摘要
从温度、降水及日照等角度,分析了蚕豆发育期气象条件的适宜度,为作物气候评价的定量化提供参考和依据。运用模糊数学理论,分别建立了气温、降水量和日照时数对昆明蚕豆生长发育适宜程度的隶属函数模型,据此模型分别计算蚕豆不同生育阶段的温度、降水、日照及光温水综合因子对蚕豆生长发育的隶属度,进而分析气象条件的适宜程度。对2007年度和2008年度各气象因子进行计算,结果得出:温度和日照对蚕豆生长发育的隶属度较高,说明温度和日照条件能够满足蚕豆生长发育的需要,而降水的隶属度变化幅度较大,且隶属度普遍较低,说明自然降水不能满足蚕豆生长发育需要,降水是蚕豆产量形成的限制因素。运用模糊数学理论建立的作物气候适宜度动态模型能客观反映气象条件对作物生长发育的适宜程度,为提高气象服务质量提供了依据。
Based on temperature, precipitation and sunshine time, the suitability degree of meteorological factors in broad bean growing stage were analyzed. It can provide theoretical foundation for the quantitative evaluation of Crop Climate. By using fuzzy mathematics theory, the membership function model of temperature, precipitation and sunshine time for broad bean were established, and the membership degree of temperature, precipitation and sunshine in the growth and development of broad bean was calculated to estimate the climatic suitability to broad bean quantitatively. The meteorological factors during growth and development of broad bean in 2007 and 2008 was calculated, results indicated that the membership degree for the temperature and sunshine was relative high, but for the precipitation was low with large variable extents. These explained that the temperature and sunshine were able to satisfy the growth and development of broad bean. The lack of the natural precipitation was a limited factor for the formation of the broad bean yield. Dynamic model for crop climatic suitability degree based on fuzzy mathematics theory can objective reflect the suitability degree of meteorological factors for crop growth, and it can provide the basis for the improvement of weather service quality.
出处
《中国农学通报》
CSCD
北大核心
2009年第15期72-75,共4页
Chinese Agricultural Science Bulletin
基金
昆明市科技计划"农业气象灾害预警信息响应服务系统研究及应用"(昆科计字06S114130号)
关键词
蚕豆
气象条件
模糊数学理论
隶属度
broad bean, meteorological factors, fuzzy mathematics theory, membership degree
