北京地区不同天气条件下近地面大气电场特征

吴亭; 吕伟涛; 刘晓阳; 董万胜; 张义军; 李成才; 王美华; 杨晶; 李长河

北京地区不同天气条件下近地面大气电场特征

1.
中国气象科学研究院, 北京 100081)
2.
北京大学物理学院大气科学系, 北京 100871
3.
北京市气象局装备保障中心, 北京 100089

资助项目:

科技部公益性行业科研专项经费项目 GYHY2007622

国家自然科学基金项目 40605004

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出版历程
- 收稿日期: 2008-05-20
- 修回日期: 2009-02-13
- 刊出日期: 2009-08-31

Characteristics of Atmospheric Electric Field near the Earth' s Surface Under Different Weather Conditions in Beijing

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Department of Atmospheric Sciences, School of Physics, Peking University, Bei jing 100871
3.
Beijing Meteorological Equipment Support Center, Beijing 100089

摘要

摘要: 利用2004年8月—2005年11月近地面大气电场仪的观测资料, 对北京地区不同天气条件下近地面大气电场特征进行分析。结果表明:北京地区晴天近地面大气电场日变化呈双峰双谷, 谷值分别出现在北京时05:00和12:00, 峰值分别出现在07:00和23:00, 并且表现出一定的季节变化; 晴天大气电场的变化与气溶胶含量的变化有密切关系, 两者呈正相关; 晴天大气电场与绝对湿度之间也表现出很强的相关性, 在一定程度上反应了水汽对大气电场的作用; 沙尘天气下风速均达到一定强度, 近地面大气电场为负值, 并且变化剧烈, 电场强度与PM₁₀之间呈现较强的负相关, 而电场强度与风速之间没有表现出明显的相关性。
- 大气电场;
- 气溶胶;
- 绝对湿度;
- 沙尘天气
Abstract: Based on the measurements of atmospheric electric field and various meteorological elements from the rooftop of a building (about 15 m high), the characteristics of atmospheric electric field in different weather conditions are analyzed. Criteria to select fair-weather days are set according to the data of solar radiation, height of cloud base, precipitation amount and wind speed. As a result, 173 days out of nearly fifteen months are determined as fair-weather days. Data of electric field as well as visibility, concentration of PM₁₀ and absolute humidity of these days are averaged respectively to describe their mean diurnal variations and correlations between electric field and various factors. The result indicates that the diurnal variation of electric field in fair-weather exhibits a double oscillation with trough at 05:00 and 12:00 and peak at 07:00 and 23:00 (Beijing time). The seasonal variation of electric field is also obvious. Variation of fair-weather atmospheric electric field is closely related to the variation of aerosol concentrations. Aerosols can absorb small ions, which dominate the conductivity of air. As the concentration of aerosol increases, the concentration of small ions decreases, and the conductivity decreases as well. Finally, the electric field increases. As a result, the fair-weather atmospheric electric field is positively correlated with the aerosol concentrations. Mean diurnal variation waveshape of absolute humidity in fair weather is similar with that of atmospheric electric field. Under some conditions absolute humidity and electric field also exhibit almost simultaneous fluctuations lasting for several hours. These characteristics show the influence of water vapor on atmospheric electric field. In dusty weather, electric field measured at the observatory remains highly negative and changes rapidly. Various quantities in several strong dust events are turbulent to study relationships between different elements. Result shows that there is a strong correlation between electric field and PM₁₀ which reflects the concentrations of sand particles. However, in most cases, there is no obvious correlation between electric field and wind speed. Theoretically, atmospheric electric field in dusty weather is simultaneously determined by quantity of sand particles and wind speed. But the result indicates that the quantity of sand particles plays more important role in the change of atmospheric electric field.
- atmospheric electric field;
- aerosol;
- absolute humidity;
- dusty weather

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图 1 晴天近地面大气电场日变化

Fig. 1 Diurnal variation of fair-weather atmospheric electric field near the earth' s surface

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图 2 晴天近地面大气电场与能见度 (a)、PM₁₀(b) 的平均日变化

Fig. 2 Mean diurnal variation of fair-weather atmospheric electric field and visibility (a), PM₁₀(b)

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图 3 近地面大气电场与绝对湿度日变化 (a) 晴天平均, (b)2004年10月16日

Fig. 3 Diurnal variation of atmospheric electric field and absolute humidity (a) mean variation in fair weather, (b) on 16 Oct 2004

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图 4 沙尘天气下大气电场、PM₁₀及风速日变化 (a)2005年3月23日, (b)2005年4月19日

Fig. 4 Diurnal variation of atmospheric electric field, PM₁₀ and wind speed in dusty weather on 23 Mar 2005 (a) and 19 Apr 2005 (b)

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图 5 2005年4月19日沙尘天气下电场的剧烈变化

Fig. 5 Rapid change of electric field in dusty weather on 19 Apr 2005

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图 6 各次沙尘天气中电场值与PM₁₀线性拟合 (a) 平均值, (b) 极值

Fig. 6 Linear fitting of average value (a) and extreme value (b) of electric field and PM₁₀ in dusty weather

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表 1 同步观测资料的总体情况

Table 1 General information of synchronous data

表 2 各次沙尘天气的持续时间，电场、PM₁₀、风速的平均值及极值

Table 2 Duration of each dust event, everage and extreme value of electronic field, PM₁₀ and wind speed

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