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蒸散系数
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  “蒸散系数”译为未确定词的双语例句
     Annual potential evapotranspiration is 1031 4 mm, and is similar to the amount of actual evapotranspiration. Temporal variation of monthly evapotranspiration lags behind that of monthly precipitation;
     蒸散力 1 0 31 .4mm,年蒸散系数为 0 .92 ,蒸散月变化规律较降水量的月变化规律有所滞后。
短句来源
     Dynamic simulation equations of the root development and transpiration coefficient were derived. Based on the theory of soil water balance, a dynamic prediction method of irrigation date was established. Satisfactory results were obtained for field test of spring wheat and maize.
     从土壤-作物-大气连续体角度出发,根据田间试验资料和气象资料,确定出春小麦、春玉米不同生长阶段土壤水分控制的下限标准,提出了两种作物根系生长动态模拟方程和蒸散系数模拟方程,在土壤水分平衡理论的基础上,建立了预报灌溉日期的方法,并以春小麦、春玉米农田为例进行了检验,结果比较理想。
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  相似匹配句对
     economic coefficient;
     经济系数;
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     90, and the Cron- bach's coefficient .
     90,! 系数.
短句来源
     Measurement of evapo-transpiration and crop coefficient of irrigated spring wheat in Naiman sandy cropland
     奈曼地区灌溉麦田蒸散量及作物系数的确定
短句来源
     Analysis of paddy field evapotranspiration in North China and calculation of crop coefficient.
     北方稻田蒸散需水分析及其作物系数确定
短句来源
     STUDY OF FIELD EVAPOTRANSPIRATION
     农田蒸散的研究
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  evapotranspiration coefficient
For the Ec evapotranspiration coefficient, the prior uniform range was selected between 0 and 1, which represents a feasible range for this parameter.
      


In this paper,a method of computing 10-day and Monthly potential transpira-tion and evapotranspiration under the condition of soil moisture deficit from clima-tological data are presented.Further,a method of computing critical soil moistureand coefficent of evapotranspiration from main stages for some crops has been for-mulated.The error analysis of the methods and the reliability of calculating resultsare discussed.

本文提出了一个用气候资料计算旬、月的可能蒸散和土壤湿润不足情况下的蒸散的方法。并且制定了临界含水量和作物发育期蒸散系数的计算方法。进行了误差分析,论证了方法的可靠性。

Although most parts of landscape are arid or desert in the subtropics in the world, the subtropic region of South China is an exception, where monsoon evergreen broad leaf forest, the climax forest ecosystem in the region is conserved. Using field measurements from 1993 to 1999, we analyzed the spatial and temporal variations of some hydrological factors in this climax forest ecosystem. Main results are: (1) the average annual precipitation is 1910 mm, of which 80% is from wet seasons and 20% from dry seasons....

Although most parts of landscape are arid or desert in the subtropics in the world, the subtropic region of South China is an exception, where monsoon evergreen broad leaf forest, the climax forest ecosystem in the region is conserved. Using field measurements from 1993 to 1999, we analyzed the spatial and temporal variations of some hydrological factors in this climax forest ecosystem. Main results are: (1) the average annual precipitation is 1910 mm, of which 80% is from wet seasons and 20% from dry seasons. The mean monthly precipitation is highest in June and lowest in January; (2) About 31 8% of rainfall is intercepted. Interception during wet season accounts for 66 7% of annual total. Canopy interception is highest in July and lowest in January. The rate of interception decreases within an increase in the amount of rainfall intercepted in the canopy; (3) the annual runoff is 953 0 mm with a coefficient of variation of 49 9%. The amount of annual surface runoff is 252 3 mm with a coefficient of variation of is 13 2%. Variation of annual surface runoff is more closely related to that of annual precipitation than rainfall intensity. (4) Average annual evapotranspiration in the monsoon evergreen broad leaf forest is 948 2 mm, which amounts to 49 7% of annual precipitation. Annual potential evapotranspiration is 1031 4 mm, and is similar to the amount of actual evapotranspiration. Temporal variation of monthly evapotranspiration lags behind that of monthly precipitation;(5) Monthly change in water storage in the ecosystem is significant. The amount of water stored in the catchment increases between February to August, and decreases during remaining months of a year. The increase in water storage of the catchment is highest in April, and the decrease in water storage is highest in October. (6) The mean annual water input to the catchment is 2129 9 mm, of which 1910 mm is from annual precipitation, and 219 9 mm from a change in the water storage. The mean annual total input of water is approximately equal to its output. The mean outputs are 1901 3 mm through runoff and evaportranspiration, and 228 6 mm from the change of water storage.

