基于GIS的区域地质调查数字制图--以1∶5万<里庄幅>为例

本文以 1∶5万里庄幅为例 ,阐述了运用GIS系统对区调过程中各种资料的处理与编辑方法 ,并介绍了数字制图方法及工艺流程 ,提出了GIS系统在 1∶5万区调工作中的应用前景     

Modeling of the Guagua Pichincha volcano (Ecuador) lahars

Lahars, here defined as debris flows of volcanic origin, are rapid mass movements that pose a serious threat to cities located in the vicinity of many volcanoes. Quito, capital city of Ecuador and placed at the foot of the Pichincha volcano complex, is exposed to serious inundation hazard as part of the city is built on numerous deposits of large lahars that have occurred in the last 10,000 years.The objective of this paper is to model the potential lahars of the Pichincha volcano to predict inundation areas within the city of Quito. For this purpose two models that apply different approaches were utilized and their results were compared.The programs used were LAHARZ, a semi-empirical model conceived by the United States Geological Survey (USGS), and FLO-2D, a hydraulic model distributed by FLO Software Inc. LAHARZ is designed as a rapid, objective and reproducible automated method for mapping areas of potential lahar inundation (Proc. First Int. Conf. on Debris Flow Hazards Mitigation, San Francisco, USA, ASCE, 1998, p. 176). FLO-2D is a two-dimensional flood routing model for simulating overland flow on complex surfaces such as floodplains, alluvial fans or urbanized areas (FLO-2D Users manual, version 99.2). Both models run within geographical information systems (GIS).Fieldwork was focused on collecting all available information involved in lahar modeling. A total of 49 channel cross-sections were measured along the two main streams and stratigraphic investigations were carried out on the fans to estimate the volume of previous events. A global positioning system was utilized to determine the coordinates of each cross-section. Further data collection concerned topography, rainfall characteristics and ashfall thicknesses. All fieldwork was carried out in cooperation with the Instituto Geofisico of the Escuela Politecnica Nacional.Modeling in a GIS environment greatly aided the exportation of results for the creation of thematic maps and facilitated model comparison. Evaluation of the models was performed by comparing simulation results against each other and against the geometry of existing lahar deposits.     

城市震害高危害小区的研究和GIS的实现技术

论述了在城市地震灾害中如何考虑诸方面因素来评价城市的灾害轻重分布情况。中建立坑危害小区分析模型，设想将城市划分等面积网格，给每个单元网格赋予灾害指数，以确定城市中受灾较为严重的区域，为求灾指挥提供决策信息。同时，将高危害小区的模型研究结果转化为计算机技术可以实现的GIS模型。该研究结果已应用于泰安市防震减灾示范研究项目中。     

Evaluating Earthquake-Triggered Landslide Hazard at the Basin Scale Through Gis in the Upper Sele River Valley

To evaluate techniques for assessing earthquake-triggeredlandslide hazard in the Southern Apennines (Italy), a GIS-based analysis was used to modelseismically induced slope deformations. Geological, geotechnical, geomorphological and seismologicaldata were integrated into a standard earthquake slope stability model. The model assessed thelandslide potential that existed during the 1980 Irpinian earthquake in the Upper Sele river Valley.The standard Newmark displacement analysis, widely used for predicting the location of shallowunstable slopes, does not take into account errors and/or uncertainties in the input parameters.Therefore, a probabilistic Newmark displacement analysis technique has been used. Probabilistictechniques allow, e.g., an estimation of the probability that a slope will exceed a certain criticalvalue of Newmark displacement. In our probabilistic method, a Monte-Carlo based simulation modelis used in conjunction with a GIS. The random variability of geotechnical data is modelled by probabilitydensity functions (pdfs), while for the seismic input three different regression laws wereconsidered. Input probability distributions are sampled and the resulting values input into empiricalrelations for estimating Newmark displacement. The outcome is a map in which to each siteis related a spatial probability distribution for the expected displacement in response to seismic loading.Results of the experiments show a high grade of uncertainty in the application of the Newmarkanalysis both for the deterministic and probabilistic approach in a complex geological setting suchas the high Sele valley, quite common in the Southern Apennines. They show a strong dependence onthe reliability of the spatial data used in input, so that, when the model is used at basin scale,results are strongly influenced by local environmental condition (e.g., topography, lithology, groundwatercondition) and decrease the model performance.     

