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阴山北部农牧交错带沙尘暴特性分析 被引量:23

Characteristic Analysis on Sand-Storm in Farming-Pastoral Ecotone of the North of Mount Yin
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摘要 以内蒙古自治区阴山北部农牧交错带 30年 ( 1971~ 2 0 0 0年 )气象资料为基础 ,运用随机统计理论 ,探讨阴山北部沙尘暴、沙尘天气与降水量、地温、大风等因素的相关关系初步分析了内蒙古自治区阴山北部沙尘暴的成因与自然气候因素的相关关系。结果表明 :干旱、地温快速回升与大风在时间上的一致性 ,是阴山北部农牧交错带发生沙尘暴的主要原因 ;每年 4月到 5月的平均降水量是年均降水量的 11.2 % ,大风日数为全年的 4 1.8% ,这一时段地温的月平均上升幅度为 8.5℃ ,而沙尘暴发生日数占全年的 85 .7% ;同时沙尘暴的发生日数与大风日数呈正相关 ,与降水量呈负相关 ,与地温呈正相关。通过对上述内容的分析讨论 。 Based on the three decade (1971~2000) meteorological data of the farming pastoral ecotone in the North of Mount Yin of Inner Mongolia, With the aid of theory of random statistics ,This paper made a preliminary study on the corelationship between sand storm and rainfall?ground temperature?high wind in the north of Mount Yin of Inner Mongolia ,At the same time, it also made a preliminary analysis on the corelationship between the genesis of sand storm weather and nature climate.The result reveal: the simultaneous appearance and common action of dryness?rapid rise of ground temperature and high wind is the main reason leading to sandstorms weather in farming pastoral ecotone of the north side of the Mount Yin.Monthly mean amounts of rainfall of April and May amounts to 11.2 percent of the annual mean rainfall ;monthly mean high wind days comes up to 41.8 percent of the annual mean days of high wind in the same period; besides ,the raried range of ground temperature is 8.5℃ in this period(April to May) .At the same time , in this period sandstorm days comes up to 85.7 percent of the annual mean days of sandstorms .Days of sandstorms represents a direct corelationship with high wind days and ground temperature during in the same period ,and a inverse corelationship with the amounts of rainfall.this paper through discuss the contents mentioned above ,in order to reveal the formation and varied regulation of sand storm.
出处 《干旱区地理》 CSCD 北大核心 2003年第4期345-348,共4页 Arid Land Geography
基金 国家自然科学基金资助项目 (10 2 62 0 0 1) 科技部重大基础研究前期研究专项项目(2 0 0 2ccc0 3 40 0 )
关键词 沙尘暴 降水量 地温 大风 阴山北部 sand storm rainfall ground temperature high wind corelationship
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