深圳东部引水水源工程水量水质统一管理的可靠性分析

深圳市东部引水工程，是一项缓解深圳市水资源短缺、促进经济稳定发展、重要跨流域调水工程。工程的管理必须考虑水量、水质、社会经济等多方面的因素，基于水量，水质统一管理的可靠性计算，对工程的可持续发展决策与管理是必需的和有实际意义的，分析传统水资源系统可靠性准则的不足之处，结合工程实际，提出了基于水量、水质统一的水资源系统多准则可靠性评价准则，通过可靠性分析，为深圳东部引水水源工程提供了科学合理的运行管     

洛阳石化环境质量管理系统的开发及应用

洛阳石化开发的环境质量管理系统，实现了对环保监测站化验分析数据的自动采集、污染源分析数据的汇总统计分析。统计报表的自动生成和打印。系统建立了以废水、废气重点污染源排放点的污染源自动监测系统，对污染源进行实时监控与分析；系统具备方便直观的数据发布功能和人员、设备、库房等事务管理功能。     

干旱区绿洲系统生态-生产-生活承载力相互作用的驱动机制分析

绿洲系统承载力是生态承载力、生产承载力与生活承载力3种承载力相互耦合的产物。绿洲系统生态-生产-生活承载力相互作用的驱动机制主要通过水资源、投资和人口三大核心因子的驱动进行,实现水资源生态效益、经济效益与社会效益最大化的内在驱动,决定着绿洲系统生态-生产-生活承载力的最佳组合方式。在边际效益递减规律约束下,投资分配的最佳比例取决于单位投资效益的差异。人口通过改变核心驱动因子---水资源与投资的稀缺程度,在绿洲系统生态-生产-生活承载力相互作用驱动机制中起着双重作用。     

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。     

在实践中不断提高安全预评价的质量

笔者结合建设项目劳动安全预评价的工作实践 ,分析了安全预评价中存在的主要问题 ,介绍了首都经贸大学劳动安全卫生评价中心在安全预评价工作中的有益探索和成功经验 ,提出了进一步提高安全预评价质量的建议 ,努力寻求一条使安全预评价质量持续改进、不断提高的有效途径。     

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。     

A值法研究大气总量控制的环境质量达标保证率

在总量控制区用A值法实行总量控制后，总量控制区在符合污染物年允许排放总量限值时，污染物的日平均浓度和小时平均浓度不一定能达到国家或地区大气环境质量标准。为了反映总量控制区环境质量达标情况，本文提出了A值法研究大气总量控制的环境质量达标保证率的概念，通过总量控制A值法的基本原理，给出小时／日环境质量达标保征率的量化公式，经过分析得到；环境质量达标保证率与污染物种类有关，同一污染物的保证率与A值的年分布情况密切相关。同时利用长江下游某地的2000年气象资料分析该地区A值的变化趋势，求得该地区SO2和N02的小时保征率分别为97．4％、90.2％，日保征率分别为90.2％、79．5％。     

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.