PPGIS及其在加拿大安大略省核废料处理选址项目中的应用

介绍了公众参与地理信息系统，给出了一个应用项目——加拿大安大略省核废料处理设施选址公众参与地理信息系统。     

长沙黄花国际机场水源地的水文地质条件

长（沙）－平（江）白垩系红层盆地，公认为贫水地区。我院在机场附近找到了单井日产水量〉５３００ｍ＾３的优质地下水，一举解决了长沙黄花国际机场的供水问题。这项勘察成果，不仅解决了机场的水源地，而且对长－平红层盆地的水文地质研究、勘查和找水建井等，均具有现实意义。     

地质雷达在拟建机场隐患调查中的应用

文章结合工程实例，介绍在敦煌机场扩建中采用地质雷达进行古墓不良地质体的勘查，取得明显效果。     

基于GIS的机场噪声预测管理系统

针对我国机场噪声预测工作中存在的问题,根据地理信息系统的固有优势,采用面向对象的编程技术,开发建立基于GIS的机场噪声预测管理系统。按照自下而上的设计思路,将系统分为数据层、业务层和用户层三级结构,并且构建模块化操作,将系统分为GIS操作、噪声预测和信息管理三个模块,通过方便快捷的界面操作,实现了机场噪声预测和影响范围的查询和分析。实验结果表明,该系统能有效提高机场噪声预测和管理工作的效率和质量,为机场规划和航班制定提供及时、准确的决策参考。     

Evaluating urban public facilities of Shenzhen by application of open source data

Abstract

This article applies open source data of public facilities through data mining, not only to evaluate the public facilities from an objective dimension, but also to reflect the sensory opinions of the group factually, eventually realizing the evaluation measurement of urban public facilities. The research takes Shenzhen city as an empirical case and chooses typical public facilities to mine data, resolve address and weight to explore the application of public facilities evaluation under dimension reduction of open source data. The empirical study consists of three parts. First, as the objective evaluation, we estimate the density distribution and per capita of public facility through data mining and address resolution. Second, as the subjective evaluation, we carry on the location analysis to high-score public facility through attention and satisfaction data of Internet evaluation. Finally, as mentioned above, we calculate the weight of objective and subjective evaluation of public facility, eventually formatting the comprehensive evaluation of public facilities.     

中小震近场地震动估计中地震动衰减关系的适用性分析

核工程场地设计基准地震动确定中涉及弥散地震的地震动估计，这导致中小震近场地震动估计成为被关注的研究课题。本文基于一些中小震近场地震动记录资料，分析和探讨了国内外多种地震动衰减关系对中小震近场地震动估计的适用性问题，并结合我国几个核工程地震问题研究工作的实践对中小震近场地震动衰减关系确定的思路和原则提出了建议。     

公共服务设施可达性及其对新建住房价格 的影响——-以北京中心城为例

本文基于北京市公共服务设施的地理空间信息数据, 采用最短距离指标定量分析了商品 住房对教育、医疗、体育、文化、商业、绿地公园等6 大类公共服务设施的空间可达性( 以下简称 “可达性”) , 并通过Hedonic 特征价格模型定量分析可达性对商品住房价格的影响。研究结果表 明: 1) 按照“最短距离”可达性比较, 商品住房对绿地公园、医院和健身场所可达性最好, 而对大型 商场、文化设施、体育场馆的可达性较差; 2) 按照商品住房的区位和价格比较, 城市四环以内和高 价商品住房组别对公共服务设施的可达性明显优于其它组别; 3) 特征价格模型的定量分析表明, 重点高中、球类场馆、文化设施和绿地公园这4 种公共服务设施的可达性越好, 则商品住房价格 越高, 即目前北京市公共服务设施的规划布局在一定程度上被资本化入商品住房价格。     

基于GIS的污水处理设备远程监视技术研究

分析了利用GIS实现设备远程监视的技术优势和关键技术,提出了基于GIS的远程设备监视技术方案,设计并实现了一个基于GIS的远程设备监视实例。     

Galileo和GPS的几点比较

利用GSSF 2.0软件模拟出Galileo系统全球范围的卫星可见性、GDOP、TDOP、PDOP、HDOP、VDOP值,并与GPS进行了比较。     

Preprocessing of gravity gradients at the GOCE high-level processing facility

One of the products derived from the gravity field and steady-state ocean circulation explorer (GOCE) observations are the gravity gradients. These gravity gradients are provided in the gradiometer reference frame (GRF) and are calibrated in-flight using satellite shaking and star sensor data. To use these gravity gradients for application in Earth scienes and gravity field analysis, additional preprocessing needs to be done, including corrections for temporal gravity field signals to isolate the static gravity field part, screening for outliers, calibration by comparison with existing external gravity field information and error assessment. The temporal gravity gradient corrections consist of tidal and nontidal corrections. These are all generally below the gravity gradient error level, which is predicted to show a 1/f behaviour for low frequencies. In the outlier detection, the 1/f error is compensated for by subtracting a local median from the data, while the data error is assessed using the median absolute deviation. The local median acts as a high-pass filter and it is robust as is the median absolute deviation. Three different methods have been implemented for the calibration of the gravity gradients. All three methods use a high-pass filter to compensate for the 1/f gravity gradient error. The baseline method uses state-of-the-art global gravity field models and the most accurate results are obtained if star sensor misalignments are estimated along with the calibration parameters. A second calibration method uses GOCE GPS data to estimate a low-degree gravity field model as well as gravity gradient scale factors. Both methods allow to estimate gravity gradient scale factors down to the 10⁻³ level. The third calibration method uses high accurate terrestrial gravity data in selected regions to validate the gravity gradient scale factors, focussing on the measurement band. Gravity gradient scale factors may be estimated down to the 10⁻² level with this method.