基于时间序列遥感的武汉绿地景观格局与气溶胶光学厚度的相关性

绿地作为消减颗粒物污染的重要载体,对缓解空气污染具有重要作用。既往研究虽然从不同尺度对绿地和空气污染的关系进行了研究,但从遥感数据的时间序列对以AOD为代表的综合空气污染物与绿地的相关性及其模型规律研究却鲜少涉及。文章选取武汉市2000—2015年的绿地与AOD为对象,运用ENVI解译遥感影像获取绿地和MODIS AOD数据,进而运用Fragstats计算绿地及其因子的景观指数,在10km网格尺度探讨绿地及其因子的景观指数与其对应的平均AOD值的相关规律,并得出规律模型,旨在为城乡规划设计、生态类相关规划设计与空气污染防治等提供参考。

Correlation Between Green Space Landscape Pattern and AOD in Wuhan Based on Time Series Remote Sensing

As an important carrier to reduce particulate matter pollution,green spaces play an important role in mitigating air pollution.Although previous studies have explored the relationship between green spaces and air pollution at different scales,there is few research on the correlation between the compound air pollutants represented by AOD and green spaces and the model law from the time series of remote sensing data.With the green spaces and AOD between 2000 and 2015 in Wuhan as the study objects,the paper uses ENVI to interpret remote sensing images and obtain green space and MODIS AOD data for calculating the landscape index of green space and its factors with Fragstats.The correlation between landscape index and the corresponding average AOD value of green space and its factors is discussed at the 10km scale,based on which the regular model between green space and its factor and AOD is generated.The research is aimed to provide references for urban and rural planning,ecology related planning and air pollution control.