区域PERE系统的通用自组织演化模型

分析了区域人口－经济－资源－环境系统的自组织过程，建立了区域ＰＥＲＥ系统的通用自组织演化模型，并把模型应用于山西省某市，预测了市未来的人口、经济和环境状况试图解决在区域ＰＥＲＥ系统中应用自组织理论时建模困难的问题。     

郑州市生态经济系统问题与管理初探

运用生态学原理探讨了郑州市区域生态经济系统。人口与环境、生态系统彼此适应性与制约性，能源利用与推行清洁生产，资源利用与防治生态破坏。进而，探讨了郑州市生态经济系统管理的宗旨；生态工业建设目标定位于系统整体的最优化，力争使物质在系统中多资循环利用和多功能系统的完全代谢及从能量平衡和转换规律视“三废”为放错位置的“原料”，以及开展和完善城乡复合生态系统。     

Opportunities and constraints for Product-oriented Environmental Management Systems (P-EMS)

Product-oriented Environmental Management Systems (P-EMS) are a logical extension of current, often primarily process- of facility-oriented Environmental Management Systems. The Dutch government promotes P-EMS as part of its product-oriented environmental policies. The idea of P-EMS is to enable producers to make environmentally responsible decisions on product development and product strategies, in collaboration with suppliers and customers. This paper summarises example P-EMS projects in The Netherlands for two segments of industry, namely retail and manufacturing industry. Moreover two other initiatives will be covered that deal with the development of tools to facilitate P-EMS in two other industry sectors (food processing and building). Success factors that emerge from these initial experiences are: focus on partners that have a strong incentive to act, application of screening Life Cycle Assessments (LCA) or user-shells for LCA, and focus on improvements that can be implemented on the short term.     

江苏白垩纪陆相层序地层研究

系统的探讨了区内白垩纪地层的划分与沉积相特征，深入研究了陆相地层的层序发育特征。指出，无论冲积扇、河流、三角洲或湖泊沉积的陆相地层层序均受地层基准面控制。地层基准面穿越旋回控制着陆相环境重大层序分布。根据不同时间间隔的基准面穿越旋回序次，将陆相层序划分为盆地充填层序、构造层序、层序、亚层序及小层序五个级别。每个层序根据基准面波动可划分为基准面上升沉积体系域和基准面下降沉积体系域，并可根据亚层序组的叠置特征进一步细分。根据上述陆相地层层序划分原理，作者将研究区白垩纪陆相地层划分为三个构造层序，并初步将葛村组划分为五个、浦口组四个、赤山组三个和泰州组三个沉积层序。     

安全系统工程Web课件的设计与开发

随着网络教育在我国的蓬勃发展，《安全系统工程》课程面临着教学手段和方式的重要变革，开发适用于网络教育的高质量的课件成了一个非常重要而迫切的课题。对该课程Web课件的设计与开发进行了探讨，综合运用了当今网络课件开发的新技术，规划了课件的总体结构、各模块功能和开发方案，为安全工程学科Web课件的开发提供参考。     

STREAM DISCHARGE PREDICTION VIA A GRID BASED SOIL WATER ROUTING WITH PADDY FIELDS1

ABSTRACT: A grid based daily hydrologic model for a watershed with paddy fields was developed to predict the stream discharge. ASCII formatted elevation, soil, and land use data supported by the GRASS Geographic Information System are used to generate distributed results such as surface runoff and subsurface flow, soil water content, and evapotranspiration. The model uses a single flow path algorithm and simulates a water balance at each grid element. A linear reservoir assumption was used to predict subsurface runoff components. The model was applied to a 75.6 km² watershed located in the middle of South Korea, and observed stream flow hydrographs from 1995 and 1996 were compared to model predictions. The stream flow predictions of 1995 and 1996 generally agreed with the observed flow, resulting in a Nash‐Sutcliffe efficiency R² of 0.60 and 0.62, respectively. The hydraulic conductivity for percolating water through the saturated layer affected baseflow generation. The levee height of the paddy influenced the time and magnitude of the surface runoff, depending on irrigation management. The model will be used for making low flow management decisions by evaluating the role of each land use to stream flow, especially in case of paddy decrease by gradual urbanization of a watershed.     

