基于绝热火焰温度混合气体爆炸下限的预测

准确地预测可燃混合气体的爆炸极限,对防止工业生产中时有发生的混合气体爆炸事故有着重大的意义。通过采用Gaseq软件计算CH4,C3H8,C2H4,C3H6,CH3OCH3和CO的绝热火焰温度(CAFT),分析初始温度对甲烷和丙烷混合气体(体积比1∶1)爆炸下限(LEL)的影响。结果表明:随着初始温度的升高,临界火焰温度基本不变,而LEL线性下降。使用计算绝热火焰温度法对不同比例的二元混合气体(体积比1∶1,3∶1,1∶3)以及三元混合气体(体积比1∶1∶1)的LEL进行预测,在选取的35组不同组份的混合气体中,LEL的预测值与文献值的平均绝对误差为0.081 8,平均相对误差为0.02。     

废旧橡胶沥青SMA混合料铺设路面结构降噪效果初探

介绍了路面结构降噪物理特性,利用废旧橡胶沥青SMA混合料作为路面结构降噪材料,探索其隔声性能的现场监测方法。选取南京绕城公路一段作为监测路段,对采用普通沥青路面和采用SMA材料的结构降噪路面进行比对监测,结果显示采用SMA材料的结构降噪路面声级值降低1～1.8dB。分析认为交通噪声主要声源为驱动噪声,而驱动噪声中主要噪声部分为排气噪声,所以对于路面行驶噪声的降噪对于交通噪声整体声级的改善作用有限。     

砷污染土壤复合淋洗修复技术研究

土壤砷污染问题日益严重,淋洗法是修复砷污染土壤的一种有效方法.本研究以砷污染土壤为研究对象,通过批量振荡淋洗实验,将5种常用淋洗剂进行组合复合淋洗,探索最佳复合淋洗组合,对淋洗前后土壤进行形态分析,并通过3种不同污染程度土壤的修复效果比较,研究复合淋洗的适用性.结果表明,复合淋洗效果优于单一淋洗效果,能够很好地提高砷的去除率.当采用4 h 0.5 mol·L~(-1)Na OH+4 h 0.1 mol·L~(-1)EDTA进行复合二步淋洗时土壤砷的去除率从66.73%提高到91.83%,砷含量由186 mg·kg~(-1)降至15.2 mg·kg~(-1),为最佳淋洗组合.其次,研究结果还表明,淋洗前后土壤中砷的形态发生改变,有效态比例得到有效降低,0.5 mol·L~(-1)Na OH+0.1 mol·L~(-1)EDTA适用于铝型砷含量较高的砷污染土壤,0.5 mol·L~(-1)OX+0.5 mol·L~(-1)Na OH适用于铁型砷含量较高的砷污染土壤.     

Heavy Metals Removal by Biosorption and Flotation

The removal of a mixture of heavy (toxic) metal cations (copper, nickeland zinc) from liquid effluents was investigated in this study at pilotscale, using counter-current contact mode. The innovative processinvolved the abstraction of metal ions onto fungal biosorbents, followedby the application of flotation for the subsequent solid/liquid separationof biomass particles. The ability of microorganisms to remove metal ionsfrom aqueous solutions is a well-known phenomenon. Nevertheless,engineering considerations are very important in decisions, concerningthe commercial future of biosorption and practical solutions are neededfor certain problems, such as the efficient post-separation ofmetal-loaded biomass. The two processes (flotation and biosorption) caneffectively operate in combination, in what it was termed biosorptiveflotation process. The sorbents may be recycled, after appropriate elutionof metals, as well as the treated (clean) water.     

葡萄糖和硝基苯为混合燃料时MFC的产电特性研究

通过构建双极室微生物燃料电池(microbial fuel cell,MFC),以铁氰化钾溶液为阴极电子受体,以硝基苯(nitrobenzene,NB)和葡萄糖为混合燃料,研究MFC的产电特性和NB的降解情况.结果表明,在外阻为1000Ω的条件下,随着NB初始浓度的增加,双极室MFC的产电特性明显受到抑制.当葡萄糖浓度为1000mg/L,NB初始浓度分别为0、50、150、250mg/L时,MFC的运行周期逐渐缩短,分别为55.7、51.6、45.9、32.2h;最大输出电压分别为670、597、507、489mV;最大体积功率密度分别为28.57、20.42、9.29、8.47W/m3;电荷量分别为65.10、43.50、35.48、30.32C.MFC利用NB和葡萄糖为混合燃料,可以在稳定地输出电能的同时实现有机物高效降解,MFC对NB去除率高达100%,对COD的去除率达到87%～98%.但以250mg/LNB为单一燃料时,MFC无明显产电现象.DGGE图谱表明NB的加入改变了MFC阳极电极上微生物的群落结构.     

