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陕北黄土高原极端降水对温度变化的响应研究.
- Source :
-
Yellow River . 2022, Vol. 44 Issue 6, p22-33. 7p. - Publication Year :
- 2022
-
Abstract
- With global warming, extreme precipitation events occur frequently, easily causing natural disasters such as landslides and floods. Studying the response relationship between extreme precipitation and changes in dew point and surface temperature can provide a reliable basis for the prediction of future extreme precipitation trends and disaster risk research. Taking the Loess Plateau in northern Shaanxi as the research area, based on the data of six meteorological stations from 1970 to 2017, six extreme precipitation indices were selected, and the temporal and spatial evolution of their extreme precipitation indices were analyzed by linear trend method, moving average method and spatial interpolation method. and the response characteristics of extreme precipitation to changes in dew point and surface temperature, and assess their robustness. The results show that: from 1970 to 2017, the dew point and surface temperature of the Loess Plateau in northern Shaanxi showed a fluctuating upward trend, and the extreme precipitation index in addition to the continuous humidity index showed a slight downward trend. The maximum precipitation in the 5-day and 5-day period both showed an upward trend, and showed the characteristics of "high in the south and low in the north". The response relationship between daily extreme precipitation and dew point temperature showed a monotonically increasing trend, and the response intensity was on a C-C scale, while the response relationship between daily extreme precipitation and surface temperature showed a Hook structure. The C-C scale is in the C-C scale at the other four stations, and the response intensity of the daily extreme precipitation and dew point temperature is smaller than that of the surface temperature. Compared with surface temperature, the response relationship between extreme precipitation and dew point temperature is more robust. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10001379
- Volume :
- 44
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Yellow River
- Publication Type :
- Academic Journal
- Accession number :
- 157424505
- Full Text :
- https://doi.org/10.3969/j.issn.1000-1379.2022.06.005