Fouling distribution in forward osmosis membrane process

Fouling behavior along the length of membrane module was systematically investigated by performing simple modeling and lab-scale experiments of forward osmosis （FO） membrane process. The flux distribution model developed in this study showed a good agreement with experimental results, validating the robustness of the model. This model demonstrated, as expected, that the permeate flux decreased along the membrane channel due to decreasing osmotic pressure differential across the FO membrane. A series of fouling experiments were conducted under the draw and feed solutions at various recoveries simulated by the model. The simulated fouling experiments revealed that higher organic （alginate） fouling and thus more flux decline were observed at the last section of a membrane channel, as foulants in feed solution became more concentrated. Furthermore, the water flux in FO process declined more severely as the recovery increased due to more foulants transported to membrane surface with elevated solute concentrations at higher recovery, which created favorable solution environments for organic adsorption. The fouling reversibility also decreased at the last section of the membrane channel, suggesting that fouling distribution on FO membrane along the module should be carefully examined to improve overall cleaning efficiency. Lastly, it was found that such fouling distribution observed with co-current flow operation became less pronounced in counter- current flow operation of FO membrane process.     

Motorcycle crashes potentially preventable by three crash avoidance technologies on passenger vehicles

Objective: The objective of this study was to identify and quantify the motorcycle crash population that would be potential beneficiaries of 3 crash avoidance technologies recently available on passenger vehicles.

Methods: Two-vehicle crashes between a motorcycle and a passenger vehicle that occurred in the United States during 2011–2015 were classified by type, with consideration of the functionality of 3 classes of passenger vehicle crash avoidance technologies: frontal crash prevention, lane maintenance, and blind spot detection. Results were expressed as the percentage of crashes potentially preventable by each type of technology, based on all known types of 2-vehicle crashes and based on all crashes involving motorcycles.

Results: Frontal crash prevention had the largest potential to prevent 2-vehicle motorcycle crashes with passenger vehicles. The 3 technologies in sum had the potential to prevent 10% of fatal 2-vehicle crashes and 23% of police-reported crashes. However, because 2-vehicle crashes with a passenger vehicle represent fewer than half of all motorcycle crashes, these technologies represent a potential to avoid 4% of all fatal motorcycle crashes and 10% of all police-reported motorcycle crashes.

Discussion: Refining the ability of passenger vehicle crash avoidance systems to detect motorcycles represents an opportunity to improve motorcycle safety. Expanding the capabilities of these technologies represents an even greater opportunity. However, even fully realizing these opportunities can affect only a minority of motorcycle crashes and does not change the need for other motorcycle safety countermeasures such as helmets, universal helmet laws, and antilock braking systems.     

基于前向神经网络的广义环境系统评价普适模型

为了建立由水环境、空气环境、生态环境、水资源环境、灾害环境、遥感环境、社会经济环境等不同环境系统组成的广义环境系统评价都能普适、通用的神经网络模型,针对BP神经网络因收敛速度慢、易于陷入局部极值而使实用性受限的缺陷,提出以双极性sigmoid函数作为网络隐层节点(神经元)的激活函数,而网络输出为所有隐层节点输出的线性求和的前向神经网络的广义环境系统评价模型.在设置广义环境系统指标参照值和指标值规范变换式,并对指标值进行规范变换的基础上,分别构建了适用于广义环境系统评价的任意2个指标规范值的前向神经网模型(NV-FNN(2)结构)和任意3个指标规范值的前向神经网模型(NV-FNN(3)结构).而对于指标较多的广义环境系统评价,只要将多指标分解为以上2个指标和3个指标的两种简单结构的前向神经网络的广义环境系统评价模型的组合表示即可.理论分析和实例检验结果表明:该模型对任意广义环境系统的规范指标值皆普适、通用,因而使不同环境系统的评价变得简洁、统一.规范变换和优化算法相结合的建模思想和方法对简化广义环境系统评价的多元回归、投影寻踪回归、回归支持向量机和径向基神经网络建模亦有借鉴和启迪作用.     

正渗透去除地表水中DOM的效能研究

采用经砂滤处理后的滆湖水作为原料液,氯化钠溶液作为汲取液,在不同影响因素条件下进行正渗透试验,并对试验后的膜片进行清洗,探究膜污染的可逆性.结果表明:提高汲取液浓度、运行温度及膜面流速均可有效增加膜通量;正渗透对滆湖水体中的溶解性微生物代谢产物、类色氨酸、类富里酸和腐殖酸四种主要DOM成分均有较好的去除效果,DOC、UV₂₅₄截留率均在96%以上;短期运行通过水力清洗几乎可以完全恢复膜通量,而长期运行通过超声清洗可以基本恢复全部膜通量,通过分析膜清洗液可知造成膜污染的主要物质为类色氨酸类和类富里酸类物质.     

