| 新疆伊宁市两种不同结构日光温室优化设计 |
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| 引用本文： | 贾国雨,秦勇,赵衡,陈东明.新疆伊宁市两种不同结构日光温室优化设计[J].北方园艺,2012(19):32-34. |
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| 作者姓名： | 贾国雨 秦勇 赵衡 陈东明 |
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| 作者单位： | 新疆农业大学林学与园艺学院,新疆乌鲁木齐,830052;新疆农业大学林学与园艺学院,新疆乌鲁木齐,830052;新疆农业大学林学与园艺学院,新疆乌鲁木齐,830052;新疆农业大学林学与园艺学院,新疆乌鲁木齐,830052 |
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| 基金项目： | 新疆维吾尔自治区高校科研计划科学研究重点资助项目(XJEDU2009I16);新疆维吾尔自治区“十二五”重大专项资助项目(201130104-2) |
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| 摘 要： | 在2009～2010、2010～2011年冬季,研究比较了新疆伊宁市2种不同结构日光温室地温、气温、湿度等环境因子的变化,以期为提高伊宁市日光温室冬季生产的综合利用能力提供理论依据。结果表明:伊犁州育苗中心2号优化设计温室性能优于原建1号温室,2号温室内测试期间最低气温为5℃,最高气温31.5℃,地温5、10、15、20cm分别平均提高5.6、4.36、3.04、2.05℃,相对湿度平均降低11.49%。试验测试充分验证了优化设计后的日光温室性能优于原建温室。
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| 关 键 词： | 日光温室 环境因子 优化设计 性能测试 |
Optimize Design of Two Different Structures Sunlight Greenhouse in Yining of Xinjiang |
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| JIA Guo-yu
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QIN Yong
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ZHAO Heng
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CHEN Dong-ming.Optimize Design of Two Different Structures Sunlight Greenhouse in Yining of Xinjiang[J].Northern Horticulture,2012(19):32-34. |
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| Authors: | JIA Guo-yu QIN Yong ZHAO Heng CHEN Dong-ming |
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| Institution: | (Department of Foresty and Agriculture,Xinjiang Agricultural University,Urumqi,Xinjiang 830052) |
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| Abstract: | From 2009～2010,2010～2011winter,two different structures in sunlight greenhouse in Yining of Xinjiang were analyzed,the temperature,air temperature,humidity and other environmental factors in the Mainland were studied in order to improve the comprehensive utilization of capacity of the city of Yining sunlight greenhouse in winter,and to provide a theoretical basis.The results showed that measurements on the analysis of experimental data processing,nursery center of Yili Prefecture optimized the design of greenhouse performance was better than the original was built on the 1st greenhouse 2,greenhouse test period the minimum temperature was 5℃ the highest temperature of 31.5℃,ground temperature 5,10,15,20cm on average increased by 5.6,4.36,3.04and 2.05℃,relative humidity decreased by 11.49%on average.From the actual fully verify the optimization design of solar greenhouse performance was better than the original building agreenhouse. |
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| Keywords: | solar greenhouse environmental factors optimal design performance test |
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