长三角典型城市PM2.5浓度变化特征及与气象要素的关系
高嵩;田蓉;郭彬;张龙;马晓燕
【期刊名称】《科学技术与工程》 【年(卷),期】2024(018)009
【摘要】利用长三角地区4个典型城市南京、上海、杭州、合肥2014年4月1日~2015年3月31日的PM2.5监测数据,以及同期MICAPS地面气象要素的观测资料,对该地区PM2.5浓度的变化规律及其与气象要素的关系进行了分析和讨论.结果表明:长三角地区PM2.5浓度总达标率总体表现为夏季最高,冬季最低的态势.4个城市中,上海全年总达标率最高,杭州其次,合肥最低.上海和杭州达标率月变化特征相近,南京和合肥相近;PM2.5逐小时浓度日变化曲线呈现两峰一谷型分布,最大值均出现在早晨,最小值均出现在下午16~17时之间;月平均浓度具有明显的季节变化特征,冬季最高,夏季最低;PM2.5浓度与风速呈现显著现负相关关系,受地面风向影响明显,污染物在主导风的作用下从上游污染源扩散至下风区域;与气温呈现负相关关系;从全年来看,PM2.5浓度与相对湿度呈现负相关关系,高湿度状态更有利于降水从而增加PM2.5湿清除;各个城市PM2.5浓度与气压相关性很弱,并且未通过显著性检验,可见气压是影响PM2.5浓度变化的次要因素;降水对PM2.5清除作用明显.不同城市PM2.5的变化特征及其受气象要素的影响存在差异,主要是由不同城市的地理环境、产业布局以及污染源等因素造成的.osed on the observational data of PM 2.5mass concentration and meteorological elements from MI-CAPS data in Nanjing, Shanghai, Hangzhou and Hefei, four typical cities over the Yangtze River Delta region, from April 1,2014~March 31,2015,the
variation of PM2.5concentration and its relationship with meteorological factors were analyzed and discussed.The results show that the total standard-reaching rate of PM2.5concentration in the Yangtze River Delta is the highest in summer, and the lowest in winter.Among four cities, Shanghai has the highest rate for the whole year,followed by Hangzhou and the lowest in Hefei.The monthly variation characteristics of PM2.5standard-reaching rate in Shanghai and Hangzhou are similar,and Nanjing and Hefei are similar.The di-urnal variation curve of PM2.5shows a two-peak-one-valley trend.The maximum values appear in the morning and the lowest values appear 16:00~17:00;The monthly averaged concentration has obvious seasonal variation charac-teristics,the highest value in winter,and the lowest in summer; PM2.5concentration is negatively correlated with wind speed and is affected by the wind direction.Pollutants can diffuse from the upstream pollution source to the downwind area under the dominant wind direction;There is a negative correlation between PM 2.5mass concentration
and
temperature
in
the
Yangtze
River
Delta;PM2.5concentration in the Yangtze River Delta is negatively correlated with the relative humidity during the whole year,and the high humidity is more favorable for precipitation, which causes PM2.5wet deposition; The correlation between PM2.5concentration and pressure in each city is very weak, and the significance test is not passed.It can
be seen that pressure is a minor factor affecting PM 2.5concentration. Precipitation has obvious scavenging effect on PM 2.5.The variation of PM2.5in different cities and the influences of meteorological factors are also
different.It
is
mainly
caused
by
the
geographical
environment,industrial distribution and emission sources of different cities.
【总页数】14页(142-155)
【关键词】PM2.5浓度;变化特征;气象要素;长三角 【作者】高嵩;田蓉;郭彬;张龙;马晓燕
【作者单位】江苏省电力公司电力科学研究院,南京210044;气象灾害预报预警与评估协同创新中心,南京210044;南京信息工程大学中国气象局气溶胶与云降水重点开放实验室,南京210044;气象灾害预报预警与评估协同创新中心,南京210044;南京信息工程大学中国气象局气溶胶与云降水重点开放实验室,南京210044;江苏省电力公司电力科学研究院,南京210044;气象灾害预报预警与评估协同创新中心,南京210044;南京信息工程大学中国气象局气溶胶与云降水重点开放实验室,南京210044 【正文语种】中文 【中图分类】X16 【文献来源】
https://www.zhangqiaokeyan.com/academic-journal-cn_science-technology-engineering_thesis/0201258227275.html 【相关文献】
长三角典型城市PM2.5浓度变化特征及与气象要素的关系
