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101.
102.
在不同的天气条件下,由于气溶胶对光波的散射作用,通过成像系统获得的图像都会有一定程度的退化。利用图像的退化模型可以获取与天气现象相关的参量,从而达到识别天气的目的。对不同天气条件下得到的同一场景图进行研究,运用多垂线检测法,检测出不同天气条件下直线模糊边缘上的灰度值,采用signloid函数拟合出刃边函数,进而求出线扩散函数。通过分析线扩散函数的变化规律,总结出其与天气现象之间的紧密联系。测试结果表明,应用该方法对于晴天、薄雾、雨、霾、沙尘暴等天气现象具有一定的判别效果。 相似文献
103.
利用若尔盖1971-2000年的大风、雷暴、冰雹、积雪、雾及飑的逐年各月气象资料,用现代统计方法,分别逐类、逐月、逐年代统计若尔盖地区旅游气象灾害出现频次、时间变化特征,并对其变化特征及主要旅游气象灾害发生规律进行气候综合分析,结合旅游安全社会经验,统计出若尔盖气象灾害发生月份集中在4-8月,主要是春、夏两个季节。而较少月份集中在8-2月,为秋、冬两季。若尔盖地区适宜旅游期月份为5、6、7、8、9月,非常适宜旅游区月份为6、7、8月,疗养期月份为7月。而该时段为灾害频发期,因此应特别注意对灾害天气的预防和应对。为当地旅游管理部门提供参考,为旅游投资与实施建设提供气象依据,为旅游者选择旅游季节及评估旅游安全提供帮助。 相似文献
104.
通过分析气象数据采集系统的功能需求,确定高精度温湿度智能传感系统总体设计方案,介绍系统的软硬件设计与实现。系统以低功耗LPCI768为主控芯片,配合低功耗、16位串行模数转换芯片AD7792以及低功耗、物理层收发器KSZ8041NL等实现基于以太网的高精度测量、自动采集和实时处理等功能,与现有气象数据采集器相比,具有体积小、功耗低、组网灵活和测量精度高等特点。实验结果表明,高精度智能传感器工作稳定,绝对测量误差在0.06℃内。 相似文献
105.
When water between soil particles is frozen, the strength and stiffness behavior of soils significantly change. Thus, numerous experimental studies in the laboratory have been carried out to characterize the strength and stiffness of frozen soils. The goals of this study are to evaluate the strength characteristics of frozen soils, which underwent confinement in freezing and shearing stages, and to estimate the stiffness variation by shear wave velocity during shear phase. The specimens are prepared in a brass cell by mixing sand and silt with 10% degree of saturation at a relative density of 60%. The applied normal stresses as confining stresses are 5, 10, 25 and 50 k Pa. When the temperature of the specimens is lowered up to-5 °C, direct shear tests are carried out. Furthermore, shear waves are continuously measured through bender elements during shearing stage for the investigation of stiffness change. Test results show that shear strength and stiffness are significantly affected by the confining stress in freezing and shearing phases. This study suggests that the strength and stiffness of frozen soils may be dependent on the confining stresses applied during freezing and shearing. 相似文献
106.
K. D. Hage 《大气与海洋》2013,51(1):8-14
The methods used in an earlier study focusing on the province of Ontario, Canada, were adapted for this current study to expand the study area over eastern Canada where the infrastructure is at risk of being impacted by freezing rain. To estimate possible impacts of climate change on future freezing rain events, a three-step process was used in the study: (1) statistical downscaling, (2) synoptic weather typing, and (3) future projections. A regression-based downscaling approach, constructed using different regression methods for different meteorological variables, was used to downscale the outputs of eight general circulation models to each of 42 hourly observing stations over eastern Canada. Using synoptic weather typing (principal components analysis, a clustering procedure, discriminant function analysis), the freezing rain-related weather types under historical climate (1958–2007) and future downscaled climate conditions (2016–2035, 2046–2065, 2081–2100) were identified for all selected stations. The potential changes in the frequency of future daily freezing rain events can be projected quantitatively by comparing future and historical frequencies of freezing rain-related weather types. The modelled results show that eastern Canada could experience more freezing rain events late this century during the coldest months (i.e., December to February) than the averaged historical conditions. Conversely, during the warmest months of the study season (i.e., November and April in the southern regions, October in the northern regions), eastern Canada could experience less freezing rain events late this century. The increase in the number of daily freezing rain events in the future for the coldest months is projected to be progressively greater from south to north or from southwest to northeast across eastern Canada. The relative decrease in magnitude of future daily freezing rain events in the warmest months is projected to be much less than the relative increase in magnitude in the coldest months. 相似文献
107.