人工湿地技术用于重庆市村镇生活污水处理现状

人工湿地具有能耗低、基建投资少、去污效果显著等优点,是一种适用于村镇污水处理的新型技术。通过实地抽样调研重庆各区村镇污水处理站的人工湿地,分析得到5种人工湿地组合工艺中COD、SS、NH3-N、TN、TP的平均去除率分别为62.8%、58.4%、37%、26%、10%,污水处理效果较低,且发现普遍存在"重建设轻运行"、"重厂区轻管网"等问题。最后从设计、施工、运行管理方面究其原因,并提出推行村镇污水处理设施采用"设计-建设-运营"一体化模式的建议。     

提高前向散射型光电感烟探测器性能的算法

以国家科技部973项目中建立的火灾探测应用环境及火灾信息数据库为依据,对目前使用最为广泛的前向散射型光电感烟探测器固有特性的归纳和分析,通过数据挖掘,提出一种切实可行的算法处理技术和智能判断火灾方法,有效提高了现有前向散射型光电感烟探测器的火灾探测及其抗干扰能力。     

水平燃料填充床反向阴燃传播及其熄灭分析

根据单步反应机理(仅包括燃料的氧化),建立了一维非稳态燃料填充床反向阴燃的数学模型。通过简化模型参数及大活化能渐近分析,得出了定性描述燃料反向阴燃传播的两个方程。结果表明:随着空气流量的增大,阴燃温度是不断上升的,但由于受到反向空气风流的影响,阴燃温度的增长幅度是逐渐变小的;阴燃传播速度却呈现出先增大后减小直至熄灭的变化趋势。这种变化趋势与前人的实验结果相一致。通过定性分析得出:在气体流量为零的情况下,燃料仍然可以发生阴燃,而维持阴燃不断传播所需要的氧气量源于反应区域周围气体的扩散。此外,也分析了燃料特性参数(如密度、孔隙率、比热、导热系数及活化能)对燃料阴燃温度和阴燃速度传播的影响。     

初始pH值对正渗透浓缩城市污水和回收磷的影响

为实现从城市污水中回收磷和水资源并同时减少后续处理反应器容积的目的,采用正渗透膜对城市污水进行浓缩,并探究城市污水的初始pH值对浓缩效果和磷回收的影响.首先采用合成城市污水进行正渗透浓缩试验,当提高原料液（FS）的初始pH值至9.5时,FS体积浓缩接近初始体积的1/10后,膜上及垫网上吸附磷含量约为其初始总量的44%,有利于磷的回收.当采用实际城市污水作为FS时,在初始pH值为9.5条件下进行浓缩后,污染膜面存在松散团聚的圆球颗粒,使得该条件下膜面污染物更易被洗脱,膜清洗后水通量高于不调节pH值条件下的水通量.膜原位超声清洗后,浓缩污水变为悬浊液,经静置沉降后收集沉淀物,其主要成分为CaCO₃、鸟粪石和磷酸镁类物质.当初始pH值为9.5时浓缩所得沉淀物中的CaCO₃和鸟粪石含量更高.调节城市污水初始pH值至9.5左右,对其进行三轮42h的连续运行浓缩后,污水的体积浓缩倍数约为8倍,磷回收率可达到63.9%.浓缩结束后,对膜先后进行原位超声清洗和碱洗加酸洗的化学清洗,清洗后膜通量约为初始通量的78%.浓缩后污水的pH值在8.5~9.1之间,且COD/TN值明显提高（从3.6至11.5）,有利于后续的生物脱氮除磷.     

地铁隧道电缆阴燃时优化通风的数值模拟

地铁隧道电缆阴燃火灾相比明燃火灾,具有更高的隐蔽性和更大的危害性。根据地铁隧道电缆的阴燃特点,采用数值模拟方法,对阴燃电缆热解产物在不同通风模式下的毒害性分布进行研究。结果表明,隧道断面2 m/s的送风风速并不能最大程度地确保疏散人员的安全,而与列车驶入时刻满足三次多项式关系的最优送风风速,可以使列车内安全距离达到最大,且不会影响到人员的安全疏散。