环境科技
環境科技
배경과기
Environmental Science and Technology
2015年
5期
42-45
,共4页
PM2.5%浓度%采暖期%时段平均值%相关性
PM2.5%濃度%採暖期%時段平均值%相關性
PM2.5%농도%채난기%시단평균치%상관성
PM2.5%Concentration%Heating period%Mean of period of time%Relativity
利用济南市及其周边5个城市新近1年来的PM2.5浓度实测数据, 对该6个城市采暖期与非采暖期PM2.5浓度的统计特征进行了分析, 建立了PM2.5浓度的等长时段平均值极差搜寻模型和时段区间重叠度计算模型. 以时段长120 d为例,通过计算滑动等长时段的PM2.5浓度平均值求解极差搜寻模型,并得到了平均值峰值对应的时段与城市采暖期的重叠度. 结果表明:6个城市的重叠度均在0.728 6以上,即PM2.5浓度时段平均值的峰值对应的时段与城市采暖期高度重叠,城市采暖对于PM2.5浓度的影响很大.
利用濟南市及其週邊5箇城市新近1年來的PM2.5濃度實測數據, 對該6箇城市採暖期與非採暖期PM2.5濃度的統計特徵進行瞭分析, 建立瞭PM2.5濃度的等長時段平均值極差搜尋模型和時段區間重疊度計算模型. 以時段長120 d為例,通過計算滑動等長時段的PM2.5濃度平均值求解極差搜尋模型,併得到瞭平均值峰值對應的時段與城市採暖期的重疊度. 結果錶明:6箇城市的重疊度均在0.728 6以上,即PM2.5濃度時段平均值的峰值對應的時段與城市採暖期高度重疊,城市採暖對于PM2.5濃度的影響很大.
이용제남시급기주변5개성시신근1년래적PM2.5농도실측수거, 대해6개성시채난기여비채난기PM2.5농도적통계특정진행료분석, 건립료PM2.5농도적등장시단평균치겁차수심모형화시단구간중첩도계산모형. 이시단장120 d위례,통과계산활동등장시단적PM2.5농도평균치구해겁차수심모형,병득도료평균치봉치대응적시단여성시채난기적중첩도. 결과표명:6개성시적중첩도균재0.728 6이상,즉PM2.5농도시단평균치적봉치대응적시단여성시채난기고도중첩,성시채난대우PM2.5농도적영향흔대.
By use of a fresh year's PM2.5 concentrations actual data of Jinan city and its circumjacent five cities, the statistical characters of PM2.5concentrations of the six cities in both heating period and non-heating period are analyzed. The model for searching extremum difference of PM2.5 concentration means with changeless length of period and model for calculating time interval superposition degree are built. By taking a length of 120 days as period for example, the searching model is solved by calculating the slip means, and the superposition degree between peak value period of PM2.5 concentration mean and the heating period is obtained. The results show that the superposition degrees of six cities are all above 0.728 6, i.e. the period of time with the biggest PM2.5concentration mean is highly superposed with the heating period of city, and PM2.5 concentration is extremely influenced by city's heating factor.
