摘要
针对大气中PM_(2.5)浓度的空间表征问题,提出了一种基于距离反比加权法的克里金插值模型进行PM_(2.5)浓度空间表征的方法。该方法根据各浓度监测站点公布的PM_(2.5)浓度卖时数据以及谷歌地球、百度地图中的地理信息,建立能够表征整个城市PM_(2.5)浓度的空间连续曲面,从而获得整个城市各个角落的PM_(2.5)污染情况。实例表明,基于距离反比加权法的克里金插值模型是一种有效的PM_(2.5)浓度空间表征方法,从而为大气中PM_(2.5)污染的防控提供一定的决策依据。
Aiming at the spatial representation of PM2.5 concentration in the atmosphere, this paper presents a method for spatial representation of the PM2.5 concentration in the atmosphere based on the inverse distance weighted Kriging interpolation model. According to the real-time data of PM2.5 concentration announced by the monitoring sites and the geographic information from Google Earth and Baidu Map, a space continuous curved surface is established to represent the PM2.5 concentration of the whole city, and then the PM2.5 pollution in every corner of the city is obtained. The example shows that the inverse distance weighted Kriging interpolation model is an effective PM2.5 concentration spatial reoresentation method, which provides a decision-making basis for the prevention and control of PM,, pollution in the atmosohere.
出处
《环境影响评价》
2015年第6期84-88,93,共6页
Environmental Impact Assessment
基金
湖南人文科技学院教学改革研究项目(RKJGZ1417)
湖南省普通高等学校教学改革研究项目(湘教通[2014]247号)
湖南省大学生研究性学习和创新性实验计划项目(湘教通[2014]248号)
关键词
PM2.5
浓度
空间表征
克里金插值
距离反比加权法
PM2.5 concentration
spatial representation
Kriging interpolation
inverse distance weighted method
