基于支持向量机的湖泊生态系统健康评价研究

利用支持向量机在处理分类问题、小样本问题和泛化推广方面的优势,构建了基于支持向量机的湖泊生态系统健康评价模型.同时,对广州市最大的人工湖——白云湖的水质及生物群落情况进行了监测,最后运用该模型对白云湖生态系统健康状况进行了评价.评价结果表明,白云湖生态系统处于病态状态,不能达到其净化水质的设计作用.建议从提高进水水质、实施湖区截污和丰富生物量3方面改善白云湖生态系统健康水平.与传统熵权综合健康指数法和熵权模糊综合评价法相比,所建模型更加客观、科学地评价了湖泊生态系统健康状况,能够为湖泊生态系统健康管理提供一定依据,具有广阔的应用前景.     

海军航空装备保障统筹图绘制系统的设计与实现

目的研制开发"海军航空装备保障统筹图绘制系统",实现海军航空装备保障管理智能化,有效利用保障资源,提高保障工作效率。方法采用C/S和B/S模式相结合,前台以NevronNETVision为系统开发平台,后台数据管理采用大型关系型数据库SQLServe,通过网络计划技术和AOE网分析技术,实现图形绘制和确定关键路线。结果通过导入Excel工作薄,实现统筹图、甘特图、资源载荷图的自动生成,提供可视化的图形编辑和统筹图的规范性检查,能进行关键路径、时间参数计算和人员负荷分析。结论 "海军航空装备保障统筹图绘制系统"智能、高效,为海军航空装备保障管理智能化提供了技术支持。     

我军"基地化宿营保障系统"建设初探

野营保障在后勤保障领域中地位特殊,是其他保障展开的基础和依托,如何适应现代战争体系作战的要求,实现体系化野营保障,是当今世界军事强国在后勤领域内的研究重点,针对此,通过研究美军"力量提供者系统"、俄军"自主式野战军营系统"和国内"救灾生活系统"等基地化宿营保障系统的研制目标、模块组成和使用情况,并从保障规模设置、功能模块组成、储运条件、保障力量设置与编程和主要运用场景及程序等方面,提出了我军基地化宿营保障系统建设的构想,旨在为提升我军野战条件下宿营保障的质量和效益进行探索。     

基于整体开发管理的国际河流决策支持系统

基于国际河流开发管理的现状，分析国际河流整体开发管理理论的演进。得出整体开发管理决策实施的原则及思路：流域开发管理要以流域边界为界，将整个水系自然联系的区域作为不可分割的整体，进行统一权衡，突出共同利益，流域内开发与流域外开发相结合。以建立多层次的国际合作机构。对国际河流决策支持系统进行设计，即以国际河流流域为体系，各国国内流域测点为单元。国际流域综合协调委员会为决策支持中心、各国流域机构委员会为决策支持分中心。并研究系统的公用信息平台建设，信息开发、管理与维护。河流水资源、水环境实时监控等技术支持系统。实证分析澜沧江-湄公河流域决策支持系统的建设。并指出国际河流水资源的开发与管理，水权等问题有待进一步深入研究。     

我国自然保护区建设中的环境剥夺问题

近年来我国各地大量增长的自然保护区实质上是一种环境剥夺现象。受环境考核体系与推行可持续发展战略需要．加大自然保护区建设力度是地方政府能够采取的比较成熟的环境保护手段。但是．通过博弈模型，可以推导出．受地方财政刚性预算约束．政府在地方自然保护区建设与管理中不能对环境区原有居民落实各项补偿．也难以投入必需的保护性管理费用。于是．在自然保护区管理中．保护区居民与管理机构之间博弈形成的纳什均衡是：居民违反有关规定，尽可能延续以往开发利用环境资源的经济活动。以抗衡自然保护区建设对他们“靠山吃山、靠水吃水”经济模式的压制；管理机构则实施开发性管理，以求自身努力。增加经济收入以保障自然保护区各项基础研究和管理活动。由于经营活动迎合了增加地方财政收入的地方政府经济发展目标。因此。在目前的自然保护区建设中普遍存在各种形式的开发性经营管理活动。但是．由于一些制度缺陷．在这种开发性管理战略中，一些环境区变相为政府权力支配下的环境资源．并借用可持续开发管理名义进一步转变成为某些地方机构与组织的私有环境资产。其后果是使自然保护区制度偏离了政策目标，也使环境区居民丧失了传统的环境支撑作用。对此论点．研究通过对近十年地方自然保护区建设数量的情况分析予以了经验验证。     

