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1.
W. Koeve   《Marine Chemistry》2001,74(4):96
Observations of wintertime nutrient concentrations in surface waters are scarce in the temperate and subarctic North Atlantic Ocean. Three new methods of their estimation from spring or early summer observations are described and evaluated. The methods make use of a priori knowledge of the vertical distribution of oxygen saturation and empirical relationships between nutrient concentrations and oxygen saturation. A south–north increase in surface water winter nutrient concentration is observed. Winter nitrate concentrations range from very low levels of about 0.5 μmol dm−3 at 33°N to about 13.5 μmol dm−3 at 60°N. Previous estimates of winter nitrate concentrations have been overestimates by up to 50%. At the Biotrans Site (47°N, 20°W), a typical station in the temperate Northeast Atlantic, a mean winter nitrate concentration of 8 μmol dm−3 is estimated, compared to recently published values between 11 and 12.5 μmol dm−3. It is shown that most of the difference is due to a contribution of remineralised nitrate that had not been recognized in previous winter nutrient estimates. Mesoscale variation of wintertime nitrate concentrations at Biotrans are moderate (less than ±15% of the regional mean value of about 8 μmol dm−3). Interannual variation of the regional mean is small, too. In the available dataset, there was only 1 year with a significantly lower regional mean winter nitrate concentration (7 μmol dm−3), presumably due to restricted deep mixing during an atypically warm winter. The significance of winter nitrate estimates for the assessment of spring-bloom new production and the interpretation of bloom dynamics is evaluated. Applying estimates of wintertime nitrate concentrations of this study, it is found that pre-bloom new production (0.275 mol N m−2) at Biotrans almost equals spring-bloom new production (0.3 mol N m−2). Using previous estimates of wintertime nitrate yields unrealistically high estimates of pre-bloom new production (1.21–1.79 mol N m−2) which are inconsistent with observed levels of primary production and the seasonal development of biomass.  相似文献   
2.
The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha−1 lower than the RMSE (233.35 kg ha−1) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.  相似文献   
3.
郑昌玲  王春乙 《气象学报》2005,63(2):192-203
针对CO2和O3浓度变化对冬小麦影响,改进了农田生态系统碳氮生物化学模型(DNDC),并利用模型模拟了O3和CO2浓度变化对冬小麦生长发育和产量的影响,检验了模型的模拟效果.通过对原DNDC模型适用性的调整,使之适用于固城站,为进一步改进作物模型打下了可靠的基础.通过试验资料验证表明,模型较好地反映了O3和CO2浓度变化对冬小麦生长发育和产量形成的影响.通过敏感性分析得出,模型对温度变化反映灵敏;在CO2浓度倍增情况下,O3浓度变化对冬小麦的复合影响分析看出,一定浓度范围内,CO2可缓解O3对作物影响的负效应,O3对CO2带来的正效应有削弱作用.  相似文献   
4.
O3浓度增加对冬小麦影响的试验研究   总被引:11,自引:2,他引:11  
利用OTC 1型开顶式气室对冬小麦进行不同O3 浓度处理的试验研究。结果表明 ,O3 浓度增加 ,冬小麦发育期表现为开花前期有所延迟 ,开花后期的各发育期明显提前 ,生育期缩短 ,植株矮化 ,干物质累积量明显下降。无论是长时期通气处理还是阶段性通气处理 ,产量均明显降低  相似文献   
5.
对STORM-FESTIOP17一次冬季锋面暴风雪天气过程的斜压边界层结构演变及特征进行了分析。发现:暖湿空气沿锋面抬升凝结成云,产生降水过程中释放的大量潜热显著增加锋两侧的水平温度差异,产生锋生。与锋生相伴,在锋前产生低空急流和高空急流。当锋生至最强时,锋两侧温差可达20K,锋前低空急流开始减弱,锋后低空急流增强,锋后冷平流开始主导锋两侧的环流系统。该冷平流削弱锋两侧的温度水平梯度,产生锋消作用。对这次锋面斜压对流边界层的湍流特征分析表明:在边界层之上切应力wv明显增大;湍能收支分析表明在边界层之上的风切变产生项很强,即大尺度天气系统有利于斜压对流边界层的发展,边界层内各量充分混合。这次冬季锋面暴风雪天气过程,冷锋前的低空南风急流从墨西哥湾携带来的充足水汽及锋区边界层大气的强斜压性是其产生的关键因子:冷锋过后,大尺度高空急流的作用更有利于对流边界层的充分发展。  相似文献   
6.