运用连续 7a( 1 993~ 1 999)的水文观测资料 ,对南亚热带顶级生态系统鼎湖山季风常绿阔叶林集水区水文要素时空规律进行分析 ,得到如下一些主要结论 :( 1 )鼎湖山多年平均降水量为 1 91 0 mm,湿季降水量占年降水量 80 % ,干季仅占 2 0 %。 6月份的降水量最大 ,1月份最小。 ( 2 )季风常绿阔叶林冠层截留率为31 .8% ,湿季的截留量占全年截留量的 66.7% ,截留量最大值和最小值所在的月份分别为 7和 1月份。各月的截留率差异很大 ,截留量大的月份 ,截留率较低 ;截留量小的月份 ,截留率较高。 ( 3)季风常绿阔叶林集水区多年平均总径流量 95 3.0 mm,总径流系数 49.9% ,其中地表径流量为 2 5 2 .3mm,地表径流系数1 3.2 % ;地表径流与降水量之间存在二次抛物线型回归关系 ,与降水强度的关系不大 ,这说明季风常绿阔叶林的产流形式是是蓄满产流。 ( 4 )季风常绿阔叶林多年平均蒸散 948.2 mm,占同期降水量的 49.7% ;蒸散力 1 0 31 .4mm,年蒸散系数为 0 .92 ,蒸散月变化规律较降水量的月变化规律有所滞后...

运用连续 7a( 1 993~ 1 999)的水文观测资料 ,对南亚热带顶级生态系统鼎湖山季风常绿阔叶林集水区水文要素时空规律进行分析 ,得到如下一些主要结论 :( 1 )鼎湖山多年平均降水量为 1 91 0 mm,湿季降水量占年降水量 80 % ,干季仅占 2 0 %。 6月份的降水量最大 ,1月份最小。 ( 2 )季风常绿阔叶林冠层截留率为31 .8% ,湿季的截留量占全年截留量的 66.7% ,截留量最大值和最小值所在的月份分别为 7和 1月份。各月的截留率差异很大 ,截留量大的月份 ,截留率较低 ;截留量小的月份 ,截留率较高。 ( 3)季风常绿阔叶林集水区多年平均总径流量 95 3.0 mm,总径流系数 49.9% ,其中地表径流量为 2 5 2 .3mm,地表径流系数1 3.2 % ;地表径流与降水量之间存在二次抛物线型回归关系 ,与降水强度的关系不大 ,这说明季风常绿阔叶林的产流形式是是蓄满产流。 ( 4 )季风常绿阔叶林多年平均蒸散 948.2 mm,占同期降水量的 49.7% ;蒸散力 1 0 31 .4mm,年蒸散系数为 0 .92 ,蒸散月变化规律较降水量的月变化规律有所滞后。( 5 )系统贮水量的月变化很大 ,2~ 8月份 ,系统处于蓄水阶段 ;9月份至翌年 1月份 ,系统处于失水阶段。蓄水和失水的最大值分别出现在湿季和干季的第一个月 ,即 4月份和 1 0月份。 ( 6)集水区多年平均水量总输入

From the point of view of soilplantatmosphere continuum, lower limit soil moisture standards for spring wheat and maize during different growth periods were proposed based on field observed data and meteorological data. Dynamic simulation equations of the root development and transpiration coefficient were derived. Based on the theory of soil water balance, a dynamic prediction method of irrigation date was established. Satisfactory results were obtained for field test of spring wheat and maize.

灌溉是预防或减轻旱灾的有效手段,适时适量灌溉是节约日益匮乏的有限水资源的主要途径之一。从土壤-作物-大气连续体角度出发,根据田间试验资料和气象资料,确定出春小麦、春玉米不同生长阶段土壤水分控制的下限标准,提出了两种作物根系生长动态模拟方程和蒸散系数模拟方程,在土壤水分平衡理论的基础上,建立了预报灌溉日期的方法,并以春小麦、春玉米农田为例进行了检验,结果比较理想。

 
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