主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2016, Vol. 32 ›› Issue (6): 58-68.doi: 10.3969/j.issn.1673-503X.2016.06.008

• 论文 • 上一篇    下一篇

银川地区大气颗粒物浓度变化特征及其与气象条件的关系

缑晓辉1,2, 严晓瑜1,2, 刘玉兰1,2, 桑建人1,2   

  1. 1. 中国气象局旱区特色农业气象灾害监测预警与风险管理重点实验室, 宁夏 银川 750000;
    2. 宁夏气象防灾减灾重点实验室, 宁夏 银川 750000
  • 收稿日期:2015-07-08 修回日期:2016-01-18 出版日期:2016-12-31 发布日期:2016-12-31
  • 作者简介:缑晓辉,男,1981年生,工程师,主要从事专业预报技术研究,E-mail:gouxh2000@126.com。
  • 基金资助:
    宁夏回族自治区科技支撑计划项目(2015KJHM31)、宁夏回族自治区环境保护科学技术研究项目(2014001)和宁夏回族自治区气象局项目(201404)共同资助。

Characteristics of atmospheric particulate and their relationships with meteorological conditions in Yinchuan area

GOU Xiao-hui1,2, YAN Xiao-yu1,2, LIU Yu-lan1,2, SANG Jia-ren1,2   

  1. 1. Key Laboratory of Characteristic Agric-meteorological Disaster Monitoring, Forecasting and Risk Management in Arid Regions, China Meteorological Administration, Yinchuan 750000, China;
    2. Key Laboratory of Meteorological Disaster Prevention and Mitigation in Ningxia Province, Yinchuan 750000, China
  • Received:2015-07-08 Revised:2016-01-18 Online:2016-12-31 Published:2016-12-31

摘要: 利用2013-2014年银川地区大气颗粒物质量浓度和同期气象要素的观测资料,分析了银川地区大气颗粒物浓度的分布特征及其与气象条件的关系。结果表明:2013-2014年银川地区PM10、PM2.5、PM1年平均浓度分别为167.3 μg·m-3、67.2 μg·m-3和45.0 μg·m-3,年平均PM2.5/PM10、PM1/PM10、PM1/PM2.5分别为45.0%、32.0%和65.0%;PM10浓度3月最高,8月最低,PM2.5和PM1最高浓度均出现在1月,PM2.5最低浓度出现在8月,PM1最低浓度出现5月;3-5月为PM2.5/PM10、PM1/PM10和PM1/PM2.5最低的3个月。不同天气类型PM10浓度由高至低依次为浮尘/扬沙 >典型天气平均 >霾 >晴天 >雾,不同天气类型PM2.5浓度由高至低依次为扬沙/浮尘 >霾 >典型天气平均 >晴天 >雾,不同天气类型PM1浓度由高至低依次为霾 >典型天气平均 >雾 >晴天 >浮尘/扬沙。风速与PM10浓度呈正相关关系,风速与PM2.5和PM1浓度均呈负相关关系;PM10浓度在偏西北风时较高,PM2.5和PM1浓度在偏西南风与偏东北风时较高;气温与PM10、PM2.5、PM1浓度均呈显著的负相关关系;相对湿度与PM10浓度呈显著的负相关关系,相对湿度与PM1浓度呈显著的正相关关系,相对湿度与PM2.5相关性较弱;气压对PM10浓度变化的影响较小,气压与PM2.5、PM1浓度呈正相关关系;降水对PM10的清除作用最强,对PM2.5的清除作用次之,对PM1基本无清除作用。

关键词: 大气颗粒物, 气象条件, 相关分析, 清除作用

Abstract: Using the atmospheric particulate matter concentration and meteorological data in Yinchuan from 2013 to 2014,the distribution characteristics of atmospheric particulate matter concentration and their relationships with meteorological conditions were analyzed.The results show that the mean annual concentrations of PM10,PM2.5 and PM1 are 167.3 μg·m-3,67.2 μg·m-3 and 45.0 μg·m-3,and the mean annual values of PM2.5/PM10,PM1/PM10 and PM1/PM2.5 are 45.0%,32.0% and 65.0%,respectively.The maximum concentration of PM10 occurs in March,and the minimum one in August.The maximum concentrations of PM2.5 and PM1 occur in January,and the minimum ones of PM2.5 and PM1 occur in August and May,respectively.From March to May,the lowest values of PM2.5/PM10,PM1/PM10 and PM1/PM2.5 occur in a year.For different weather conditions,the order of PM10 concentration from high to low is raising-sand/floating-dust,average of typical weathers,haze,fine day and fog.The situation for PM2.5 is raising-sand/floating-dust,haze,average of typical weathers,fine day and fog.The case for PM1 is haze,average of typical weathers,fine day,raising-sand/floating-dust.There is a positive correlation between wind speed and PM10 concentration,and negative correlations of wind speed with PM2.5 and PM1 concentrations.When the wind direction is north-west,the concentration of PM10 is higher.When it is south-west and north-east,the concentrations of PM2.5 and PM1 are higher.There are significant negative correlations of air temperature with the concentrations of PM10,PM2.5 and PM1.Relative humidity has a significant negative correlation with PM10 concentration,and a strong positive correlation with PM1 concentration,while a weak correlation with PM2.5 concentration.The influence of air pressure on the PM10 concentration is small,while there are positive correlations of it with the concentrations of PM2.5 and PM1.The cleaning effect of precipitation on PM10 is the strongest,followed in PM2.5,and it basically has no impact on PM1.

Key words: Atmospheric Particulates, Meteorological Condition, Correlation Analysis, Cleaning effect

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