基于GIS的水资源管理信息系统

地理信息系统（ＧＩＳ）因为其强大的空间数据处理能力,为水资源管理提供了一个新颖、高效的工具。本文深入ＧＩＳ的功能和水资源管理的实际,通过山西汾阳县的应用实例,阐述了应用ＡｒｃｈＩｎｆｏ／ＡｒｃＶｉｅｗ构建水资源管理信息系统过程中的信息收集、储存、分析以及二次开发的方法和过程,分析了两者结合应用的可行性和优越性,并讨论了这种方法在水资源系统模拟、辅助决策支持等方面的广泛应用前景。     

Estimation of information losses on reception of acoustic data by the Aline32D system

The results of determining the relative number of recorded oscillograms for acoustic event intensities of up to 400 1/s in the four-channel Aline32D system for acoustic data reception and processing are presented. Since the internal characteristics of a computer determining the data processing performance are not always available, this problem is solved experimentally. Recommendations concerning the determined working parameters of the Aline32D system are given. This work may be used for the solution of geophysical applied problems.     

天地图·安徽综合服务系统的设计与实现

统计数据基于地理信息的集成,可以弥补传统的统计信息单一、不直观的表现形式,充分发挥其在政府管理决策中所起的重要作用以及对社会发展的导向作用。本文通过研究建立综合统计数据模型,阐述了数据来源、数据组织、空间数据模型建立及查询逻辑。以安徽省综合信息服务系统为例,在基于天地图·安徽的地图服务和Arc GIS API For Flex开发包的基础上,完成Flex框架下的客户端设计,采用Web Service数据通信技术来完成综合统计信息服务系统的设计与实现。     

Spurious Clusters in Granulometric Data Caused by Logratio Transformation

The logratio transformation aims to eliminate spurious correlations between components of compositional data. When applying this method to granulometric data, there arise numerical problems with zero (empty) components. In this paper, the method of logratio transformation with zero replacement is examined using one natural and two simulated granulometric data sets. The results show that this method generates spurious clusters, and thus it is not appropriate for the investigation of grain-size data in particular, and of compositional data with zero components in general.     

ADO．Net编程模型在测绘保障管理系统中的应用

本文主要介绍了基于ADO．Net的数据管理系统的开发研究。它从数据库的构建，系统的具体开发引入到其中几项关键技术的研究，如多数据格式的处理，参数化查询等等。最后对基于ADO．Net的Web型分布式数据库开发作了展望。     

Data selection using support vector regression

Geophysical data sets are growing at an ever-increasing rate, requiring computationally efficient data selection(thinning)methods to preserve essential information. Satellites, such as Wind Sat, provide large data sets for assessing the accuracy and computational efficiency of data selection techniques. A new data thinning technique, based on support vector regression(SVR), is developed and tested. To manage large on-line satellite data streams, observations from Wind Sat are formed into subsets by Voronoi tessellation and then each is thinned by SVR(TSVR). Three experiments are performed. The first confirms the viability of TSVR for a relatively small sample, comparing it to several commonly used data thinning methods(random selection, averaging and Barnes filtering), producing a 10% thinning rate(90% data reduction), low mean absolute errors(MAE) and large correlations with the original data. A second experiment, using a larger dataset, shows TSVR retrievals with MAE < 1 m s-1and correlations 0.98. TSVR was an order of magnitude faster than the commonly used thinning methods. A third experiment applies a two-stage pipeline to TSVR, to accommodate online data. The pipeline subsets reconstruct the wind field with the same accuracy as the second experiment, is an order of magnitude faster than the nonpipeline TSVR. Therefore, pipeline TSVR is two orders of magnitude faster than commonly used thinning methods that ingest the entire data set. This study demonstrates that TSVR pipeline thinning is an accurate and computationally efficient alternative to commonly used data selection techniques.     

Development of FLEMOcs – a new model for the estimation of flood losses in the commercial sector

Abstract

The estimation of flood damage is an important component for risk-oriented flood design, risk mapping, financial appraisals and comparative risk analyses. However, research on flood-loss modelling, especially in the commercial sector, has not gained much attention so far. Therefore, extensive data about flood losses were collected for affected companies via telephone surveys after the floods of 2002, 2005 and 2006 in Germany. Potential loss determining factors were analysed. The new Flood Loss Estimation MOdel for the commercial sector (FLEMOcs) was developed on the basis of 642 loss cases. Losses are estimated depending on water depth, sector and company size as well as precaution and contamination. The model can be applied to the micro-scale, i.e. to single production sites as well as to the meso-scale, i.e. land-use units, thus enabling its countrywide application.

Citation Kreibich, H., Seifert, I., Merz, B. & Thieken, A. H. (2010) Development of FLEMOcs – a new model for the estimation of flood losses in the commercial sector. Hydrol. Sci. J. 55(8), 1302–1314.     

Tuning the second-generation SDI: theoretical aspects and real use cases

Spatial data infrastructure (SDI) actors have great expectations for the second-generation SDI currently under development. However, SDIs have many implementation problems at different levels that are delaying the development of the SDI framework. The aims of this article are to identify these difficulties, in the literature and based on our own experience, in order to determine how mature and useful the current SDI phenomena are. We can then determine whether a general reconceptualization is necessary or rather a set of technical improvements and good practices needs to be developed before the second-generation SDI is completed. This study is based on the following aspects: metadata about data and services, data models, data download, data and processing services, data portrayal and symbolization, and mass market aspects. This work aims to find an equilibrium between user-focused geoportals and web service interconnection (the user side vs. the server side). These deep reflections are motivated by a use case in the healthcare area in which we employed the Catalan regional SDI. The use case shows that even one of the best regional SDI implementations can fail to provide the required information and processes even when the required data exist. Several previous studies recognize the value of applying Web 2.0 and user participation approaches but few of these studies provide a real implementation. Another objective of this work is to show that it is easy to complement the classical, international standard-based SDI with a participative Web 2.0 approach. To do so, we present a mash-up portal built on top of the Catalan SDI catalogues.     

GIS and remote sensing integration for environmental applications

Abstract

The combined use of remotely-sensed images and vector GIS data has received considerable interest in recent years. This review article discusses the historical move towards closer integration of remote sensing and GIS technologies and the requirements of integrated software systems to enable remotely-sensed data to be combined with vector datasets for maximum effect. The benefits of integration to users of both GIS and remote sensing for environmental applications are reviewed and some thoughts are given on terminology and future directions in this field.     

数字地质填图研究现状与发展趋势

数字地质填图是指区域地质调查数据的野外获取及其成果的数字化统一性再现.当前数字地质填图现状和发展趋势已基本上实现了数字填图系统的采集、存储、管理、描述、分析和再现地质实体在地球表面空间分布有关的数据信息.在计算机辅助下, 通过野外观测路线的调查, 对地质、地理、地球物理、地球化学和遥感等多源地学数据进行综合分析和地质制图.在掌上机WindowsCE平台上, 实现了数字填图所需的基本GIS基本功能(GPS定位路线采集、素描), 实现了遥感系统与数字填图系统的一体化整合.