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climate variability
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  气候变率
    To rainfed rice, climate variability has a positive effect on its yield in Guangzhou and Changsha.
    对雨养水稻来说,气候变率对广州、长沙两地的产量有正面影响,且这种影响与变率呈正相关;
短句来源
    Simulation of the effect of climate variability on China's rice yield under regional climate change
    区域气候变化情景下气候变率对我国水稻产量影响的模拟研究
短句来源
    Then, climate change scenarios including change in climate variability (C+V scenario) were produced, based on 3 hypotheses and the Weather Generator (WGEN) in DSSAT.
    在上述第2部分,首先利用BASELINE和国际上通用的3种大气环流模型(GCMs)即GISS、GFDL和UKMO的有关网格点值,生成了研究区域3种不考虑气候变率变化的(2×CO_2)气候变化情景(以下简称C情景);
短句来源
    The simulation results show:(1) The influence of climate variability on rice yield is dissimilar due to differential management modes.
    模拟结果表明:(1)气候变率对水稻产量的影响因经营方式和研究地区的不同而有差异。
短句来源
    To irrigated rice, climate variability has a negative effect on its yield. The greater climate variability is, the worse this kind of effect would be.
    对灌溉水稻来说,气候变率对其产量有负面影响,且这种影响随气候变率的加大而增大。
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    With increase of the climate variability, the amplitude of increased yield simulated would be reduced.
    雨育小麦在研究区域北部和南部产量变化的差异较大,主要是模拟降水量的地区性差异造成的;
短句来源
    The effect of climate variability on rainfed rice yield in Nanjing is similar to that of the irrigated rice yield.
    而对南京的产量有负面影响,其影响规律和对灌溉水稻的相似。
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  climate variability
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Carbon isotopes as a tool for reconstructing ancient climate variability
      
The relationship between the thermohaline circulation and climate variability
      
Some fundamental atmospheric variables including surface air temperature (SAT), sea level pressure (SLP) and precipitation are examined to evaluate the ability of the GOALS model to simulate the contemporary climate and climate variability.
      
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Using the Stochastic Weather Generator, the Regional Climate Model was linked with CERES Rice Model to simulate irrigated and rainfed rice yield in China's main rice production areas: Guangzhou, Changsha and Nanjing under future climate scenarios, assuming the concentration of CO 2 was 550mg/L in 2050. Three levels of climate variability for the fertility of CO 2 were taken into account. The simulation results show:(1) The influence of climate variability on rice yield is dissimilar due to differential...

Using the Stochastic Weather Generator, the Regional Climate Model was linked with CERES Rice Model to simulate irrigated and rainfed rice yield in China's main rice production areas: Guangzhou, Changsha and Nanjing under future climate scenarios, assuming the concentration of CO 2 was 550mg/L in 2050. Three levels of climate variability for the fertility of CO 2 were taken into account. The simulation results show:(1) The influence of climate variability on rice yield is dissimilar due to differential management modes. To irrigated rice, climate variability has a negative effect on its yield. The greater climate variability is, the worse this kind of effect would be. To rainfed rice, climate variability has a positive effect on its yield in Guangzhou and Changsha. The effect of climate variability on rainfed rice yield in Nanjing is similar to that of the irrigated rice yield.(2) The fertility of CO 2 is a very important aspect and should not be ignored. It can lessen the scope of the drop in rice production to a great extent.

利用中国随机天气模型将中国区域气候模式 R C M 与作物模式 C E R E S Rice 相连接,模拟了 3 种气候变率(0% 、10% 、20% )水平下未来气候(2050 年,假定此时 C O2 浓度为 550m g/ L)对我国水稻主产区(广州、长沙、南京)灌溉水稻和雨养水稻在考虑 C O2 肥效与否条件下的产量。模拟结果表明:(1)气候变率对水稻产量的影响因经营方式和研究地区的不同而有差异。对灌溉水稻来说,气候变率对其产量有负面影响,且这种影响随气候变率的加大而增大。对雨养水稻来说,气候变率对广州、长沙两地的产量有正面影响,且这种影响与变率呈正相关;而对南京的产量有负面影响,其影响规律和对灌溉水稻的相似。(2) C O2 的肥效作用是不可忽视的重要方面,它能较大程度地减缓水稻减产的幅度。

