摘要
该研究利用卫星监测数据,根据统计理论、采用地学统计分析方法,对2010~2015年期间中国华东腹地安徽省气溶胶光学厚度时空格局及空间关联性进行研究,并对其与部分影响因子的空间耦合展开分析。结果表明:(1)2010~2015年期间,各市气溶胶光学厚度年均值较为稳定(0~0.5),波动趋势基本一致,空气质量逐年改善。气溶胶光学厚度越小的城市,其值聚集性越显著,气溶胶光学厚度越大的城市,其值离散性越显著。(2)安徽省气溶胶光学厚度存在空间关联性和空间异质性,关联性主要表现为高高分布的正相关,异质性随时间推移并非稳定存在。(3)南部城市为相对清洁区、北部城市为相对污染区,中部城市为主要污染区;城市发展程度和地势是气溶胶光学厚度分布的重要耦合因子。
Aerosol optical depth is one of the most important parameters of the optical characteristics of aerosol which in turn reflect the air quality. In this paper on the basis of statistical theory, Moran＇s I coefficient and spatial autocorrelation analysis, Satellite MODIS data was employed to study the temporal-spatio format of Anhui Province during the period from2010 to 2015. The study suggests that during the period from 2010 to 2015, air quality was improved year by year in all cities of the Province, aerosol optical depth of each city being stable ranging from 0 ~0.5 with the similar fluctuation trend, and it seems cities of smaller aerosol optical depths have data of more clustering character, while cities of bigger aerosol optical depth have data of more discreteness. There exist spatial association, i.e. the high-high distribution of positive correlation, and spatial heterogeneity which changes with time in Anhui Province; and air quality of cities in the south part of the Province is relatively better, the cities in the north part worse, while the cities in the central part is the worst. In conclusion, the city＇s de-veloping level and topography are the major factors influencing the aerosol optical depth..
出处
《环境科学与技术》
CAS
CSCD
北大核心
2017年第9期209-216,共8页
Environmental Science & Technology
基金
安徽省高校自然科学研究一般项目(KJ2015B16)
安徽地理信息集成应用协同创新中心开放基金(201116Z02)
安徽省高校优秀人才支持计划重点项目(gxyq ZD2016326)
滁州学院科研启动基金项目(2015qd10)
2016年安徽省教育厅重点项目(KJ2016A523)
2011协同创新中心规划项目(2015GH01)
