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81.
82.
随着沿海地区经济的快速发展,海岸带空间资源的利用将呈现多样化的特征。海岸带空间功能分区可以优化海岸带空间资源配置,统筹协调海岸带空间开发与保护格局,是海岸带资源可持续利用的重要基础。文章针对海岸带空间的特殊性,构建指标体系,对海口海岸带进行模糊综合评价,探讨海口海岸带空间适宜功能类型,并基于GIS 技术进行功能分区。结果表明:海口海岸带主要功能空间类型为旅游娱乐空间、城镇建设空间、农林渔牧空间和生态保护空间,其面积占比分别为16.84%、21.18%、22.54%、35.77%。其中生态保护空间面积最大,主要分布在海口市东部片区的东寨港。 相似文献
83.
莺琼盆地诸探区中存在底劈现象,深层气源产生的气体沿底劈产生的裂隙通道向上漫溢.漫溢过程中,一是充填在遇到的砂体中形成气藏;二是弥漫在上溢通道中,使得通道中的纵波速度发生变化,进而纵波波阻抗差异变小,反射变弱.另外,通道中气体的存在,会加强地层的吸收衰减,使得地震波振幅变弱、高频成分损失导致同相轴分辨率降低.利用OBC数据进行多波地震勘探和利用黏声介质的叠前深度偏移都是改善模糊区成像质量的重要方法技术.为此,本文提出用黏声介质平面波有限差分法叠前深度偏移成像方法改善气体充填区域的成像质量.黏声介质成像目的是补偿地震波的吸收衰减;平面波偏移成像目的是适应海上单炮数量巨大,提高波动方程叠前深度偏移成像的效率;有限差分法叠前偏移的目的是适应该区浅层气分布局域性极强、Q值的空间变化大的情况.在莺歌海某探区的实际数据上的黏声介质平面波有限差分叠前深度偏移试验证明,本方法是改善模糊区成像质量的较为有效的途径. 相似文献
84.
85.
X 波段双极化雷达对云中水凝物粒子的相态识别 总被引:7,自引:1,他引:6
人工影响天气研究需对云中降水粒子的相态和分布结构进行准确识别,以便提高人工影响天气作业效率.中国科学院大气物理研究所的车载X波段双极化雷达可提供与云中降水粒子大小、形状、相态等特征密切相关的4个极化参数:反射率因子、差分反射率、差分相移率、水平和垂直极化相关系数.利用这4个极化参数加上环境温度作为5个输入参量,建立了降水粒子相态模糊逻辑识别算法,识别的降水粒子有10种:毛毛雨、雨、湿霰、干霰、小雹、大雹、雨加雹、湿雪、干雪、冰晶.利用此雷达的实际观测资料,并与地面和飞机空中实测资料对照,对我国南、北方地区观测的降水天气过程进行分析,结果表明:建立的模糊逻辑算法对云内水凝物粒子的相态识别分类合理. 相似文献
86.
Prediction of coastal hazards due to climate change is fraught with uncertainty that stems from complexity of coastal systems, estimation of sea level rise, and limitation of available data. In-depth research on coastal modeling is hampered by lack of techniques for handling uncertainty, and the available commercial geographical information systems (GIS) packages have only limited capability of handling uncertain information. Therefore, integrating uncertainty theory with GIS is of practical and theoretical significance. This article presents a GIS-based model that integrates an existing predictive model using a differential approach, random simulation, and fuzzy set theory for predicting geomorphic hazards subject to uncertainty. Coastal hazard is modeled as the combined effects of sea-level induced recession and storm erosion, using grid modeling techniques. The method is described with a case study of Fingal Bay Beach, SE Australia, for which predicted responses to an IPCC standard sea-level rise of 0.86 m and superimposed storm erosion averaged 12 m and 90 m, respectively, with analysis of uncertainty yielding maximum of 52 m and 120 m, respectively. Paradoxically, output uncertainty reduces slightly with simulated increase in random error in the digital elevation model (DEM). This trend implies that the magnitude of modeled uncertainty is not necessarily increased with the uncertainties in the input parameters. Built as a generic tool, the model can be used not only to predict different scenarios of coastal hazard under uncertainties for coastal management, but is also applicable to other fields that involve predictive modeling under uncertainty. 相似文献
87.
