[1]WANG Fei,HONG Lin,Tuniyazi·Yasen,et al.Spatiotemporal Variations of Air Temperature in Songhua River Basin[J].Research of Soil and Water Conservation,2020,27(01):347-352.
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Spatiotemporal Variations of Air Temperature in Songhua River Basin
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 01
Page number:
347-352
Column:
Public date:
2020-02-20
- Title:
- Spatiotemporal Variations of Air Temperature in Songhua River Basin
- Keywords:
- air temperature; spatiotemporal variation; trend analysis; M-K test; Morlet wavelet analysis; Songhua River Basin
- CLC:
- P467
- DOI:
- -
- Abstract:
- Considering that climate change may bring great changes of regional development, it is of great significance to study the air temperature change over Songhua River basin, which is an important commodity grain base in China. Based on the air temperature data of 35 stations in Songhua River Basin from 1956 to 2015, the trend, variation and periodic characteristics of air temperature are studied through linear trend regression, Mann-Kendall test and Morlet wavelet analysis, respectively. The trend analyses show that during the past 60 years, the air temperature over Songhua River Basin has shown a significant upward trend; the increase of annual mean air temperature is 0.322℃ per decade, while the annual mean maximum and minimum temperatures are 0.190℃ and 0.429℃ per decade, respectively. The spatial variation is analyzed through using GIS tools. The regional air temperature variation chart over Songhua River Basin is drawn by interpolating the increments of each station with inverse distance weighted average method(IDW). The chart shows that the increase ranges of air temperature are not uniform in regional distribution. For areas along the Songhua River and its tributaries, the increase range is much bigger than the other regions. Through the Mann-Kendall test, two sets of order series Sk are constructed by sets of forward and reverse time series, and then two curves are obtained by standard normalizing the order series. The two constructed curves UFk and UBk of these three temperature series intersect at one point which is between 1987 and 1992, and the statistical value of the point is between the upper and lower critical limits of the significance test. So, we can conclude that the air temperature has an abrupt change among this period. With the help of the wavelet analysis tool of MATLAB, the wavelet coefficients are obtained. After calculating the real part and modulus of the wavelet coefficients, the real part contour and modulus of the wavelet coefficients are plotted with Kriging interpolation method. Also, the wavelet variance of air temperature variation is calculated at different time scales to draw the wavelet variance chart. The Morlet wavelet analysis results show that there are three main cycles of temperature change, corresponding cycles are 28-year, 14-year and 7-year, respectively.
- References:
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Last Update:
2020-02-25