计算机技术在环境保护信息系统中的应用

结合国内外实际环境系统信息的调研成果和客户需求分析以及环境领域自身的科学规律，论述了7种计算机技术(3S技术、在线监测技术、模型技术、多媒体和可视化技术、人工智能技术、仿真技术和互联网技术)在环境保护信息系统中的应用前景。具有辅助决策功能的综合环境保护信息系统的主要功能包括：(1)信息获取与显示；(2)信息查询；(3)环境信息的分析；(4)环境信息的表达。用计算机技术实现环境保护信息系统的主要功能关键问题在于：(1)系统的有效管理；(2)3S技术与环境模型的融合和集成；(3)专家系统(ES)与3S技术的融合；(4)仿真系统与3S技术的融合：(5)在线监测技术与3S技术的融合；(6)环境系统与Intranet/Internet的融合。     

Designing Cost-Effective Payments for Conservation Measures to Generate Spatiotemporal Habitat Heterogeneity

Abstract:  Many endangered species depend on certain types of agricultural or other forms of human land use. To conserve such species, schemes are set up in which land users receive payments for voluntarily managing their land in a biodiversity-enhancing manner. We developed a model-based framework for designing cost-effective payment schemes that generate spatiotemporal habitat heterogeneity to maximize the survival of multiple species under budget constraints. The framework integrates ecological and economic knowledge and consists of the derivation of an ecological benefit function and a budget function that are then combined to determine the cost-effective degree of spatiotemporal habitat heterogeneity. The ecological benefit function considers the timing of conservation measures, the induced habitat dynamics, and different degrees of substitutability among species. The budget function considers that the conservation agency may lack information about land users' individual conservation costs and personal attitudes and that land users can choose among different conservation measures. We applied the framework to a case study of grassland management, where the survival of three endangered species protected by the EU Habitats Directive depends on different types of land use. The lack of information available to the agency and the choice options of land users reduced the amount of conservation that can be financed with a given budget. Neglecting such findings may lead to an overestimation of the benefits of conservation programs.     

Predicting the Impact of Sea-Level Rise on Caribbean Sea Turtle Nesting Habitat

Abstract:  The projected rise in sea level is likely to increase the vulnerability of coastal zones in the Caribbean, which are already under pressure from a combination of anthropogenic activities and natural processes. One of the major effects will be a loss of beach habitat, which provides nesting sites for endangered sea turtles. To assess the potential impacts of sea-level rise on sea turtle nesting habitat, we used beach profile measurements of turtle nesting beaches on Bonaire, Netherlands Antilles, to develop elevation models of individual beaches in a geographic information system. These models were then used to quantify areas of beach vulnerable to three different scenarios of a rise in sea level. Physical characteristics of the beaches were also recorded and related to beach vulnerability, flooding, and nesting frequency. Beaches varied in physical characteristics and therefore in their vulnerability to flooding. Up to 32% of the total current beach area could be lost with a 0.5-m rise in sea level, with lower, narrower beaches being the most vulnerable. Vulnerability varied with land use adjacent to the beach. These predictions about loss of nesting habitat have important implications for turtle populations in the region.     

Coastal directories and beyond: Providing multidisciplinary coastal zone resource information for resource management

Baseline resource information in an easily accessible form is a vital starting point for developing coastal zone management. On behalf of a wide-ranging group of organizations involved in the management of the U.K. maritime zone, the Joint Nature Conservation Committee (JNCC) is compiling a series of 16 regional volumes. The volumes contain multidisciplinary coastal zone resource information arranged in ten chapters under the general title ‘Coasts and Seas of the UK’. These volumes form part of a series of paper and electronic publications of coastal information being produced by JNCC's Coastal Directories Project and are designed to meet the needs of planners and all others involved in decision-making and management of the coast.     

