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排序方式: 共有581条查询结果,搜索用时 31 毫秒
571.
为探究中国城市规模的演变特征,基于总量统计、位序-规模分析和马尔可夫转移矩阵,利用夜光遥感影像分析了1993-2012年中国省级行政区和经济区的城市规模分布规律及演化.总量统计分析结果表明,所有经济区和省级行政区夜光都呈现增长趋势,其中大西南综合经济区、大西北综合经济区夜光增加比例最大,分别达到257%、254%,省级... 相似文献
572.
滦平盆地桑园营子露头剖面沉积层序的Markov链模拟 总被引:5,自引:0,他引:5
桑园营子露头剖面具有同沉积断层控制的近源、粗粒、陡坡型浅水扇三角洲体系的沉积特征。根据 Markov过程的基本原理 ,认识到桑园营子剖面出露完整的扇三角洲前缘沉积组合( C — C 旋回 )各岩性相之间的转移具有 Markov性质 ,利用转移概率矩阵法及差值矩阵法对该沉积组合进行 Markov链模拟 ,得出了理想的垂向沉积层序模式图。该模式图与实际地层层序吻合较好 ,反映了各岩性相的空间展布特征 ,建立了沉积环境的演化序列。 相似文献
573.
德令哈盆地下侏罗统含煤磨拉石盆地组合是在以冲积扇—扇三角洲沉积体系为主的沉积环境下发育起来的。简要报道研究区冲积扇—扇三角洲体系沉积及其组合特征 ,在此基础上借助马尔科夫链建立冲积扇—扇三角洲体系沉积旋回的结构模式 ,并探讨该结构模式的地质意义。 相似文献
574.
System Analysis of Disaster Prevention Design Criteria for Coastal and Estuarine Cities 总被引:3,自引:0,他引:3
—In China,estuarine and coastal cities are mostly regional economic development centers.Thedisasters by combined effect of upper reach flood,storm surge and typhoon waves are primary obstaclesto the economic development of such cities.Thus the risk analysis and system analysis of flood-stormsurge-wave disaster,economic loss and flood-storm surge control measures play a very important role inthe sustainable development of coastal cities.There are three types of coastal cities for consideration.Thefirst type of city is like Tianjin.The most significant damage is from the upper reach flood.The effect ofstorm surge is negligible,because in the estuary of the Haihe River,tidal locks are built.The Grey MarkovModel(GMM)is used to forecast the flood peak level.GMM combines the Grey system and the Markovtheory into a high-precision model.The predicted flood peak levels are close to the measured data.A syn-thetic model is established for economic assessment,risk analysis and flood-control benefit estimation.Asa n 相似文献
575.
Hamid Gholami Matt W. Telfer William H. Blake Abolhassan Fathabadi 《地球表面变化过程与地形》2017,42(14):2365-2376
Identifying sand provenance in depositional aeolian environments (e.g. dunefields) can elucidate sediment pathways and fluxes, and inform potential land management strategies where windblown sand and dust is a hazard to health and infrastructure. However, the complexity of these pathways typically makes this a challenging proposition, and uncertainties on the composition of mixed‐source sediments are often not reported. This study demonstrates that a quantitative fingerprinting method within the Bayesian Markov Chain Monte Carlo (MCMC) framework offers great potential for exploring the provenance and uncertainties associated with aeolian sands. Eight samples were taken from dunes of the small (~58 km2) Ashkzar erg, central Iran, and 49 from three distinct potential sediment sources in the surrounding area. These were analyzed for 61 tracers including 53 geochemical elements (trace, major and rare earth elements (REE)) and eight REE ratios. Kruskal–Wallis H‐tests and stepwise discriminant function analysis (DFA) allowed the identification of an optimum composite fingerprint based on six tracers (Rb, Sr, 87Sr, (La/Yb)n, Ga and δCe), and a Bayesian mixing model was applied to derive the source apportionment estimates within an uncertainty framework. There is substantial variation in the uncertainties in the fingerprinting results, with some samples yielding clear discrimination of components, and some with less clear fingerprints. Quaternary terraces and fans contribute the largest component to the dunes, but they are also the most extensive surrounding unit; clay flats and marls, however, contribute out of proportion to their small outcrop extent. The successful application of these methods to aeolian sediment deposits demonstrates their potential for providing quantitative estimates of aeolian sediment provenances in other mixed‐source arid settings, and may prove especially beneficial where sediment is derived from multiple sources, or where other methods of provenance (e.g. detrital zircon U–Pb dating) are not possible due to mineralogical constraints. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
576.
