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Study on Statistical Forecast Method for O_3 Concentration near the Ground in Pudong District of Shanghai Based on Meteorological Condition Analysis

机译:基于气象条件分析的上海市浦东地区O_3浓度统计预报方法研究

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摘要

[Objective]The research aimed to study statistical forecast method for O3 concentration near the ground in Pudong District of Shanghai based on meteorological condition analysis. [Method] Via observation and statistical analysis of the O3 concentration near the ground in Pudong District of Shanghai from 2006 to 2008, by considering meteorological condition, a kind of simple and practical new method suiting for forecast of the O3 concentration and pre-warning of the high-concentration O3 pollution event in whole year was established. [Result]Meteorological condition had obvious influence on O3 concentration near the ground. O3 concentration was the biggest in sunny day, followed by cloudy day. O3 concentration near the ground had typical seasonal change characteristics, and high value mainly happened in summer. Meteorological condition generating high-concentration O3 included sunny day, strong UV radiation, low relative humidity, high temperature and small wind speed, etc. By surveying historical weather chart, 10 kinds of main weather situations affecting Shanghai were summed. Under each weather situation, occurrence probability of the high-concentration O3 near the ground and average O3 concentration were conducted statistics. We found that occurrence probability of the high-concentration O3 was the biggest under northwest side of the subtropical high type, followed by internal type of the subtropical high. By introducing HPPI and WDI and comprehensively considering various meteorological factors, forecasting equation of the O3 concentration was established based on stepwise regression. The equation had good fitting effect and predictability on the daily maximum O3 concentration. [Conclusion]The method also could provide reference for O3 forecast in other areas.
机译:[目的]研究基于气象条件分析的上海市浦东新区地面O3浓度统计预测方法。 [方法]通过对上海市浦东区2006年至2008年地面O3浓度的观测和统计分析,结合气象条件,提出了一种适用于O3浓度预报和预警的简单实用的新方法。建立了全年高浓度O3污染事件。 [结果]气象条件对地面附近O3浓度有明显影响。 O3浓度在晴天最大,其次是阴天。地面附近的O3浓度具有典型的季节变化特征,高值主要发生在夏季。产生高浓度O3的气象条件包括晴天,强紫外线辐射,相对湿度低,高温和小风速等。通过调查历史气象图,总结了影响上海的10种主要天气情况。在每种天气情况下,对地面附近高浓度O3的发生概率和平均O3浓度进行了统计。我们发现,在副热带高压类型的西北侧,高浓度O3的发生概率最大,其次是副热带高压内部类型。通过引入HPPI和WDI并综合考虑各种气象因素,基于逐步回归建立了O3浓度的预报方程。该方程对日最大O3浓度具有良好的拟合效果和可预测性。 [结论]该方法还可为其他地区的O3预报提供参考。

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