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     

双室火灾烟气特性的实验研究

本文在１／２缩尺建筑模型中，取双室－走廊结构，以标准木垛为火源，对建筑火灾的初始阶段进行了实验模拟。着重研究了火灾初期的烟气特性及其变化，包括烟气温度及烟气中ＣＯ＿２气体和炭颗粒浓度。本文目的在于在探索和发展中等尺寸火灾实验模拟手段和方法的同时，定性地确定火源功率对烟气特性的影响，并积累一定的实验数据，为建筑火灾的分析和模化提供实验基础和依据。     

废水中甲酸萃取回收的研究

以ＺＹＭ混合溶剂为萃取剂，以含４．５％的甲酸的废水进行萃取试验，结果表明，ＺＹＭ具有良好的热稳定性和再生性，对废水中的甲酸有较高的萃取率。采用本萃取技术，不但具有显著的环境效益，而且还可回收甲酸，获得较好的经济效益。     

用事故树分析法进行炼厂油罐爆炸事故的环境风险评价

论述了风险、风险评价、环境风险评价的概念及其主要内容，说明利用事故树分析法进行工程环境风险评价的程序和方法。并运用这种方法对某炼厂油罐爆炸事故进行了大气环境风险评价。     

苯乙烯废水活性炭吸附装置的评价及改进研究

对抚顺石化公司化工塑料厂苯乙烯废水活性炭吸附装置的预处理设施、活性炭吸附及再生性能进行了评价，分析了出水水质超标的主要原因，用混凝沉淀－砂滤流程改进了原处理工艺，使出水水质得到了显著改善。     

焦化厂蒸氨废水硫化物处理方法探讨

对焦化厂蒸氨废水中的有机物进行了ＧＣ／ＭＳ分析，发现酚类，吲哚，喹啉和硫醇是主要污染物成分。对旨在降低蒸氨废水硫化物含量的各种处理方法进行了比较。采用ＣＷＺ－０１吸附剂的吸附法能使废水中硫化物降至３０ｍｇ／Ｌ以下。     

物元分析法在大气环境质量评价中的应用

应用物元分析方法构建大气环境质量的综合评价模型，并将该方法用于唐山市大气环境质量评价中，获得了与实际情况基本符合的评价结果。     

建筑火灾区域模拟竖孔流动的计算

本文根据建筑火灾双层区域模拟思想，给出其常微分控制方程组，并分析了其压力求解方法，然后，运用伯努力利方程推导了相邻房间通过矩形竖孔（门或窗）的质量流率计算公式，还讨论了竖孔流动中性面产生条件。在此基础上，结合一两房间、两孔建筑中烟气运动实例，运用Ｃ．Ｗ．Ｇｅａｒ刚性稳定算法对火灾发展及烟气流动过程进行了数值模拟；给出各竖孔中性面位置、数量和各主环境之间通过竖孔的质量流率；还给出各房间气体平均温升、     

Accidents and risk control

A framework for transformation of knowledge and experience from risk analysis to emergency education is presented. An accident model was developed built on the concept “uncontrolled flow of energy (UFOE)”, where essential elements are the state, location and movement of the energy. A UFOE can be considered as the driving force of an accident, e.g. an explosion, a release of heavy gases. A domain model has been developed for representing emergencies occurring in society. A domain is a group of activities with allied goals and elements, and the domain model uses three main categories: status, context and objectives. Ten specific domains have been investigated including process plant, energy production and distribution, natural disasters and different sorts of transport. Totally 25 accident cases were consulted and information was extracted for filling into the schematic representations with two to four cases pr. specific domain.