GIS and geostatistics: Essential partners for spatial analysis

Initially, geographical information systems (GIS) concentrated on two issues: automated map making, and facilitating the comparison of data on thematic maps. The first required high quality graphics, vector data models and powerful data bases, the second is based on grid cells that can be manipulated by suites of mathematical operators collectively termed map algebra. Both kinds of GIS are widely available and are taught in many universities and technical colleges. After more than 20 years of development, most standard GIS provide both kinds of functionality and good quality graphic display, but until recently they have not included the methods of statistics and geostatistics as tools for spatial analysis. Recently, standard statistical packages have been linked to GIS for both exploratory data analysis and statistical analysis and hypothesis testing. Standard statistical packages include methods for the analysis of random samples of cases or objects that are not necessarily co-located in space—if the results of statistical analysis display a spatial pattern then that is because the underlying data also share that pattern. Geostatistics addresses the need to make predictions of sampled attributes (i.e., maps) at unsampled locations from sparse, often expensive data. To make up for lack of hard data geostatistics has concentrated on the development of powerful methods based on stochastic theory. Though there have been recent moves to incorporate ancillary data in geostatistical analyses, insufficient attention has been paid to using modern methods of data display for the visualization of results. GIS can serve geostatistics by aiding geo-registration of data, facilitating spatial exploratory data analysis, providing a spatial context for interpolation and conditional simulation, as well as providing easy-to-use and effective tools for data display and visualization. The value of geostatistics for GIS lies in the provision of reliable interpolation methods with known errors, methods of upscaling and generalization, and for supplying multiple realizations of spatial patterns that can be used in environmental modeling. These stochastic methods are improving understanding of how errors in models of spatial processes accrue from errors in data or incompleteness in the structure of the models. New developments in GIS, based on ideas taken from map algebra, cellular automata and image analysis are providing high level programming languages for modeling dynamic processes such as erosion or the development of alluvial fans and deltas. Research has demonstrated that these models need stochastic inputs to yield realistic results. Non-stochastic tools such as fuzzy subsets have been shown to be useful for spatial analysis when probabilistic approaches are inappropriate or impossible. The conclusion is that in spite of differences in history and approach, the linkage of GIS, statistics and geostatistics provides a powerful, and complementary suite of tools for spatial analysis in the agricultural, earth and environmental sciences.     

九龙江流域规模化养殖环境风险评价

在GIS支持下采用养分收支平衡法对九龙江流域规模化生猪养殖的环境风险进行评价。规模化养殖污染负荷在不同类型养殖场的分配、空间分布规律以及规模化养殖的环境风险评价结果表明：规模化养猪业年产粪尿量达107万t，以小型规模化养殖场产生的污染负荷最高；整体来看，规模化生猪养殖的环境风险不大，但由于养殖场的地理分布集中，造成近郊区域规模化养殖的环境风险极高；由于过多施用化肥，中远郊规模化养殖粪尿未得到合理利用而流失。位于水系附近的养殖场对水体影响较大，根据“福建省畜禽养殖污染防治管理办法”，为减少规模化生猪养殖对九龙江水质的直接威胁，需搬迁主要支流沿岸1km范围内的规模化养猪场250个。     

信息钮安全巡检管理系统在油库的应用

介绍了信息钮巡检管理系统在油库的应用.介绍了信息钮巡检管理系统的硬件构成、线路及岗位的位置、管理软件、系统特点.信息钮安全巡检管理系统可实现对巡检人员科学、准确的考核与监督管理.     

国家环境监理信息系统的研制

分析了建立国家环境监理信息系统的迫切性和可行性。概述了使“国家环境监理信息系统”的结构、工作原理、实现的功能和技术创新之处，并提出了运行国家环境监理信息系统亟待解决的问题。     

信息技术在防治油污染中的应用

从造成重大油污染事件的原因分析及其治理的评估，可以看出信息技术都起着重要作用。随着以互联网、万维网、电子邮件等为特征的现代信息技术的迅速发展，油污染防治也进入了一个新阶段。文中介绍该技术在防治油污染中的应用。