储氢温度对加氢站泄漏爆炸事故的影响研究∗

通过降低氢气的温度,可以实现更高密度的氢气储存,进而有效提升存储及运输的效率。为探究储氢温度对加氢站泄漏爆炸事故的影响规律,利用FLACS 软件对加氢站内长管拖车在不同储氢温度条件下（50、100、200 与300 K）发生泄漏后的氢气扩散和爆炸事故进行分析。研究结果表明：随着储氢温度的降低,高压氢气射流撞击防爆墙后可燃气云达到稳定的时间、扩散范围和冻伤区域均逐渐增大,而最大爆炸超压和爆炸危险距离则呈现出先增大后减小的趋势;储氢温度为50 K 时的轻微冻伤距离比储氢温度100 K 和200 K 时分别增加了近1 倍和7 倍,严重冻伤距离也最大;储氢温度为100 K 时泄漏气云爆炸产生的超压峰值比常温氢气爆炸提高了近3 倍,危险区域也最大;储氢温度为200 K 时,达到爆炸超压峰值的时间最快,储氢温度为50 K 时最慢。     

气候变化和人类活动对丹江口入库径流的影响及评估

科学估算气候变化和人类活动对河川径流的影响,可以更为合理地规划利用地球水资源。针对丹江口水库入库径流的减少问题,分别采用Mann-Kendall方法和Pettitt检验,对1960~2012年间丹江口水库入库径流的年际和年内变化趋势进行了分析,并与同时期汉江上游20个地面观测站的降水、气温的年际和年内演化趋势进行了比较,从气候变化和人类活动影响的两个方面分析了入库径流减少的原因。在此基础上,利用气候弹性模型分别估算了气候变化和人类活动对径流的影响度。结果表明:近年来丹江口入库径流的减少主要受春季和秋季径流减少的影响,在春季径流的减少总量中,气候变化的贡献度为67%,人类活动为33%;秋季径流的减少总量中,气候变化的贡献度为88%,人类活动为12%。气候变化是导致丹江口入库径流减少的主要原因。     

微生物絮凝剂改善城市污水厂浓缩污泥脱水性能的研究

采用酱油曲霉(Aspergillus sojae)产生的微生物絮凝剂(MBF)作为污泥絮凝脱水剂,对城市污水处理厂浓缩污泥进行调理,确定该絮凝剂对浓缩污泥脱水的处理工艺参数为：微生物絮凝液最佳投加体积为6%～8%（体积比）,发挥絮凝作用的最适污泥温度为28～32℃,最适pH为6～7。经微生物絮凝剂调理的污泥在3 000 r/min离心9 min,污泥脱水率高达82.7%,滤饼含水率降低至77.3%,污泥脱水后体积减至原来的1/5左右。     

含中间层的DSA电极电催化氧化硝基苯废水的研究

为了提高难降解有机废水的可生化性,以及更高效地去除废水中的特征污染物,同时避免二次污染,利用自制的含锡锑中间层的钌钯氧化物涂层电极对有机废水中的硝基苯进行处理,并利用SEM、XRD等方法对电极中间层、表层进行微观表征。微观测试表明,基体、中间层、表层之间结合力较强,有利于增强电极寿命;水处理实验表明,电催化氧化反应体系适合高浓度有机废水的处理,由于该反应体系需要外加电解质加强传质,这在实际运用中为废水中盐度的处理提供了一种新的途径,当电流密度为20 mA/cm²、电解质浓度为10 g/L、pH=5、极板间距=2 cm时,电催化氧化体系对硝基苯具有较高的去除效率。     

TiO2催化高压脉冲放电等离子体降解2，4-二硝基苯酚

采用TiO2催化高压脉冲放电等离子体降解废水中的2,4-二硝基苯酚,对反应进行了动力学研究.研究结果表明,在高压脉冲放电等离子体及TiO2催化高压脉冲放电等离子体反应中,2,4-二硝基苯酚的降解过程均符合表观一级反应动力学方程.加入TiO2催化剂、提高放电电压均可提高2,4-二硝基苯酚的降解反应速率常数.在TiO2加入量为0.15%、放电电压为16 kV时,2,4-二硝基苯酚的降解率为87.4%,TiO2的催化效应增强因子为1.55.     

