气象与环境学报2016，Vol.32Issue(4)：98-105,8.DOI:10.3969/j.issn.1673-503X.2016.04.013
日光温室番茄低温冻害指标确定及温度预报模型建立
Determination of low-temperature and frost damage indicators and construction of a temperature forecasting model for tomato in greenhouse
摘要
Abstract
Based on greenhouse microclimate observation data in two growing seasons from December 2012 to Jan-uary 2013 and from December 2013 to January 2014,the occurrence of frost damage for tomatoes in greenhouse and their influencing factors were analyzed.The diurnal temperature difference index was constructed and taken as an indicator for the happening of low-temperature and frost damage during fruit enlargement period for tomato in greenhouse.Additionally,a temperature forecasting model was constructed through a regression analysis method. The results show that the occurrence of low-temperature and frost damage for tomato in greenhouse can be attribu-ted to the combined effects of continuous low temperature,lack of sunshine and high humidity in greenhouse.Low-temperature and frost damage happens when the number of scant-sunshine days with rain or snow outside green-house is more than 3,the maximum temperature in greenhouse is less than 10 ℃,the minimum temperature is less than 5 ℃,and the duration of low temperature (less than 5 ℃)is more than 15 h.In this study,hourly temperature data inside and outside greenhouse are used to construct a temperature forecasting model on an hourly time step for greenhouse.The forecasting accuracy for hourly temperature with an absolute error ≤3 ℃ from 1 8:00 to 08:00 reaches more than 86%.Based on the low-temperature and frost damage indicators and the hourly temperature forecasting model,an early warning for occurrence of low-temperature and frost damages can be provided.It im-proves the disaster prevention and mitigation capabilities in a greenhouse.关键词
日光温室/番茄/低温冻害指标/回归分析/预报模型Key words
Greenhouse/Tomato/Low-temperature and frost damage indicators/Regression analysis/Forecasting model分类
生物科学引用本文复制引用
张淑杰,孙立德,马成芝,张菁,陈艳秋,李广霞,韩秀君,吴曼丽,郭海..日光温室番茄低温冻害指标确定及温度预报模型建立[J].气象与环境学报,2016,32(4):98-105,8.基金项目
辽宁省科技厅农业攻关及成果产业化项目（2014210003）和中央级公益性科研院所专项资金项目（GYHY201206024）共同资助。 （）
