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中国沙漠 ›› 2014, Vol. 34 ›› Issue (4): 1102-1108.DOI: 10.7522/j.issn.1000-694X.2013.00317

• 天气与气候 • 上一篇    下一篇

1960-2012年河西走廊中部沙尘暴空间分布特征和变化规律

刘洪兰1,2, 张强1, 张俊国3, 郭俊琴4, 王胜5   

  1. 1. 中国气象局兰州干旱气象研究所 甘肃省干旱气候变化与减灾重点实验室/中国气象局干旱气候变化与减灾重点开放实验室, 甘肃 兰州 730020;
    2. 张掖市气象局, 甘肃 张掖 734000;
    3. 张掖中学, 甘肃 张掖 734000;
    4. 西北区域气候中心, 甘肃 兰州 730020;
    5. 肃北县气象局, 甘肃 肃北 736300
  • 收稿日期:2013-08-09 修回日期:2013-09-22 出版日期:2014-07-20 发布日期:2014-07-20
  • 作者简介:刘洪兰(1968-),女,山东招远人,高级工程师,主要从事天气、气候变化和预测的业务和科研工作。Email:gszylhl@126.com;liuhl68@163.com
  • 基金资助:
    国家重点基础研究发展计划项目(2013CB430200,2013CB430206);甘肃省气象局第六批“十人计划”资助

Spatial Distribution and Variation of Sandstorms in the Central Hexi Corridor during 1960-2012

Liu Honglan1,2, Zhang Qiang1, Zhang Junguo3, Guo Junqin4, Wang Sheng5   

  1. 1. Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province/Key Open Laboratory of Arid Climate Change and Disaster Reduction of CMA, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;
    2. Zhangye Meteorological Bureau, Zhangye 734000, Gansu, China;
    3. Zhangye Middle School, Zhangye 734000, Gansu, China;
    4. Northwest Regional Climate Centre, Lanzhou 730020, China;
    5. Subei County Meteorological Bureau, Subei 736300, Gansu, China
  • Received:2013-08-09 Revised:2013-09-22 Online:2014-07-20 Published:2014-07-20

摘要: 利用6个常规气象站1960—2012年的沙尘暴观测资料,分析了河西走廊中部近53年沙尘暴日数的年代际、年际、季节、各月变化和空间分布,并用Mann-Kendall检验法检验河西走廊中部沙尘暴序列是否存在突变现象;在分析沙尘暴变化规律的基础上,建立了河西走廊中部沙尘暴日数的均生函数预测模型。结果表明:该地区1960—2012年的沙尘暴日数以11.75 d/10a的倾向率递减;20世纪60年代至80年代中期为沙尘暴多发期,进入80年代末沙尘暴日数开始明显下降;20世纪70年代最多,60年代次之,80年代到90年代中期逐渐递减,从1997年开始到2004年又处于逐渐上升的趋势,突出年份是2001年,此年共21 d发生了沙尘暴天气;20世纪80年代河西走廊中部沙尘暴日数有一明显减少的突变,具体时间是1983年。与沙尘暴日数相关性最强的是年平均气温,呈显著负相关,其次是春季平均气温、冬季蒸发量和春季蒸发量,有5个站点的沙尘暴日数与春季平均气温呈显著负相关、与冬季蒸发量和春季蒸发量呈显著正相关,有3个站点的沙尘暴日数与冬季平均气温和冬季降水量呈显著负相关。据预测,2013-2032年河西走廊中部沙尘暴日数将呈继续减少趋势。

关键词: 沙尘暴, 时空分布, 突变, 预测模型, 河西走廊中部

Abstract: Using the sandstorm days data from 6 meteorological stations in central Hexi Corridor from 1960 to 2012, the inter-decadal, inter-annual, seasonal, monthly variation and spatial variation of the sandstorm days were analyzed. Whether there were mutations in the sandstorm sequence was tested by Mann-Kendall test. A mean generating function model for the prediction of sandstorm days in central Hexi Corridor was established based on analysis of the change rule of sandstorms. The results showed that the sandstorm days in this area presented a decline tendency at a rate of 11.75 d/10a from 1960 to 2012. It was a high frequency period of sandstorms from 1960s to the mid-1980s. It began to decline obviously during the late 1980s. The first many sandstorm days were in 1970s, second in 1960s, and it began to decline gradually from 1980s to the mid-1990s, and then it showed an ascending tendency from 1997 to 2004. The outstanding year was 2001 and a total of sandstorm weather was 21 d in this year. The sandstorm days in central Hexi Corridor had an obviously reduced mutation since 1983. There was a significant negative correlation between the annual average temperature and sandstorm days. It was the most relevant one, followed by the spring average temperature, the winter evaporation and spring evaporation. 5 meteorological stations' sandstorm days was negatively correlated with the spring average temperature, and positively correlated with the winter evaporation and spring evaporation. 3 meteorological stations' sandstorm days was negatively correlated with the winter average temperature and winter precipitation. It was predicted that the sandstorm days will be in a decreasing trend in the next 20 years in central Hexi Corridor.

Key words: sandstorm, spatiotemporal distribution, mutation, forecast model, central Hexi Corridor

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