[1]Wei Qianqian,Li Yajun,Cai Xia,et al.Analysis of extreme climate events and meteorological disasters in Fenhe River Basin[J].Research of Soil and Water Conservation,2025,32(06):297-306.[doi:10.13869/j.cnki.rswc.2025.06.033]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
32
Number of periods:
2025 06
Page number:
297-306
Column:
Public date:
2025-10-20
- Title:
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Analysis of extreme climate events and meteorological disasters in Fenhe River Basin
- Author(s):
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Wei Qianqian1,Li Yajun1,Cai Xia2,Liu Xin1
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(1.Shanxi Provincial Meteorological Information Center,Taiyuan 030006,China;2.Shuozhou Meteorological Bureau,Shuozhou,Shanxi 036002,China)
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- Keywords:
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climate extreme index; meteorological disaster; rate of change; ANUSPLIN spatial interpolation; Fenhe River Basin
- CLC:
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P467; P429
- DOI:
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10.13869/j.cnki.rswc.2025.06.033
- Abstract:
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[Objective] To investigate the spatiotemporal variation patterns of extreme climate events and their correlations with meteorological disasters in Fenhe River Basin, thereby providing a scientific basis for meteorological disaster prevention and mitigation efforts in the region. [Methods] The software RClimDex(1.0) was used to calculate 9 extreme temperature indices and 8 extreme precipitation indices. The spatiotemporal variation characteristics of these 17 climate extreme indices and meteorological disasters were analyzed, and their correlations were statistically examined. [Results](1) From a temporal perspective, among extreme temperature indices, the extreme value indices as well as warm indices-specifically the number of warm nights and warm days showed a significant increasing trend. In contrast, cold indices, including the number of cold nights, cold days, and cold spell duration, exhibited a significant decreasing trend. For extreme precipitation indices, most showed an upward trend except for duration-related indices. Notably, heavy precipitation amount, very heavy precipitation amount, and daily precipitation intensity demonstrated a significant increase. (2) Spatially, for extreme temperature indices, the regions with high values of extreme value indices, the number of cold days, and warm indices were mostly concentrated in the southwest Yuncheng Basin of the lower reaches, while the regions with high values of cold indices and diurnal temperature range were mainly concentrated in the upper reaches. For extreme precipitation indices, the spatial distribution of the persistence index was opposite, while the continuous wetness index was generally consistent with the distribution of other indices, showing smaller values in the upper and middle reaches and larger values in the lower reaches.(3) The number of stations experiencing droughts in Fenhe River Basin decreased year by year, while the number of stations affected by high-temperature and rainstorm disasters increased year by year. In terms of spatial distribution, there was little difference in the spatial patterns of rainstorms and droughts, while high-temperature disasters were mainly concentrated in the lower reaches of Linyun Basin. The relative indices of extreme maximum temperature, diurnal temperature range, annual precipitation index, maximum one-day precipitation, and extreme precipitation index could respectively reflect the situations of high-temperature, drought, and rainstorm meteorological disasters within the basin. [Conclusion] The climate extreme indices and meteorological disasters in Fenhe River Basin show significant spatiotemporal differences, and some indices have certain indicative significance for the occurrence of meteorological disasters within the basin.