大连市负氧离子浓度分布及预测模型的建立

Distribution of negative oxygen ion concentration and its forecast model in Dalian,Liaoning province

利用2008—2009年大连市逐日负氧离子实况资料,分析了负氧离子季、月和日变化特征及其与相关气象要素的关系。结果表明:大连市负氧离子浓度具有明显的季节变化,冬季最大,夏季最小;而气温和PM10等是影响大连市负氧离子浓度的关键因素。运用逐步回归方法,求得各季节负氧离子的预报方程,实现了预报的定量化。经检验,预报方程效果显著,在预报业务中具有参考价值。

Based on the observation data of negative oxygen ion concentrations and meteorological data from March in 2008 to February in 2009 in Dalian, the seasonal, monthly and dally variations of negative oxygen ion concentrations, and relationships between negative oxygen ion concentrations and meteorological factors were analyzed. The results show that negative oxygen ion concentrations are obviously different in different seasons. Negative oxygen ion concentrations are higher in winter and lower in summer. Air temperature and PM10 are the key factors influencing negative oxygen ion concentrations in Dalian. Forecast equations of different seasonal negative oxygen ion concentrations are established by stepwise regression analysis. The forecast effect is better, which could provide references for the operational service.