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兰溪市负氧离子浓度特征与气象因素关系研究

简单 金杨 方鹤鸣 韦丹清

四川环境2024,Vol.43Issue(2):7-13,7.
四川环境2024,Vol.43Issue(2):7-13,7.DOI:10.14034/j.cnki.schj.2024.02.002

兰溪市负氧离子浓度特征与气象因素关系研究

Study on the Relationship Between Characteristic Concentration of Negative Oxygen Ion and Meteorological Factors in Lanxi

简单 1金杨 1方鹤鸣 2韦丹清1

作者信息

  • 1. 兰溪市气象局,浙江兰溪 321100
  • 2. 金东区气象局,浙江金华 321015
  • 折叠

摘要

Abstract

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.

关键词

负氧离子浓度/变化特征/气象环境因子/预报模型

Key words

Negative oxygen ion concentration/variation characteristics/meteorological environment factors/prediction model

分类

资源环境

引用本文复制引用

简单,金杨,方鹤鸣,韦丹清..兰溪市负氧离子浓度特征与气象因素关系研究[J].四川环境,2024,43(2):7-13,7.

四川环境

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