A challenge of managing data poor fisheries lies in overcoming uncertainties associated with a lack of information on biological and socio-economic conditions. This paper focuses on site prioritisation for marine protected areas, a process that usually imposes moderate to heavy demands on data, time, local expertise, and funds. A fuzzy logic decision support tool for zoning marine areas that is suitable for use in data poor conditions is developed. This tool, the Protected Area Suitability Index (PASI), assesses the suitability of sites for protection based on fishers’ preferences for that site and the site’s conservation value. Only eight input attributes are required to run the PASI, which operates on a series of heuristic rules to estimate a site suitability score that ranges from 0 to 10, where 10 indicates that a site is highly suitable for being protected from fishing. Sensitivity analysis reveals that the PASI is relatively robust, and produces reliable results even as the system is degraded by the loss of data. Eighteen actively fished sites and 11 sites that are closed to fishing are assessed to evaluate how well the PASI is able to distinguish differences between sites. The estimated scores are significantly different (p<0.05), whereby non-fished sites are scored as being more suitable for protection than fished sites. The PASI can be used as a decision support tool to facilitate systematic marine spatial management under data poor conditions, especially in the task of identifying suitable sites for protection. 相似文献
88.
应用NOAA/AVHRR数据测算局地水稻种植面积方法研究 总被引:29,自引:3,他引:29
本文采用在模糊监督分类中增加迭代过程的方法--模糊监督分类一迭代法,在分解混合像元的基础上,利用AVHRR数据求算水稻种植面积。根据稻田与旱地存在温度差异的特点,在分析AVHRR数据统计特征的基础上,增加了第3和4两通道参加模糊监督分类,从而增加了分类橡元值矢量维数,增强了对水稻的鉴别能力。反采用的迭代法是收敛具有效的,经本方法输出的水稻种植面积百分含量图与实际水稻分布十分吻合,测算出的面积值与T 相似文献
89.
以安顺市中心城市规划区作为研究对象,收集、综合分析研究区有关地质资料,结合实地调查、物探、钻探、监测、高精度遥感解译等成果,选取6个一级评价因子,15个二级评价因子,建立研究区基于两级模糊数学综合评判法的岩溶塌陷危险性评价方法体系。在此基础上,量化各级指标及权重取值,开展研究区岩溶塌陷危险性评价。结果显示,安顺市中心城市规划区内总体岩溶塌陷危险性中区和高区所占比重较大,占研究区总面积的70.35%,危险性高区主要分布于头铺—幺铺一线,占研究区总面积的13.56%。评价结果与岩溶塌陷历史事件相符,具有较高的可信度。 相似文献
90.
Identification of coastal water quality by statistical analysis methods in Daya Bay, South China Sea 总被引:3,自引:0,他引:3
Mei-Lin Wu You-Shao Wang Cui-Ci Sun Haili Wang Jian-Ping Yin 《Marine pollution bulletin》2010,60(6):852-5195
In this paper, cluster analysis (CA), principal component analysis (PCA) and the fuzzy logic approach were employed to evaluate the trophic status of water quality for 12 monitoring stations in Daya Bay in 2003. CA grouped the four seasons into four groups (winter, spring, summer and autumn) and the sampling sites into two groups (cluster DA: S1, S2, S4-S7, S9 and S12 and cluster DB: S3, S8, S10 and S11). PCA identified the temporal and spatial characteristics of trophic status in Daya Bay. Cluster DB, with higher concentrations of TP and DIN, is located in the western and northern parts of Daya Bay. Cluster DA, with the low Secchi, is located in the southern and eastern parts of Daya Bay. The fuzzy logic approach revealed more information about the temporal and spatial patterns of the trophic status of water quality. Chlorophyll a, TP and Secchi may be major factors for deteriorating water quality. 相似文献