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机构地区:[1]山东师范大学人口.资源与环境学院,山东济南250014
出 处:《环境科技》2015年第5期42-45,共4页Environmental Science and Technology
基 金:2014国家级大学生创新创业训练计划立项项目(201410445105)
摘 要: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。By use of a fresh year's PM2.5concentrations actua l 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 PM2.5concentration 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 PM2.5concentration 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 PM2.5concentration is extremely influenced by city's heating factor.
分 类 号:X5[环境科学与工程—环境工程]
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