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1.preserved context indexing system,PRECIS
保留上下文索引系统收藏指正
2.Precis this chapter in two pages.
用两页写出这一章的大意收藏指正
3.In this paper, the CERES-Maize (Crop-Environmment Resourse Syntheses system ) was calibrated and validated firstly, afterwards the climate scenarios made by PRECIS(Providing Regional Climate for Impacts Studies) were input into the CERES-Maize model to validation the simulating ability of PRECIS.
本文首先对作物模型(CERES-Maize)进行了标定和验证,然后将区域气候模式(RCM)PRECIS系统模拟的历史气候数据输入CERES-Maize模型,验证直接应用PRECIS结果进行玉米生产模拟的可行性。收藏指正
4.Combining RCM-PRECIS (Resolution 50 km×50 km) regional climate model with the CERES crop model validated and calibrated with field experiment and observed weather data,impacts of climate change on agriculture and the uncertainty of the method were estimated in this paper.
利用英国Hadley中心开发的区域气候模式RCMPRECIS(网格分辨率50km×50km),与经过田间试验资料和历史气候资料验证和校准过的CERES系列作物模式相结合,就区域气候模式与作物模式联接的影响评估方法及其不确定性进行了评估。收藏指正
5.By using B2 climate scenario produced by model PRECIS (providing regional climates for impacts studies) and the rice yield data from model CERES-Rice, the sensitivity and vulnerability of rice to future climate change in China were studied based on the yield variation and GIS techniques.
采用PRECIS模型输出的B2气候情景,结合CERES-Rice作物模型数据,依据产量的变化率和GIS技术对我国未来(21世纪70年代)水稻的气候变化敏感性和脆弱性进行了研究。收藏指正
6.In this paper, CERES-Wheat model, calibrated and validated with historical recorded data of in situ meteorology and crop field experiments, were linked with Regional Climate Model (RCM)-PRECIS to assess the impact of climate change on wheat production in the main planting areas over China.
本文利用IPCC推荐的A2气候变化情景,在对CERES-Wheat作物模型进行详细验证的基础上,将区域气候模式PRECIS的模拟结果与作物模型CERES-Wheat相连接,同时考虑到CO_2对小麦的直接施肥作用,模拟了未来气候变化后我国雨养和灌溉小麦的变化趋势。收藏指正
7.Twenty years (1981-2000) field experiments data over 24 stations were selected to test CERES-Wheat model capacity of simulating yield, growing stage and so on. Also, 3-years (1981-1983) simulated weather data by PRECIS were provided to examine how to link the output of PRECIS and the CERES-Wheat model. The rainfed and irrigated wheat production under A2 climate change scenario, without and with CO_(2) fertilization effect, were simulated respectively.
利用全国24个小麦站点1981-2000年的田间实测资料对作物模型进行了检验和有关参数的调整,并且将PRECIS模拟的81-83年气象数据与实测气象数据对比分析,然后嵌套81-83各站点田间实验数据对PRECIS和CERES-Wheat耦合模拟能力进行验证和调整。收藏指正
8.The peak area-concentration linear range for individual amino acids was 1.5-150 umol/L, r=0.999. The precis- ion (C.V) studies for TR and peak area provided 0.1-0.9% and 0.6-5.4% (except Met and Tyr) separately. The average recoveries was 113.5-72.5%.
各氨基酸的峰面积-浓度线性范围为1.5~150μml/L,r=0.999; 测定精密度(C、V范围):保留时间为0.1~0.9%,峰面积为0.6~5.4%(蛋氨酸、酪氨酸除外),回收率为113.5~72.2%。收藏指正
9.The crop models of CERES-Wheat, calibrated and validated, were linked with Regional Climate Model (RCM)-PRECIS to assess the impact of climate change on wheat in their main growing areas in North China.
本研究在CERES-Wheat模型的基础上,利用北方10 个站点的田间试验数据、土壤资料和天气数据组建了不同土壤水分条件下小麦生长发育的动态模拟模型,分析适合我国北方小麦生产的最适水分条件。收藏指正
10.Probably, we live in city , resemble every puppet, we probably think of that antiquited puppet show, in the prattle music for voices in a Chinese opera carefree and leisurely drift,In short ,life always can give us a lot of coming to realize , we probably, ought to in one tender sentiments thick and solid , being giving off , that bits and pieces , a volume being assembled gradually by them being accomplished are worth it the individual ancient book and record collecting on the paper having kind handle light yellow, under the precis writer!
或许我们生活在都市,像一个个木偶,或许我们怀念那古老的木偶戏,在咿呀的唱腔中悠然飘荡,总之,生活总是能给我们许多的感悟,或许,我们应该在一本厚实的,散发着温情,有着亲切手感的淡黄的纸上,记录下那点点滴滴,让他们逐渐汇集成一部值得收藏的个人典籍!收藏指正
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