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901.
利用闽西北三明市的11个县、市1961—2014年5月降雨量资料、常规气象观测资料和NCEP 2.5×2.5°再分析资料等对闽西北历史上5月雨量特多年的降雨量时空分布特征和大气环流特征及其成因进行了分析,结果表明:5月区域性、全区性雨量特多年的环流异常特征是500hPa欧亚中高纬度自西向东环流呈"+-+"的波列分布,鄂霍次克海北侧高度正距平区的稳定少动,起到阻挡冷空气东移的作用,冷空气沿乌拉尔山西侧高度正距平中心前的偏北气流不断南下,使萨彦岭一带高度负距平中心加强,其底部不断分裂小槽东移影响闽西北。925hPa华南北部维持一条稳定切变线;对于2014年5月特例的环流形势分析结果可知,500hPa东亚大槽明显偏东,引导冷空气南下与强大副高西北侧西南暖湿气流交绥在闽西北上空。925hPa闽西北处于气旋式辐合区内。北支槽、南支槽均非常活跃,东移影响闽西北,是导致该地5月区域性降雨量特多的主要原因。 相似文献
902.
辽东湾坳陷东部地区走滑双重构造的发育特征 及其石油地质意义 总被引:6,自引:0,他引:6
在将构造发育特征与走滑双重构造理论模型进行类比分析的基础上,对辽东湾坳陷东部地区的走滑双重构造的发育特征进行了研究,并结合油气勘探实践成果,就其石油地质意义进行了探讨,研究结果表明:在受控于走滑与拉伸并存的多动力源区域地质背景下,辽东湾坳陷新生代构造演化体现了断陷与拗陷、拉张与走滑的叠加效应,NNE走向的辽中1号断裂、辽中2号断裂及辽东断裂的发育不仅控制了辽东湾坳陷东部地区的凸凹格局,其走滑侧接关系也导致了研究区走滑双重构造的发育;辽东凸起是由于辽中2号断裂、辽东断裂走滑弯曲、右行左阶侧接而形成的挤压走滑双重构造,而辽中凹陷在早期拉张断陷基础上,经历了后期走滑作用的改造,其断裂体系的发育体现了辽中1号断裂与辽中2号断裂的右旋右行侧列所产生的拉张走滑双重构造效应;在走滑双重构造的增压带,断裂侧向封堵性强,有利于形成有效的断层圈闭,是油气藏发育的有利区带。 相似文献
903.
贵州西北部基性侵入岩锆石U-Pb年代学、岩石地球化学特征 及其与铅锌成矿关系初探 总被引:1,自引:0,他引:1
贵州西北部发育多处基性侵入岩,总体规模较小(约0.25 Km2),多沿深大断裂侵位,出露于铅锌矿点外围,本文对猫猫厂、凉山两处矿点附近的儿马冲和白岩庆两地小型基性侵入岩进行了重点研究。侵入岩主要岩性为细粒辉长岩,造岩矿物主要为拉长石、普通辉石。SiO2范围为49.60-51.09 wt%,MgO从3.88-4.27 wt %,TiO2为3.69-3.85 wt %。LA-ICP-MS锆石U-Pb定年结果为268.3±7.4 Ma,显示岩浆侵位于二叠纪。基性侵入岩的微量元素蛛网图呈OIB型特征,富集大离子亲石元素(LILE)、轻稀土元素(LREE),亏损重稀土元素(HFEE),相对亏损高场强元素(Nb,Ta),有Sr、Y亏损,Pb富集。(87Sr/86Sr)i范围0.706749~0.707069,(143Nd/144Nd)i范围0.512313~0.512363,εNd(t)范围0.2~1.2;源区熔融深度处于石榴石橄榄岩相深度,可能经历了1-3 %的部分熔融,处于亏损石榴石二辉橄榄岩相向原始石榴石二辉橄榄岩相的过渡区。成岩过程中发生了单斜辉石、斜长石等矿物分离结晶,受到了有限的地壳混染作用,未经历明显的AFC过程。地壳物质在地幔源区中的加入可能是造成地幔富集的主要原因。侵入岩与成矿作用之间的关系,主要通过两方面所表现。一方面是二者间构造活动上的耦合性。另一方面是基性岩在成矿过程中可能发挥了重要的化学屏障层作用。 相似文献
904.
