科技视界
科技視界
과기시계
Science&Technology Vision
2014年
17期
214-215
,共2页
秦皇岛市%采暖期%非采暖期%大气颗粒物%污染特征%气象因素
秦皇島市%採暖期%非採暖期%大氣顆粒物%汙染特徵%氣象因素
진황도시%채난기%비채난기%대기과립물%오염특정%기상인소
Qinhuangdao%Heating season%Non-Heating season%Atmosphere particles%Pollution characteristic%Meteorological factors
对秦皇岛市点位PM2.5和PM10进行了为期两个月的采样(采暖期一个月,非采暖期一个月),初步研究了秦皇岛市采暖期与非采暖期PM2.5和PM10的污染特征以及采暖期PM2.5质量浓度与气象因素的关系。研究结果如下:采暖期PM2.5的平均浓度明显高于非采暖期,约为非采暖期的1.13倍,采暖期PM2.5在PM10中比重也高于非采暖期PM2.5在PM10中的比重。秦皇岛市PM10的污染较为严重,采暖期与非采暖期的日均值均相对于国家二级标准150μg/m3分别超标12.7%和14.0%。采暖期与非采暖期PM2.5、PM10的日变化曲线均呈现“倒S”的变化趋势(即早晚各有峰值)。 PM2.5质量浓度受多种气象因素的影响,其中与日平均相对湿度、蒸发量具有相关性关系。
對秦皇島市點位PM2.5和PM10進行瞭為期兩箇月的採樣(採暖期一箇月,非採暖期一箇月),初步研究瞭秦皇島市採暖期與非採暖期PM2.5和PM10的汙染特徵以及採暖期PM2.5質量濃度與氣象因素的關繫。研究結果如下:採暖期PM2.5的平均濃度明顯高于非採暖期,約為非採暖期的1.13倍,採暖期PM2.5在PM10中比重也高于非採暖期PM2.5在PM10中的比重。秦皇島市PM10的汙染較為嚴重,採暖期與非採暖期的日均值均相對于國傢二級標準150μg/m3分彆超標12.7%和14.0%。採暖期與非採暖期PM2.5、PM10的日變化麯線均呈現“倒S”的變化趨勢(即早晚各有峰值)。 PM2.5質量濃度受多種氣象因素的影響,其中與日平均相對濕度、蒸髮量具有相關性關繫。
대진황도시점위PM2.5화PM10진행료위기량개월적채양(채난기일개월,비채난기일개월),초보연구료진황도시채난기여비채난기PM2.5화PM10적오염특정이급채난기PM2.5질량농도여기상인소적관계。연구결과여하:채난기PM2.5적평균농도명현고우비채난기,약위비채난기적1.13배,채난기PM2.5재PM10중비중야고우비채난기PM2.5재PM10중적비중。진황도시PM10적오염교위엄중,채난기여비채난기적일균치균상대우국가이급표준150μg/m3분별초표12.7%화14.0%。채난기여비채난기PM2.5、PM10적일변화곡선균정현“도S”적변화추세(즉조만각유봉치)。 PM2.5질량농도수다충기상인소적영향,기중여일평균상대습도、증발량구유상관성관계。
In this paper, a monitoring of PM2.5 and PM10 in two month(Heating season is one month; Non-Heating season is one month)is given to show the changes in characteristic pollution of PM2.5 and PM10 in heating season and non-heating season, and association between heating season's PM2.5 and meteorological factors in Qinhuangdao. The results show that the average level of PM2.5 in heating season obviously higher, almost 1.13 times than in non-heating season. Moreover, the share of PM2.5 in PM10 during the heating season also higher than the non-heating season. Qinhuangdao has severe PM10 pollution. Daily average PM10 exceed the Secondary National Ambient Air Quality Standard of China 12.7% and 14.0% in heating season and non-heating season. The diurnal variations show an inverted S-curve between PM2.5 and PM10 in heating season and non-heating season. (Show peak in morning and evening) PM2.5 influenced by various meteorological factors, and has show a good correlation of diurnal average relative humidity and evaporation capacity.