台湾海峡及其邻近海域灾害性海浪的时空分布

据１９６６～１９９３年台湾海峡及其邻近海域灾害性海浪观测资料的统计分析得出,东海灾害性海浪平均每年出现１１．４６次,台湾海峡为７．２９次,台湾以东洋面及巴士海峡为１０．１１次;该区灾害性海浪出现次数有显著的年际和月际变化。这些结果可为台湾海峡区域海洋学的发展提供有意义的素材,也为防灾减灾,做好灾害性海浪短期预报和中、长期预测提供一条有效途径。     

海洋预报产品计算机发布／服务软件系统

本文详细介绍了海洋预报产品计算机发布系统和服务系统两套软件的系统功能及组成,并对软件设计中涉及到的关键技术作了说明,这两套软件的产生使各种形式的海洋预报产品通过计算机向用户传送和用户通过计算机查看预报产品成为可能。     

论江西气象预报预测体系改革与建设

从改革思路、主攻方向和业务分工等方面,对江西气象预报预测体系改革与建设的主要内容进行了论述,认为预报预测体系是整个基本业务系统的核心,是实现预报预测准确率提高的关键,应按照中国气象局业务技术体制改革总体方案,结合江西经济社会发展的需要,开展天气、气候、气候变化、农业气象与生态、大气成分、人工影响天气、雷电等多轨道的预报预测业务,并紧紧依托气象基础业务系统,加强与有关部门和行业的合作,围绕提高气象预报预测准确率,以数值预报产品为基础,以信息处理技术为依托,综合利用多种监测资料和预报预测技术方法,以预报人机交互系统为工作平台,加强雷达、卫星等遥感应用产品对多轨道业务的支持,充分发挥预报员的作用,发展多轨道、无缝隙、精细化预报预测业务,连续滚动制作空间上完整、时间上连续的预报预测产品。     

典型降水预报ANN多指标优选——以太湖湖西区为例

为提高多种典型人工神经网络应用于降水预报的精度与稳定性并做出优选,对太湖流域湖西区丹徒、丹阳、金坛、溧阳、宜兴5站的年降水量时间序列建立基于组成成分分析的人工神经网络模型,并通过平均相对误差、平均绝对误差、均方根误差及合格率4项评价指标对比分析预报效果。该模型采用Mann-Kendall法、秩和检验法、谱分析法进行组成成分分析;建立BP网络、小波神经网络、RBF网络、GRNN网络及Elman网络模拟并预测随机成分,与确定性成分叠加得年降水量预报结果。在湖西区的研究结果表明,基于组成成分分析的人工神经网络模型的拟合及预测精度高于原始人工神经网络和线性自回归模型,GRNN网络的预测精度与稳定性高于其他4类神经网络。     

GMS模型的水文水质模拟应用研究

GMS模型是应用广泛的地下水水文模拟系统。以昆山市某古镇为研究区域,采用GMS模型对其水文水质进行模拟研究。通过用概化方法建立水文地质概念模型和数学模型,用反演迭代方法矫正模型的主要参数等过程,分别用MODFLOW和MT3DMS模块模拟和预测了研究区水文水质状况和污染物迁移趋势。数据对比结果显示,模拟值与检测值基本一致,表明校正后的GMS模型能较好再现地下水流系统特征,并能应用于流域污染物扩散过程的模拟和预测中,对地下水污染物的迁移趋势进行分析,以便及时采取有效措施控制污染源。     

Seismic comprehensive forecast based on modified project pursuit regression

In the research of projection pursuit for seismic comprehensive forecast, the algorithm of projection pursuit regression (PPR) is one of most applicable methods. But generally, the algorithm structure of the PPR is very complicated. By partial smooth regressions for many times, it has a large amount of calculation and complicated extrapolation, so it is easily trapped in partial solution. On the basis of the algorithm features of the PPR method, some solutions are given as below to aim at some shortcomings in the PPR calculation: to optimize project direction by using particle swarm optimization instead of Gauss-Newton algorithm, to simplify the optimal process with fitting ridge function by using Hermitian polynomial instead of piecewise linear regression. The overall optimal ridge function can be obtained without grouping the parameter optimization. The modeling capability and calculating accuracy of projection pursuit method are tested by means of numerical emulation technique on the basis of particle swarm optimization and Hermitian polynomial, and then applied to the seismic comprehensive forecasting models of poly-dimensional seismic time series and general disorder seismic samples. The calculation and analysis show that the projection pursuit model in this paper is characterized by simplicity, celerity and effectiveness. And this model is approved to have satisfactory effects in the real seismic comprehensive forecasting, which can be regarded as a comprehensive analysis method in seismic comprehensive forecast.     

Biological soil crusts exhibit a dynamic response to seasonal rain and release from grazing with implications for soil stability

In Northern Mexico, long-term grazing has substantially degraded semiarid landscapes. In semiarid systems, ecological and hydrological processes are strongly coupled by patchy plant distribution and biological soil crust (BSC) cover in plant-free interspaces. In this study, we asked: 1) how responsive are BSC cover/composition to a drying/wetting cycle and two-year grazing removal, and 2) what are the implications for soil erosion? We characterized BSC morphotypes and their influence on soil stability under grazed/non-grazed conditions during a dry and wet season. Light- and dark-colored cyanobacteria were dominant at the plant tussock and community level. Cover changes in these two groups differed after a rainy season and in response to grazing removal. Lichens with continuous thalli were more vulnerable to grazing than those with semi-continuous/discontinuous thalli after the dry season. Microsites around tussocks facilitated BSC colonization compared to interspaces. Lichen and cyanobacteria morphotypes differentially enhanced resistance to soil erosion; consequently, surface soil stability depends on the spatial distribution of BSC morphotypes, suggesting soil stability may be as dynamic as changes in the type of BSC cover. Longer-term spatially detailed studies are necessary to elicit spatiotemporal dynamics of BSC communities and their functional role in biotically and abiotically variable environments.     

流量沿程变化的不平衡输沙含沙量过程预报方法

本文从水沙运动机理出发,将简化的一维不平衡输沙模型与假定河道水量调节为线性水库式调节前提下推导出的河道流量沿程变化模型相结合,建立了冲积性河流含沙量过程预报模型。并利用花园口—夹河滩河段以及龙门—潼关河段水沙资料对模型的模拟效果进行了检验。结果表明,由于模型考虑了流量沿河道纵向上的变化,而使模型的模拟预报效果较单一的一维恒定均匀流不平衡输沙模型有明显改善,含沙量模拟预报效果较满意。     

预报预警在地质灾害防治中的应用

本文介绍了江西地质灾害气象预报模型的建立、计算方法,以及预警预报在地质灾害防治工作中获得的成功,对类似条件地区的地质灾害防治工作,具有一定的借鉴作用。     

火成岩气藏储层预测及勘探技术——以松辽盆地长岭断陷为例

本文以松辽盆地长岭断陷达尔罕断凸带火成岩气藏预测为例,从已钻遇火成岩的钻井资料出发,结合钻井地质信息与地震资料,利用地震特殊处理技术识别火成岩.通过分析结果,研究该区的火成岩分布特征及油气成藏规律,建立判断火成岩的地球物理模式.结合本区域地质资料,预测了本区的火成岩分布,总结出适合本区火成岩构造特征的火成岩气藏识别技术,包括火成岩测井识别技术、火成岩地震剖面反射特征识别技术、火成岩地震相识别技术和地震反演技术等来预测火成岩的空间展布规律,了解火成岩与构造的关系.进而识别火成岩圈闭,总结断陷层系油气成藏组合,为在本区寻找火成岩气藏提供系统分析方法.