Cite this article: | 姜雨彤,郭宁,马勇星,等.1960-2016年陕西省极端气温的时空变化研究[J].灌溉排水学报,0,():-. |
| jiangyutong,guoning,mayongxing,et al.1960-2016年陕西省极端气温的时空变化研究[J].灌溉排水学报,0,():-. |
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DOI: |
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Extreme Temperature Events in Shannxi Province from 1960 to 2016 |
jiangyutong, guoning, mayongxing, wurong, zhangxin
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Northwest A and F University, College of Water Resources and Architectural Engineering
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Abstract: |
【Objective】The objective is to study the temporal and spatial variation law of extreme temperature events in shaanxi province, and to provide reference for disaster prevention and mitigation and climate change response in shaanxi province.【Method】Some experiment were conducted according to the daily temperature data of 36 meteorological stations in shaanxi province from 1960 to 2016, 16 extreme temperature indexes were calculated and analyzed by linear tendency method, M-K mutation test method and wavelet analysis method.【Results】The results showed that 1) the extreme cold index showed a downward trend in time, while the extreme warm index showed a reverse trend; In the past 60 years, 10 indexes changed suddenly and were concentrated from 1985 to 2005. The extreme cold index changed from relatively multi-phase transition to relatively low-phase transition, while the extreme warm index was reversed. The average temperature of each quarter is 11a, 16a and 29a, with 29a as the main period (except 9 years in winter); 2) the spatial cold index shows a downward trend in most areas such as jingbian, while the warm index shows an upward trend in most areas such as jing river, while other indexes show different trends in northern shaanxi, central shaanxi and southern shaanxi; 3) there is a certain relationship between extreme temperature and global warming and urbanization, but the response to latitude is not significant. 【Conclusion】To sum up, it can be seen that in the past 60 years, the extreme temperature in shaanxi province has been significantly manifested in cycles and mutations, to which global warming and urbanization construction have contributed, but the spatial change of latitude and extreme temperature has little correlation. |
Key words: Extreme temperatures; Spatiotemporal change; Trend analysis; M-k mutation test; Wavelet analysis; Shaanxi province; |
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