基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例

现代地裂缝在世界许多国家普遍存在 ,已成为当今世界范围内的主要地质灾害之一。本文在详尽分析了山西榆次地裂缝的各个致灾因子的基础上 ,利用GIS技术建立了地质学意义上的专题层 ;然后采用人工神经网络技术构建出了地裂缝灾害活动性的评价模型 ,并建立了地裂缝活动性的评价系统 ,对榆次地裂缝进行了灾害活动性评价 ,为榆次市城建和国土规划等部门的正确决策提供了重要的科学依据     

河北平原水系密度与隐伏活动构造的关系

以1926年出版的比例尺为1：5万的顺直地形图作为基础图件，用地理信息系统技术对河北平原作水系密度计量分析，揭示隐伏在第四纪巨厚的沉积物之下活动构造的信息，研究结果证实水系线密度统计图与使用其它地球科学方法获得的成果，例如基底活动断块图，地貌类型图和第四纪厚度图都有很好的对应，特别与布格重力图对应更好，研究结果发现水系密度图与布格重力异常图在总体一致性较好的前提下，多处反向异常区均为近代强震发生的区域，提出这种地表水系密度统计研究的成果不仅可以揭示深部隐伏的活动构造，而且具有较明确的时间含义。     

构筑于GIS-GPS-GSM技术集成的120急救系统设计

该文介绍了一个基于 3G集成的 12 0急救系统的设计 :信息流的分析 ,系统结构组成 ,以及构建 12 0急救系统的核心技术分析。并对与GIS、GPS技术联系紧密的三个重要部分进行分析 :1)系统构件关系设计 ;2 )数据收录处理 ;3)急救车路径规划。     

旅游信息系统建设模式探讨——以佛山市为例

作为当前旅游信息系统开发的两种主要基础平台，地理信息系统和多媒体制作系统都存在一定的缺陷。多媒体制作系统缺乏旅游地图的有效管理，空间查询，分析和统计功能，旅游地理信息系统则缺乏旅游信息的多媒体表达能力。从实用性和普及性出发，集合二者优点开发模式具有更大的推广应用价值。因此，论文提出在同一界面下基于GIS和多媒体集成的旅游信息系统开发模式；（1）在GIS中增加多媒体信息表达能力，以关系数据库为核心，把多媒体文件名信息存储在地理信息系统属性库，依靠多媒休段实现多媒体数据与地理信息系统图形和属性的关联，实现查询的基本概念；（2）在多媒体系统中开发部分GIS空间查询功能。以此思路，佛山科技学院GIS技术实验室利用VB进行GIS和多媒体二次开发，成功地完成了佛山旅游信息系统的设计和开发。     

GIS与土壤溶质运移模型结合研究进展

地理信息系统对土壤溶质模型研究而言，使用者的要求与GIS所能提供的功能之间，还存在巨大的差距。出于对环境问题的关注，土壤中水分及溶质运移的规律及其对环境的影响，成为当前研究的热点。随着对土壤溶质运移模型研究的深入，一方面由于田间土壤特性具有很大的空间变异；另一方面，在实际应用中，往往溶质运移的宏观特征而非微观特征，具有更重要的意义。将溶质运移模型与GIS技术结合，定量研究空间尺度的溶质运移，成为溶质运移研究的必然发展趋势。由于计算机软硬件技术的发展，GIS正处于一个高速发展的时期。将GIS与溶质运移模型相结合，或者进一步，以GIS理论和技术为基础，建立基于GIS的溶质运移模型，将对溶质运移的规律及其对环境的影响，做出更深入和准确的描述。     

我国低山丘陵区水土流失生态环境背景分析

我国是一个以山地为主的国家，山地多为大江大河的源头，而低山丘陵为这些大江大河支流的发源地，这些区域的水土流失必然会带来环境问题。本文以TM影象为数据源，以GIS为技术支撑，从DEM中获取低山丘陵层，以此为MASK层，提取水土流失及相应的生态环境背景各层，包括土地利用、坡度、年降水、积温、植被等生态背景层，这些背景层是多年数据的平均，然后把水土流失层与环境背景各层分别叠加，分析不同环境背景下水土流失状况，从而为治理水土流失提出科学依据。