A Conceptual Framework for Selecting and Analyzing Stressor Data to Study Species Richness at Large Spatial Scales

/ In this paper we develop a conceptual framework for selectingstressor data and analyzing their relationship to geographic patterns ofspecies richness at large spatial scales. Aspects of climate and topography,which are not stressors per se, have been most strongly linked withgeographic patterns of species richness at large spatial scales (e.g.,continental to global scales). The adverse impact of stressors (e.g., habitatloss, pollution) on species has been demonstrated primarily on much smallerspatial scales. To date, there has been a lack of conceptual developmenton how to use stressor data to study geographic patterns of speciesrichness at large spatial scales.The framework we developed includes four components: (1) clarification of theterms stress and stressor and categorization of factors affecting speciesrichness into three groups-anthropogenic stressors, natural stressors, andnatural covariates; (2) synthesis of the existing hypotheses for explaininggeographic patterns of species richness to identify the scales over whichstressors and natural covariates influence species richness and to providesupporting evidence for these relationships through review of previousstudies; (3) identification of three criteria for selection of stressor andcovariate data sets: (a) inclusion of data sets from each of the threecategories identified in item 1, (b) inclusion of data sets representingdifferent aspects of each category, and (c) to the extent possible, analysisof data quality; and (4) identification of two approaches for examiningscale-dependent relationships among stressors, covariates, and patterns ofspecies richness-scaling-up and regression-tree analyses.Based on this framework, we propose 10 data sets as a minimum data base forexamining the effects of stressors and covariates on species richness atlarge spatial scales. These data sets include land cover, roads, wetlands(numbers and loss), exotic species, livestock grazing, surface water pH,pesticide application, climate (and weather), topography, and streams.KEY WORDS: Anthropogenic impacts; Biodiversity; Environmental gradients;Geographic information systems; Hierarchy     

Using digital image projections to visualize forest landscape changes due to management activities and forest growth

A pedagogic problem in forestry and landscape management is to visualize future landscape effects of forest growth and current management activities in the forest. This paper presents a method for forecasting digital image projections of forest landscape dynamics. Static nonlinear regression functions estimate the digital numbers in a Landsat Thematic Mapper image. Regressors used are forest stand variables. By estimating the future forest stand data, based on intermediate treatment and growth, future satellite digital images are created. In a case study example, the future landscape of a forest block in the province of Västernorrland, Sweden, is projected to demonstrate the application of this visualization technique.     

Current status and research on E-waste issues in Asia

Rapid economic growth in Asia and the increasing transboundary movement of secondary resources will increasingly require both 3R endeavors (reduce, reuse, recycle) in each country and appropriate control of international material cycles. Recently, managing electrical and electronic waste (E-waste) has become an important target for domestic and international material cycles from the viewpoints of environmental preservation and resource utilization efficiency. To understand the current status of E-waste issues in the context of international material cycles and to discuss the future tasks related to achieving 3R in the region, we organized the National Institute for Environmental Studies (NIES) E-waste Workshop in December 2004. This article reviews past studies on E-waste and briefly describes the topics presented and discussions held at the workshop. The topics at the workshop included E-waste generation, recycling systems, international trade, and environmental impacts. In addition, we discussed various issues such as terminology, current environmental concerns, and possible solutions. Transboundary shipments of E-waste should be conducted taking into consideration the concept of sustainable development. The direction of future research and possible collaborations are also discussed.     

城市生命线系统的非工程防灾减灾

城市生命线系统的防灾减灾分为工程措施和非工程措施，研究和实践通常都偏重于前者。从工程措施作用的有限性、新型生命线系统灾害的特点及灾害损失类型的变化论证了加强非工程措施的必要性，进而说明了如何从管理体制、技术立法、灾害保险及灾害教育等方面构建城市生命线系统的非工程防灾减灾体系。