Analysis of Plateau Slope Backflow Fog’s Climate Characteristics and Influencing Factors in Qingyang

Zhang Hongfen,,Lu Yaqi,Yang Lijie and Jiao Meiling

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Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (24) : 222-227. DOI: 10.11924/j.issn.1000-6850.casb14120092

Analysis of Plateau Slope Backflow Fog’s Climate Characteristics and Influencing Factors in Qingyang

  • Zhang Hongfen, Lu Yaqi, Yang Lijie, Jiao Meiling
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Abstract

In order to reveal the developmental mechanism of fog in Qingyang, and further improve the forecast accuracy of fog, using the fog data of Qingyang City from 2007 to 2013, the author analyzed its climate characteristics and influencing factors. The results were as follows: the fog in Qingyang was mostly caused by backflow, and mostly occurred in Ningxian of southeastern Qingyang, the optimum season for fog occurrence was summer and autumn, mainly from July to November. Qingyang’s fog had the characteristics of continuity, sustainability, and was more local and less regional. The time of the fog’s occurrence and lift in spring and summer was different from those in autumn and winter. Humidity was the decisive factor, the temperature and fog had weakly negative correlation. Fog occurred on the ground by weak south wind (wind speed≤4 m/s), and had a certain vertical wind shear. On the ground form field, Qingyang’s fog occurred in a stable, weak or degenerative high-pressure situation, so it had the characteristic of plateau slope backflow fog.

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plateau slope backflow fog; climatic characteristics; influencing factors

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Zhang Hongfen,,Lu Yaqi,Yang Lijie and Jiao Meiling. Analysis of Plateau Slope Backflow Fog’s Climate Characteristics and Influencing Factors in Qingyang. Chinese Agricultural Science Bulletin. 2015, 31(24): 222-227 https://doi.org/10.11924/j.issn.1000-6850.casb14120092

References

[1] 中央气象局.地面气象观测规范[M].北京:气象出版社,1979:1-27.
[2] 刘小宁,张洪政,李庆祥,等.我国大雾的气候特征及变化初步解释[J].应用气象学报,2005,16:220-229.
[3] 曹伟华,李青春.北京地区雾霾气候特征及影响因子分析[A].中国灾害防御协会风险分析专业委员会.风险分析和危机反应的创新理论和方法——中国灾害防御协会风险分析专业委员会第五届年会论文集[C].中国灾害防御协会风险分析专业委员会,2012:7
[4] 周丽娜,孟振雄,孔令军,等.辽西沿海地区大雾的形成及气候特征[J].安徽农学通报,2013,19(17): 123-124,136.
[5] 张智华,李延江,薛雪.渤海西部局地大雾变化趋势及成因分析[J].中国环境管理干部学院学报,2013,23(4):26-29.
[6] 李建科,贺皓,王武功,等.西安大雾气候特征及成因分析[J].陕西气象,2008(3):27-29.
[7] 焦海恋,倪洪波,刘虎,等.阎良机场雾的特征及发生的气象条件[J].陕西气象,2012(5):18-22.
[8] 李建科,王莹,胡浩,等.陕西省雾的趋势变化特征研究[J].陕西气象,2011(3):26-28.
[9] 曹伟华,梁旭东,李青春.北京一次持续性雾霾过程的阶段性特征及影响因子分析[J].气象学报,2013,5:940-951.
[10] 张人禾,李强,张若楠.2013年1月中国东部持续性强雾霾天气产生的气象条件分析[J].中国科学:地球科学,2014,1:27-36.
[11] 欧桂兰,赵凌芳,王锡东.海口美兰机场冬季一场大雾的机理分析[J].气象研究与应用,2013,34(A1):101-102.
[12] 刘蕾.柳州市一次连续性大雾过程分析[J].气象研究与应用,2013, 34(A1):73-75.
[13] 杨洁,刘峰,曹正.一次华南静止锋影响下的中南地区大雾特征分析[J].气象研究与应用,2013,34(A1):96-97.
[14] 郑丽杰,司林青.2012年10月24—25日哈尔滨机场大雾天气过程诊断分析[J].黑龙江科技信息,2013(19):100-103.
[15] 万瑜,曹兴,窦新英,等.2011年12月乌鲁木齐市一次大雾天气成因[J].干旱气象.2013,31(2).383-389.
[16] 黄远盼,邹哲馨,欧徽宁,等.贺州市一次冬季大雾天气过程诊断分析[J].气象研究与应用.2013,34(A1):63-64.
[17] 赵桂香,杜莉,卫丽萍,等.一次持续性区域雾霾天气的综合分析[J].干旱区研究,2011,5:871-878.
[18] 潘本锋,汪巍,李亮,等.我国大中型城市秋冬季节雾霾天气污染特征与成因分析[J].环境与可持续发展,2013,1:33-36.
[19] 廖晓农,张小玲,王迎春,等.北京地区冬夏季持续性雾-霾发生的环境气象条件对比分析[J].环境科学,2014,06:2031-2044.
[20] 孟晓艳,余予,张志富,等.2013年1月京津冀地区强雾霾频发成因初探[J].环境科学与技术,2014,01:190-194.
[21] 郑峰,颜琼丹,吴贤笃,等.温州地区雾霾气候特征及其预报[J].气象科技,2011,6:791-795.
[22] 吴庆梅,张胜军.一次雾霾天气过程的污染影响因子分析[J].气象与环境科学,2010,1:12-16.
[23] Mikio N. Large—eddy simulation radiation fog.Japan Weather Association, Toshima Boundary-Layer Meteorology(Impact Factor: 2.53). 02/2000; 94(3):461-493.
[24] 邓小丽,林杨.西安地区大雾天气的分析与预报[J].陕西气象,2013(4):21-24.
[25] 单兴佑.恩施山区雾的天气气候特征及预报方法研究[D].南京:南京信息工程大学,2011.
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