Seasonal variation of polycyclic aromatic hydrocarbons in soil and air of Dalian areas, China: an assessment of soil-air exchange

The seasonal variations of concentrations of PAHs in the soil and the air were measured in urban and rural region of Dalian, China in 2007. In soil, mean concentrations of all PAHs in summer were larger than those in winter, whereas the concentrations of heavier weight PAHs in winter were larger than those in summer. Winter/summer concentration ratios for individual PAHs (R(W/S)) increased with the increase of molecular weight of PAHs in soil, indicating that PAHs with high molecular weight were more easily deposited to soil in winter than summer. In air, mean concentrations of all PAHs in winter were larger than those in summer. In comparison with the R(W/S) in soil, all the values of R(W/S) in air were larger than one indicating that the entire individual PAH concentrations in winter were larger than those in summer. The average concentration composition for each PAH compound in soil and air samples was determined and the seasonal change of PAH profile was very small. It was suggested that PAHs in soils and air had the same or similar sources both in winter and summer. The approach to the soil-air equilibrium was assessed by calculating fugacity quotients between soil and air using the soil and air concentrations. The calculated soil-air fugacity quotients indicated that soil acted as a secondary source to the atmosphere for all lighter weight PAHs (two-three rings) and it will continue to be a sink for heavier weight PAHs (five-six rings) in the Dalian environment, both in winter and summer. Medium weight PAHs (four-five rings) were close to the soil-air equilibrium and the tendency shifted between soil and air when season or function region changed. The fugacity quotients of PAHs in summer (mean temperature 298 K) were larger than those in winter (mean temperature 273 K), indicating a higher tendency in summer than winter for PAHs to move from soil to air. The variation of ambient conditions such as temperature, rainfall, etc. can influence the movement of PAHs between soil and air. Most of the fugacity quotients of PAHs for the urban sites were larger than that for the rural site both in winter and summer. This phenomenon may be related with that the temperatures in urban sites were higher than those in the rural site because of the urban heat island effect.     

基于人工神经网络理论的建筑物火灾安全评价研究

依据建筑物火灾危险性的影响因素,应用人工神经网络理论及系统安全方法,建立了建筑物火灾危险性的评价指标体系,该方法摆脱了评价过程中的随机性和参评人员主观上的不确定性及其认识上的模糊性等缺点,大大提高了准确性。为了验证评价模型的准确性,将该理论应用到某高校图书馆火灾危险性评价中,快速、准确地得到了安全评价结果,取得了满意效果,为建筑物防火设计以及安全管理提供了可行的依据。     

内抽外压式集尘器实验、数值模拟与分析

根据内抽外压式集烟尘器专利研制了一个内抽外压式集尘器,并在井下进行实验。经过3种方法测试均收到预期的的效果,司机工作区达到了国家卫生要求,由于采用外筒压风,防止了瓦斯积聚避免瓦斯爆炸。应用离散颗粒模型模拟了内抽外压式集尘器内气相流场和粉尘颗粒的运动,该集尘器不仅把矿井巷道中细微可呼吸粉尘吸收到除尘器中,又能防止了瓦斯积聚。数值模拟与实验结果的一致性表明:把内抽外压式集尘器放置在掘进机前方,由于粉尘在气流的携带下运动使掘进机司机在矿井巷道中的工作环境得到改善,减少矿工患尘肺病的概率,开发了井下集尘的新工艺、新设备。     

电子封装行业职业有害因素的辨识与分析

从电子封装行业工艺入手,依据国家颁布的职业有害因素分类目录及职业有害因素致病模型,针对电子封装行业插入式(DIP)及表面贴装(QFP/SOIC)制造工艺使用的材料、设备、条件、人员作业特点,对行业内具有共性的职业有害因素进行分析,对工艺过程中存在的职业有害因素作出辨识,并提出把硅粉尘、铅、氩气、高温、环氧树脂、氢氧化钾、噪声、酸雾、重复性静态作业、重复性动态作业等有害因素作为防控重点,为电子封装行业职业有害因素的危害量化评价及其防控措施制定提供了科学依据。     

