基于聚类分析的气溶胶光学厚度时间变化特征研究
[1] 章澄昌,周文贤.大气气溶胶教程[M].北京:气象出版社, 1995.
Zhang C C, Zhou W X. Atmospheric Aerosol Tutorial[M]. Beijing: China Meteorological Press, 1995(in Chinese).
[2] 张 华,黄建平.对IPCC第五次评估报告关于人为和自然辐射强迫的解读[J].气候变化研究进展, 2014, 10(1): 40-44.
Zhang H, Huang J P.Interpretation of the IPCC Fifth assessment report on anthropogenic and natural radiative forcing[J]. Progressus Inquisitiones De Mutatione Climatis, 2014, 10(1): 40-44(in Chinese).
[3] Ramachandran S.Aerosol optical depth and fine mode fraction variations deduced from moderate resolution imaging spectroradiometer (MODIS) over four urban areas in India[J]. Journal of Geophysical Research, 2007, 112(D16): D16207.
[4] 赵仕伟,高晓清.利用MODIS C6数据分析中国西北地区气溶胶光学厚度时空变化特征[J].环境科学, 2017, 38(07): 2637-2646.
Zhao S W, Gao X Q. Analysis ofspatio-temporal distribution and variation characteristics of aerosol Optical Depth over the Northwest of China by MODIS C6 Product[J]. Environmental Science, 2017, 38(7):2637-2646(in Chinese).
[5] 邓学良,邓伟涛,何冬燕.近年来华东地区大气气溶胶的时空特征[J].大气科学学报, 2010, 33(03): 347-354.
Deng X L, Deng W T, He D Y. Spatial-temporal features of atmospheric aerosol in east china in recent years[J].Transactions of Atmospheric Sciences, 2010, 33(03): 347-354(in Chinese).
[6] 白淑英,史建桥,卜 军,等.近年来长江流域气溶胶光学厚度时空变化特征分析[J].生态环境学报, 2012, 21(09): 1567-1573.
Bai S Y, Shi J Q, Pu J,et al. Spatio-temporal variations of aerosol optical depth in the Yangtze River Basin during 2000-2011[J], Ecology and Environmental Sciences, 2012, 21(09): 1567-1573(in Chinese).
[7] 刘 状,孙曦亮,刘丹等.2001-2017年中国北方省份气溶胶光学厚度的时空特征[J].环境科学学报, 2018, 38(08): 3177-3184.
Liu Z, Sun X L, Liu D,et al. Spatio-temporal characteristics of aerosol optical depth over Beijing-Tianjin Hebei-Shandong-Henan-Shanxi-Shaanxi region during 2001-2017[J]. Acta Scientiae Circumstantiae, 2018,38(08): 3177-3184(in Chinese).
[8] 李晓静,高 玲,张兴赢,等.卫星遥感监测全球大气气溶胶光学厚度变化[J].科技导报, 2015, 33(17): 30-40.
Li X J, Gao L, Zhang X Y, et al. Global change of aerosol optical depth based on satellite remote sensing data[J]. Science & Technology Review, 2015, 33(17): 30-40(in Chinese).
[9] 张西雅,扈海波.京津冀地区气溶胶时空分布及与城市化关系的研究[J].大气科学, 2017, 41(04): 797-810.
Zhang X Y, Hu H B.Spatio-temporal characteristics of aerosol optical depth and their relationship with urbanization over Beijing-Tianjin-Hebei region[J]. Chinese Journal of Atmospheric Sciences, 2017, 41(4): 797-810(in Chinese).
[10] 薛文博,武卫玲,王金南,等.中国气溶胶光学厚度时空演变特征分析[J].环境与可持续发展, 2013, 38(04): 17-20.
Xue W B, Wu W L, Wang J N,et al. Analysis on space-time characteristics of aerosol optical depthin china[J]. Environment and Sustainable Development, 2013, 38(04): 17-20(in Chinese).
[11] Levy R C, Mattoo S, Munchak L A, et al. The collection 6 MODIS aerosol products over land and ocean[J]. Atmospheric Measurement Techniques, 2013, 6(11): 2989-3034.
[12] Hsu N C,Jeong M J, Bettenhausen C, et al. Enhanced deep blue aerosol retrieval algorithm:the second generation[J]. Journal of Geophysical Research: Atmospheres, 2013, 118(16): 9296-9315.
[13] Remer L A,Mattoo S, Levy R C, et al. MODIS 3 km aerosol product: algorithm and global perspective[J]. Atmospheric Measurement Techniques, 2013, 6(1): 69-112.
[14] Wu D,Hou Y T, Zhang Y Q. Transporting real-time video over the intemet challenges and approaches[J]. Proceeding of the IEEE, 2000, 88(12): 1855-1875.
[15] 周世兵,徐振源,唐旭清.新的K-均值算法最佳聚类数确定方法[J].计算机工程与应用, 2010, 46(16): 27-31.
Zhou S B, Xu Z Y, Tang X Q. New method for determining optimal number of clusters in K-means clustering algorithm[J]. Computer Engineering and Applications, 2010, 46(16): 27-31(in Chinese).
[16] 张文君,顾行发,陈良富,等.基于均值-标准差的K均值初始聚类中心选取算法[J].遥感学报, 2006, (05): 715-721.
Zhang W J, Gu X F, Chen L F, et al. An algorithm for initilizing of K-means clustering based on mean-standard deviation[J]. Journal of Remote Sensing, 2006, (05): 715-721(in Chinese).
刘状, 石晨烈, 张萌, 高志远, 祝新明, 王旭红. 基于聚类分析的气溶胶光学厚度时间变化特征研究[J]. 大气与环境光学学报, 2019, 14(6): 411. LIU Zhuang, SHI Chenlie, ZHANG Meng, GAO Zhiyuan, ZHUXinming, WANG Xuhong. Temporal Characteristics of Aerosol Optical Depth Based on Cluster Analysis Method[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(6): 411.