兰溪市负氧离子浓度特征与气象因素关系研究OACSTPCD
Study on the Relationship Between Characteristic Concentration of Negative Oxygen Ion and Meteorological Factors in Lanxi
利用兰溪市负氧离子监测数据及同期的气象环境观测资料,分析兰溪市负氧离子浓度变化特征、影响负氧离子浓度的主要气象环境因子,建立预报模型.结果表明,兰溪市负氧离子浓度具有明显的日变化特征,夜里至清晨时段较高,白天到傍晚时段较低.负氧离子浓度存在季节差异,春季呈"V"型;秋、冬季呈"W"型曲线,秋季的变化幅度没有冬季大,整体变化平缓;夏季呈波峰波谷交替出现,相较于其他季节更为复杂.降雨对负氧离子浓度影响很大,小时雨强和负氧离子浓度呈显著正相关关系;小时雨强达大雨以上对负氧离子浓度的影响最大;负氧离子浓度峰值出现在雨量峰值的前一个时次,有较好的对应关系.通过建立负氧离子浓度预报模型,实现定量化预报,对丰富旅游气象服务产品具有参考价值.
Based on the monitoring data of negative oxygen ions in Lanxi and the observation data of meteorological environment in the same period,the variation characteristics of negative oxygen ion concentration in Lanxi and the main meteorological environmental factors affecting negative oxygen ion concentration were analyzed,and the prediction model was established.The results indicated:the concentration of negative oxygen ions in Lanxi had obvious diurnal variation characteristics,which was high from night to morning and low from daytime to evening.There were seasonal differences in the concentration of negative oxygen ions,showing a'V'type in spring and a'W'curve in both autumn and wither.However,the change in autumn was not as huge as that in winter,and the overall change was gentle.In summer,peaks and troughs appeared alternately,which was more complicated than other seasons.Rainfall had a great influence on the concentration of negative oxygen ions.There was a significant positive correlation between hourly rainfall intensity and negative oxygen ion concentration.The hourly rainfall intensity of heavy rain and more violent rain had the greatest influence on the concentration of negative oxygen ions.The peak value of negative oxygen ion concentration appeared in the last time level of the peak rainfall,which had a good correspondence.By establishing the negative oxygen ion concentration prediction model,quantitative prediction was realized,which had reference value for enriching tourism meteorological service products.
简单;金杨;方鹤鸣;韦丹清
兰溪市气象局,浙江兰溪 321100金东区气象局,浙江金华 321015
环境科学
负氧离子浓度变化特征气象环境因子预报模型
Negative oxygen ion concentrationvariation characteristicsmeteorological environment factorsprediction model
《四川环境》 2024 (002)
7-13 / 7
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