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A comparative analysis of AOD in main cities and the western region of China from 2000 to 2014 based on GIOVANNI |
| ZHOU Jiayuan1, SHI Runhe1, 2, 3 |
1. School Of Geographic Sciences, East China Normal University, Shanghai 200241, China;
2. Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China;
3. Joint Laboratory for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE, Shanghai 200241, China |
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Abstract Retrievals of aerosol optical depth (AOD) is the key data sources to carry out the study of regional air quality. The study of a long-time series of AOD needs the temporal spread and spatial expansion of AOD stripe products, involving a series of complex and professional data processing. In order to help the non-remote sensing professional researchers to correctly use the data, NASA has developed a web service workflow-based data visualization and analysis system- GIOVANNI, but this system has not yet been widely used in China. In this paper, choosing Beijing, Shanghai, Guangzhou and the western region of China as the study areas, the authors interpolated the missing data based on the variation characteristics of multi-year time series. On such a basis, the authors carried out a comparative analysis of the monthly values of AOD in main cities and the western region of China from 2000 to 2014 based on GIOVANNI. The results show that, compared with things in the western region, the averages of multi-year values of AOD in Beijing, Shanghai and Guangzhou were significantly higher, of which Shanghai was the highest, followed by Beijing. AOD in Beijing and Shanghai had significant seasonal differences, and exhibited the high levels in spring and summer and the low levels in autumn and winter. Although the averages of annual values of AOD in Beijing, Shanghai and Guangzhou showed anon significant trend from 2000 to 2014, the time series of AOD in Shanghai and Guangzhou had similarity.
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| Keywords
multi-temporal
dual-polarization
ALOS PALSAR
support vector machine(SVM)
forest mapping
world natural heritage site
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| Fund:; 利用卫星遥感技术开展空气污染监测具有空间覆盖能力强、可周期性重复观测、时间序列长等优势,能与地基站点监测形成互补。一般来说,主要通过建立遥感反演的气溶胶光学厚度(aerosol optical depth, AOD)与PM2.5或PM10等颗粒物浓度之间的转换关系,来实现对可吸入颗粒物的遥感监测。AOD定义为介质的消光系数在垂直方向上的积分,用作描述气溶胶对光的衰减作用。Chu等[1]利用MODIS Level 2产品气溶胶光学厚度的数据,研究了全球、区域和局地大气污染状况,证实了用气溶胶光学厚度监测大气污染的可行性。Engel-Cox等[2]利用 MODIS 2002 年3—9月的AOD数据定量分析,发现卫星遥感资料与地面污染物质量浓度在美国东部和中西部地区具有较高的相关性,并且指出卫星数据在区域尺度的空气质量监测方面有重要的应用潜力。李成才等[3-4] 利用暗目标法反演了北京和香港地区1 km气溶胶光学厚度,证实高分辨率遥感产品在研究城市大气污染,尤其是在监测污染源的宏观分布方面具有潜在的应用价值。由于AOD瞬时遥感反演产品,即二级条带产品,受天气状况、反演算法等多种因素影响,存在严重的时空不连续性,在实际使用时需要进行复杂的专业处理,影响了数据产品的应用,尤其是在非遥感专业用户群中的应用。NASA研发的GIOVANNI[5-6](GES-DISC interactive online visualization and analysis infrastructure,GIOVANNI)平台是一个基于Web服务和工作流的数据可视化与分析在线系统,可以在浏览器中通过简便的操作完成复杂的数据处理工作。Acker等[7]基于GIOVANNI平台以天气与流感的联系为例开展了地域性空间公共卫生领域的研究与应用; Zubko等[8]开展了基于GIOVANNI平台的MODIS Terra 和Aqua每日气溶胶数据的融合和插补方法的研究; Prados等[9]介绍了由GIOVANNI平台取得的遥感数据的入口、可视化和互操作性; 赵洁心等[10]基于GIOVANNI对江浙沪地区的AOD时空格局进行了分析,并同时验证了利用GIOVANNI数据资源进行分析的可行性。总体来说,GIOVANNI平台在国外空气质量等研究中得到了广泛应用,但在国内尚未普及。; 本文利用GIOVANNI平台,开展了2000—2014年15 a间,北京、上海、广州3个典型特大城市地区与西部非城市地区的AOD对比分析,探索该平台长时间序列数据在我国不同地区的应用。 |
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Issue Date: 15 August 2017
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2017,
Vol. 29
