2001-2016年西南地区气溶胶光学厚度特征分析
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摘要
本文利用NASA发布的MODIS气溶胶光学厚度产品,对西南地区2001～2016年气溶胶光度厚度空间分布和时间演变特征进行了分析,研究发现:(1)西南地区年均气溶胶光学厚度空间分布特征整体表现为东部高于西部,海拔低的地区气溶胶光学厚度高于海拔高的地区。高值中心位于四川盆地南部,低值区位于川西高原和云南北部地区。(2)西南地区季节气溶胶光学厚度空间分布特征与年均相似。(3)就西南各地区而言,重庆气溶胶光学厚度最大,其次是四川盆地和贵州地区,再次是云南地区,川西高原地区气溶胶光学厚度最小。(4) 2001～2016年,西南地区年均气溶胶光学厚度呈显著减少趋势。夏季和秋季气溶胶光学厚度年际变化浮动较大,也具有显著的减少趋势。
In this paper,the spatial distribution and temporal change characteristics of aerosol optical thickness in Southwest China from 2001 to 2016 are analyzed by using MODIS aerosol optical thickness products formed by NASA. The results show that:(1) The performance of spatial distribution characteristics of annual average aerosol optical thickness is showed that aerosol optical thickness is higher in the east than in the west,and the aerosol optical thickness in low altitude is higher than that in the high altitude. The high value center is located in the southern part of the Sichuan basin,and the low value area is located in the western plateau and northern part of Yunnan.(2) The seasonal spatial distribution characteristics of aerosol optical thickness is similar to the annual characteristic.(3) In Southwest China,the aerosol optical thickness in Chongqing is the largest,followed by the Sichuan basin and Guizhou,and again in Yunnan. The aerosol optical thickness is the smallest in the western Plateau.(4) In Southwest China,,from 2001 to 2016,the annual aerosol optical thickness shows a significant decrease trend. The variation of aerosol optical thickness in summer and autumn greatly,and the aerosol optical thickness in summer and autumn show significant reduction trends.
In this paper,the spatial distribution and temporal change characteristics of aerosol optical thickness in Southwest China from 2001 to 2016 are analyzed by using MODIS aerosol optical thickness products formed by NASA. The results show that:(1) The performance of spatial distribution characteristics of annual average aerosol optical thickness is showed that aerosol optical thickness is higher in the east than in the west,and the aerosol optical thickness in low altitude is higher than that in the high altitude. The high value center is located in the southern part of the Sichuan basin,and the low value area is located in the western plateau and northern part of Yunnan.(2) The seasonal spatial distribution characteristics of aerosol optical thickness is similar to the annual characteristic.(3) In Southwest China,the aerosol optical thickness in Chongqing is the largest,followed by the Sichuan basin and Guizhou,and again in Yunnan. The aerosol optical thickness is the smallest in the western Plateau.(4) In Southwest China,,from 2001 to 2016,the annual aerosol optical thickness shows a significant decrease trend. The variation of aerosol optical thickness in summer and autumn greatly,and the aerosol optical thickness in summer and autumn show significant reduction trends.
引文
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[15]周秀骥,李维亮,罗云峰.中国地区大气气溶胶辐射强迫及区域气候效应的数值模拟[J].大气科学,1998,22(4):418-427
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[19]叶瑜,李秀央,陈坤,等.大气气溶胶光学厚度与大气污染物及气象因素关系的时间序列研究[J].气候与环境研究,2011,16(2):169-174
[20]李霞,任宜勇,吴彦,等.乌鲁木齐污染物浓度和大气气溶胶光学厚度的关系[J].高原气象,2007,26(3):541-546
[21]林丹,王维佳.西南地区空中云水量分布特征及变化趋势[J].成都信息工程学院学报,2014,29(1):110-116
[22]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,(4):17-20
[2]赵庆云,张武,王式功.空气污染与大气能见度及环流特征的研究[J].高原气象,2003,22(4):393-395
[3]赵秀娟,陈长和,袁铁,等.兰州冬季大气气溶胶光学厚度及其能见度的关系[J].高原气象,2005,24(4):617-622
[4]张明明,刘振波,葛运健.江苏省大气气溶胶光学厚度时空分布研究[J].长江流域资源与环境,2014,23(12):1775-1782
[5]谭浩波,吴兑,邓雪娇,等.珠江三角洲气溶胶光学厚度的观测研究[J].环境科学学报,2009,(6):1146-1155
[6]郑小波,周成霞,罗宇翔,等.中国各省区近10年遥感气溶胶光学厚度和变化[J].生态环境学报,2011,20(4):595-599
[7]唐信英,罗磊,金之川.青藏高原大气气溶胶研究进展[J].高原山地气象研究,2012,32(2):95-99
[8]刘璇,朱彬,关学锋,等.华东地区气溶胶分布和变化特征研究[J].沙漠与绿洲气象,2017,11(1):11-21
[9]吴蓬萍,周长春.四川盆地秋季气溶胶与云的相关分析[J].高原山地气象研究,2016,36(2):59-63
[10]徐晓,肖天贵,麻素红.西南地区气候季节划分及特征分析[J].高原山地气象研究,2010,30(1):35-40
[11]刘玉杰,牛生杰,郑友飞.用CE-318太阳光度计资料研究银川地区气溶胶光学厚度特性[J].南京气象学院学报,2004,27(5):615-622
[12]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
[13]赵仕伟,高晓清.利用MODISC6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(7):2637-2646
[14]肖钟湧,江洪,陈健,等.利用MODIS遥感数据反演广州市气溶胶光学厚度[J].中国环境科学,2010,30(5):577-584
[15]周秀骥,李维亮,罗云峰.中国地区大气气溶胶辐射强迫及区域气候效应的数值模拟[J].大气科学,1998,22(4):418-427
[16]刘培川,周书华,廖乾邑,等.基于激光雷达的成都市气溶胶光学厚度的时间变化特征研究[J].四川环境,2016,35(3):141-145
[17]魏丽,钟强,侯萍.中国大陆卫星反演云参数的评估[J].高原气象,1995,15(2):147-156
[18]Paciorek C J,Liu Y,Moreno-Macias H,et al. Spatiotemporal associations between GOES aerosol optical depth retrievals and ground-level PM2. 5[J]. Environ. Sci. Technol,2008,42(15):5800-5806
[19]叶瑜,李秀央,陈坤,等.大气气溶胶光学厚度与大气污染物及气象因素关系的时间序列研究[J].气候与环境研究,2011,16(2):169-174
[20]李霞,任宜勇,吴彦,等.乌鲁木齐污染物浓度和大气气溶胶光学厚度的关系[J].高原气象,2007,26(3):541-546
[21]林丹,王维佳.西南地区空中云水量分布特征及变化趋势[J].成都信息工程学院学报,2014,29(1):110-116
[22]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,(4):17-20