摘要
利用GIS空间统计工具分析四川省3项大气污染物SO2、NO2和PM10浓度的空间分异特征。污染物在东北-西南方向上分布最为分散,污染重心与几何中心偏离较多,不均衡性较大。全局来看,NO2和SO2浓度的空间自相关性较强,属于聚集模式;PM10浓度的空间自相关性较弱,属于随机分布模式。局部相关性分析表明,大部分地市的大气污染物之间相关性较弱,SO2和NO2具有相似的自相关分布,PM10局地自相关性与其他两项污染物的差异较大。通过分析2001~2010年间污染重心的变化轨迹,可知10年间污染重心向西南方向偏移,向低纬度、低经度方向移动,其中SO2偏移量最大。2001年和2010年浓度变化率分析,发现全省各地市PM10削减力度明显,SO2局部地区有较大的削减,NO2仅有23.81%的地市有所削减,整体削减程度较小。
Using the spatial statistical analysis tools of GIS,this paper analyzed the spatial differential features of three main atmospheric pollutants—SO2、NO2 and PM10. With the conclusion that atmospheric pollutants present an uneven spatial distribution in Sichuan city,especially along the direction of northeast and southwest,and the weighted mean centers of SO2、NO2和 PM10,which are all fell in the full district,are far away from the weighted mean center of geometry,which is unbalanced. Generally,the distribution of NO2 and SO2 belong to clustered pattern with a strong spatial autocorrelation. The distribution of PM10 presents a random pattern,which has a weak spatial autocorrelation. The analysis of local correlation shows that the atmospheric pollutants in most of cities have weak correlations,SO2 and NO2 have the similar distribution of autocorrelation.The local autocorrelation of PM10 has a significant difference from the other two pollutants. Through analyzing the change of the trajectory in the pollution center of gravity from 2001 to 2010,the results display pollution centers turn towards southwest and move towards the direction of the low latitude and longitude,and the maximum of the offset is the center of SO2. The change rate of the concentration showed significant reduction of PM10 in all cities,the reduction of SO2 is large in some regions,but for NO2,the the reduction rate is about 23. 81%,the overall reduction is small.
出处
《四川环境》
2017年第5期76-81,共6页
Sichuan Environment
关键词
GIS
空间分异
空间统计
浓度变化率
Geographic information system
spatial differential features
spatial statistic
the change rate of concentration
