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近50年黑龙江省初霜日变化影响因子及预测模型建立的研究
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  • 英文篇名:Study on influencing factors and prediction model of the first frost date in Heilongjiang Province in recent 50 years
  • 作者:曲成军 ; 林嘉楠 ; 赵广娜
  • 英文作者:QU Chengjun;LIN Jianan;ZHAO Guangna;Meteorologica Observatory of Heilongjiang Province;Meteorological Bureau of Bin County;
  • 关键词:初霜日 ; 变化 ; 影响因子 ; 预测模型 ; 实践检验
  • 英文关键词:first frost date;;change;;influence factor;;prediction model;;practice test
  • 中文刊名:ZRZH
  • 英文刊名:Journal of Natural Disasters
  • 机构:黑龙江省气象台;宾县气象局;
  • 出版日期:2019-06-15
  • 出版单位:自然灾害学报
  • 年:2019
  • 期:v.28
  • 基金:科技部公益性行业(气象)科研专项(GYHY201306036)~~
  • 语种:中文;
  • 页:ZRZH201903023
  • 页数:9
  • CN:03
  • ISSN:23-1324/X
  • 分类号:208-216
摘要
为了达到提前做好初霜日预测的目的,利用实际监测1961-2011a初霜日、终霜日、无霜日数及有关气象因子,其中包括月、季平均气温,月、季降水量等资料。采用趋势分析和统计相关计算、等级的划分等方法,分析了近50年初、终霜日与无霜日、夏季温度年际变化特点。结果表明,20世纪80年代后随着全球气候暖化,初霜日与终霜日大有后延与提前及无霜日数增加的特点和夏季温度升高的趋势。相关分析表明,影响初霜日变化重要因子为前期5月终霜日的反相关变化和无霜日数的正相关变化。并依此关系构建了直角三角形初霜冻发生日的预测模型。又根据直角三角形tgα=y/x将初霜日出现早晚划分成特早、偏早、正常、偏晚、特晚5个级别;并又利用了终霜日和夏季平均温度与无霜日数的相关关系组成了能够预测无霜日数的散布图;经2012-2017a6年预测实践检验全部正确。综上只要通过本地终霜日、无霜日数与初霜日关系就可构建直角三角形初霜冻日的预测模型进行预测以减轻对农业灾害损失目的。
        In order to predict the first frost day in advance,the observation data from 1961 to 2011 are used and the interannual variation characteristics of the first frost day,the last frost day,the number of days without frost,and the summer temperature in recent 50 years are analyzed,by using the methods of trend analysis,statistical correlation calculation and classification. The results show that the first frost day is delayed,the last frost day is advanced,the number of frost-free days increases,and the summer temperature rises,with the global warming since the 1980 s. It shows that the important influencing factors of the first frost day are associated with the reverse correlation of the last frost day in May and the positive correlation of the number of frost-free days. The prediction model of the first frost date of right triangle is established,and the timing of the first frost day is divided into 5 grades:extra early,early,normal,late and extra late,according to the right triangle tgα = y/x. A scatter plot is constructed to predict the number of frost-free days,by using the correlation between the number of days without frostand the average temperature in summer. The methods are proved correct by the forecast practice test of 2012-2017. It is concluded that the prediction model of the first frost days in right triangle can be established by relationship between the number of the last frost days and the first frost days. Finally,the prediction model is used to reduce the loss of agricultural disaster.
引文
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