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    Temporal and Spatial Distribution Characteristics of Rainstorm in China Based on CMORPH Integrated Precipitation by ZHAO Zixi, CHEN Zhihe

    Published 2020-01-01
    “…Based on the data set of China automatic station and CMORPH precipitation product fusion grid,this paper analyzes the spatial-temporal distribution characteristics and change trend of rainstorm number and rainstorm amount in 2008—2016 in China by the methods of rainfall object identification and Theil-Sen estimator.The research shows that there are 24 676 rainstorms in 2008—2016,including 20 135 small rainstorms,4 230 heavy rainstorms and 311 extremely heavy rainstorms.The rainstorm events in the whole year are at most in 2012 and at least in 2011with only 42,which occur frequently from May to September,accounting for 80.8% of the whole year.In 2010,2012 and 2014,the rainstorms in the coastal areas of South China and North China accounted for a relatively high proportion,some of which reached more than 60%.In 2008,2013 and 2016,the rainstorms in the coastal areas of South China and Hubei accounted for a relatively high proportion.From May to September,the rainstorm in China is widely distributed with large amount,mainly in the Pearl River Estuary,Northeast Jiangxi,and coastal areas of Hainan,Taiwan,Zhejiang and Fujian,with an annual average monthly rainstorm of about 150 mm.The number and amount of rainstorms are decreasing from the southeast coast to the northwest inland,with high value areas mainly in South China and the middle and lower reaches of the Yangtze River.The distribution of small rainstorms is similar to that of the total rainstorms.The heavy rainstorms are mainly concentrated in the coastal areas of Guangdong and Guangxi,the eastern Hainan and the southern Taiwan.Extremely heavy rainstorms are scattered in Southeast China.In the past 9 years,the number of rainstorms has increased,especially in South China and the middle and lower reaches of the Yangtze River,with significantly increased amount.…”
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    Analysis on Characteristics of Spatial-temporal Precipitation Distribution in Qingyuan Based on Cloud Model by WANG Yan

    Published 2021-01-01
    “…Based on the traditional Mann-Kendall method,this paper analyzes the spatial-temporal precipitation distribution by the cloud model according to the monthly precipitation data (1990—2020) from 38 stations in Qingyuan City,Guangdong province.The results show that:①In the last 30 years,the precipitation in Qingyuan showed an upward trend in the whole year,flood season and non-flood season,especially in the whole year and flood season.②The stability of precipitation was best in non-flood season,less in whole year,and the worst in flood season.The distribution of precipitation was the most discrete throughout the year,followed by flood season,and more concentrated in non-flood season.③The precipitation showed similar spatial distribution in whole year and flood season,increased from northwest to southeast in general,among them the precipitation in Lianzhou City is small,concentrated and stable.In non-flood season,the distribution of precipitation increased from southeast to northwest,among them the precipitation in the south of Qingcheng District is the least and unstable but concentrated;while that in the northeast of Yingde City is large and stable but not concentrated.…”
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