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江西省云水资源特征分析
引用本文:李玉林,吴万友,蔡定军,黄小晃,李德俊,胡宏贵.江西省云水资源特征分析[J].气象科技,2010,38(5):613-619.
作者姓名:李玉林  吴万友  蔡定军  黄小晃  李德俊  胡宏贵
作者单位:1. 江西省人工影响天气办公室,南昌,330046
2. 江西省庐山气象台,九江,330900
基金项目:江西省气象重点科研项目基金 
摘    要:利用江西周边11个探空站资料与江西省内84个站1959—2007年降水资料,根据天气学原理和数理统计学方法,对江西省大气中总水汽量、总云水量、水汽交换次数、水汽更新率、实际总降水量等进行计算分析。结果表明:总水汽量、总云水量最大值均出现在6月(1975年),最小值出现在12月(1963年);中度干旱频率区域总云水量值最大,轻度干旱频率区域总云水量值最小;水汽交换次数平均为7.23次/月;水汽更新率平均4.22天/次;总水汽量、总云水量的地理分布呈北部高、南部低趋势分布;总水汽量、总云水量、总降水量相关性比较好,年变化呈现多峰型。

关 键 词:云水资源  分布特征  相关分析
收稿时间:2009/7/10 0:00:00
修稿时间:2010/6/24 0:00:00

Characteristic Analysis of Cloud Water Resources over Jiangxi Province
Li Yulin,Wu Wanyu,Cai Dingjun,Huang Xiaohuang,Li Dejun and Hu Honggui.Characteristic Analysis of Cloud Water Resources over Jiangxi Province[J].Meteorological Science and Technology,2010,38(5):613-619.
Authors:Li Yulin  Wu Wanyu  Cai Dingjun  Huang Xiaohuang  Li Dejun and Hu Honggui
Institution:Jiangxi Provincial Weather Modification Office. Nanchang 330046;Jiangxi Provincial Weather Modification Office. Nanchang 330046;Jiangxi Provincial Weather Modification Office. Nanchang 330046;Jiangxi Provincial Weather Modification Office. Nanchang 330046;Jiangxi Provincial Weather Modification Office. Nanchang 330046;Lushan Meteorological Office, Jiangxi Province, Lushan 330900
Abstract:Using the radiosonde data from 11 meteorological stations and precipitation data from 84 meteorological stations over Jiangxi Province from 1959 to 2007, according to the synoptic meteorological principles, computation and analysis are conducted with the mathematical statistic method on the total water vapor, total cloud water, the number of water vapor exchanges, water vapor turnover rate, actual total precipitation, etc. The results indicate that the maximum value of total water vapor and total cloud water appeared in June (in 1975), the minimum value appeared in December (in 1963); maximum total cloud water was found in the area with moderate drought frequency, and minimum total cloud water in the area with low drought frequency. The number of water vapor exchanges was averagely 7.23 times per each month, and the water vapor turnover rate was averagely 4.22 days for each time. The correlations between total precipitation and total water vapor, total cloud water are good, and the annual variation exhibited a multi-peak pattern. The geographic distribution of the total water vapor and total cloud water shows a tendency of high in the north and low in the south.
Keywords:cloud water resource  distributional characteristic  correlation analysis
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