The overall objective of this study is to improve the forecasting accuracy of the precipitation in the Singapore region by means of both rainfall forecasting and nowcasting. Numerical Weather Predication (NWP) and radar‐based rainfall nowcasting are two important sources for quantitative precipitation forecast. In this paper, an attempt to combine rainfall prediction from a high‐resolution mesoscale weather model and a radar‐based rainfall model was performed. Two rainfall forecasting methods were selected and examined: (i) the weather research and forecasting model (WRF); and (ii) a translation model (TM). The WRF model, at a high spatial resolution, was run over the domain of interest using the Global Forecast System data as initializing fields. Some heavy rainfall events were selected from data record and used to test the forecast capability of WRF and TM. Results obtained from TM and WRF were then combined together to form an ensemble rainfall forecasting model, by assigning weights of 0.7 and 0.3 weights to TM and WRF, respectively. This paper presented results from WRF and TM, and the resulting ensemble rainfall forecasting; comparisons with station data were conducted as well. It was shown that results from WRF are very useful as advisory of anticipated heavy rainfall events, whereas those from TM, which used information of rain cells already appearing on the radar screen, were more accurate for rainfall nowcasting as expected. The ensemble rainfall forecasting compares reasonably well with the station observation data. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
108.
Changes in water quality during a storm event were continuously monitored over a 24 h period at a single location along an urban stormwater drain in Butte, Montana. The Butte Metro Storm Drain (MSD) collects groundwater baseflow and stormwater draining Butte Hill, a densely populated site that has been severely impacted by 130 years of mining, milling, and smelting of copper‐rich, polymetallic mineral deposits. On the afternoon of 26 June 2002, a heavy thunderstorm caused streamflow in the MSD to increase 100‐fold, from 0·2 ft3 s−1 to more than 20 ft3 s−1. Hourly discharge and water quality data were collected before, during, and following the storm. The most significant finding was that the calculated loads (grams per hour) of both dissolved and particulate copper passing down the MSD increased more than 100‐fold in the first hour following the storm, and remained elevated over baseline conditions for the remainder of the study period. Other metals, such as zinc, cadmium, and manganese, showed a decrease in load from pre‐storm to post‐storm conditions. In addition to the large flush of copper, loads of soluble phosphorus increased during the storm, whereas dissolved oxygen dropped to low levels (<2 mg l−1). These results show that infrequent storm events in Butte have the potential to generate large volumes of runoff that exceed Montana water quality standards for acute exposure of aquatic life to copper, as well as depressed levels of dissolved oxygen. This study has important implications to ongoing reclamation activities in the upper Clark Fork Superfund site, particularly with respect to management of storm flow, and may be applicable to other watersheds impacted by mining activities. Copyright © 2005 John Wiley & Sons, Ltd. 相似文献
109.
Water potential below a frozen soil layer was continuously monitored over an entire winter period (using thermally insulated tensiometers sheltered in a heated chamber) along with other soil, snow and atmospheric variables. In early winter, the freezing front advanced under a thin snow cover, inducing upward soil water flow in the underlying unfrozen soil. The freezing front started to retreat when the snow cover became thick enough to insulate the soil, resulting in the reversal of the flow direction in the unfrozen zone. These data provide a clear illustration of soil water dynamics, which have rarely been monitored with a tensiometer. Copyright © 2005 John Wiley & Sons, Ltd. 相似文献
110.
牡蛎是我国出口量较大的水产品之一,由于产品本身的特殊性,在生长过程中易产生腹泻性贝毒(DSP).本实验中原料牡蛎DSP生物法检测结果为阴性,冷冻贮存4个月后检测结果即为阳性.本研究以分析这一变化原因为目的,采用LC-MS法对DSP生物检测的阳性样品进行确认,结果表明,生物法DSP检测的结果为假阳性,造成生物法DSP检测中小白鼠死亡的是牡蛎在贮藏过程中产生的脂溶性有毒物质.进一步分析确定该有毒物质为牡蛎脂肪水解物--游离脂肪酸.同时本研究对牡蛎在不同贮存温度和贮存时间下产生的游离脂肪酸含量进行了测定,在-10 ℃贮存温度下,贮存0,2,4,6,8,10个月,游离脂肪酸的变化范围为5.2~788.6 mg/kg;在-10 ℃,-18 ℃,-25 ℃贮存温度下,贮存4个月,游离脂肪酸的变化范围为92.5~389 mg/kg. 相似文献