某水准路线所经地区现代升降运动的初步探讨

本文主要是利用水准复测资料来阐述某地区的现代升降运动。文中将复、初测高程进行比较,作出了现代地壳运动幅度图,图中看出东都上升幅度小,速度梯度变化也小;西部上升幅度大,速度梯度变化也大。在整个剖面中更可以看出,在较短距离内出现大幅度的隆起,隆起中又有相对凹陷。由实际资料得出,本区现代地壳运动有继承性,并出现三种类型的上升运动:(1)平稳的上升运动;(2)掀斜的上升运动;(3)强烈隆起。     

多源卫星重力场模型精度与频谱分析

针对新一代卫星重力探测技术对地球重力场的频谱贡献问题,该文提出了一种基于GPS/水准数据获取多源卫星重力场模型频谱变化特征的方法。采用GPS/水准外符合检验,有效分析评估了多源卫星重力场模型在中国东、西部地区的精度水平。研究结果表明,以CHAMP、GRACE和GOCE卫星为代表的高-低卫星跟踪卫星、低-低卫星跟踪卫星和卫星重力梯度技术,对地球重力场的频谱贡献分别集中在600km以上的长波和中长波、300km以上的中波、200~350km之间的中短波部分。     

水库群水沙调控的单-多目标调度模型及其应用

为缓解内蒙古河段"二级悬河"形势,以黄河上游沙漠宽谷河段为研究对象,以龙羊峡水库、刘家峡水库为调控主体,开展黄河上游水沙调控研究。建立了输沙量、发电量最大的单目标模型以及多目标模型;分别采用自迭代模拟算法、逐次逼近动态规划算法(DPSA)和改进的非支配排序遗传优化算法(NSGA-Ⅱ)求解模型;设置了初始、常规、优化和联合优化4种方案。通过实例计算,联合优化调度方案的区间总冲刷量达到了0.38亿t,梯级发电量148.22亿kW·h。该方案以较小的电量损失换来了输沙量的大幅度增加,水沙调控效果显著,推荐为最优方案。研究成果量化了水沙调控效果和各目标间的转化规律,为开展黄河上游水沙调控提供了决策依据,具有重要的应用价值和实际指导意义。     

福建省平潭岛东北部软质海崖蚀退特征研究

为了揭示软质海崖的侵蚀机制,现场利用量测方法研究了福建省平潭岛东北部软质海崖的蚀退特征、蚀退模式和影响因素,并利用自制崩解仪测试了砂土和粉质黏土的崩解速率。结果表明,软质海崖滑塌物体积、堆积距离均随海崖高度增加而增大,每次滑塌海崖蚀退距离位于0.08~1.23 m;滑塌物覆盖住崖脚后具有临时保护崖脚的作用,但由于其受到扰动较易发生再次蚀退;崖脚海蚀槽的形成对滑塌起到重要控制作用;降雨、海洋水动力、强风和人为活动是造成蚀退的四大因素;在土体抗侵蚀方面,砂土的抗侵蚀能力最弱,粉质黏土的居中,黏土的最强;现场干燥粉质黏土的崩解速率为2.4 cm/min。     

内蒙古狼山巴音前达门地区黑云斜长片麻岩年代学研究及板块归属

内蒙古西部狼山地区的构造归属争议较大,一直以来没有直接证据证明狼山地区属于华北陆块。本文对内蒙古狼山巴音前达门地区(含石榴子石)黑云斜长片麻岩进行了年代学研究,利用LA- ICP- MS方法进行U- Pb同位素测年,所测试锆石均为岩浆锆石,锆石年龄为1946±9 Ma和1940±12 Ma,代表其原岩的形成年龄,说明狼山地区存在古元古代晚期岩浆作用。从锆石Hf同位素来看,εHf(t) 从-1.3~6.4,其Hf同位素源区既有当时华北克拉通基底物质,又有地幔的贡献,2442Ma的模式年龄指示源岩来源于早元古代地壳增生事件,可能与华北克拉通基底的形成有关。这进一步表明狼山地区同华北陆块中部地区一样,该地区存在有早元古代岩体。对宝音图群碎屑锆石的研究同样说明了狼山地区宝音图群与华北克拉通更具亲缘性,狼山地区在构造属性上可能属于华北陆块一部分。     

