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1.
We analyze the time-longitude structure of composite cases from model-assimilated ocean data in the period 1958–1998, following on from earlier work by Huang and Kinter (J. Geophys. Res. 107(C11) (2002) 3199) that studied east–west thermocline variability in the Indian Ocean. Our analysis focuses on the Rossby wave signal along the thermocline ridge in the tropical SW Indian Ocean (10°S, 60–80°E), where wind stress curl is important. Anomalous winds in the equatorial east Indian Ocean force successive Rossby waves westward at speeds of 0.1 m s−1±30%. With a wavelength of 7000 km, the period of oscillation is in the range 1.9–5.2 years. The Indian Ocean Rossby wave is partially resonant with the global influence of the El Nino–Southern Oscillation, except during quasi-biennial rhythm. The presence of the Rossby wave offers potential predictability for east–west atmospheric circulation systems and climate that affect resources in countries surrounding the Indian Ocean.  相似文献   
2.
Effect of some additives on synthesis of zeolite from coal fly ash   总被引:3,自引:0,他引:3  
Hydrothermal conversion of fly ash into zeolites was conducted and the effects of the addition of sodium halide and waste solutions produced after zeolitization of fly ash, as well as the adjustment of the Si/Al ratio prior to synthesis process on the formation and cation exchange capacity (CEC) of zeolite product were evaluated. Both the addition of NaCl and NaF ameliorated the crystallinity and CEC of synthesized zeolite, but NaF had a better improvement effect. Na+ was considered to enhance the crystallization of zeolite, while F favored the dissolution of fly ash. The type of zeolite formed depended on the Si/Al ratio of the starting material prior to the nucleation and crystallization of zeolite. The adjustment of the Si/Al ratio of fly ash by addition of Na2SiO4 and Al(OH)3 changed the type and CEC of zeolite. Waste solutions contained large amount of Si and little Al due to the formation of a zeolite named NaP1 in zeolite terminology with the Joint Committee of Powder Diffraction Standard (JCPDS) code of 39-0219. The alkalinity decreased largely. As a result, the CEC value of zeolite products synthesized with waste solution as alkali source decreased. The supplementation of new alkali to adjust the alkalinity of waste solution could enhance the CEC of synthesized product. It was concluded that: (1) addition of sodium halide and adjustment of the Si/Al ratio prior to synthesis can improve the quality of zeolite; (2) waste solutions produced following the zeolitization of fly ash can be reused as an alkali source in the activation of fly ash; zero-emission of waste solution in the synthesis of zeolite from fly ash is possible.  相似文献   
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4.
山东半岛三个旅游城市的旅游气候舒适度分析   总被引:1,自引:0,他引:1  
该文分析了山东半岛(烟台、青岛和威海市区为代表)2005—2015年夏半年(4—9月)最高温度、相对湿度和风速的气候概况。通过这3种气象要素计算出人体舒适度指数,进而得到影响旅游气候的舒适度:得出山东半岛旅游气候舒适度变化小,在夏半年除4月份外,其他月份舒适度相差不大,其中6月份舒适度最好。山东半岛旅游气候舒适度较好,并且相差不大,其中烟台市和威海市相对湿度和舒适天数要优于青岛市。  相似文献   
5.
我国再生资源企业布局省际差异分析   总被引:3,自引:0,他引:3  
资源再生利用是循环资源的重要组成部分, 是连接资源与环境两大系统的纽带, 对提高资 源利用效率、缓解我国经济发展过程中的资源压力, 减少环境污染、实现可持续发展具有重要意 义。从事资源再生利用的企业则是资源回收再利用过程中最有生命力的组成部分, 对社会的贡献 具有不可替代的作用。研究我国再生资源企业布局、空间分布特征将有助于发现我国在建设“资 源节约型、环境友好型”社会过程中存在的问题, 为及时调整国家相关战略和政策提供可靠依据。 鉴于国内尚没有完整的资源再回收利用统计数据, 本文在我国资源回收与再利用企业调查的基 础上, 设计并开发了包括23 512 个企业在内的我国再生资源企业地理信息系统数据库。为探讨 我国再生资源企业的空间格局及其区域差异的原因, 选取人口总量、城市化水平以及交通运输条 件等14 个因子, 利用逐步回归方法系统分析了影响再生资源企业布局的因素。结果显示, 我国再 生资源企业的空间分布具有从沿海向内地带状分布的规律, 这种规律与经济发达、交通便利、政 策适宜等因素关系密切。资源回收与再利用产业统计工作和空间布局总体规划工作是我国社会 经济中的薄弱环节, 笔者建议启动对我国资源回收与再利用产业大调查计划, 并建议国家统计部 门将我国资源回收与再利用产业纳入到国家常年统计计划; 加强对我国资源回收与再利用产业 空间布局的规划, 及时出台相关的管理和扶持政策并加强标准和监管系统建设, 以减小产生负面 作用的风险。  相似文献   
6.
In this work, we have investigated the evolution of the summer air–sea interaction in the North Atlantic Ocean and the physical processes involved using reanalysis data and model simulation. It is found that an atmosphere disturbance over the North Atlantic Ocean in the preceding winter favors the build-up of a North Atlantic horseshoe-like sea surface temperature anomaly (SSTA) pattern in the summer through modifying the northeast trade winds and changing ocean upwelling and downwelling. The changed ocean condition (SSTA, upwelling, and downwelling) further intensifies the atmosphere disturbance as a positive feedback. The thermal advection of the atmosphere disturbance weakens the SSTA pattern in the following autumn and winter. The anomalous circulation associated with the air–sea interaction in the observations is characterized by a barotropic structure in the middle and high latitudes of the North Atlantic Ocean. The baroclinic component is enhanced in the model simulation, particularly in the seasons from summer to winter. The life cycle of the air–sea interaction is about 1 year in both the observations and simulations.  相似文献   
7.
