中国农业气象 ›› 2011, Vol. 32 ›› Issue (增刊): 213-217.

• 论文 • 上一篇    下一篇

基于灰色系统理论的南亚热带香蕉低温灾害关键要素分析

徐宗焕,谢庆荣,吴仁烨,林俩法   

  1. (1福建省气象科学研究所,福州350001;2福建省三明市气象局,三明365000;3福建农林大学作物科学学院,福州350002;〖JP〗4福建省漳州市气象局,漳州363000)
  • 出版日期:2011-10-31 发布日期:2011-11-24
  • 基金资助:

    科技部农业科技成果转化资金项目(2009GB24160500);福建省自然科学基金项目(2008J0122)

Key Elements Analysis on Low Temperature Disaster of Bananas in
South Asia Tropic Based on Grey System Theory

XU Zonghuan,XIE Qingrong,WU Renye,LIN Liangfa   

  1. (1Meteorological Institute of Fujian, Fuzhou350001,China; 2 Sanming Bureau of Meteorology,Sanming365000; 3College of
    Crop Science, Fujian Agriculture and Forestry University, Fuzhou350002; 4Zhangzhou Bureau of Meteorology, Zhangzhou363000)
  • Online:2011-10-31 Published:2011-11-24

摘要: 运用灰色系统理论对漳州市1999年12月20-27日造成香蕉低温灾害的低温因子与当年香蕉减产率进行比较分析。结果表明,极端低温是造成香蕉低温灾害的最重要因素,低温持续时间越长危害越严重,低温因子间关联度最大的为每5d滑动中日最低气温<5.0℃的天数。应用已建立的模式,推算漳州市网格精度为50m×50m分辨率的年度极端最低气温平均值;根据给定的分级指标,显示漳州香蕉低温灾害的空间分布情况,结合地形影响,揭示漳州香蕉低温灾害的分布特征,为有关部门科学安排香蕉生产及引导农民趋利避害提供决策依据。

关键词: 香蕉, 低温灾害, 灰色因素, GIS, 漳州市

Abstract:  The grey system theory was used to analyze low temperature disaster in Zhangzhou during 20th-27th December 1999 which caused a reduced banana production rate. The results indicated that extreme lowtemperature was the most important factor of the disaster. The longer the low temperature continued, the more serious the harm was. With low temperature factors, the most relevancy degree was the number of days during which daily minimum temperature slid <5.0℃ for each 5 days. Based on the established pattern, annual average extreme low temperature of accuracy of 50m×50m grid resolution was inferred. According to the given criterion and combined geographical information with low temperature, it showed distribution characteristics of the frost damage of low temperature of bananas in Zhangzhou. It provided scientific decisionmaking proposal for the government to arrange banana production and for farmers to utilize advantaged condition to avoid disaster. 