近断层地震动考虑能量损伤效应的非弹性强度需求

由于靠近断层处地震地面运动中速度脉冲作用的存在,导致传统的基于瞬时加速度反应谱的抗震设计,不能有效考虑由此带来的巨大能量耗散和位移需求。笔者采用代表性的脉冲型实际近场地震记录和人工模拟三角函数地震动时程,在分析累积输入地震动耗能和结构位移间关系基础上,提出了等效速度比的表达式;给出了近场地震动的等效变形需求表达式;提出了等价延性系数的概念,来考虑由于地震动能量耗散对结构的强度需求;经非线性时程分析方法对其稳定性进行了验证比较,有利于增强结构的安全性。     

实施OSHMS对企业职业安全健康管理状况影响分析

为了研究实施职业安全健康管理体系(OSHMS)对企业职业安全健康管理状况的影响,对百余家已实施与未实施OSHMS的企业进行了调研,在对调研结果分析研究的基础上,采用双对照分析的方法,对已通过OSHMS认证的企业在建立OSHMS前后的职业安全健康管理状况进行对照比较,以及已建立OSHMS与未建立OSHMS的企业的职业安全健康管理状况进行对照比较,研究结果表明,实施OSHMS有利于提高企业职业安全健康管理的整体水平,改善企业的职业安全健康管理状况,使职业安全健康管理更加科学化和规范化。     

云天化3#循环流化床锅炉项目技术经济分析

云天化股份公司在2004年建造了3#循环流化床锅炉，以煤代气。它可以缓解公司原料天然气的紧张状况，并能带来很大的经济效益。从技术经济的角度对该项目的技术先进性、可靠性及内部收益率、投资回收期、净现值等技术指标进行了分析。     

县级地质灾害防治管理评价指标体系探讨

通过建立评价指标体系,尽可能定量地评价地质灾害防治管理工作,这是地质灾害防治管理工作科学化、规范化的有益补充.在分析建立县级地质灾害防治工作评价指标体系必要性、可行性的基础上,应用工作分析法和经验总结法征求了指标,运用AHP方法建立了评价指标体系结构,采用专家咨询法确定了权重,提出了一套由16个指标(含40项分指标)构成的较为完整的县级地质灾害防治管理工作评价体系.最后,应用所建立的评价指标体系对部分县进行了评价,验证了评价指标的准确性.     

中国水灾社会脆弱性评估方法的改进与应用--以长沙地区为例

中国是洪水灾害发生频繁的国家之一,研究水灾脆弱性对中国的灾害风险管理有重要的意义.但是,合理评估脆弱性尤其是社会脆弱性却面临着极大的挑战.论文对评估社会脆弱性指数的研究现状进行了分析,指出了传统评估方法存在的问题,并尝试改进Hoovering评估模式.选择湘江流域的长沙地区为研究区,应用改进模型对研究区进行了社会脆弱性指数的评估.结果表明,长沙地区社会脆弱性从1980年至2000年基本处于下降趋势,但是在2002年和2003年增长迅速.2003年,长沙5区4县中社会脆弱性指数最大的是开福区,其次是长沙县,而宁乡县的社会脆弱性指数最低.     

地震灾害对中国农村居民的影响研究--以云南省大姚县为例

通过对2003年7月21日和10月16日分别发生6.2和6.1级地震的云南省大姚县居民的问卷调查,分析了地震灾害对中困农村居民的影响,了解了我国农村居民尤其是地震多发区农村居民对地震灾害的风险意识以及在地震灾害中的反应.调查结果表明:中国农村居民是地震灾害的最大受害者和风险承担者.虽然他们会在地震灾害中汲取经验教训,增强风险防范意识,但是由于经济水平、自然环境等客观条件的影响,他们只能被动地承受地震灾害,而不能从根本上改变承灾体的脆弱性.中国农村地震减灾、防灾能力的加强需要政府管理部门的积极参与.     

企业可持续发展评价指标体系的选定原则及构建框架

为了制定企业可持续发展的战略决策,须制定可持续发展的指标体系,并依据这一体系对数据和资料进行收集、整理和分析,从而确定可靠而有效的政策方针。文中论述了可持续发展指标体系的定义、选定标准、原则和可持续发展的评价指标体系,提出了压力-状态-响应框架模型以及不同层次的指标体系框架。该指标体系分为总体层、系统层、状态层、变量层和要素层五个等级。对于持续发展的表征指标及对目前发展的可持续性评估,还需要长时间和切合实际的探讨。     

清洁生产纳入环境影响评价的意义

当前的环境影响评价在某种程度上更侧重于环境的末端治理,无法将污染控制与生产过程控制密切结合,资源和能源不能在生产过程中得到充分利用.而清洁生产在这方面却有着独特的特点和优势.根据清洁生产与环境影响评价的内在联系,尽快地将清洁生产纳入环境影响评价是具有重要意义的,清洁生产应该成为环境影响评价报告撰写中的重要内容.     

The Water Fluxes of the Yellow River to the Sea in the Past 50 Years, in Response to Climate Change and Human Activities

Since the 1970s, the water fluxes to the sea of the Yellow River have declined significantly. Based on data of precipitation, air temperature, the measured and “natural” river flow, the water diversion and consumption, and the areas of erosion and sediment control measures over the drainage basin, water fluxes to the sea of the Yellow River are studied in relation with the influences of changing climate and human activities. The Yellow River basin can be divided into different water source areas; multiple regression indicates that the variation in precipitation over different water source areas has different effect on water fluxes to the sea. In the period between 1970 and 1997, averaged air temperature over the whole Yellow River increased by about 1.0°C, from 16.5°C to 17.5°C, a factor that is negatively correlated with the water yield of the Yellow River. Water diversion and consumption has sharply increased and resulted in a significant decline in the water fluxes to the sea. Since the 1960s, erosion and sediment control measures have been practiced over the drainage basin. This factor, to a lesser degree, is also responsible for the decrease in water fluxes to the sea. A multiple regression equation has been established to estimate the change in water fluxes to the sea caused by the changes in precipitation, air temperature, water diversion and consumption, erosion, and sediment control measures, indicating that the contribution of water diversion and consumption to the variation in annual water flux to the sea is 41.3%, that of precipitation is 40.8%, that of temperature is 11.4%, and that of erosion and sediment control measures is 6.5%.     

Quantifying and Evaluating Ecosystem Health: A Case Study from Moreton Bay, Australia

As part of the program monitoring the ecosystem health of Moreton Bay, Queensland, Australia, we developed a means for assessing ecosystem health that allows quantitative evaluation and spatial representations of the assessments. The management objectives for achieving ecosystem health were grouped into ecosystem objectives, water quality objectives, and human health objectives. For the first two groups, aspects of the ecosystem (e.g., trophic status) were identified, and an indicator was chosen for each aspect. Reference values for each indicator were derived from management objectives and compared with the mapped survey values. Subregions for which the indicator statistic was equal to or better than the assigned reference value are referred to as “compliant zones.” High-resolution surface maps were created from spatial predictions on a fine hexagonal grid for each of the indicators. Eight reporting subregions were established based on the depth and predicted residence times of the water. Within each reporting subregion, the proportion that was compliant was calculated. These results then were averaged to create an integrated ecosystem health index. The ratings by a team of ecosystem experts and the calculated ecosystem health indices had good correspondence, providing assurance that the approach was internally consistent, and that the management objectives covered the relevant biologic issues for the region. This method of calculating and mapping ecosystem health, relating it directly to management objectives, may have widespread applicability for ecosystem assessment.