迭代折射静校正技术在鄂北地震资料处理中的应用

在低速层速度(地表直达波)已知的条件下,利用生产炮初至信息,用加权最小平方法和共轭梯度法建立的折射静校正数学模型,迭代求取长波长、短波长静校正量,在解决鄂尔多斯盆地北部的虚假小幅度构造问题及改善剖面质量方面取得了明显的效果。     

参量阵浅地层剖面测量技术 在近岸海洋工程的应用效果

介绍了海底浅地层声学探测技术的发展情况, 简述了新型参量阵声纳探测的原理和特点, 通过SES-96参量阵测深或浅地层剖面系统在山东半岛海区的应用实例, 对此新型参量阵声纳技术的应用效果进行了分析评价。     

青海湖地区生态环境动态变化遥感监测

由于青海湖地区的生态环境较为脆弱，且人类活动进一步加剧，人口、资源与环境的矛盾日渐突出，因此，近年来．青海湖及其周边地区的生态环境出现了明显变化，主要表现在水位下降及水域面积减小、草原退化、沙质荒漠化土地面积扩大等。文章采用1975年MSS卫星图像及1987、2000年TM卫星图像作为遥感信息源，并结合地理信息系统方法，旨在查明青海满地区耕地、沙质荒漠化土地和水域等生态环境要素的时空演化规律，为青海湖地区实现资源开发与环境协调发展提供科学依据。监测结果表明，25a来，青海湖地区的耕地及沙质荒漠化土地面积出现明显的扩大，而水域面积出现明显缩小，同时由于湖周各河流土壤侵蚀的加剧，在部分河流入湖处泥沙淤积较为严重，生态环境出现明显恶化。     

单一滑面边坡的非稳定蠕变模型分析

对单一滑面边坡的非稳定蠕变分析是边坡稳定性研究的基础。文中对岩质边坡单一滑面的流变变形机制进行了分析，提出了一种能较好反映这一变形机制的非稳定蠕变模型。特别是描述单一滑面边坡的非稳定蠕变破坏阶段，并对其稳定性进行了讨论。结合一些工程实例进行了对比验证，为滑坡灾害的预测和防治提供依据。     

西部煤炭资源调查评价中遥感技术的应用

通过西部煤炭资源勘查对遥感技术的需求以及煤田地质体的可解译性、遥感技术的实际应用效果分析,论述了西部煤炭资源调查评价中遥感技术的重要作用,提出了今后遥感技术的应用建议.     

高速公路桥头跳车病害的分析与治理方法探讨

根据高速公路桥头跳车病害探地雷达检测结果,结合路基实际工程地质资料及沉降观测值,分析出造成此病害的原因是桥与路之间沉降差异所致,故搭板与垫层和垫层与路基之间产生了脱空,造成桥搭板、垫层碎裂而出现了桥头跳车病害.针对病害根源,采用了压密注浆进行搭板加固及重新摊铺沥青混合料进行调坡处理的治理方法.     

渭北东部奥陶系岩溶地下水环境同位素特征分析

本文通过对渭北东部岩溶地下水环境同位素组成特征的研究,分析了大气降水、地表水、地下水三者之间的转化关系,并对研究区岩溶地下水的形成进行了初步探讨,认为大气降水是研究区岩溶地下水的补给源,地表水与地下水之间存在水力联系,地表水对地下水的补给占补给水源的74.3%.西部岩溶裸露区为岩溶水的直接补给区,其周边浅埋区为岩溶水的间接补给区,东南部的岩溶中-深埋区为岩溶水的径流排泄区.     

内蒙古西辽河流域特种玉米品种特性及气候区划

基于玉米本身的特性和用途的不同,将玉米分为高油型玉米、高淀粉型玉米、高赖氨酸型玉米和甜玉米四大类型.根据每种玉米品种对气候条件、土壤类型、地形特征等的不同需求,以通辽地区作为内蒙古东部西辽河流域玉米主产区的示范区,提出了特种玉米的区划指标,并利用GIS技术进行适宜种植区域划分.内蒙古通辽地区大部分农区适宜种植特种玉米,最适宜区、适宜区基本上均位于通辽南部和中部农业区.     

Efficient interpolations to GPS orbits for precise wide area applications

For precise real time or near real time differential GPS positioning in a wide or global area, precise GPS orbits or, alternatively, precise orbital corrections with respect to a reference orbit, such as GPS broadcast ephemerides, must be used. This work tests orbit interpolation methods, in order to represent the GPS orbits and orbital corrections accurately and efficiently for these and other GPS applications. For precise GPS orbits given in the SP3 format at the 15 min interval, numerical tests were conducted using Lagrange and Chebyshev as well as trigonometric polynomial functions. The results have demonstrated that the 19- or 20-term trigonometric function is apparently the most efficient interpolator for a 12 h GPS orbital arc, achieving 1 cm level 3D interpolation accuracy that can meet the requirements of most precise applications. The test results also demonstrated that the 9-term trigonometric function always yields optimal interpolation for a 2 h GPS orbit arc, in terms of interpolation errors, compared to the results when using a different number of terms for the same function or one of the other tested polynomial functions. This is evident from the minimal performance degradation when using the 9-term trigonometric function to interpolate near or at the end of a data interval. By limiting interpolation to the center 15 min to 1.5 h of a 2 h orbit arc, thereby eliminating the need to interpolate near the ends of that interval, users can opt for more terms (11 and 13) or different interpolators to further improve interpolation accuracy. When interpolating the orbital corrections with respect to the GPS broadcast ephemeris, all the tested interpolation functions of 3- to 9-term yield the same suitably accurate results. Therefore, a 3- to 5-term trigonometric function is arguably sufficiently accurate and more efficient for GPS orbital correction messaging in wide area and real time positioning.     

Assessing Similarity of Geographic Processes and Events

The increased availability of spatiotemporal data collected from satellite imagery and other remote sensors provides opportunities for enhanced analysis of geographic phenomena. Much of the new data includes regular snapshots of the environment. Comparison of these snapshots can provide information about changes to the phenomena of interest. However, conventional GIS data models and analytical tools lack capabilities to adequately handle massive multidimensional data. One of the fundamental tools necessary to meet such challenges is query support to retrieve and summarize data according to dynamic geographic phenomena, such as geographic events and processes, of interest. Such query support depends upon abilities to assess spatiotemporal similarity so that data representing geographic events that exhibit the spatiotemporal characteristics of interest can be identified in a GIS database. To this end, this paper introduces a method to assess similarity of geographic events and processes (such as storms) based on their spatiotemporal characteristics (such as distribution of precipitation). We developed six indices to capture static and dynamic characteristics of geographic events and applied the Dynamic Time Warping method to temporal sequences of the six indices to examine the similarity among these events. With a case study, we demonstrated the proposed indices and method capable of comparing spatiotemporal characteristics of events as recorded in a GIS database and categorizing spatiotemporal data into groups of events according to their behavior in space and time.