CAJ | 학술논문

使用 2010-2012年西宁市区空气质量监测站逐日平均浓度数据以及同期气象要素资料,采用气候统计学方法,对PM10 污染浓度特征及PM10 与气象要素的关系进行分析.结果表明,近3年西宁市区PM10 污染浓度呈递减趋势,由20lO年的0.117 mg/m3 到2012年的0.103mg/m3,下降了0.014mg/m3,同期的大部分气象要素呈升高趋势;PM10 污染浓度最高值出现在12月,为0.166mg/m3,最低值出现在7月,为0.061 mg/m3;污染浓度由重到轻排序依次为冬季>春季>秋季>夏季;冬季PM10 污染浓度为夏季的2.0 倍;取暖期污染物排放是PM10污染浓度增加的主要原因之一;PM10 污染浓度的高低与春季沙尘天气有一定的关系,沙尘天气发生的次日污染最严重;污染天气出现概率呈冬季>春季>秋季的特征;PM10 污染浓度月变化与地面气象要素有很高的相关性,说明PM10 污染浓度的变化不仅与人类活动有关,与气象要素的关系也很密切.
사용 2010-2012년서저시구공기질량감측참축일평균농도수거이급동기기상요소자료,채용기후통계학방법,대PM10 오염농도특정급PM10 여기상요소적관계진행분석.결과표명,근3년서저시구PM10 오염농도정체감추세,유20lO년적0.117 mg/m3 도2012년적0.103mg/m3,하강료0.014mg/m3,동기적대부분기상요소정승고추세;PM10 오염농도최고치출현재12월,위0.166mg/m3,최저치출현재7월,위0.061 mg/m3;오염농도유중도경배서의차위동계>춘계>추계>하계;동계PM10 오염농도위하계적2.0 배;취난기오염물배방시PM10오염농도증가적주요원인지일;PM10 오염농도적고저여춘계사진천기유일정적관계,사진천기발생적차일오염최엄중;오염천기출현개솔정동계>춘계>추계적특정;PM10 오염농도월변화여지면기상요소유흔고적상관성,설명PM10 오염농도적변화불부여인류활동유관,여기상요소적관계야흔밀절.
Using daily average concentration data of air quality monitoring station in Xining urban area from 2010 to 2012,as well as meteorological elements information in the same period, climate statistical methods was employed to analyze the characteristics of PM10 pollutant concentrations as well as the relationship between PM10 and meteorological elements.The result showed that PM10 pollution concentrations had a decreasing trend in Xining urban area in recent 3 years,which decreased by 0.014 mg/m3from 0.117 mg/m3 in 2010 to 0.103 mg/m3 in 2012,and most of the meteorological elements had a increasing trend in the same period.The highest pollution concentrations of PM10 appeared in December, which was 0.166 mg/m3,and the lowest appeared in July,which was 0.061 mg/m3.The pollution concentrations in seasons were sequenced by descending order, which was winter>spring>autumn>summer, and concentration of PM10 pollutant in winter was two times as it in summer.One of the main reasons of PM10 pollution concentration increased in heating period was the pollutant emissions.There was a certain relationship between PM10 pollution concentration level and dust weather in spring, and pollution was the heaviest in the next day of dust weather.The probability of occurrence feature of pollution weather was winter >spring >autumn.There was a high correlation between monthly changes in the PM10 pollution concentration and ground meteorological elements, which explained the change of PM10 pollution concentration not only related to human activities, but also closely associate with meteorological elements.