[1]YIN Mingli,XU Huajun,ZHAO Guoyong,et al.Characteristics of Extreme Temperature Events in Heilongjiang Province in the Period 1961-2016[J].Research of Soil and Water Conservation,2020,27(02):238-245.
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Characteristics of Extreme Temperature Events in Heilongjiang Province in the Period 1961-2016
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 02
Page number:
238-245
Column:
Public date:
2020-03-30
- Title:
- Characteristics of Extreme Temperature Events in Heilongjiang Province in the Period 1961-2016
- Keywords:
- Heilongjiang Province; extreme temperature; mutation
- CLC:
- P467
- DOI:
- -
- Abstract:
- In order to analyze the response of Heilongjiang Province to global warming, the variation characteristics of 16 extreme temperature indexes of 27 meteorological stations in Heilongjiang Province from 1961 to 2016 were analyzed by employing Mann-Kendall test, Morlet complex wavelet analysis and inverse distance weighted interpolation. The results showed that:(1)the extreme temperature index in Heilongjiang Province presented the significant warming trend in recent 56 years, and the index related to the daily minimum temperature showed the most significant warming trend(TN10p, FD0 and TN90p); in terms of space, the extreme temperature indexes of 27 stations in Heilongjiang Province showed the warming trend in recent 56 years, indicating that the extreme temperature indexes of Heilongjiang Province showed a warming trend in time and space, among them, the most significant warming trend was found in Mohe City, Sunwu County and other places;(2)most indices showed the sudden warming in the mid-to-late 1980s and mid-1990s;(3)the mean value of the daily lowest temperature varied in four scales: 5～6 years, 8～10 years, 13～15 years and 18～25 years, among which the main period is 20 years. The mean value of the daily maximum temperature was about 4～8 years, 13～18 years and 25～30 years, and experienced 7 cycles of high-low-high-low pattern, indicating that the mean value of the daily maximum temperature continued to increase in the future 2～3 years;(4)the correlation between the relative index and latitude was generally high; the correlation between absolute index and other index and latitude was not obvious; in the extreme value index, TXx had a higher correlation with latitude; the correlations between all the indices and longitude or altitude was not significant.
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Last Update:
2020-02-25