环氧乙烷热稳定性及杂质对其影响研究

为研究环氧乙烷热稳定性及杂质对其影响,利用C600微量量热仪对环氧乙烷进行热分解试验研究,获得了环氧乙烷分解活化能和绝热条件下到达最大反应速率所需时间(TMRad)等动力学参数.研究了氢氧化钾固体、45％氢氧化钾溶液、三氧化二铁和六水三氯化铁对环氧乙烷热分解特性的影响.结果表明:随温升速率的增加,环氧乙烷热分解起始放热温度逐渐增大;分解活化能E在55～ 90 kJ/mol;环氧乙烷在常温下不易发生热失控;但氢氧化钾固体、45％氢氧化钾溶液、三氧化二铁和六水三氯化铁均对环氧乙烷的热分解有一定程度的影响,使其起始放热温度和最大放热温度都有不同程度的降低,且氢氧化钾溶液和氢氧化钾固体的影响最为明显.     

基于资源分类的资源耗竭度及当量系数

资源耗竭潜力因子ADP(Abiotic Depletion Potential)是目前评价产品生命周期资源消耗水平的常用因子,但不够细致全面,存在一定的局限性.考虑到资源特点多样性,将资源分为可再生资源、可回收的不可再生资源和不可回收的不可再生资源3类,并针对性地提出资源耗竭度RDD(Resource Depleon Degree)和资源耗竭当量系数EF(Equivalent Factor)的计算公式,构建评价框架对自然资源耗竭性进行分类评价.将评价方法运用于建筑行业某住宅,得到其物化阶段5种资源消耗水平,验证了该评价方法的可行性及RDD因子相对于ADP因子在资源耗竭评价方面的优越性.     

离子液体双水相气浮溶剂浮选分离/富集水样中的盐酸多西环素研究

建立了以亲水性离子液体1-丁基-3-甲基咪唑四氟硼酸[Bmim]BF4和Na H2PO4形成的二元双水相作为气浮溶剂分离/富集水样中盐酸多西环素的新方法,并采用紫外分光光度法对盐酸多西环素进行测定。考察了离子液体的初始加入量、盐的种类及浓度、p H值、浮选时间及N2流速等因素对体系浮选分离盐酸多西环素的影响。结果表明,改变离子液体和无机盐的加入量,会使体系的富集倍数发生变化,从而使体系的浮选效率和浓集系数发生变化;随浮选时间增加,体系的浮选效率先增加后略微下降;过大或过小的N2流速都会使体系对盐酸多西环素的浮选效率降低;而p H值对体系浮选盐酸多西环素影响不大。当[Bmim]BF4溶液加入量为3 m L、Na H2PO4加入量为25 g(质量分数为33.3%)、气浮时间为40 min、气浮速率为50 m L/min时,体系的浮选效率最高,可达95.8%,浓集系数可达23.95,此时体系的p H值为4.38。与离子液体双水相萃取(ILATPE)相比,该方法的优点在于不仅有较高的浮选率、浓集系数,还有效减少了离子液体的用量,同时操作更简单、环境友好。     

合流制排水系统溢流污染控制策略的系统动力学分析

为了探索城市合流制排水系统溢流污染的控制策略,基于合流制排水系统结构特征,应用系统动力学方法构建了溢流污染控制系统动力学模型。该模型分为污染源产生子系统、收集运输子系统、污水溢流子系统、污水处理子系统及受纳水体子系统5部分,每个子系统相互作用构成完整的系统动力学模型。将该模型应用于镇江市老城区合流制排水系统溢流污染控制规划,从排水系统的源-流-汇三方面(包括源头减污、过程控污、末端治污和综合集成),模拟分析各种溢流污染控制策略的效能。     

基于不确定性的矿区污染治理投入决策研究

基于现实的基础上,考虑矿区污染治理所面临的不确定性,对污染治理最优投入的政策决策机制进行研究.根据污染治理投入成本的不可逆性及不确定性建立污染治理最优投入决策机制模型,求出了污染治理投入的临界点.结果表明,该模型能够真实、客观、全面地评价矿区污染治理投入决策机制,并可动态指导治理政策实施的最优时机.同时,分析了模型中各参数对污染治理决策的影响,结合案例验证了此模型在污染治理决策问题上的分析结果.结果发现,考虑了不确定性的模型有效避免了传统决策模型的局限性,可以帮助政府和煤矿企业做出科学有效的污染治理投入决策和制度设计,能更有效地推动煤矿企业安全生产的实施.本研究对环境政策的制定和实施具有理论和实践指导意义.     

