Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province
【Objective】 Shuozhou, located North of Shanxi province, has been significantly influenced by climate change. Since temperature is one of the most important factors influencing plant growth and evaporation of surface water and subsurface water, this paper analyses its spatiotemporal variation in this...
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Science Press
2024-12-01
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| Series: | Guan'gai paishui xuebao |
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| Online Access: | https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241210&flag=1 |
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| _version_ | 1846110572459851776 |
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| author | LI Rui LI Yufu LUO Huanmei |
| author_facet | LI Rui LI Yufu LUO Huanmei |
| author_sort | LI Rui |
| collection | DOAJ |
| description | 【Objective】 Shuozhou, located North of Shanxi province, has been significantly influenced by climate change. Since temperature is one of the most important factors influencing plant growth and evaporation of surface water and subsurface water, this paper analyses its spatiotemporal variation in this region. 【Method】 Using air temperature data measured from 1972 to 2023 at weather stations in six counties, districts, and cities in the region, we calculated both mean and extreme temperatures using statistical method, linear analysis, moving average method, Mann-Kendall test, and Morlet wavelet analysis. 【Result】 ① From 1972 to 2023, the average temperature, annual mean maximum temperature, and annual mean minimum temperature exhibited significant upward trends, increasing at rates of 0.4 ℃/decade, 0.39 ℃/decade and 0.53 ℃/decade, respectively. Nighttime temperature increases contributed most to this warming trend; daily average temperature had been decreasing. The warming trend was most pronounced in spring and winter; temperature increases were more significant from 1991 to 2020 than in other years. ② Extreme annual maximum and minimum temperatures did not show significant increases, with a change in 0.26 ℃/decade and 0.08 ℃/decade respectively. ③ Extreme maximum temperatures occurred mainly from late May to early August, peaking in late July. Extreme minimum temperatures typically appeared from late December to early February, with the highest frequency in January. ④ A marked temperature shift occurred in 1997, with a significant warming trend after 1998. Cold winters were more common before the 1990s, while warmer winters predominated after the 20th century. ⑤ Both mean and extreme temperatures in showed significant oscillations with periods of 2 to 4 years. 【Conclusion】 Our results could help improve irrigation and drainage management under the influence of climate change. |
| format | Article |
| id | doaj-art-dc7a4cee2a0e435e97f3a6237e706d4d |
| institution | Kabale University |
| issn | 1672-3317 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Science Press |
| record_format | Article |
| series | Guan'gai paishui xuebao |
| spelling | doaj-art-dc7a4cee2a0e435e97f3a6237e706d4d2024-12-24T02:01:26ZzhoScience PressGuan'gai paishui xuebao1672-33172024-12-014312849610.13522/j.cnki.ggps.20241661672-3317（2024）12-0084-13Spatiotemporal variation in air temperature in Shuozhou of Shanxi ProvinceLI Rui0LI Yufu1LUO Huanmei2Shuozhou Meteorological Bureau, Shuozhou 036002, ChinaJincheng Meteorological Bureau, Jincheng 048026, ChinaShuocheng Meteorological Bureau, Shuozhou 036002, China【Objective】 Shuozhou, located North of Shanxi province, has been significantly influenced by climate change. Since temperature is one of the most important factors influencing plant growth and evaporation of surface water and subsurface water, this paper analyses its spatiotemporal variation in this region. 【Method】 Using air temperature data measured from 1972 to 2023 at weather stations in six counties, districts, and cities in the region, we calculated both mean and extreme temperatures using statistical method, linear analysis, moving average method, Mann-Kendall test, and Morlet wavelet analysis. 【Result】 ① From 1972 to 2023, the average temperature, annual mean maximum temperature, and annual mean minimum temperature exhibited significant upward trends, increasing at rates of 0.4 ℃/decade, 0.39 ℃/decade and 0.53 ℃/decade, respectively. Nighttime temperature increases contributed most to this warming trend; daily average temperature had been decreasing. The warming trend was most pronounced in spring and winter; temperature increases were more significant from 1991 to 2020 than in other years. ② Extreme annual maximum and minimum temperatures did not show significant increases, with a change in 0.26 ℃/decade and 0.08 ℃/decade respectively. ③ Extreme maximum temperatures occurred mainly from late May to early August, peaking in late July. Extreme minimum temperatures typically appeared from late December to early February, with the highest frequency in January. ④ A marked temperature shift occurred in 1997, with a significant warming trend after 1998. Cold winters were more common before the 1990s, while warmer winters predominated after the 20th century. ⑤ Both mean and extreme temperatures in showed significant oscillations with periods of 2 to 4 years. 【Conclusion】 Our results could help improve irrigation and drainage management under the influence of climate change.https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241210&flag=1shuozhou citytemperature change characteristicslinear tendency estimation methodm-k mutation analysisrate of warming |
| spellingShingle | LI Rui LI Yufu LUO Huanmei Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province Guan'gai paishui xuebao shuozhou city temperature change characteristics linear tendency estimation method m-k mutation analysis rate of warming |
| title | Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province |
| title_full | Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province |
| title_fullStr | Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province |
| title_full_unstemmed | Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province |
| title_short | Spatiotemporal variation in air temperature in Shuozhou of Shanxi Province |
| title_sort | spatiotemporal variation in air temperature in shuozhou of shanxi province |
| topic | shuozhou city temperature change characteristics linear tendency estimation method m-k mutation analysis rate of warming |
| url | https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241210&flag=1 |
| work_keys_str_mv | AT lirui spatiotemporalvariationinairtemperatureinshuozhouofshanxiprovince AT liyufu spatiotemporalvariationinairtemperatureinshuozhouofshanxiprovince AT luohuanmei spatiotemporalvariationinairtemperatureinshuozhouofshanxiprovince |