引用本文:白莹莹, 张德军, 杨世琦, 王永前, 刘川.川渝地区雾霾时空分布特征及影响因子分析[J].西南师范大学学报(自然科学版),2018,43(11):112~119
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川渝地区雾霾时空分布特征及影响因子分析
白莹莹, 张德军, 杨世琦, 王永前, 刘川1,2,3
1. 重庆市气候中心, 重庆 401147;2.
2. 成都信息工程大学 资源环境学院, 成都 610225;3.
3. 重庆市气象科学研究所, 重庆 401147
摘要:
利用1981-2014年川渝地面气象观测资料,分析了川渝地区雾霾的时空分布特征及影响因子,结果表明:川渝地区雾日变化总体呈下降趋势,两种雾日观测资料的倾向率分别为-6 d/10 a和-8.2 d/10 a,研究时段内未出现突变点,80年代到90年代初,雾日变化周期以2~4 a为主,21世纪后以8~10 a为主.霾日总体趋势与雾日变化相反,呈上升趋势,倾向率为8.2 d/10 a,1997年开始发生突变,90年代变化周期以2~4 a为主,2000年后4~10 a周期变化较显著.在对雾霾与风速和空气相对湿度的关系讨论中发现,整个川渝地区雾与风速的变化趋势一致,与相对湿度呈正相关;霾与风速的变化趋势相反,与相对湿度呈负相关.
关键词:      时空分布  影响因子
DOI:10.13718/j.cnki.xsxb.2018.11.018
分类号:X513
基金项目:国家自然科学基金项目(41471305);重庆市科委社会与民生创新专项项目(cstc2017shmsA20012);中国气象局预报预测核心业务发展专项项目(CMAHX20160406);重庆市气象局开放基金资助项目(kfjj-201402);四川省教育厅创新团队资助项目(16TD0024).
Spatial and Temporal Distribution Characteristics and Influencing Factors Analysis of Smog in Sichuan-Chongqing
BAI Ying-ying, ZHANG De-jun, YANG Shi-qi, WANG Yong-qian, LIU Chuan1,2,3
1. Chongqing Climate Center, Chongqing 401147, China;2.
2. College of Environmental and Resource Science, Chengdu University of Information Technology, Chengdu 610225, China;3.
3. Chongqing Institute of Meteorological Sciences, Chongqing, 401147, China
Abstract:
The temporal and spatial distributions and long-term variation characteristics of haze were obtained for the Sichuan-Chongqing region from 1981 to 2014 by studying surface meteorological data and using the climatic statistic method. Simultaneously, the Mann-Kendall method and the Morlet wavelet analysis were used to discuss the changing trend, the change point and time period. The results show that fog days in Sichuan-Chongqing showed a downward trend, the propensity rates of two observations are -6days/10a and -8.2days/10a, respectively, the trend factors are 0.798 and 0.864, no mutation occurred during the study period. From the 1980s to the early 1990s, the main change cycle of fog days is 2 to 4 years, and after the 21st century, the main change cycle of fog days is 8 to10 years. On the contrary, the changing trend of haze days is on the rise, the propensity rates of observation is 8.2d/10a, the trend factor is 0.754, the trend of change occurred in 1997, the main change cycle of haze days is 2 to 4 yeas in 90s, and after the 21st century, the main change cycle of haze days is 4 to10 years. In discussion of the relationships between fog, haze and meteorological factors, it has been found that the trend of fog and wind speed is consistent and positively correlated with relative humidity in the whole research area, that the trend of haze and wind speed is opposite, and that it is negatively correlated with relative humidity, when considering only a single site, the results are inconsistent across site.
Key words:  fog  haze  the temporal and spatial distributions  impact factor
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