摘要
深入理解区域PM2.5时空分布及演变状况是进行大气环境治理的基础。以福建省2016年PM2.5日监测数据为基础,计算了不同滞后距级别的试验时空变异函数,并拟合了理论时空变异模型。在此基础上,利用时空克里格方法对区域PM2.5浓度进行了使用内插,获得了PM2.5时空立方体数据。基于该数据,对福建省2016年PM2.5进行了时空分析,结果表明,福建省PM2.5在空间上呈现南高北低的地带性趋势,时间上呈现冬春高、夏秋低的趋势。
Understanding the spatiotemporal variation and trends of air pollution is a key element of the implementation of the most effective risk assessment and environmental policy in the region. The daily concentrations of PM 2.5 in Fujian province obtained during the year 2016 were used to derive the variogram model that provided a quantitative characterization of the spatiotemporal(ST) variation of PM 2.5 concentrations in the study region. A spatiotemporal ordinary kriging(STOK) technique was subsequently employed to generate informative maps of the ST pollutant distribution in Fujian province. Based on the results of STOK, lots of ST analyses were implemented. The results included indicated that the PM 2.5 exhibited a decreasing spatial trend from the northern to the southern part of Fujian. In term of temporal trend, PM 2.5 showed a decreasing from spring and winter to summer and autumn.
作者
覃杰
蔡周旸
杨勇
Qin Jie;Cai Zhouyang;Yang Yong(Xiamen Great Power Geo Information Technology Co., Ltd., Xiamen 361009, China;College of Resource & Environment, Huazhong Agricultural University, Wuhan 430070, China)
出处
《环境科学与管理》
CAS
2019年第5期47-51,共5页
Environmental Science and Management
基金
国家自然科学基金面上项目(41671217)
中央高校基本科研业务费专项基金资助项目(2662017PY038)
关键词
PM2.5
时空
福建
PM 2.5
spatial-temporal
Fujian