M. T. Bushair Satya Prakash Shashikant Patel R. M. Gairola 《Journal of the Indian Society of Remote Sensing》2016,44(1):67-76
In this paper, Kalpana-1 derived INSAT Multispectral Rainfall Algorithm (IMSRA) rainfall estimates are compared with two multisatellite rainfall products namely, TRMM Multisatellite Precipitation Analysis (TMPA)-3B42 and Global Satellite Mapping of Precipitation (GSMaP), and India Meteorological Department (IMD) surface rain gauge (SRG)-based rainfall at meteorological sub-divisional scale over India. The performance of the summer monsoon rainfall of 2013 over Indian meteorological sub-divisions is assessed at different temporal scales. Comparison of daily accumulated rainfall over India from IMSRA shows a linear correlation of 0.72 with TMPA-3B42 and 0.70 with GSMaP estimates. IMSRA is capable to pick up daily rainfall variability over the monsoon trough region as compared to TMPA-3B42 and GSMaP products, but underestimates moderate to heavy rainfall events. Satellite-derived rainfall maps at meteorological sub-divisional scales are in reasonably good agreement with IMD-SRG based rainfall maps with some exceptions. However, IMSRA performs better than GSMaP product at meteorological sub-divisional scale and comparable with TMPA data. All the satellite-derived rainfall products underestimate orographic rainfall along the west coast, the Himalayan foothills and over the northeast India and overestimate rainfall over the southeast peninsular India. Overall results suggest that IMSRA estimates have potential for monsoon rainfall monitoring over the Indian meteorological sub-divisions and can be used for various hydro-meteorological applications. 相似文献
905.
Wenmei Li Erxue Chen Zengyuan Li Wangfei Zhang Chang Jiang 《Journal of the Indian Society of Remote Sensing》2016,44(1):41-48
Tomo-SAR technique has been used for hemi-boreal forest height and further forest biomass estimation through allometric equation. Backscattering coefficient especially in longer wavelength (L- or P-band) is thought as a useful parameter for hemi-boreal forest biomass retrieval. The aim of this paper is to assess the performance of vertical backscattering power and backscattering coefficient for hemi-boreal forest aboveground biomass (AGB) estimation with airborne P-band data. The test site locates in southern Sweden called Remningstorp test site, and the in-situ forest AGB ranges from 14 t/ha to 245 t/ha at stand level. Multi-baseline P-band Pol-InSAR data in repeat-path mode collected during March and May in 2007 at Remningstorp test site was used. We found that the correlation coefficient (R) between backscattering coefficient of P-band HH polarization and the in-situ forest biomass reached 0.87. The R for P-band VV backscattering power at 5 m is 0.71 and 10 m is 0.72. Backscattering coefficient in HH polarization and vertical backscattering power at 5 m and 10 m were applied to construct a model for hemi-boreal forest AGB estimation by backward step-wise regression and cross-validation approach. The results showed that the estimated forest AGB ranges from 19 to 240 t/ha, and the constructed model obtained a higher R and smaller RMSE, the value of R is 0.91, RMSE is 30.43 t/ha at Remningstorp test site. 相似文献
906.
3D geographic information system software’s (GIS) are widely used in engineering geology applications. This study was performed in the Karsiyaka settlement area for the preparation of engineering geological maps and evaluation of geological structures. Firstly, topographic maps digitized with Arcview GIS 3.2. Engineering geological maps were prepared using site works and digitized with the Rockworks 2006 programme and later stored in GIS-based computer systems. 3D modelling analysis and assessment using a geotechnical database is important to assist decision-making for land use and metro subway line planning, construction site selection, selection of water sources, etc. In this respect, the sub-surface of the study area is fully 3D visualized and useful soil class zonation maps for different depths maps are performed to be used in further studies. At last, after research at this site, the construction applications of Karsiyaka have multiplied. 相似文献
907.
Kiran Chand Thumaty Rakesh Fararoda Suresh Middinti Rajashekar Gopalakrishnan C. S. Jha V. K. Dadhwal 《Journal of the Indian Society of Remote Sensing》2016,44(1):31-39
Reliable and accurate estimates of tropical forest above ground biomass (AGB) are important to reduce uncertainties in carbon budgeting. In the present study we estimated AGB of central Indian deciduous forests of Madhya Pradesh (M.P.) state, India, using Advanced Land Observing Satellite – Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR) L-band data of year 2010 in conjunction with field based AGB estimates using empirical models. Digital numbers of gridded 1?×?1° dual polarization (HH & HV) PALSAR mosaics for the study area were converted to normalized radar cross section (sigma naught - σ0). A total of 415 sampling plots (0.1 ha) data collected over the study area during 2009–10 was used in the present study. Plot-level AGB estimates using volume equations representative to the study area were computed using field inventory data. The plot-level AGB estimates were empirically modeled with the PALSAR backscatter information in HH, HV and their ratios from different forest types of the study area. The HV backscatter information showed better relation with field based AGB estimates with a coefficient of determination (R2) of 0.509 which was used to estimate spatial AGB of the study area. Results suggested a total AGB of 367.4 Mt for forests of M.P. state. Further, validation of the model was carried out using observed vs. predicted AGB estimates, which suggested a root mean square error (RMSE) of ±19.32 t/ha. The model reported robust and defensible relation for observed vs. predicted AGB values of the study area. 相似文献
908.
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