分光光度法与标准法测定水质中COD的对比实验

对ＣＯＤ用分光光度法和标准法两种方法进行了对比测定实验．结果表明，分光光度法可消除标准法的二次污染并适合于排放废水中含ＣＯＤ在５００ｍｇ／Ｌ以下的如纺织，医药、轻工、机械、公交等单位的污水测试．     

环境监测站如何通过盲样和加标回收考核

探讨了盲样和加标回收两种实验室考核中应注意的细节,介绍了通过考核的一些经验技巧,为实验人员提供了值得借鉴的信息。     

陕西省区域性自然灾害脆弱性评价研究

自然灾害脆弱性评价研究对于提高区域防灾减灾能力具有重要现实意义。以陕西省10市1区为例,选取6个子系统29项指标,运用均方差赋权法对陕西区域性自然灾害脆弱性进行评价研究。结果表明:自然条件、经济和基础设施3个子系统是影响陕西省区域性自然灾害脆弱性的主要因素;经济、社会和基础设施等因素是区域应灾能力的重要表现,直接影响着区域自然灾害脆弱性的高低;陕西省区域性自然灾害脆弱性具有显著的时空分布特征,关中平原及陕南秦巴山区各地级市、区自然灾害脆弱性高于陕北地区。     

关于使用硫代硫酸钠溶液省略标定过程的讨论

通过实验证明使用低浓度的硫代硫酸的钠标液时，可用已配制标定好的硫代硫酸钠标准贮备液直接稀释使用，不需重新标定。此法切实可行，完全能满足样品分析的要求，既省时省力，又节约试剂，值得推广。     

低压细水雾控制高架仓库实体火灾的实验研究

高架仓库的建筑和储存特点导致其火灾危险性远大于普通仓库,因此高架仓库的消防系统设计研究日益受到重视。目前,高架仓库主要采用的是ESFR自动灭火系统,细水雾灭火系统的应用还较少。通过低压细水雾灭高架仓库实体火灾的实验,记录喷头工作压力、实验点火时间、开始喷水时间、灭火时间及燃烧物的损失量,分析温度、热辐射强度以及喷头流量数据。结果表明:在限定的仓库高度以及货架高度条件下,低压细水雾灭火系统能够有效保护高架仓库,且较其它水喷淋灭火系统用水量少,造成货物的水渍损失小。     

我国《新化学物质环境管理办法》修订探讨

介绍了我国新化学物质环境管理的相关要求；结合国际新化学物质环境管理经验和近年国内生态环境保护形势的要求，分析了我国新化学物质环境管理制度存在的主要问题；从调整管理类别、明确物质范围、简化申报类型、建立排查机制、强化主体责任、授权技术内审、简化信息报告、完善相关内容等方面对我国《新化学物质环境管理办法》的修订完善进行了探讨。     

电缆燃烧试验新旧标准的火灾动力学仿真对比分析

为了研究国家标准的变化对成束电缆燃烧试验的影响，使用FDS软件进行电缆燃烧性能的火灾动力学模拟研究。对新旧国家标准进行燃烧模拟，比较分析箱体温度、热释放速率（HRR）、电缆前后表面温度和烟密度仿真结果，考察新旧国家标准间的差异因素对燃烧的动力学过程的影响，根据模拟结果探讨新国家标准下电缆通过燃烧试验的难易程度和电缆的优化设计。研究结果表明:新标准对炭化高度要求更严格，故在保证电缆机械强度的前提下，为达到新标准中的B1级阻燃等级，应在旧标准A类阻燃的基础上增加电缆的阻燃效果，特别需要抑制火焰在电缆表面垂直蔓延的能力。     

Semi-automatic reduction and upscaling of large models: A farm management example

Research questions at the regional, national and global scales frequently require the upscaling of existing models. At large scales, simple model aggregation may have a prohibitive computational cost and lead to over-detailed problem representation. Methods that guide model simplification and revision have the potential to support the choice of the appropriate level of detail or heterogeneity within upscaled models. Efficient upscaling will retain only the heterogeneity that contributes to accurate aggregated results. This approach to model revision is challenging, because automatic generation of alternative models is difficult and the set of possible revised models is very large. In the case where simplification alone is considered, there are at least n²−1 possible simplified models where n is the number of model variables. Even with the availability of High Performance Computing, it is not possible to evaluate every possible simplified model if the number of model variables is greater than roughly 35. To address these issues, we propose a method that extends an existing procedure for simplifying and aggregating mechanistic models based on replacing model variables with constants. The method generates simplified models by selectively aggregating existing model variables, retaining existing model structure while reducing the size of the set of possible models and ordering them into a search tree. The tree is then searched selectively. We illustrate the method using a catchment scale optimization model with c. 50,000 variables (Farm-adapt) in the context of adaptation to climatic change. The method was successful in identifying redundant model variables and an adequate model 10% smaller than the original model. We discuss how the procedure can be extended to other large models and compare the method to those proposed by others. We conclude by urging model developers to regard their models as a starting point and to consider the need for alternative models during model development.     

Alternative transportation fuel standards: Welfare effects and climate benefits

This paper develops an integrated model of the fuel and agricultural sectors to analyze the welfare and greenhouse gas emission (GHG) effects of the existing Renewable Fuel Standard (RFS), a Low Carbon Fuel Standard (LCFS) and a carbon price policy. The conceptual framework shows that these policies differ in the incentives they create for the consumption and mix of different types of biofuels and in their effects on food and fuel prices and GHG emissions. We also simulate the welfare and GHG effects of these three policies which are normalized to achieve the same level of US GHG emissions. By promoting greater production of food-crop based biofuels, the RFS is found to lead to a larger reduction in fossil fuel use but also a larger increase in food prices and a smaller reduction in global GHG emissions compared to the LCFS and carbon tax. All three policies increase US social welfare compared to a no-biofuel baseline scenario due to improved terms-of-trade, even when environmental benefits are excluded; global social welfare increases with a carbon tax but decreases with the RFS and LCFS due to the efficiency costs imposed by these policies, even after including the benefits of mitigating GHG emissions.     

Development and use of water quality criteria and standards in the United States

Water quality criteria, as a means of distinguishing "good" water from "bad" water, have been employed for over 150 years. During the 1940s and 1950s, the formulation of water quality criteria and their role in water quality management were hotly debated in the United States as each state formulated its own approach to water pollution control. In 1965, when the federal government assumed control of water quality management in the US, a single, national approach to the formulation and use of criteria had to be selected and implemented nationwide. The purpose of this paper is to briefly review the history of criteria as a basis for water quality management in the US; note the different water quality management philosophies used by states prior to 1965; and summarize the relationship of criteria to monitoring over the past 30 years. Standards, as legal instruments, are developed for a specific water body by designating a use of the water (society value) and the criteria necessary to protect the use (a scientific finding). Standard violation, as a concept, tends to remain as a single-sample exercise (i.e., the sample measurement is either above or below the standard). Increasingly, however, there is a demand to classify large bodies of water (e.g., lake, river segment, or aquifer), over a set time period, such as a day, year, or decade, as either in compliance or in violation of water quality standards. No peer-reviewed, standardized method for computing standard "violations" has been widely accepted for this purpose. The paper ends with a call to develop such methods, if water quality managers must produce standard violation information (infer sample results) over time and space. Electronic Publication