T.C. Sharma 《水文科学杂志》2017,62(5):760-773
Methods based on the recursive probability, the extreme number theorem, and Markov chain (MC) concepts were applied to predict drought lengths (duration) on the standardized (termed as standardized hydrological index, SHI) sequences of monthly and annual river flows from Atlantic Canada. Results of the study indicated that the MC-based method is the most efficient, reliable and versatile method for predicting drought durations followed by the extreme-number-based method. The recursive-probability-based method was found to be computationally intensive and less efficient, although it provided a powerful means for calibrating the empirical plotting position formula needed in the MC-based method. The Weibull plotting position formula turned out to be a suitable measure of the exceedance probability in MC methodology for predicting drought lengths in Atlantic Canada. Based on results, it can be inferred that the MC-based method can be extended to MC2 and higher-order chains for predicting drought lengths on SHI sequences. The predictive capability of the extreme-number-theorem-based method is limited only to independent or weakly first-order persistent SHI sequences.
EDITOR D. KoutsoyiannisASSOCIATE EDITOR Q. Zhang 相似文献
577.
地址匹配算法是位置服务的核心关键技术,具有广泛应用前景。在分析现有三类主要的中文地址匹配算法——要素层级匹配法、全文检索法、正则表达式法的基础上,本文提出了基于自然语言理解的中文地址匹配算法。在这个新算法中,建立了空间关系地址模型以解决中文地址抽象问题、地址库逻辑模型以解决地址信息的空间知识表达问题。新算法的完整流程包括 “预处理”、“地址解析”、“地址要素标准化”、“推理匹配”和“匹配登记”等五个环节,本文重点阐述了“地址解析”和“推理匹配”这两个重要环节,分别依据“自然语言理解”中的“中文分词”和“语义推理”原理,对用非结构化的中文自然语言来描述的中文地址进行处理,实现自然语言理解方法与地址匹配之间的结合,从而建立完整的基于自然语言理解的中文地址匹配算法。为验证该算法,开发了“中文地址智能匹配实验系统”,对河南省濮阳市人口库1000条居民地址数据进行匹配,匹配率达到了95%,准确率高于93%。 相似文献
578.
利用边界链编码和HMM进行SAR图像阴影建模和分类 总被引:1,自引:0,他引:1
针对利用合成孔径雷达图像中的阴影信息进行目标识别的问题,提出了一种边界链编码和隐马尔可夫模型(HMM)相结合的合成孔径雷达图像目标识别方法。该方法利用链编码技术来描述SAR图像阴影边界的形状,可以很好地反映形状的特性,且计算上很有效;利用HMM统计建模方法对阴影边界的链编码进行建模和分类,从而实现SAR图像的自动目标识别。使用MSTAR数据库中的SAR图像数据对该方法进行了验证和分析,分类结果证明只利用阴影信息进行分类的可行性,且该方法可以有效地实现SAR图像的目标识别。 相似文献
579.
通过建立状态和乘性色噪声的逆向 Markov模型 ,推导出了带有色乘性噪声随机系统的逆向最优状态滤波器。基于该滤波器给出了节省存储空间的逆向固定区间最优反卷积算法。仿真实例证明了该反卷积算法的有效性 相似文献
580.
Andrea Dalla Torre Paolo Gallo Chris Marshall Angelo Montanari Federico Pittino 《地球空间信息科学学报》2019,22(2):89-106
ABSTRACTThe widespread availability of mobile communication makes mobile devices a resource for the collection of data about mobile infrastructures and user mobility. In these contexts, the problem of reconstructing the most likely trajectory of a device on the road network on the basis of the sequence of observed locations (map-matching problem) turns out to be particularly relevant. Different contributions have demonstrated that the reconstruction of the trajectory of a device with good accuracy is technically feasible even when only a sparse set of GNSS positions is available. In this paper, we face the problem of coping with sparse sequences of cellular fingerprints. Compared to GNSS positions, cellular fingerprints provide coarser spatial information, but they work even when a device is missing GNSS positions or is operating in an energy saving mode. We devise a new map-matching algorithm, that exploits the well-known Hidden Markov Model and Random Forests to successfully deal with noisy and sparse cellular observations. The performance of the proposed solution has been tested over a medium-sized Italian city urban environment by varying both the sampling of the observations and the density of the fingerprint map as well as by including some GPS positions into the sequence of fingerprint observations. 相似文献