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基于V5.2算法的上海市气溶胶遥感图像分析研究

发布时间:2018-08-20 10:59
【摘要】:随着经济的不断发展,环境污染问题逐渐浮出水面,近十几年来,环境污染问题已经成为国际社会不可不提的重要课题,环境污染给人类生活与身心健康带来的危害也越来越严重,解决环境污染问题刻不容缓。 就中国本身而言,自改革开放以来,中国试图贯彻“可持续发展”的发展战略,但实际情况却并不十分理想,严重的环境问题是制约中国经济发展的重要因素,所以环境问题的监测与治理成为中国寻求发展道路上不可忽视的问题。相较国外而言,我国对环境污染的监测特别是大气污染的监测起步较晚,传统的监测站点和仪器已经不能满足现今大气污染的多变性,卫星遥感以其数据的广泛性、图像的稳定性和信息获取的快速性迅速成为大气污染监测的主要手段。我国风云1、2、3号卫星的成功发射以及后续资源卫星、气象卫星以及海洋卫星三大遥感卫星系列的成功组建也标志着我国在卫星遥感监测大气污染领域的努力和成就。 本文选取上海市为研究源,运用V5.2算法和6S传输模型作为研究方法同时结合MODIS L1B数据对上海市气溶胶卫星遥感图像进行反演,对上海市气溶胶光学厚度进行研究。 首先,本文将会从MODIS L1B数据的组成与结构进行分析,阐述卫星遥感气溶胶光学厚度的数据来源,并简要介绍6S传输模型的形成机理,同时对V5.2算法进行简单阐述,为后续研究提供背景和数据支持。 其次,本文将会从上海市气溶胶光学厚度反演的可行性进行实验分析,,实验会选取2010-2011年内的八天作为研究数据源,对其进行AOD反演,并将反演值与AERONET观测值做出对比。从精确度上分析反演的可行性。 最后,本文将会在可行性存在的情况下,选取上海市周边城市作为对比数据源进行气溶胶光学厚度反演,并结合反演值阐述上海市气溶胶浓度空间相关性。
[Abstract]:With the continuous development of economy, the problem of environmental pollution has gradually surfaced. In the past ten years, the problem of environmental pollution has become an important topic that must be raised by the international community. Environmental pollution brings more and more serious harm to human life and physical and mental health, so it is urgent to solve the problem of environmental pollution. As far as China itself is concerned, since the beginning of reform and opening up, China has tried to implement the development strategy of "sustainable development," but the actual situation is not very satisfactory. Serious environmental problems are important factors restricting China's economic development. Therefore, the monitoring and management of environmental problems has become a problem that can not be ignored on the road of China's development. Compared with foreign countries, the monitoring of environmental pollution in China, especially the monitoring of air pollution, started late, the traditional monitoring stations and instruments can no longer meet the variability of air pollution, satellite remote sensing data are extensive. The stability of images and the rapidity of information acquisition have become the main means of air pollution monitoring. The successful launch of Fengyun 1 / 2 and 3 satellites and the successful establishment of three series of remote sensing satellites such as the following resource satellites meteorological satellites and marine satellites also marks the efforts and achievements of our country in the field of satellite remote sensing monitoring of atmospheric pollution. In this paper, using V5.2 algorithm and 6S transmission model as the research method, Shanghai aerosol satellite remote sensing image is retrieved with MODIS L1B data, and the aerosol optical thickness in Shanghai is studied. First of all, this paper will analyze the composition and structure of MODIS L1B data, explain the data source of satellite remote sensing aerosol optical thickness, and briefly introduce the formation mechanism of 6S transmission model, and the V5.2 algorithm. To provide background and data support for follow-up research. Secondly, the feasibility of aerosol optical thickness inversion in Shanghai will be analyzed experimentally. Eight days from 2010 to 2011 will be selected as the data source for AOD inversion, and the inversion values will be compared with AERONET observations. The feasibility of inversion is analyzed in terms of accuracy. Finally, under the condition of the feasibility, the aerosol optical thickness inversion will be carried out by selecting the surrounding cities of Shanghai as the contrast data source, and the spatial correlation of aerosol concentration in Shanghai will be expounded in combination with the inversion value.
【学位授予单位】:上海大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TP751

【参考文献】

相关期刊论文 前10条

1 饶玫瑰;苗放;叶成名;董智慧;;6S模型在成都平原气溶胶光学厚度反演中的应用研究[J];长江大学学报(自然科学版);2011年08期

2 李成才,毛节泰,刘启汉,刘晓阳,刘桂青,朱爱华;利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J];大气科学;2003年05期

3 任佳;王振会;孙林;胡方超;高扬;;基于MODIS数据反演江浙皖地区气溶胶光学厚度[J];环境科学与技术;2010年08期

4 张莉,曾致远;基于HDF4文件格式的MODIS 1B影像数据提取的研究与实现[J];国土资源遥感;2004年04期

5 许军强;刘嘉宜;邢立新;孙珂;;长春市热岛效应的时空演变研究[J];环境保护科学;2007年03期

6 王丽娟,景耀全;浅谈遥感技术在大气监测中的应用[J];环境技术;2005年01期

7 杨敏娟;潘小川;;北京市大气污染与居民心脑血管疾病死亡的时间序列分析[J];环境与健康杂志;2008年04期

8 王惠,谭兵,沈志云;多源遥感影像的去云层处理[J];测绘学院学报;2001年03期

9 赵柏林,俞小鼎;海洋大气气溶胶光学厚度的卫星遥感研究[J];科学通报;1986年21期

10 王新强,杨世植,朱永豪,易维宁;基于6S模型从MODIS图像反演陆地上空大气气溶胶光学厚度[J];量子电子学报;2003年05期



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