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101.
文章结合《资源环境承载能力监测预警技术方法(试行)》,通过分析海洋资源环境承载能力与海上油田环境保护管理的相关性,提出了海上油田全生命周期环境保护管理的新思路。同时结合海上油田的项目特点,探讨了现阶段海洋资源环境承载力监测预警技术在功能区划、管控要求和监测预警中可能存在的不协调、不一致和不断变化的问题,并提出了统一用海类型及其管控要求、差异化政策措施和动态分析的建议。 相似文献
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随着计算机及通信技术的发展,海上设施自动化水平的不断提高,海上设施运营的安全可靠性越来越依赖于自动控制系统,尤其是软件部分。由于软件本身在设计和开发中可能存在的缺陷引起系统故障或失效,将给设施及利益方带来不可估量的损失。文章结合IEC61508系列标准、ISO9000—3标准,针对自动化系统软件有关要求和国际船级社协会及船级社等机构有关规范和标准的内容进行分析研究,系统地分析总结出海上设施软件的认可流程及对应技术要求,为我国海工装备设计制造业提供指导。 相似文献
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Coalbed methane (CBM) is a worldwide exploration target of the petroleum industry. In Brazil, the most important coal-bearing succession is associated with the Permian Rio Bonito Formation of the Paraná Basin. The gas-prone areas are located at the southeastern margin of the Paraná Basin and possibly in the offshore region of the northern part of the Pelotas Basin. Coalfields end abruptly at the present day shoreline, a result of rifting of Gondwana and the evolution of the South Atlantic Ocean. All geologic indicators suggest that in pre-rift times the coal seams extended further eastwards, probably now lying deeply buried below the sedimentary succession of the Pelotas Basin. The present paper discusses structural, stratigraphic, seismic and aeromagenetic data that support the preservation of continental crust beneath ocean sediment. If the coal beds had similar lateral extent to known onshore coals, and coal beds extended across the projected extension of the Parana basin, and there was a conservative 5 m of cumulative coal thickness, then a potential methane volume can be estimated for this newly inferred resource. Average onshore coal gas content is 32 scf/ton (1.00 m3/ton). If this is similar in the offshore coal deposits, then the hypothetical methane volume in the offshore area could be in excess of 1.9 × 1012 scf (56 × 109 m3). Metamorphism from dikes associated with rifting are potential complicating factors in these deposits, and since no borehole reaching the deep-lying strata in the offshore area are available, this is a hypothetical gas resource with a certain level of uncertainty which should be tested in the future by drilling a deep borehole. 相似文献
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Like many other coastal states, management of Canada’s offshore areas is complicated by the division of authority among differing government departments and agencies. However, as a Confederation, this administrative complexity in Canada is further exacerbated by the jurisdictional division of powers between the Federal Parliament and the Provincial Legislatures. The most common tool for overcoming this division and facilitating cooperation are formalized non-binding agreements known as Memoranda of Understanding (MOUs). While there are a large number of MOUs in existence in Canada, few are being implemented. In part, this is because the non-binding nature of the agreement means that either party may discard their obligations at will. This has led to many useful MOUs being discarded and years of work and resources expended negotiating these agreements being wasted. This paper discusses the findings from three such agreements, each focusing on efforts to manage Canada’s offshore resources. It highlights the importance of six factors capable of increasing the likelihood that any given MOU aimed at collaboration between different authorities will be successful. These factors include: a foundation of cooperation, clear statement of priorities, feasible and adaptable work plans, integration at various management levels, a legislative foundation, and adequate financial resources. 相似文献
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The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform. 相似文献
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天津近海小型底栖动物丰度研究 总被引:6,自引:1,他引:5
2006年7月至2007年10月在渤海湾天津近海的15个站位,分春、夏、秋、冬4个航次进行了小型底栖动物丰度的调查.通过对未受扰动沉积物样品中的生物分析,共采集到线虫、桡足类、多毛类、介形类、寡毛类、双壳类、动吻类等小型底栖动物类群和少量未鉴定实体,其中线虫为优势类群,占总丰度的90%以上.调查海域小型底栖动物丰度春、夏、秋、冬依次为(405.4±154.8)ind/10cm2,(417.6±38.6)imd/10 cm2,(161.6±64.5)ind/10cm2和204.7±69.7ind/10 cm2,区内的分布以中部海域居多.小型底栖动物丰度值存在季节变化,春季和夏季平均丰度值较高,夏季略高于春季;秋冬季值偏低.小型底柄动物多分布于沉积物0~5 cm层次,占总量的85.9%~92.9%.春季和秋季的小型底栖动物丰度值与沉积物叶绿素a含量显著相关.与我国近海海域研究资料比较显示,目前渤海湾天津近海小型底栖动物丰度值略低. 相似文献