金融信息风险的防范对策研究

金融系统为了提高自身的竞争能力,缩短交易时间,降低交易成本,增强交易灵活性,越来越广泛地应用计算机及网络技术,但同时金融系统也增加了交易的风险性。笔者从计算机的速度快,交易实时性的特点入手,对信息滞后和决策、黑客和病毒、内部人员的管理不善等各种风险和危害进行了分析;分别提出了改善网络体系结构,加强网上的黑客侵入和病毒防范,确保数据传送的安全性,内部设备和人员管理的防范措施,以确保金融信息系统提供安全服务。     

基于ArcIMS的旅游安全管理系统

结合旅游业的特点,即综合性、敏感性、涉外性或国际性,提出旅游安全管理系统应该包括:灾前的防范系统、灾时的抗灾系统以及灾后的评估善后系统3大部分的设计思路。将相应的旅游重大危险源监控系统的功能定为:以行政监察、社会监督、行业自律和应急救援体系为主的宏观管理系统。阐述了Web GIS的优点并推荐了一种构建Web GIS的新技术———ArcIMS,利用ArcIMS的系统构建的旅游安全管理系统具有功能健全、管理方便、系统成熟和安全可靠的诸多优点;同时整个系统的构建相对于其他Web GIS系统的开发而言,技术难度比较低、开发速度比较快,而且系统运行相对稳定,减轻了系统维护的负担。最后,结合旅游安全信息流的特点,具体阐述了运用ArcIMS作为旅游安全管理系统的平台的合理性和可行性。     

Information Network Topologies for Enhanced Local Adaptive Management

We examined the principal effects of different information network topologies for local adaptive management of natural resources. We used computerized agents with adaptive decision algorithms with the following three fundamental constraints: (1) Complete understanding of the processes maintaining the natural resource can never be achieved, (2) agents can only learn by experimentation and information sharing, and (3) memory is limited. The agents were given the task to manage a system that had two states: one that provided high utility returns (desired) and one that provided low returns (undesired). In addition, the threshold between the states was close to the optimal return of the desired state. We found that networks of low to moderate link densities significantly increased the resilience of the utility returns. Networks of high link densities contributed to highly synchronized behavior among the agents, which caused occasional large-scale ecological crises between periods of stable and high utility returns. A constructed network involving a small set of experimenting agents was capable of combining high utility returns with high resilience, conforming to theories underlying the concept of adaptive comanagement. We conclude that (1) the ability to manage for resilience (i.e., to stay clear of the threshold leading to the undesired state as well as the ability to re-enter the desired state following a collapse) resides in the network structure and (2) in a coupled social–ecological system, the systemwide state transition occurs not because the ecological system flips into the undesired state, but because managers lose their capacity to reorganize back to the desired state. An erratum to this article can be found at .     

Systems thinking in a gas explosion accident – lessons learned from Taiwan

On July 31, 2014, at around 23:57, several huge explosions occurred that lasted for 2 h in Kaohsiung City, Taiwan. As a result of a gas leak from a ruptured underground pipeline, the catastrophic incident destroyed more than 6 km of roads, killed 32 people, injured 321 people, and damaged 3259 buildings. Pipeline explosions have been reported as a repeatedly occurring problem, indicating that (1) complex systems are difficult to manage and control, and (2) humans are unable to effectively learn from experiences of accidents. Initial analyses results reveal that root causes of this incident were a combination of a series of complex chain reactions, which eventually led to propylene leakage and explosion. This is a systematic problem, which can hardly be investigated or analyzed by traditional research approaches. Based on the investigation reports and “systems thinking” method, this study develops causal loop diagrams for the Kaohsiung gas explosion to explore the root causes of the disaster. The research results indicate that (1) this pipeline explosion incident was the result of the chain reactions and was the output of a complex system; (2) the mental model of “production first” and “experience gap” were the root causes of the disaster; and (3) to achieve a higher safety standard, continuous education to improve the mental model of “safety first and safety over production” are essential. The findings of this study may contribute toward the improvement of the standard operating procedure for disaster management and preventing similar incidents in the future.     

活性污泥模型参数实际可识别性研究方法

可识别性研究是参数估计的第一步。对目前应用于活性污泥模型参数实际可识别性研究的三种方法进行了综述,根据模型的复杂程度以及所要研究的参数数量,研究者可选用不同的方法。     

异构环保信息资源整合及归档系统的开发与应用

随着环保信息资源的不断丰富,不同应用系统生成的各种异构数据日益增多,信息孤岛现象十分严重。异构环保信息资源整合及归档系统将分散的信息系统进行有效整合,在异构平台上实现了信息收集、流转及共享利用,全面提升了环保档案的信息化建设水平,为新时期下环保档案信息管理工作提供了一条新途径。     

基于物联网与GIS的环境质量管理信息系统设计

设计了一种基于物联网与GIS技术的环境质量管理信息系统,系统以GIS为主干,辅以物联网技术,将GPS定位模块集成到RFID中,实现数据的快速采集与空间定位。该系统可以充分发挥物联网无线识别与地理信息系统空间数据表达分析能力强的优势,更好地为环境质量管理提供决策支持。     

Towards a capability approach of sustainability

Despite having a strong influence on development policies, theories of sustainability have not paid much attention to the capability approach (CA) thus far. Against this backdrop, the present paper argues for the CA’s usefulness of sustainability. In order to avoid just an additional contribution to the already confusing theoretical situation as well as to rely our exploration of the CA’s aptness for a conception of sustainability on a transparent and comparable basis, we will first identify six adequacy conditions for concepts of sustainability. We will then work out a categorial framework for conceptions of sustainability. Finally we will demonstrate how the CA is a promising candidate for filling in the demands of this framework and what further research will be needed.     

电子政务工程项目档案管理的思考与实践

项目档案管理对于电子政务工程项目的成功实施具有十分重要的意义。通过对电子政务工程项目档案特性的分析,探讨了当前项目档案管理中存在的问题,提出了加强档案管理的措施和建议。并以国家环境信息与统计能力建设项目为例,对项目档案管理流程、手段和要求做了详细论述,为电子政务工程项目档案管理提供了有益的经验借鉴。     

Use of principal component analysis to profile temporal and spatial variations of chlorinated solvent concentration in groundwater

This work aims at evaluating spatial distribution patterns of concentration variations for chlorinated solvents in groundwater, based on principal component analysis and geographic information system (GIS) tools. The study investigates long-time series of chlorinated solvent concentrations in groundwater measured for 18 contaminated industrial sites. The characterization of contaminant plumes and delineation of pollutant sources are essential for choosing appropriate monitoring and remediation strategies, as contaminated groundwaters are characterized by complex patterns of spatial and temporal concentration variability, with wide unpredictable fluctuations over time. The present work describes the results of a new exploratory statistical method called the Variability Index Method (VIM) applied to environmental data to assess the performance of using concentration variations as molecular tracers to reveal aquifer dynamics, industrial impacts, and point sources for contamination plumes. The application of this method provides a useful assessment of controls over contaminant concentration variations as well as support for remediation techniques.