强化混凝去除微污染原水胶体颗粒的研究

对珠江水系统进行了强化混凝处理,燕利用准弹性激光散射技术（PCS）对常规混凝和强化混凝前后水中胶体颗粒（小于0.45um)的大小与分布进行了测定,探讨了搅拌条件对混凝效果的影响。     

A mini review of fluoride-induced apoptotic pathways

Fluorine or fluoride can have toxic effects on bone tissue and soft tissue at high concentrations. These negative effects include but not limited to cytotoxicity, immunotoxicity, blood toxicity, and oxidative damage. Apoptosis plays an important role in fluoride-induced toxicity of kidney, liver, spleen, thymus, bursa of Fabricius, cecal tonsil, and cultured cells. Here, apoptosis activated by high level of fluoride has been systematically reviewed, focusing on three pathways: mitochondrion-mediated, endoplasmic reticulum (ER) stress-mediated, and death receptor-mediated pathways. However, very limited reports are focused on the death receptor-mediated apoptosis pathways in the fluoride-induced apoptosis. Therefore, understanding and discovery of more pathways and molecular mechanisms of fluoride-induced apoptosis may contribute to designing measures for preventing fluoride toxicity.     

Fate of antimicrobial resistance genes in response to application of poultry and swine manure in simulated manure-soil microcosms and manure-pond microcosms

This study aimed to determine the occurrence, abundance, and fate of nine important antimicrobial resistance genes (ARGs) (sul1, sul2, tetB, tetM, ermB, ermF, fexA, cfr, and Intl1) in the simulated soil and pond microcosms following poultry and swine manure application. Absolute quantitative PCR method was used to determine the gene copies. The results were modeled as a logarithmic regression (N?=?mlnt?+?b) to explore the fate of target genes. Genes sul1, Intl1, sul2, and tetM had the highest abundance following the application of the two manure types. The logarithmic regression model fitted the results well (R ² values up to 0.99). The reduction rate of all genes (except for the genes fexA and cfr) in manure-pond microcosms was faster than those in manure-soil microcosms. Importantly, sul1, intl1, sul2, and tetM had the lowest reduction rates in all the samples and the low reduction rates of tetM was the first time to be reported. These results indicated that ARG management should focus on using technologies for the ARG elimination before the manure applications rather than waiting for subsequent attenuation in soil or water, particularly the ARGs (such as sul1, intl1, sul2, and tetM investigated in this study) that had high abundance and low reduction rate in the soil and water after application of manure.     

Fuzzy programming method for multi-objective optimal allocation of sediment resources and the cooperative bargaining: a case study in Weishan irrigation area,China

The optimal allocation of sediment resources needs to balance three objectives including ecological, economic, and social benefits so as to realize sustainable development of sediment resources. This study aims to apply fuzzy programming and bargaining approaches to solve the problem of optimal allocation of sediment resources. Firstly, Pareto-optimal solutions of multi-objective optimization were introduced, and the multi-objective optimal allocation model of sediment resources and fuzzy programming model was constructed. Then, from the perspective of multiplayer cooperation, the optimal allocation model of sediment resources was transformed into a game model by using Nash bargaining, and Nash bargaining solution was obtained as the optimal equilibrium strategy. Finally, the influence of different disagreement utility points and bargaining weights on the results was discussed, and the results of Nash bargaining and fuzzy programming methods were compared and analyzed. Results corroborate that Nash bargaining can achieve the cooperative optimization of multiple objectives with competitive relationship and obtain satisfactory scheme. Disagreement utility points and bargaining weights have a certain impact on the optimization results. The solution of fuzzy programming is close to that of Nash bargaining, which provides different ideas for multi-objective optimization problem.

     

Prediction of particulate loading in exhaust from fabric filter baghouses with one or more failed bags

Loss of filtration efficiency in a fabric filter baghouse is typically caused by bag failure, in one form or another. The degree of such failure can be as minor as a pinhole leak or as major as a fully involved baghouse fire. In some cases, local air pollution regulations or federal hazardous waste laws may require estimation of the total quantity of particulate matter released to the environment as a result of such failures. In this paper, a technique is presented for computing the dust loading in the baghouse exhaust when one or more bags have failed. The algorithm developed is shown to be an improvement over a previously published result, which requires empirical knowledge of the variation in baghouse pressure differential with bag failures. An example calculation is presented for a baghouse equipped with 200 bags. The prediction shows that a small percentage of failed bags can cause a relatively large proportion of the gas flow to bypass the active bags, which, in turn, leads to high outlet dust loading and low overall collection efficiency from the baghouse.