Assessing BMP Effectiveness and Guiding BMP Planning Using Process‐Based Modeling

There is an increasing need for improved process‐based planning tools to assist watershed managers in the selection and placement of effective best management practices (BMPs). In this article, we present an approach, based on the Water Erosion Prediction Project model and a pesticide transport model, to identify dominant hydrologic flow paths and critical source areas for a variety of pollutant types. We use this approach to compare the relative impacts of BMPs on hydrology, erosion, sediment, and pollutant delivery within different landscapes. Specifically, we focus on using this approach to understand what factors promoted and/or hindered BMP effectiveness at three Conservation Effects Assessment Project watersheds: Paradise Creek Watershed in Idaho, Walnut Creek Watershed in Iowa, and Goodwater Creek Experimental Watershed in Missouri. These watersheds were first broken down into unique land types based on soil and topographic characteristics. We used the model to assess BMP effectiveness in each of these land types. This simple process‐based modeling approach provided valuable insights that are not generally available to planners when selecting and locating BMPs and helped explain fundamental reasons why long‐term improvement in water quality of these three watersheds has yet to be completely realized.     

Modeling Megacity Drinking Water Security under a DSS Framework in a Tidal River at the North Pearl River Delta,China

A modeling study was undertaken under a decision support system (DSS) for drinking water security in the Foshan section of the Beijiang River, a typical tidal river in the North Pearl River Delta. The DSS included a database layer, application support layer, and an application layer. As an integral part of the DSS application support layer, an integrated modeling system was developed to simulate hydrodynamics. The balance of dissolved oxygen and toxicants was based on an environmental fluid dynamics code and a water quality analysis simulation program (WASP) modeling framework. Model calibration and validation was undertaken using monitoring data in normal hydrological conditions. Four scenarios for the environmental management of water, including current water temp‐spatial feature analysis, control of pollution sources, and emergency response, were designed and analyzed in the DSS. The results indicated that the tide downstream has a distinct influence on hydrodynamics and pollutant diffusion, and the DSS could be used to design effective schemes to reduce pollutant discharges and provide emergency responses for ensuring drinking water security.     

Influence of volunteer and project characteristics on data quality of biological surveys

Volunteer involvement in biological surveys is becoming common in conservation and ecology, prompting questions on the quality of data collected in such surveys. In a systematic review of the peer‐reviewed literature on the quality of data collected by volunteers, we examined the characteristics of volunteers (e.g., age, prior knowledge) and projects (e.g., systematic vs. opportunistic monitoring schemes) that affect data quality with regards to standardization of sampling, accuracy and precision of data collection, spatial and temporal representation of data, and sample size. Most studies (70%, n = 71) focused on the act of data collection. The majority of assessments of volunteer characteristics (58%, n = 93) examined the effect of prior knowledge and experience on quality of the data collected, often by comparing volunteers with experts or professionals, who were usually assumed to collect higher quality data. However, when both groups’ data were compared with the same accuracy standard, professional data were more accurate in only 4 of 7 cases. The few studies that measured precision of volunteer and professional data did not conclusively show that professional data were less variable than volunteer data. To improve data quality, studies recommended changes to survey protocols, volunteer training, statistical analyses, and project structure (e.g., volunteer recruitment and retention).     

Heuristics as adaptive decision strategies in management

In the management literature, heuristics are often conceived of as a source of systematic error, whereas logic and statistics are regarded as the sine qua non of good decision making. Yet, this view can be incorrect for decisions made under uncertainty, as opposed to risk. Research on fast and frugal heuristics shows that simple heuristics can be successful in complex, uncertain environments and also when and why this is the case. This article describes the conceptual framework of heuristics as adaptive decision strategies and connects it with the managerial literature. We review five classes of heuristics, analyze their common building blocks, and show how these are applied in managerial decision making. We conclude by highlighting some prominent opportunities for future research in the field. In the uncertain world of management, simple heuristics can lead to better and faster decisions than complex statistical procedures. Copyright © 2014 John Wiley & Sons, Ltd.     

Structuring decisions about energy in developing communities: an example from Canada's north

Decisions about energy in developing communities are challenging from a technical standpoint, and because of the unique characteristics that typify them, e.g. limited infrastructure and government budgets, complex social and political arrangements, and economic vulnerability. Against the backdrop of these challenges, the government of Canada's Northwest Territories (NWT) is attempting to reform the region's energy system. This paper provides insights from the decision sciences, stemming from our work on the NWT's energy planning process, about how to structure decisions about energy development and delivery so as to effectively meet a range of stakeholders’ objectives in a transparent and inclusive manner.