Assessing the Institutional Effectiveness of State Environmental Agencies in Turkey

Improving the performance of the state environmental agencies (SEAs) necessitates an effective institutionalization of governmental environmental management functions. There are examples of successful and unsuccessful SEAs in several parts of the world. Analysis and assessment of these cases can deliver useful insights for institution builders. The objective of this article is the assessment of the institutional effectiveness of the SEAs in Turkey through the perceptions of the experts using the Delphi Technique. In this regard, a checklist is developed including 16 criteria and 123 subcriteria to measure the institutional effectiveness of the SEAs. Twenty-eight national and international experts have formed a Delphi panel and evaluated the national and local conditions. Results, based on the perceptions of the experts, indicate that the overall effectiveness of the SEAs is far less than satisfactory. Negative consensus has been reached over the effectiveness of 13 of the16 criteria and 95 of the123 subcriteria; however, no consensus has been achieved over the remainder of the parameters. The survey has also proven that the Delphi Technique can be effectively used for that purpose. Utilization of the checklist method is also useful in diagnosing the problematic components of the SEAs. It is recommended that this approach be used in similar cases elsewhere.     

水资源可持续利用支撑体系能力的基本内涵

本文以山东省水资源利用实际为背景 ,探讨了水资源可持续利用的目标函数及其指标内涵 ,定性定量提出了水资源可持续利用支撑体系应具备的五种能力。     

MULTIPLE CRITERIA ANALYSIS FOR WATER QUALITY MANAGEMENT IN THE NITRA BASIN1

ABSTRACT: This paper presents the implementation of one element of a decision support system (DSS) for regional water quality management, applied to the Nitra River Basin in Slovakia. A model-based, aspiration-led methodology for multicriteria decision support has been used for the study. Several reusable, modular software tools have been developed and implemented: a problem-specific generator to produce the core part of the mathematical programming model, tools for the generation and interactive modification of multicriteria problems, and a solver for the resulting mixed-integer optimization problem. Provided in the paper are the following: a complete formulation of the mathematical model (including the imbedded water quality model), a summary of the aspiration-reservation-led multiple criteria optimization approach applied to decision support, and an overview of results that illustrate the applied approach and provide some interesting insights to the case study.     

The mental health of expatriate and Kosovar Albanian humanitarian aid workers

The mental health consequences of exposure to traumatic events and the risk factors for psychological morbidity among expatriate and Kosovar Albanian humanitarian aid workers have not been well studied. In June 2000, we used standardised screening tools to survey 285 (69.5%) of 410 expatriate aid workers and 325 (75.8%) of 429 Kosovar Albanian aid workers from 22 humanitarian organizations that were implementing health programmes in Kosovo. The mean number of trauma events experienced by expatriates was 2.8 (standard deviation: 2.7) and by Kosovar staff 3.2 (standard deviation: 2.8). Although only 1.1% of expatriate and 6.2% of Kosovar aid workers reported symptoms consistent with the diagnosis for post-traumatic stress disorder, 17.2% and 16.9%, respectively, reported symptoms satisfying the definition of depression. Regression analysis demonstrated that the number of trauma events experienced was significantly associated with depression for the two sets of workers. Organisational support services may be an important mediating factor and should be targeted at both groups.     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.