As one of the key issues of regional respond to global climatic change, the sustainability of agricultural production under the changing climate is attracting more and more academic focuses. The impact of climate change on the agriculture results from the change of climate elements mean values and of the climate variability. The assessment system of winter wheat water and yield in the Huang-Huai-Hai Plain, the main production area of food in China, is submitted in this paper to discuss the impact of climate...

As one of the key issues of regional respond to global climatic change, the sustainability of agricultural production under the changing climate is attracting more and more academic focuses. The impact of climate change on the agriculture results from the change of climate elements mean values and of the climate variability. The assessment system of winter wheat water and yield in the Huang-Huai-Hai Plain, the main production area of food in China, is submitted in this paper to discuss the impact of climate variability and future climate on the production of wheat. The system is made up with a set of models, which is based on the following idea. Crop uses water in the form of the transference of precipitation, soil moisture and plant water. The situation of crop water supply and requirement can be expressed by the relationship between actual evaportranspiration and potential evaportranspiration. Then we can estimate crop yield from the loss of evaportranspiration. The simulation of water balance during the growth period of winter wheat shows that the deficience of water are 200400 mm in the area of north of the Yellow River, 100 mm or so in the middle part of the Plain, and nearly zero in the area including south of Henan province, north of Anhui and Jiangsu province. The spatial divergence of irrigation amount is discussed, too. From the water balance estimation model, the yield of winter wheat can be calculated under the scenario of climate change in the future. So the change of yield of winter wheat in the Plain in the future is given, which is yield decrease in the most part of the plain.

气候变化的区域影响愈益成为具有挑战性的问题,尤其是气候变化对农业产量可持续性的影响已引起广泛的关注。基于全球气候变化对中国的影响和区域气候变率分析,提出了粮食气候产量形成模型,并将其应用于黄淮海地区冬小麦水分条件和产量研究,同时对全球气候变化情形下冬小麦产量的变化做出评价。

Soil organic carbon (SOC) is an important component of the global carbon cycle, and it has direct effects on the global carbon balance. Better understanding of the controlling factors of SOC and how SOC may respond to environmental changes are important to the accuracy for predicting the consequences of SOC under global change and evaluating the carbon budget. In this paper, the effects of climate, atmospheric composition, vegetation, soil property, land use and management practices on soil organic carbon (SOC)...

Soil organic carbon (SOC) is an important component of the global carbon cycle, and it has direct effects on the global carbon balance. Better understanding of the controlling factors of SOC and how SOC may respond to environmental changes are important to the accuracy for predicting the consequences of SOC under global change and evaluating the carbon budget. In this paper, the effects of climate, atmospheric composition, vegetation, soil property, land use and management practices on soil organic carbon (SOC) are presented. Based on this, some important tasks are also proposed, including 1 quantifying processes and states of SOC; 2 determining the controlling factors; 3 the effects of nitrogen deposition on SOC; 4 the responses and feedback of SOC to climate variability; and 5the synthetic simulating SOC dynamics.

土壤有机碳库是全球碳循环的重要组成部分,其积累和分解的变化直接影响全球的碳平衡。理解土壤有机碳蓄积过程对生物、物理和人为因素的响应,把握关键的控制因子是准确预测土壤有机碳在全球变化情景下对大气CO2的源/汇方向及准确评估碳收支的关键。综述了土壤有机碳主导影响因子的研究进展,并针对陆地碳循环特点,提出未来土壤有机碳研究应加强土壤有机碳过程与状态的定量化、土壤有机碳分解对环境因子的敏感性、氮沉降对土壤有机碳的影响、土壤有机碳对气候变率的响应及其反馈作用,以及土壤有机碳动态的综合模拟5个方面的研究,为准确评估陆地碳收支提供依据。

 
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