中国农业气象

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华北地区杨树烂皮病发生发展气象适宜度预报模型

王纯枝;郭安红;王玉玲;周玉江;毛留喜;   

  1. 国家气象中心;国家林业局森防总站测报处;辽宁省实验林场;
  • 出版日期:2011-02-10 发布日期:2011-02-10
  • 基金资助:
    国家林业局林业公益性行业科研专项(200804023)

Forecasting Model of Meteorological Suitability for Occurrence and Development of Valsa sordida Nits in North China

WANG Chun-zhi1,GUO An-hong1,WANG Yu-ling2,ZHOU Yu-jiang3,MAO Liu-xi1(1.National Meteorological Center,Beijing 100081,China;2.Forest Disease and Pest Prevention Station,StateForestry Administration,Beijing 100714;3.Liaoning Experimental Forest Center,Shenyang 113311)   

  • Online:2011-02-10 Published:2011-02-10

摘要: 利用河北省18个代表站点2002-2008年杨树烂皮病病情资料和相应气象资料,通过相关、回归分析等方法,分析河北省杨树烂皮病发生发展与气象条件的关系。结果表明:降水量、降水日数、相对湿度、温湿系数与杨树烂皮病发生率呈正相关,降水增加、雨日增多、相对湿度和温湿系数增大有利于杨树烂皮病发生发展;日照时数、夏季高温日数、极端最低气温与杨树烂皮病发生率呈负相关,天气晴朗、日照充足、极端气温升高不利于杨树烂皮病发生发展;影响河北省杨树烂皮病发生发展的关键气象因子分别是3月和4月温湿系数、3月下旬和4月下旬日照时数、4月上下旬气温、3月上旬和4月上旬以及上年12月上旬极端最低气温,利用归一化处理后的关键气象因子建立气象适宜度预报模型,通过回代检验,气象适宜度等级与杨树烂皮病实际发生等级相比,模型拟合准确率为91%;对河北省2009年5-6月杨树烂皮病盛发期气象适宜度等级进行预报,准确率为78%,效果较好;3-4月气象条件是影响华北杨树烂皮病发生发展的关键生态环境因子。模型可用于从气象角度对华北地区杨树烂皮病发生发展进行监测和预报。

关键词: 杨树烂皮病, 归一化, 气象适宜度, 预报模型

Abstract: Based on the data of meteorology and monitoring on Valsa sordida Nits during 2002-2008 in 18 observation stations of Hebei province,the relationship between the occurrence and development of Valsa sordida Nits and meteorological conditions was analyzed applying correlation and regression analysis method.The results showed that the precipitation,rain day,relative humidity and temperature-humidity coefficient were positively related to the incidence of Valsa sordida Nits.It was favorable to the development of Valsa sordida Nits as the precipitation,rain day,relative humidity and temperature-humidity coefficient increased,while it was not favorable to the development of Valsa sordida Nits as the sunshine duration,extreme air temperature increased.The key meteorological factors which affected the occurrence and development of Valsa sordida Nits in Hebei province were temperature-humidity coefficients in March and April,the sunshine hours in the third ten days of March and April,air temperature in the first and third ten days of April,the extremely minimum air temperature in the first ten days of March and April and also last December respectively.The meteorological suitability forecasting model was established based on the normalized key meteorological factors.The validation results by the historical return test showed that forecasting accuracy for meteorological suitability models was 91% by comparing meteorological grade with actual grade.The meteorological grade of the occurrence fastigium during May to June in 2009 was forecasted with forecasting accuracy by 78% by trial forecast.The meteorological conditions in March and April were the key environmental factors affecting the occurrence and development of this disease in North China.The model could be put into the operational application in North China.

Key words: Valsa sordida Nits, Valsa sordida Nits, Normalized, Meteorological suitability, Forecasting model