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作 者:张燕[1] 张振华[1] 姚付启[1] 冯雪[1] 李清翠[1]
机构地区:[1]鲁东大学地理与规划学院,山东烟台264025
出 处:《农业现代化研究》2008年第4期468-470,共3页Research of Agricultural Modernization
基 金:国家自然科学基金;鲁东大学学生科技新基金项目:间接地下滴灌氮运移规律与节水增产机制研究(编号:50609022)
摘 要:利用AXWG03自动气象站于2007年3-6月对烟台市一果园内表层土壤温度及环境气象因子进行了观测,分析了典型晴天和阴天情况下土壤温度相对于气象因子的滞后效应,并建立了基于气象因子的土壤温度预测模型。结果表明:①在典型的晴天情况下,土壤温度相对于大气温度、太阳总辐射和风速分别存在20min、10 min和60 min的滞后时间;在典型的情况下,土壤温度相对于大气温度、风速、湿度和大气压分别存在250 min、10 min、270 min和110 min的滞后时间。②在典型晴天情况下,考虑滞后前后土壤温度预测模型决定系数由0.891提高到0.911;在典型阴天情况下,决定系数由0.634提高到0.855,考虑滞后效应可提高预测模型的拟合精度。The surface soil temperature and the weather factors were measured with AXWG03 automatic weather station from March to June, 2007, in an orchard of Yantai. The time lag effect of soil temperature compared to meteorological factors was analyzed in the case of typical clear day and typical cloudy day, and the model of soil temperature based on weather factors was established. The results showed: (1)In the case of typical clear day, the time lag effect of soil temperature existed compared to air temperature, solar radiation and wind speed, and the lag time was 20 min, 10 min and 60 min, respectively; in the case of typical cloudy day, the time lag effect of soil temperature existed compared to air temperature, wind speed, relative humidity and atmospheric pressure, and the lag time was 250 min, 10 min, 270 min and 110 min. (2)In the case of a typical clear day, the decisive coefficient of the model of soil temperature increased from 0. 891 to 0.911; in the case of a typical cloudy day, the decisive coefficient of the model of soil temperature increased from 0.634 to 0.855, in conclusion, the fitted precision would be improved with the time lag effect of soil temperature compared to meteorological factors considered.
分 类 号:S162.4[农业科学—农业气象学]
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