针对BRISK特征检测算法在遥感影像中匹配时同名点对冗余度高和全局性差等特点,考虑BRISK特征检测算法能获取大量无人机遥感影像特征点,Delaunay三角网算法能够利用影像的BRISK特征点的粗匹配点对构建三角网,本文综合两种算法的优点,提出了一种结合BRISK特征检测算法和Delaunay三角网算法的剔除无人机遥感影像误匹配点对方法。该方法利用两张影像的BRISK粗匹配特征点构建Delaunay三角网,利用遍历两张影像三角网中的三角形相似度剔除错误匹配点对,并利用摄影不变量原理进一步剔除误匹配点对,提高了两张影像的精度;对比分析了Delaunay三角网的射影不变量算法,RANSAC算法分别剔除原始影像组、加入椒盐噪声影像组及旋转影像组的BRISK特征误匹配点对的效果。试验结果表明,3组影像分别利用结合BRISK特征和Delaunay三角网的射影不变量算法的无人机遥感影像匹配方法获得的正确特征匹配点对冗余度低、全局性优。  相似文献   
8.
李伯华  周璐  窦银娣  刘沛林 《地理科学》2022,42(8):1433-1445
在快速推进城镇化的背景下,以湖南省怀化市皇都村为例,基于乡村多功能理论,探究乡村聚落景观风貌演化过程和驱动机制。采用参与式农村评估方法,以Google Earth高清影像数据为基础,通过影像纠正拼接,结合实地调研数据,探究景观风貌的演变特征。研究显示:① 乡村多功能变化与聚落景观风貌变化是相互联系的,具有紧密的相关性;② 皇都村景观风貌演化阶段可分为缓慢且稳定的乡村传统功能型、无组织有方向的乡村生产功能型、矛盾到趋于协同的乡村现代功能型;③ 聚落的生活居住功能、生产保障功能、生态保育功能、商业服务功能、文化传承功能等多功能发展特征明显,多功能协调发展对景观风貌保护和演化具有积极意义;④ 皇都村景观风貌演变是一个动态的持续的过程,是内生驱动力、外源驱动力以及自然驱动力共同作用的外在表现,皇都村从单一的农业生产功能逐步向多功能路径转变,实现了景观风貌的多样性。  相似文献   
9.
以湖南省传统村落张谷英村为例,利用GIS技术构造土地利用转移矩阵,探讨旅游驱动型传统村落“三生”空间功能更新特征和逻辑模式。结果表明:1)张谷英村“三生”功能更新主要表现出生活功能产居一体化、生产功能旅游化、生态功能景观化、旅游功能多样化的旅游适应性特征及圈层分化和阶段有序的时空分异特征。2)张谷英村通过生活空间的人文景观开发与民俗文脉挖掘、生产空间的多元高质旅游服务模块构建、生态空间的生态环境保育与自然景观修复,实现传统物质空间的旅游功能更新和功能融合发展。3)旅游驱动型乡村社会通过供需关系构建、示范效应延伸、主客交往反馈,扩展功能更新范围、加深功能更新程度、提升多元功能质量。“三生”功能的更新存在一种相互促进、相互演化的共生耦合关系,其旅游化过程体现了空间结构有序变迁和空间属性质量提升的协同演化进程,以多功能交互、多层次联动的综合路径推助乡村振兴。  相似文献   
10.
Currently, ensemble seasonal forecasts using a single model with multiple perturbed initial conditions generally suffer from an “overconfidence” problem, i.e., the ensemble evolves such that the spread among members is small, compared to the magnitude of the mean error. This has motivated the use of a multi-model ensemble (MME), a technique that aims at sampling the structural uncertainty in the forecasting system. Here we investigate how the structural uncertainty in the ocean initial conditions impacts the reliability in seasonal forecasts, by using a new ensemble generation method to be referred to as the multiple-ocean analysis ensemble (MAE) initialization. In the MAE method, multiple ocean analyses are used to build an ensemble of ocean initial states, thus sampling structural uncertainties in oceanic initial conditions (OIC) originating from errors in the ocean model, the forcing flux, and the measurements, especially in areas and times of insufficient observations, as well as from the dependence on data assimilation methods. The merit of MAE initialization is demonstrated by the improved El Niño and the Southern Oscillation (ENSO) forecasting reliability. In particular, compared with the atmospheric perturbation or lagged ensemble approaches, the MAE initialization more effectively enhances ensemble dispersion in ENSO forecasting. A quantitative probabilistic measure of reliability also indicates that the MAE method performs better in forecasting all three (warm, neutral and cold) categories of ENSO events. In addition to improving seasonal forecasts, the MAE strategy may be used to identify the characteristics of the current structural uncertainty and as guidance for improving the observational network and assimilation strategy. Moreover, although the MAE method is not expected to totally correct the overconfidence of seasonal forecasts, our results demonstrate that OIC uncertainty is one of the major sources of forecast overconfidence, and suggest that the MAE is an essential component of an MME system.  相似文献   
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