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991.
992.
以武汉地区为例,本文推导无线电探空推导的大气加权平均温度模型并对其可靠性进行检验。采用武汉无线电探空数据推算武汉地区的大气加权平均温度计算模型,以此模型计算GPS可降水量,通过与无线电探空结果比较来检验该模型的精确度。在WHDH站GPS可降水量与无线电探空的比较中,两者差值的均方根为3.0mm,两者的相关性达到了0.952。利用中国地壳运动监测网络2002年武汉站GPS数据和武汉地区大气加权平均温度模型推算的可降水量与无线电探空比较,GPS可降水量与无线电探空可降水量在数值上和发展趋势上比较接近,说明了无线电探空的大气加权平均温度模型的可靠性。 相似文献
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995.
介绍了第二次土地调查的工作任务和特点,分析了3S技术的应用,比较了航测与遥感技术在土地调查中的发展,总结了航测法制作大比例尺正射影像底图的工作流程和利用航测软件的立体测图模块绘制图斑地类线的方法。实践证明,利用航测法制作二调工作底图能够提高地类界线的准确度从而提高地类图斑的面积计算与统计的精度;减轻外业调查工作量,优化流程,具有突出的先进性和科学性。 相似文献
996.
大部分控制网建立时采用的起算点为50年代至80年代施测的三角点,起算点的可靠性和兼容性,直接关系到控制网建立的成败。通过大量生产实践数据详细介绍了起算点可靠性和兼容性分析、比较的过程和方法,可在今后生产中借鉴和应用。 相似文献
997.
论述了利用GPS来鉴定机载雷达的测速精度,推导了雷达对目标径向的速度基准值计算公式及其精度计算公式,并计算了该速度基准值及其精度,结果表明:能够满足速度基准值精度要求。强调了在做测速精度鉴定方案时,需要计算在被鉴定速度方向上的速度基准值精度是否满足要求。 相似文献
998.
Employing long‐range correlation, complexity features and clustering, this study investigated the influence of dam and lake‐river systems on the Yangtze River flow. The impact of the Gezhouba Dam and the lake systems on streamflow was evaluated by analysing daily streamflow records at the Cuntan, the Yichang and the Datong station. Results indicated no evident influence of the Gezhouba Dam on streamflow changes. Distinct differences in scaling behaviour, long‐range correlation and clustering of streamflow at the Datong station when compared with those at the Cuntan and Yichang stations undoubtedly showed the influence of water storage and the buffering effect of the lake systems between the Datong station and other two hydrological stations on streamflow in the lower Yangtze River basin. Decreased regularity, enhanced long‐range correlation and increased clustering of streamflow in the lower Yangtze River basin due to the effect of water storage of the lake systems were corroborated. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
999.
Accurate water level forecasts are essential for flood warning. This study adopts a data‐driven approach based on the adaptive network–based fuzzy inference system (ANFIS) to forecast the daily water levels of the Lower Mekong River at Pakse, Lao People's Democratic Republic. ANFIS is a hybrid system combining fuzzy inference system and artificial neural networks. Five ANFIS models were developed to provide water level forecasts from 1 to 5 days ahead, respectively. The results show that although ANFIS forecasts of water levels up to three lead days satisfied the benchmark, four‐ and five‐lead‐day forecasts were only slightly better in performance compared with the currently adopted operational model. This limitation is imposed by the auto‐ and cross‐correlations of the water level time series. Output updating procedures based on the autoregressive (AR) and recursive AR (RAR) models were used to enhance ANFIS model outputs. The RAR model performed better than the AR model. In addition, a partial recursive procedure that reduced the number of recursive steps when applying the AR or the RAR model for multi‐step‐ahead error prediction was superior to the fully recursive procedure. The RAR‐based partial recursive updating procedure significantly improved three‐, four‐ and five‐lead‐day forecasts. Our study further shows that for long lead times, ANFIS model errors are dominated by lag time errors. Although the ANFIS model with the RAR‐based partial recursive updating procedure provided the best results, this method was able to reduce the lag time errors significantly for the falling limbs only. Improvements for the rising limbs were modest. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
1000.
Sensitivity of the Penman-Monteith reference evapotranspiration to sunshine duration in the Upper Mekong River Basin 总被引:1,自引:1,他引:0
Sensitivity analysis is important in understanding the relationship between sunshine duration (SD) and reference evapotranspiration (ETref). This study was developed in the Lancang-Mekong River Basin using a non-dimensional relative sensitivity coefficient (SN) relating ETref to SD. The SN for January and July for each station were calculated. The results indicate that (a) the SD and SN change in similar ways, where January and July are selected as two representative time slices; (b) the spatial distributions of the long-term averaged SN for January and July are the reverse of each other; (c) the most abrupt changes in climate occur in the 1980s and the middle region is sensitive to climate change; and (d) periodicities of 2–4 and 14–16 years are detected in the basin generally. The significant increase of inter-decadal filter variance indicates changes in the long-term memory of the local climate system.
EDITOR Z.W. KundzewiczASSOCIATE EDITOR not assigned 相似文献