摘要
基于日光温室内气温、空气相对湿度及太阳辐射三要素适宜度定量评价模型,改进了太阳辐射适宜度模型,同时引入10 cm地温因子并构建10 cm地温要素适宜度模型。在此基础上,利用等权重方法构建四要素综合小气候适宜度定量评价模型,并用寒亭站温室2017和2018年生产服务季内每10 d的平均适宜度与相同时间段内番茄产量对两者进行相关性检验。利用2012—2017年生产服务季寒亭日光温室内小气候资料确定适宜度评价等级指标,对单要素及综合适宜度进行应用评价。结果表明:(1)四要素综合小气候适宜度与产量相关性优于三要素适宜度评价模型;(2)利用最优分割法将各要素气候适宜度划分为不适宜、较适宜和适宜三个等级;(3)单要素及综合小气候适宜度“不适宜”等级日数1月占比最大。
Based on the micro-climate suitability quantitative evaluation model built by using temperature,air relative humidity and solar radiation data in heliogreenhouse,10 cm ground temperature was introduced,and the 10 cm ground temperature suitability model was built.The equal weight method was used to build the comprehensive micro-climate suitability quantitative evaluation model.The ten-day average micro-climate comprehensive suitability index and tomato yield data of Hanting from November 2017 to April 2018 were utilized to test the new comprehensive suitability quantitative evaluation model.The evaluation grade index was also defined,and the new model was applied.The results are as follows:(1)The correlation between 10 days average micro-climate comprehensive suitability indexes from the new model and tomato yield of 10 days was better than three elements comprehensive suitability quantitative evaluation model.(2)Suitability grades including unsuitable,suitable and more suitable were classified using best division method.(3)The percentages of appearing days of unsuitable level of air temperature,air relative humidity,solar radiation,10 cm ground temperature and comprehensive micro-climate suitability were maximum in January.
作者
李楠
薛晓萍
LI Nan;XUE Xiaoping(Shandong Provincial Climate Center,Jinan 250031,China)
出处
《干旱气象》
2020年第6期1009-1015,共7页
Journal of Arid Meteorology
基金
中国气象局业务建设项目“国内外农作物产量气象预报专项”、山东省气象局面上项目(2016sdqxm03)
十三五山东重大气象工程项目(鲁发改农经〔2017〕97号)共同资助。
关键词
日光温室
适宜度
定量评价
模型
solar greenhouse
suitability
quantitative evaluation
model