面向矿产资源信息的空间关联性分析

关联性分析是综合多源、多类数据,发现和挖掘数据中潜在的相关关系,提取和挖掘数据之间的关联性。该方法对于充分利用地质大数据、发现地质要素之间的共生组合规律具有重要的意义。本文首先基于数据的空间位置,将不同类型的地质空间数据建立联系,形成空间属性数据库;其次应用统计方法,对不同来源数据中的属性特征进行分析,发现热液型金矿的形成与火山作用存在明显相关性;最后基于Apriori算法提取热液型金矿的伴生矿与侵入岩的频繁项集,发现伴生矿与侵入岩酸碱性二者密切相关。因此,在今后的工作中,有望应用空间关联性的方法对地球物理、地球化学、遥感等多源地质数据开展深入的研究分析。     

一种基于属性值变化程度定权的聚类算法

针对经典K-means聚类算法以欧氏距离作为相似度判断法则进行聚类划分,而未考虑聚类对象的各属性值对聚类划分的影响程度存在差异的问题,该文提出了一种基于属性值变化程度定权的聚类算法。通过采用Iris dataset数据进行实验,该算法相对于其他聚类算法获得了更好的聚类效果,且该算法适用于生物物种分类、遥感影像识别等工作领域,能提高聚类运算的精准度。     

青藏高原新生代古高度研究：现状与展望

青藏高原新生代古高度研究是地球系统科学研究中的一个热点、难点和重点,它是解决地球深部动力学、地貌地形演化和气候变化等各部分相互关系的一个关键突破口。目前以古生物和氧同位素为代表的各种古高度计被用来重建青藏高原新生代的古高度历史,但是不同的研究方法所得到的结果并不一致,关于青藏高原何时隆升到现在的海拔高度存在晚上新世、晚中新世和始新世等不同认识。因为古高度结果的差异,所以对于青藏高原新生代的构造隆升过程和动力机制也存在大的争议。本文首先详细的阐述了部分古高度计的应用原理及其各自的优缺点,收集总结了78条青藏高原古高度研究的成果,梳理了目前青藏高原新生代古高度研究的历史和现状。然后在此基础上讨论了目前高原古高度研究的特点和存在的问题,即地层年代学、氧同位素和古生物古高度计结果的协调、“以点带面”、区域研究程度差异较大、替代性指标的多解性、古纬度影响、地质时期温度递减率的不确定性、全球气候变化的影响等特点和问题。最后就存在的特点和问题指出在恢复青藏高原新生代古高度时所需要完善和注意的方面,其中最重要的是注重地层年代学的可靠性。     

A Numerical Investigation on Microphysical Properties of Clouds and Precipitation over the Tibetan Plateau in Summer 2014

In order to improve our understanding of microphysical properties of clouds and precipitation over the Tibetan Plateau (TP), six cloud and precipitation processes with different intensities during the Third Tibetan Plateau Atmospheric Science Experiment (TIPEX-Ⅲ) from 3 July to 25 July 2014 in Naqu region of the TP are investigated by using the high-resolution mesoscale Weather Research and Forecasting (WRF) model. The results show unique properties of summertime clouds and precipitation processes over the TP. The initiation process of clouds is closely associated with strong solar radiative heating in the daytime, and summertime clouds and precipitation show an obvious diurnal variation. Generally, convective clouds would transform into stratiform clouds with an obvious bright band and often produce strong rainfall in midnight. The maximum cloud top can reach more than 15 km above sea level and the velocity of updraft ranges from 10 to 40 m s-1. The simulations show high amount of supercooled water content primarily located between 0 and -20℃ layer in all the six cases. Ice crystals mainly form above the level of -20℃ and even appear above the level of -40℃ within strong convective clouds. Rainwater mostly appears below the melting layer, indicating that its formation mainly depends on the melting process of precipitable ice particles. Snow and graupel particles have the characteristics of high content and deep vertical distribution, showing that the ice phase process is very active in the development of clouds and precipitation. The conversion and formation of hydrometeors and precipitation over the plateau exhibit obvious characteristics. Surface precipitation is mainly formed by the melting of graupel particles. Although the warm cloud microphysical process has less direct contribution to the formation of surface precipitation, it is important for the formation of supercooled raindrops, which are essential for the formation of graupel embryos through heterogeneous freezing process. The growth of graupel particles mainly relies on the riming process with supercooled cloud water and aggregation of snow particles.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.