[1]SHI Wenyu,LI Zengyong,LI Na,et al.Temporal and Spatial Characteristics of Distribution of Temperature in Chinsha River Basin from 1957 to 2016[J].Research of Soil and Water Conservation,2019,26(01):162-167.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
26
Number of periods:
2019 01
Page number:
162-167
Column:
Public date:
2019-02-28
- Title:
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Temporal and Spatial Characteristics of Distribution of Temperature in Chinsha River Basin from 1957 to 2016
- Author(s):
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SHI Wenyu, LI Zengyong, LI Na, PAN Ni
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Sichuan Water Conservancy Vocational College, Chendu 611231, China
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- Keywords:
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Chinsha River Basin; temperature; tread variations; period; temporal and spatial distribution
- CLC:
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P467
- DOI:
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- Abstract:
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The average temperatures of the 39 meteorological stations were used to analyze the temporal and spatial distribution characteristics in Chinsha River Basin from 1957 to 2016 by employing the cumulative anomaly method, the Mann-Kendall method, the Kriging and the wavelet analysis method. The results indicated that the annual and the seasonal temperatures had an upward trend, and all showed a significant increase trend; the maximum values of interdecadal annual and seasonal mean temperature anomaly in the Chinsha River Basin occurred during the period of 2010-2016, and the minimum values of spring appeared in 1980s, while the minimum values of summer, autumn and winter occurred in 1970s; there were many multiple time-scale features of annual and seasonal mean temperature in the basin, with the principal periods of about 6, 21 and 28 years, and the phase change of 28 years period was the most obvious; the mean temperature gradually increased with the altitude from the upstream to downstream of the basin, of which the Wudaoliang station temperature was the lowest, while the Yuanmou station temperature was the highest; except for the summer, the mean annual temperature and the average temperature of the rest seasons of more than 87% of 39 meteorological stations presented the significant increase trend.