朱于红,张自力,田平,于海燕,邓劲松,胡尊英,田光明.基于卫星遥感的浙北平原气溶胶光学特性长期变化分析[J].环境科学学报,2015,35(2):352-362
基于卫星遥感的浙北平原气溶胶光学特性长期变化分析
- Satellite-based long-term trends analysis in aerosol optical properties over the plain areas of north Zhejiang Province
- 基金项目:全国生态环境十年变化(2000-2010年)遥感调查与评估项目(No.STSN-05-11);国家自然科学基金(No.41301494);浙江省重大科技专项(No.2012C13011-2);环保部环保公益项目(No.201309011)
- 朱于红
- 浙江大学环境与资源学院环境生态工程研究所, 杭州 310058
- 田平
- 浙江大学环境与资源学院环境生态工程研究所, 杭州 310058
- 邓劲松
- 浙江大学农业遥感信息技术应用研究所, 杭州 310058
- 田光明
- 浙江大学环境与资源学院环境生态工程研究所, 杭州 310058
- 摘要:利用MOD04 C051气溶胶产品,以浙江北部平原为主要研究区,开展区域气溶胶光学特性长期(2000年3月-2013年12月)变化分析.长期逐月时间序列显示,区域气溶胶光学特性具有年内周期性变化规律,AOD(Aerosol Optical Depth)峰值多出现在5月或6月;Angstrom Exponent(α指数)峰值多出现在3月或4月.在空间分布上,研究区中部地区气溶胶污染较重且粗粒子成分较高.研究区气溶胶光学特性长期变化特征主要体现在:1气溶胶污染总体减轻但细粒子成分增加,复合污染加重;2008年以来区域AOD年均值总体呈下降趋势;2007-2013年α指数年均值显著高于2000-2006年;区域α指数月均值增长趋势显著,近14年的总倾向率为0.125(p<0.05);2AOD和α指数的季节差异呈减小趋势,AOD的季节变化规律由2000年的春 >夏≈冬 >秋转变为2013年的春 >冬 >秋≥夏;α指数虽仍以夏秋季高于冬春季,但春秋两季α指数相对增大;3以污染较轻的湖州市和污染较重的嘉兴市为例的原因分析显示,AOD变化与SO2排放量具有一定相关性,α指数变化与民用汽车拥有量变化趋势一致,相关性较高.
- Abstract:Long-term trends in aerosol optical properties over the plain areas of north Zhejiang Province from Mar. 2000 through Dec. 2013 were analyzed using MOD04 C051 aerosol product. The monthly time series showed a periodic variation about the AOD (Aerosol Optical Depth) and Angstrom Exponent (α), and the peak values usually appeared in May/June and March/April, respectively. For the spatial distribution, aerosol pollution was more significant in the central part of the research area where AOD and coarse-mode fraction were higher than those of the surrounding area. The long-term trends of the aerosol optical properties showed as follows: 1 In general, the regional aerosol pollution was improved except for the increase of fine-mode fraction which had a great contribution to the pollution episodes. The annual mean of regional AOD had declined since 2008, and annual mean of α during 2007-2013 were significantly greater than during 2000-2006. The total tendency of monthly mean α during nearly 14 years was 0.125 (p<0.05). 2 Gap between seasonal AOD narrowed, as well as seasonal α. Seasonal variation transformed from spring >summer≈winter >autumn to spring >winter >autumn≥summer for AOD, and α during summer and autumn relatively increased although α during summer and autumn were higher than those during winter and spring over the years. 3 As representatives of slightly and heavily polluted city respectively, cause analysis in Huzhou and Jiaxing showed that AOD was related to SO2 emission while α had high correlation with household vehicle ownership.
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