Temporal and Spatial Variations of PM2.5 in Hangzhou Region in 2015

doi:10.13474/j.cnki.11-2246.2016.0370

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CLC Number:

P237

NIE Chenhui, PAN Xiaojun, JIN Hongfang. Temporal and Spatial Variations of PM_2.5 in Hangzhou Region in 2015[J]. 测绘通报, 2016, 0(11): 75-79.

[1] 方冬青, 魏永杰, 黄伟, 等. 北京市2014年10月重霾污染特征及有机碳来源解析[J].环境科学研究,2016,29(1):12-19.
[2] 宋晓晖,毕晓辉,吴建会, 等. 杭州市空气颗粒物污染特征及变化规律研究[J].环境污染与防治,2012,34(7):60-63.
[3] 包贞,冯银厂,焦荔,等. 杭州市大气PM_2.5和PM₁₀污染特征及来源解析[J].中国环境监测,2010,26(2):44-48.
[4] 肖文丰,杨焕强,周斌,等. 2011-2014年杭州市大气PM_2.5质量浓度变化特征分析[J].杭州师范大学学报(自然科学版),2016,15(2):214-219.
[5] 沈霖,陈能.基于WebGIS的PM_2.5及空气质量信息的发布与共享[J].测绘通报,2012(S1):772.
[6] 陈年松.基于"天地图"的江苏省城市空气质量PM_2.5监测数据平台的设计与实现[J].测绘与空间地理信息,2014,37(2):116-120.
[7] 亢红霞,那晓东,臧淑英. 基于卫星遥感数据(AOT)估算PM_{2. 5}的研究进展[J]. 环境科学与管理,2016,41(2):30-34.
[8] KAUFMAN Y J,TANRÉ D,REMER L A,et al. Operational Remote Sensing of Tropospheric Aerosol over Land from EOS-MODIS[J]. Journal of Geophysical Research,1997,102(D14):17051-17067.
[9] HSU C N, TSAY S C, KING M D,et al. Deep Blue Retrievals of Asian Aerosol Properties during ACE-Asia[J].IEEE Transactions Geoscience and Remote Sensing,2006,44(11):3180-3195.
[10] LEVY R C, REMER L A, KLEIDMAN R G. Global Evaluation of the Collection 5 MODIS Dark-target Aerosol Products over Land[J]. Atmospheric Chemistry & Physics, 2010(10):10399-10420.
[11] 陶金花,张美根,陈良富,等. 一种基于卫星遥感AOT估算近地面颗粒物的方法[J]. 中国科学(地球科学),2013(43):143-154.
[12] 徐希孺.遥感物理[M].北京:北京大学出版社, 2005:298-299.
[13] WANG Z F,CHEN L F, TAO J H, et al. Satellite-based Estimation of Regional Particulate Matter (PM) in Beijing Using Vertical-and-RH Correcting Method[J]. Remote Sensing of Environment,2010,114(1):50-63.
[14] 刘北平.确定大气混合层高度方法的研究[J]. 环境科学研究,1990,3(1):8-12.
[15] 陈建文, 胡琳, 王娟敏, 等. 陕西省混合层高度变化规律研究[J].水土保持研究, 2014,21(5):322-331.
[16] 国家技术监督局,国家环境保护局. 制定地方大气污染物排放标准的技术方法:GB/T 3840-1991[S]. 北京:中国标准出版社,1992.

Temporal and Spatial Variations of PM_2.5 in Hangzhou Region in 2015

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