吸收液pH值对锌合金白烟处理效果的影响

为了治理同时含有气态和粒状污染物的锌合金白烟,采用填料塔对其进行洗涤和吸收,考察了吸收液的pH值以及喷淋密度对锌合金白烟处理效果的影响,并根据碱洗和酸洗的特点,考察了碱酸两级处理的效果.结果显示,吸收液的喷淋密度与氯化铵烟尘、氯化氢和氨的处理效率成正比.吸收液的pH值也会影响白烟的处理效果,主要是通过吸收液与污染物之间的化学反应来进行,碱洗时氯化铵烟尘和氯化氢获得了较高的处理效率,但碱洗过程有氨生成,限制其应用;酸洗对氨的处理效率较高,但氯化铵烟尘和氯化氢的处理效率都比较低,达不到国家排放标准.尽管对锌白烟的处理效果还不理想,但试验结果对于锌白烟的治理具有重要的参考价值和指导意义.     

上海城市灾害分析与减灾建设

随着人口越来越向城市集中,城市灾害日益引起人们的普遍关注,本文针对上海市的自然灾害和人为灾害现状,分析了这些城市灾害的主要特征及其潜在的致灾防患,并总结论述了上海市防灾减灾建设的措施和工作情况。     

基于3种时间序列模型的九龙江河流库区藻华预测

湖库富营养化和有害藻华是全球性生态环境问题,藻华预测与早期预警是保障湖库水源地供水安全的关键技术.如何基于高频水生态在线监测数据进行藻华的实时动态预测成为水生态管理领域的重大需求.本研究以福建省九龙江江东库区(水源地)为例,利用3年连续观测的逐时平均总叶绿素a浓度数据,对比研究了SARIMA、Prophet和LSTM(长短期记忆神经网络)3种时间序列模型在藻华(日平均叶绿素a大于15μg·L^-1)预测方面的效果.结果表明：(1)时间序列模型要求参数少,灵活性强,能清晰反映水质特征和未来变化趋势,可弥补传统藻类监测预警方法的局限性;(2)基于深度学习框架的LSTM模型,具有独特的迭代优化算法,对藻类非线性变化特征的识别和预测能力较强,其总叶绿素a逐日预测和7日预测效果均显著优于SARIMA模型和Prophet模型;(3)输入数据长度会在一定程度上影响模型预测效果,最优的输入数据时间长度为7 d;输入数据频率对预测效果也有影响,在预测非藻华日时,小时数据的预测效果优于日频率数据;在预测藻华日时,两种频率数据无显著差异,但日频率数据能更准确识别藻华日特征.总结起来,基于...     

街道峡谷内车辆流动对反应性污染物传播特性影响的模拟研究

采用CFD（计算流体力学）数值模拟的研究方法,使用动网格技术,分析简单光化学反应下车辆流动及不同来流风速对双车道三维街道峡谷内污染物传播特性的影响.结果表明,车辆移动改变了峡谷内气流结构,以及背风侧与迎风侧活性污染物浓度分布的相对大小,有利于污染物在峡谷中的传播扩散;来流风使机动车尾气向建筑背风侧汇聚,并随着风速增加而加强,对近迎风侧车道车辆尾气淹没射流的影响比近背风侧车道大.在车辆移动与来流风的综合作用下,污染物的扩散能力得到显著增强.     

天津市基于新标准的空气质量预报模型效果评估

利用2015年环境空气质量监测数据,对天津市OPAQ空气质量统计预报模型预测效果进行验证评估。结果表明,模型对天津市AQI和PM_(2.5)、PM_(10)、O_3、NO——2的预测结果与实测结果具有较好的趋势一致性,且预测时间越临近,拟合度越好,24 h预报的相关系数r全部达到0.8以上。对PM_(2.5)的预报性能明显优于PM_(10)、O_3和NO_2,PM_(2.5)平均值预测略呈正偏差,但重污染预测值偏低约15%;O_3和NO_2预测值呈明显负偏差,O_3峰值预测不足,NO_2预测值整体偏低,均以24 h预报趋势性最好,但负偏差最为突出。