祁连山海北高寒草甸紫外辐射与气象要素的关系
Study on the UV-A and UV-B Changes and Their Correlations with Meteorological Factors in the Haibei Alpine Meadow in the Qilian Mountains
查看参考文献11篇
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文摘
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分析2003年祁连山海北高寒草甸地区UV—A，UV-B变化特征，以及与气象要素的相关性，并依有关要素模拟计算了UV—A，UV—B。结果表明：UV—A，UV—B日、年变化明显，年内6月达最高，12月最低。UV-A，UV-B年总量分别为138.11，35.14MJ／m^2。UV—A，UV—B占DR的比例也有明显的日、年变化，中午前后（夏季）高。早晚（冷季）低，年内分别为2.17％，0.54％。UV—A，UV-B与诸多的气象因子具有一定的显著性相关，但不能说明这些气象因子与UV有直接的影响作用，事实上是受DR影响的结果。采用DR，5cm土壤温度为预报因子，建立影响UV-A，1IV-B的旬相关模拟方程，且有极显著的二元线性回归检验水平。 |
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其他语种文摘
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Based on the one-year data observed in the Haibei alpine meadow in the Qilian Mountains located in northeast of the Qinghai-Tibetan Plateau, in this study the UV-A and UV-B changes and their correlations with meteorological factors are analyzed, and the UV-A and UV-B are modeled using the data of some meteorological factors. The results reveal that the UV-A and UV-B changes are significant, their maximum and minimum values occur in June and December, and their accumulative sums are 138.11 MJ/m^2 and 35.14 MJ/m^2, respectively. There are also the significant daily and annual changes of the ratios of UV-A and UV-B in DR （ direct radiation）. In daily change, their ratios are the highest at noon and decrease to their minimum values in early morning and at night. In annual change, their maximum and minimum values occur in summer and winter, and their annual mean values are 2.17% and O. 54% , respectively. There are the significant correlations between the UV-A and UV-B and many meteorological factors, but it can not be considered that these factors affect directly the UV-A and UV-B. According to the factors affecting DR, soil temperature at 5 cm in depth can be regarded as a prediction factor to develop the ten-day correlative simulation equation affecting UV-A and UV-B, which is very significant at the level of dual linear regression. |
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来源
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干旱区研究
,2008,25(2):266-272 【核心库】
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关键词
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高寒草甸
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紫外辐射
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气象要素
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相关分析
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祁连山
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地址
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1.
中国科学院西北高原生物研究所, 青海, 西宁, 810001
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日本农业环境技术研究所, 日本
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日本国立环境研究所, 日本
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1001-4675 |
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学科
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大气科学(气象学) |
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基金
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中国科学院知识创新工程西部行动计划项目
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中日合作＂温暖化影响的早期监测网络系统建设＂项目
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文献收藏号
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CSCD:3221665
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