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| Temporal and spatial distribution characteristics of atmospheric negative oxygen ion concentration changes in Guangxi |
| Li Xun1, Wei Jianjun2, Su Yubin1, Li Zhuoyin1, Wang Linyu1, Luo Yanfei3, Yin Zhi4 |
1. Guangxi Meteorological Technology Equipment Center,Nanning 530022; 2. Mashan Meteorological Bureau,Nanning 530600; 3. Yulin Meteorological Bureau,Yulin 537000; 4. Guilin Meteorological Bureau,Guilin 541001 |
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Abstract The article selects hourly observation data from 30 atmospheric negative oxygen ion observation stations in Guangxi from 2020 to 2023 to statistically analyze the spatiotemporal distribution characteristics of atmospheric negative oxygen ion concentration changes in Guangxi.Spatially,the overall trend in Guangxi is a gradual decrease from north to south.From the north,it decreases from west to east;from the south,it increases from west to east.The observation station with the highest annual average atmospheric negative oxygen ion concentration in northeastern Guangxi is Hezhou (8 918 ions/cm3),the highest in northwestern Guangxi is Huanjiang (6 230 ions/cm3),the highest in southeastern Guangxi is Darong Mountain (5 018 ions/cm3),the highest in southwestern Guangxi is Baise (2 921 ions/cm3),and the highest in coastal areas is Weizhou Island (1 760 ions/cm3).Gupo Mountain in Hezhou is the region with the richest atmospheric negative oxygen ions in the entire region.From the perspective of the installation environments of observation stations,those located in waterfalls and canyons have the highest atmospheric negative oxygen ion concentrations,followed by those installed in environments such as drifting,stream water,and hot springs.The daily variation of atmospheric negative oxygen ion concentration across Guangxi presents a "V" shape with high values at both ends and low values in the middle,and the peak and valley values occur at different times in different regions;the monthly variation overall presents a "double hump" shape,with the peak concentrated in May-June and the secondary peak concentrated in September-October;the seasonal variation shows a trend of "summer>spring>autumn>winter".
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Received: 14 September 2024
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