei R.-J.; Peng L.; Liang C.; Haemmig C.; Huss M.; Mu Z.-X.; He Y. | |
发表日期 | 2019 |
ISSN | 20402244 |
起始页码 | 167 |
结束页码 | 180 |
卷号 | 10期号:1 |
英文摘要 | Yarkant River is a tributary of TarimRiver in China, and the basin lacks observational data. To investigate past climatic variations and predict future climate changes, precipitation, air temperature and runoff data from Kaqun hydrological station are analysed at monthly and seasonal scales using detrended fluctuation analysis (DFA). Results show that DFA scaling exponents of monthly precipitation, air temperature and runoff are 0.535, 0.662 and 0.582, respectively. These three factors all show long-range correlations. Their increasing trends will continue in the near future as the climate shifts towards warmer and more humid. Spring and winter precipitation exhibit long-range correlations and will increase in the future. In contrast, summer and autumn precipitation exhibits random fluctuations and does not show stable trends. Air temperature during all seasons exhibits long-range correlations and will continue to increase in the future. Runoff during the spring and summer exhibits weak antipersistence, but autumn and winter runoff show long-range correlations and increasing trends. The vertical distribution of precipitation was first analysed using observed data and climate reanalysis data. It indicates that precipitation increases with elevations below 2,000 m a.s.l. at a rate of 26 mm per 100 m and decreases with elevations above 2,000 m a.s.l. © 2019 The Authors. |
英文关键词 | Air temperature; Detrended fluctuation analysis; Precipitation; Runoff; Spatial distribution; Yarkant river basin |
语种 | 英语 |
scopus关键词 | Atmospheric temperature; Climate change; Precipitation (chemical); Rivers; Spatial distribution; Watersheds; Air temperature; Autumn precipitation; Detrended fluctuation analysis; Long range correlations; River basins; Temporal and spatial variation; Vertical distributions; Winter precipitation; Runoff; air temperature; climate change; hydrometeorology; precipitation assessment; rainfall-runoff modeling; river basin; runoff; spatial distribution; spatial variation; temporal variation; weather forecasting; China; Xinjiang Uygur; Yarkant River |
来源期刊 | Journal of Water and Climate Change
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/157036 |
作者单位 | State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, 610065, China; Sichuan Water Conservancy Vocational College, Chengdu, 611200, China; College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China; GEOTEST AG, Zollikofen, 3052, Switzerland; Department of Geosciences, University of Fribourg, Fribourg, 1001, Switzerland; Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zurich, Zurich, 8046, Switzerland |
推荐引用方式 GB/T 7714 | Wei R.-J.,Peng L.,Liang C.,et al. Analysis of temporal and spatial variations in hydrometeorological elements in the Yarkant River Basin, China[J],2019,10(1). |
APA | Wei R.-J..,Peng L..,Liang C..,Haemmig C..,Huss M..,...&He Y..(2019).Analysis of temporal and spatial variations in hydrometeorological elements in the Yarkant River Basin, China.Journal of Water and Climate Change,10(1). |
MLA | Wei R.-J.,et al."Analysis of temporal and spatial variations in hydrometeorological elements in the Yarkant River Basin, China".Journal of Water and Climate Change 10.1(2019). |
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