深海溢油输移扩散模型研究

在对深海中泄漏的油气混合物在海洋环境中的输运过程及行为变化的分析基础上,建立三维深海溢油输移扩散模型。该模型采用拉格朗日积分法模拟溢油在近区的水下浮射扩散过程,应用粒子追踪法模拟油滴在水下远区的对流扩散以及油膜在海面的漂移扩散过程,并考虑了油气分离输移、气体溶解、天然气水合物形成与分解等复杂行为对溢油运动轨迹的影响。应用该模型数值模拟了两个大型深海溢油现场试验,结果显示溢油在水下环境中的时空分布模拟结果与现场监测数据符合较好,表明该模型具有较高的准确性和实用性,能够为深海溢油的防治管理提供理论与技术支持。     

环境浓度下磺胺混合物对秀丽线虫(Caenorhabditis elegans)生长、饮食、抗氧化酶及其调控基因表达水平的影响

磺胺类药物在环境中的普遍残留引起了人们对其潜在效应的担忧。因为磺胺混合物的效应不能通过单个物质效应进行准确预测,所以需要针对混合物效应开展深入研究。将秀丽线虫暴露于4种常用磺胺药物(磺胺嘧啶、磺胺吡啶、磺胺甲噁唑和磺胺甲嘧啶)组成的、环境浓度水平(0.01 mg·L-1)的混合物后,对生长调控基因dbl-1和egl-4,饮食调控基因eat-2和eat-18,过氧化氢酶(CAT)编码基因ctl-2和ctl-3,寿命调控基因sir-2,以及凋亡调控基因ced-4的表达水平进行检测。暴露组与空白对照组的结果比较表明,秀丽线虫dbl-1表达水平没有显著变化(下调3%),egl-4表达下调18%,解释了生长的抑制效应(抑制率为15.6%)。eat-2和eat-18的表达水平下调幅度相似,介于20%~22%之间,该幅度高于饮食的抑制效应(10.7%)。ctl-2和ctl-3的表达水平上调,分别比空白对照组高101%与66%,该幅度显著小于0.01 mg·L-1磺胺混合物暴露对CAT活性的刺激效应(比空白对照组高789.5%)。此外,sir-2的表达水平没有显著变化,与线虫寿命没有受到显著影响相一致。同时,ced-4表达上调32%,预示凋亡水平的显著增加。egl-4、eat-2、ctl-2和ced-4基因表达水平的显著变化分别表明磺胺混合物对β转化生长因子(TGF-β),烟酰乙酰胆碱受体(n AChR)、抗氧化系统以及细胞凋亡等多个方面的产生影响。     

Non-parametric MLE for Poisson species abundance models allowing for heterogeneity between species

The proper management of an ecological population is greatly aided by solid information about its species' abundances. For the general heterogeneous Poisson species abundance setting, we develop the non-parametric mle for the entire probability model, namely for the total number N of species and the generating distribution F for the expected values of the species' abundances. Solid estimation of the entire probability model allows us to develop generator-based measures of ecological diversity and evenness which have inferences over similar regions. Also, our methods produce a solid goodness-of-fit test for our model as well as a likelihood ratio test to examine if there is heterogeneity in the expected values of the species' abundances. These estimates and tests are examined, in detail, in the paper. In particular, we apply our methods to important data from the National Breeding Bird Survey and discuss how our methods can also be easily applied to sweep net sampling data. To further examine our methods, we provide simulations for several illustrative situations.     

Eutectic mixture promoted CO2 sorption on MgO-TiO2 composite at elevated temperature

The development of carbon dioxide(CO_2) sorbents that can operate at elevated temperatures is significant for the advancement of pre-combustion capture technologies.Recently, promoter-based systems composed of alkali/alkaline earth metal nitrates and/or carbonates have been considered as next-generation solid sorbents due to their improved CO_2 uptake and kinetics. However, obtaining stable MgO sorbents against temperature swing regeneration still remained challenging. Herein, we report MgO-TiO_2 solid sorbents promoted by eutectic mixture(KNO_3 and LiNO_3) for elevated temperature CO_2 sorption. The developed sorbents show improved CO_2 sorption capacity, which may be attributed to the alternative CO_2 sorption pathway provided by the ionization of highly dispersed MgO in the eutectic mixture. The MgO-TiO_2 framework was also shown to assist in retaining the MgO configuration by constraining its interaction with CO_2. Furthermore, it is demonstrated that constructing composite structures is essential to improve the CO_2 sorption characteristics,mainly recyclability, at elevated temperatures. The developed promoter integrated sorbents showed exceptionally high CO_2 sorption capacity of 30 wt.% at an elevated temperature(300°C) with pronounced stability under temperature swing operation.     

基于改进GMM算法的林火烟雾识别研究

针对森林火灾烟雾场景光照突变时传统混合高斯模型(GMM)无法适应的问题,提出基于改进GMM的林火烟雾识别算法。通过六足机器人平台上的CCD摄像机读取当前帧图像,与混合高斯模型建立的前一个背景图像作差分得到变化区域,计算二值化后的变化区域中像素值为1的像素点占总像素点的比例,与设定的阈值相比较从而判别森林火灾场景中的光照是否发生突变。若场景内光照发生突变,采用一个较大的更新速率α,保持模型的稳定性;若场景内光照未发生突变,根据不同的情况自适应调整更新速率α的值,保证模型快速收敛。实验表明,改进的GMM算法可检测到场景中相对完整的动态烟雾区域,满足林火烟雾的检测要求,以期为图像处理在森林火灾巡检机器人上的应用和进一步研究提供参考。