沈阳市郊区环境空气中醛酮类化合物的污染特征与来源分析

为探究沈阳市郊区环境空气中醛酮类化合物的污染特征,于2017年8月24日—9月2日采用2,4-二硝基苯肼固相吸附/高效液相色谱方法对沈阳市郊区醛酮类化合物进行观测分析,利用美国环境保护局推荐的人体健康风险评价方法对部分有毒有害醛酮类化合物的人体健康风险进行了评价,并利用比值法对醛酮类化合物的来源进行了初步分析.结果表明:醛酮类化合物质量浓度日均值范围为23.16~38.38 μg/m3;质量浓度最高的4种醛酮类化合物依次是丙酮、甲醛、正丁醛和乙醛,其质量浓度日均值的平均值分别为8.71、5.90、5.48和2.95 μg/m3.对·OH消耗速率(L_OH)贡献较大的醛酮类化合物物种是正丁醛、甲醛和乙醛,臭氧生成潜势贡献(OFP)较大的醛酮类化合物物种是甲醛、正丁醛和乙醛,在研究区影响醛酮类化合物光化学反应活性的物种主要是甲醛、乙醛和正丁醛.研究区观测期间,环境空气中甲醛和乙醛的致癌性风险值分别为1.18×10-5和5.91×10-6,对暴露人群存在潜在的致癌风险;乙醛的非致癌风险值为0.05,对暴露人群不存在非致癌风险.在研究区的一次臭氧轻度污染过程期间,环境空气中的甲醛和乙醛受天然源排放的挥发性有机物二次转化的影响减弱,甲醛、乙醛和丙酮受到炼焦工业和机动车等人为源排放的影响增强,而正丁醛主要受当地精细化工产业排放的影响.研究显示,沈阳市应加大对炼焦工业、精细化工和机动车来源排放醛酮类化合物的管制,以降低环境空气中活性醛酮类化合物及有毒有害醛酮类化合物的浓度.      

新型防腐涂层对直升机典型结构材料防护性能研究

目的研究新型防腐涂层对直升机典型结构用铝合金及复合材料在热带海洋性气候环境下的防护性能,并与原防护涂层进行对比。方法通过测试涂层腐蚀后的形貌、光泽度、色差、电化学阻抗等,对比新/原涂层对直升机典型结构用铝合金和复合材料的防护性能。结果经过2年腐蚀后,新涂层表面无明显变化,而原涂层表面有轻微腐蚀,光泽度和色差下降较大。电化学阻抗测试表明,暴露前后涂层结构无明显变化,涂层阻抗值呈现持续下降的趋势,但是原涂层阻抗下降更快。结论新涂层对直升机典型铝合金和复合材料有更好的防护性,更加适于海洋性环境的使用。     

储罐用钢在3.5%NaCl溶液中的腐蚀行为研究

目的对比研究三种油气储罐在水压试验时的腐蚀行为特征。方法选用9Ni钢、Q235碳钢、304L不锈钢储罐用材料以及3.5%NaCl模拟海水溶液,采用开路电位、电化学阻抗谱、动电位极化曲线测试方法研究三种储罐用钢在模拟海水中的电化学腐蚀特征,同时结合浸泡质量损失试验和微观腐蚀形貌进行分析。结果 9Ni钢、Q235碳钢、304L不锈钢稳定后的开路电位(vs.SCE)分别为-0.55、-0.64、-0.10m V,Rt值分别为2 792、1 765、125 100,平均腐蚀深度分别为0.070 6、0.160 3、0.002 5 mm/a。微观腐蚀形貌显示,9Ni钢和Q235碳钢表面发生明显的腐蚀,而304L不锈钢只发生轻微的点蚀。结论在3.5%NaCl模拟海水溶液中,304L不锈钢最耐腐蚀,Q235碳钢最易腐蚀,9Ni钢居于两者之间。因此在9Ni钢和Q235碳钢储罐海水试压过程中需要采取临时保护。     

高温条件下高速碰撞试验技术研究

目的建立高温条件下结构的高速碰撞试验技术。方法基于理论和试验方法,研究影响试样加热/保温、碰靶速度和姿态的关键因素,利用次口径发射技术和电炉技术实现试样的加热、保温和加速。采用间接方法测试试样碰靶时的温度,联合应用次口径发射技术和靶体,控制试样的碰靶姿态,并利用高速摄影技术对其进行测试。通过薄壁圆柱筒的高温高速碰靶验证高温试验技术的有效性。结果建立了加热、加速和姿态控制一体化的高温高速碰撞试验技术,获得了不同尺寸薄壁圆柱筒不同姿态碰靶时的高温冲击动力学响应。正碰时,撞击端镦粗,尾端收缩,尾端的凹陷大于碰撞端的变形;侧碰时,圆筒呈马鞍状;角碰时的变形为楔形。随着圆筒的强度和刚度的降低,圆筒的变形增加,整体发生坍塌,出现大量的皱褶。结论建立的试验技术切实有效,可以用于高温条件下结构高速碰撞效应的研究。     

环境污染防治在建筑工程管理施工中的作用分析与研究

建筑活动是破坏环境资源、污染环境的主要活动之一,如何有效达到施工环境污染防治的目标已经逐渐成为社会关注的焦点话题。为有效防治施工环境污染,文中首先对典型施工环境污染的主要来源进行分析,然后提出施工环境污染防治目标的动态控制流程,并从设置动态控制目标、重视主动控制、多方面釆取有效措施方面对目标的动态控制进行分析。通过对施工环境目标的动态控制分析,使动态控制原理在项目环境管理领域有效运用,降低了建筑施工对环境的污染。     

Analysing the sensitivity behaviour of two hydrology models

Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.     

Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization

Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch prediction, the use of neural network (NN), and inparticular the multi-layer perceptrons, has presented to be acost-effective technique superior to traditional statisticalmethods. But their training, usually with back-propagation (BP)algorithm or other gradient algorithms, is often with certaindrawbacks, such as: 1) very slow convergence, and 2) easilygetting stuck in a local minimum. In this paper, a newlydeveloped method, particle swarm optimization (PSO) model, isadopted to train perceptrons, to predict pollutant levels, andas a result, a PSO-based neural network approach is presented. The approach is demonstrated to be feasible and effective bypredicting some real air-quality problems.     

Environmental quality control and environmental games

Conclusion  In this paper we have considered a specific environmental game emphasizing both control-prevention efforts and the propensity to pollute by a firm which adopts a given pollution abatement technology. A random payoff game was constructed and solved under a risk neutral assumption and quadratic utilities for both the firm and the environmental controller. The game thus defined, provides a wide range of interpretations and potential approaches for selecting a control-inspection policies to prevent environmental risks. There are of course many facets to this problem, which could be considered and have not been considered in sufficient depth. For example, more complex control mechanisms and liabilities, the effects of insurance and risk sharing, the application of cooperative efforts and subvention of pollution abatement investments (through tax incentives and their like), etc. have not been considered [5,7]. These are topics for further research. The basic presumption of this paper is that it is very difficult to fully enforce pollution prevention by firms, as a result, some controls are needed to ensure that firms be controlled so that appropriate efforts are carried.     

赤潮研究的现状与展望

赤潮已成为一种严重的海洋灾害 ,引起沿海国家和地区的重视 ,并成为研究的热点。文章从赤潮发生的机理、赤潮管理与减灾等方面论述了赤潮研究的现状 ,并提出今后研究的重点。