华北地区农业干旱预测模型及其应用研究   总被引:23,自引:8,他引:23       下载免费PDF全文
对华北地区冬小麦进行了水分胁迫实验,确定了冬小麦光合作用速率对水分胁迫的响应曲线,提出了农业干旱指数和农业干旱预警指数两个基本概念,在此基础上建立了具有明确生物学机理的华北农业干旱预测数值模式。对北京、石家庄、郑州和济南1998年至2000年432旬的农业干旱模拟结果表明:农业干旱预警定性准确率为90.7%,定量准确率在87.5%左右;此外,模拟表明模式也可以对区域农业干旱进行准确有效的预测。利用1961~2000年气象资料对北京等地区历年农业干旱进行数值分析,结果表明:不同于大气干旱,在自然气象条件下,北京等地区作物生长期内几乎每年都存在农业干旱现象,特别是冬小麦灌浆至成熟期每年均存在一次较为严重的农业干旱胁迫过程,但农业干旱胁迫程度年际间存在一定波动,功率谱分析表明其具有3~6年的周期变化规律。对平均气候状况下华北地区农业干旱进行了时空动态分析,结果发现在自然条件下,华北大部分地区冬小麦4月下旬至5月下旬,即大约在冬小麦开花、灌浆至成熟期,农业干旱胁迫指数存在一种自然的逐渐加强的动态过程,这与华北地区的农业生产实践是基本一致的。  相似文献   
7.
青藏高原冬小麦田辐射能量收支的初步研究   总被引:7,自引:0,他引:7       下载免费PDF全文
通过对青藏高原冬小麦田净全辐射各分量的观测资料分析,论述了净全辐射及其各分量的日变化特征;计算得出冬小麦抽穗—乳熟期麦田平均反射率为13.3%,净全辐射占总辐射百分率:白天75%,包括夜间67.4%;指出了净全辐射和总辐射间存在良好的线性关系,给出了由总辐射计算净全辐射的经验公式。  相似文献   
8.
The annual and semi-annual variations of the ionosphere are investigated in the present paper by using the daytime F2 layer peak electron concentration (NmF2) observed at a global ionosonde network with 104 stations. The main features are outlined as follows. (1) The annual variations are most pronounced at magnetic latitudes of 40–60° in both hemispheres, and usually manifest as winter anomalies; Below magnetic latitude of 40° as well as in the tropical region they are much weaker and winter anomalies that are not obvious. (2) The semi-annual variations, which are usually peak in March or April in most regions, are generally weak in the near-pole regions and strong in the far-pole regions of both hemispheres. (3) Compared with their annual components, the semi-annual variations in the tropical region are more significant.In order to explain the above results, we particularly analyze the global atomic/molecular ratio of [O/N2] at the F2 layer peak height by the MSIS90 model. The results show that the annual variation of [O/N2] is closely related with that of NmF2 prevailing in mid-latitudes and [O/N2] annual variation usually may lead to the winter anomalies of NmF2 occurring in the near-pole region. Moreover, NmF2 semi-annual variations appearing in the tropical region also have a close relationship with the variation of [O/N2]. On the other hand, the semi-annual variations of NmF2 in the far-pole region cannot be simply explained by that of [O/N2], but the variation of the solar zenith angle may also have a significant contribution.  相似文献   
9.
渍水麦田土壤水分动态模型研究   总被引:13,自引:1,他引:13       下载免费PDF全文
根据土壤水分平衡原理,建立了一个反映土壤渍水、可与小麦生长模型耦合的土壤水分动态模型,尤其考虑了因地下水位较浅而引起的毛管上升水量和土壤导水率的变化对土壤含水量的影响。采用盆栽小麦水分试验资料验证了日蒸散量的模拟值,利用湖北荆州农业气象试验站和江苏金坛农业气象试验站的土壤水分历史资料对建立的模型进行了综合测试和验证,结果表明:蒸散量、地下水位和0~50 cm土壤含水量的模拟值与实测值具有较好的一致性,模型能可靠地预测多雨和渍水地区麦田土壤水分的变化动态  相似文献   
10.
利用1961—2013年新疆89站逐日气温和NCEP再分析高度场资料,分析了不同气候背景下新疆1961年以来冬季(12月—翌年2月)出现的极端冷(暖)事件年代际变化及与其相联系的环流特征。根据对新疆冬季极端冷(暖)事件的气候背景划分,认为新疆冬季极端冷(暖)事件在不同气候背景中都有明显的不同,全疆冬季极端冷事件存在随气候背景转变而发生区域一致变化的特征,但冬季极端暖事件的变化则有南北反相的区域差异。总体而言,新疆极端冷暖事件发生的日数趋于减少,极端冷暖事件强度也具有显著减小的趋势;北疆西部和天山两侧是气候极端性变化最显著的区域。从冷暖期环流特征的差异来看,北疆型极端冷事件减少的主要原因来自于突变后极涡减弱,而南疆型极端冷(暖)事件减少(增加)则主要受欧亚范围内大片正变高区的影响。  相似文献   
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