地铁同站台高架换乘车站火灾全尺寸实验研究—(2)站厅火灾

为了研究地铁同站台高架换乘车站火灾情况,在地铁同站台高架换乘车站站厅层应急疏散路径关键节点部位开展0.25~0.75 MW规模的全尺寸实验,结合流速、烟气温度和现场观测情况,对自然通风条件下不同部位起火时的火灾危险性进行分析。结果表明:该结构车站站厅火灾危险程度受火源规模、装修形式和通风条件的影响,站厅中部闸机附近起火时,火源阻塞了站厅中部的疏散路径,掺混大量空气的低温烟气在站厅两侧出站闸机处沉降至地面高度;楼扶梯入口处起火时,站内各区域能够形成稳定的烟气分层,人眼高度能见度较高;出入口附近起火时,受自然风的影响,火源下风向区域烟气沉降严重,人眼高度的能见度较低,不利于人员疏散;在实验火灾规模下站厅各区域沉降至危险高度的烟气最高温度为30~41℃。针对此类结构车站站厅的防排烟设计,应综合考虑出入口空间布局和吊顶形式对火灾危险性的影响,利用自然风压形成一定通风换气量,同时,应将掺混空气的低温烟气控制在较小区域内,确保人员疏散路径的能见度和烟气浓度处于安全水平。     

地热能融雪技术研究

北方冬季漫长,冰冻时期长,雪量大,导致清雪工作艰难。由于清雪工作不及时导致的交通事故多,严重影响交通运输和危及他人生命安全。利用Fluent对地热能融雪过程进行数值模拟,得出路面积雪的温度场及相界面的融雪规律,并针对散热管管径的大小、散热管埋设的间距和深度进行对比研究,为地热能融雪技术路面设计提供参考。     

高海拔矿井风机气动噪声数值模拟及实验研究

为研究高海拔矿井风机气动噪声规律,建立小型轴流风机三维物理模型,利用CFD软件对环境气压分别为1,0.9,0.8,0.7,0.6及0.5 atm时的风机模型进行定常模拟、非定常模拟及噪声计算,并通过自主设计的压变实验装置对上述不同环境气压条件下风机转数分别为500,1 000,1 500和2 000 rpm时的风机噪声进行测试,分析风机叶片附近监测点噪声频谱曲线及压变环境风机噪声实验数据,结果表明:风机转数和环境气压是影响风机气动噪声的2个重要因素;环境气压P一定时,风机转数n越大,各频率下的风机气动噪声声压级SPL越大,且风机噪声总声压级Lp和平均声压级Lavg均随风机转数n的增大呈对数函数增加;风机转数n不变时,随着海拔高度的升高,环境气压P降低,各频段下风机气动噪声声压级SPL均将减小,且风机噪声总声压级Lp和平均声压级Lavg随环境气压值P的降低呈线性函数减小,环境气压每降低0.1 atm,二者分别降低1.47和1.29 dB。     

基于城乡统筹的公共安全规划研究——以长株潭城市群为例

以长株潭城市群公共安全规划为研究对象,本着"资源节约、环境友好"两型社会建设的要求,从保护人的安全出发,以实现城乡统筹的风险控制和风险减缓设施建设。长株潭城乡公共安全,规划包括:重大危险源安全规划编制、开敞空间及综合避灾场地规划以及区域综合防灾规划3个方面,强调对城乡统筹的安全内容;该安全规划既是政治经济发展的战略要求,也是政府职能部门的管理要害,还是城乡居民基本的生存保障,具有前瞻性,以完善技术设计来降低风险,同时在管理上加强协调性和拓展性。     

山区井场周边人群疏散实验研究——实验设计

为防止气矿开采及运行发生天然气泄漏事故对社会公众造成影响,确保突发情况下快速有序有效地将受到影响的社会公众转移或疏散至安全地带,最大限度保护群众的安全,通过对山区井场周边人群疏散的现场实验,获取山区环境下人群疏散的行为特征、疏散时间、运动速度等数据,为山区地形条件下大规模人群疏散模拟计算提供基础性实验数据,并为井喷事故发生时人员应急疏散组织和管理提供参考。本文及后续文章将报道气矿井场周边人群疏散演练的实验研究。这里,主要对实验方案包括疏散人群、疏散路径及测试方案等进行介绍。     

某碱渣堆放场对岩溶地下水的影响分析

结合某碱渣堆放场的水文地质状况,通过模拟试验,探讨了碱渣堆放场对岩溶地下水的影响。结果表明,碱渣场在冲灰水和大气降水的浸泡、淋滤作用下,其中的氯化物和钙镁盐类大量析出并随碱渣废液一起下渗,石灰岩碎石对氯化物有一定的吸附作用,但能力微弱。据试验数据分析认为,该渣场是焦作市北中部岩溶地下水中氯化物浓度和总硬度持续升高的主要原因。     

燃烧过程氮氧化物系统中反应和传递模型研究进展

氮氧化物是空气中主要污染物之一,随着计算燃烧学迅速发展,氮氧化物(NOx)生成反应和传递过程的模拟在燃烧反应器设计工作中所起的作用越来越重要,如何建立合理而经济的预测模型,是其中的关键问题之一。根据国内外的研究现状,本文对燃烧过程氮氧化物系统中的反应和传递模型研究进展进行了评述,讨论了各个模型的优点和不足,并提出了NOx预测模型今后的发展方向。     

初沉池内速度场数值模拟

采用改进的k-ε两方程模型和SIMPLEC算法,对平流式初沉池内速度场进行了数值模拟,研究发现:池内存在着一个小回流区和一个大回流区,小回流区位于进水区底部,大回流区位于入流挡板后的沉淀池上部,约占整个容积的30%~40%,是初沉池性能下降的重要原因。     

用废橡胶制备沥青再生剂的实验

为了实现废物资源综合利用,以橡胶对沥青的性能改善为基础,以废橡胶为原料,在轻组分助剂介质中采用微波降解和助溶处理技术制备沥青再生剂.通过正交实验设计,以再生沥青的针入度、延度、旋转薄膜烘箱老化(RTFOT)后的针入度比及残留延度为评价指标确定了再生剂原材料的合理配比及工艺条件,并进行了再生剂的效果试验.研究表明,最佳配比及条件为增塑剂DOP 40%,芳香油分糠醛抽出油40%,废橡胶粉20%,抗老剂添加量为以上总量的0.5%,微波功率为900 W,处理时间为10 min.再生效果试验表明,10%的再生剂用量可以有效补充老化沥青缺失的组分,恢复其胶体结构及流变性能.     

Occurrence and temporal variations of the xenoestrogens bisphenol A, 4-<Emphasis Type="Italic">tert</Emphasis>-octylphenol,and tech. 4-nonylphenol in two German wastewater treatment plants

GOAL, SCOPE, AND BACKGROUND: The xenoestrogens bisphenol A, 4-tert-octylphenol, and the technical isomer mixture of 4-nonylphenol (tech. 4-nonylphenol) belong to the group of chemicals which are called endocrine disrupters due to their property of causing hormonal dysfunctions in the endocrine system of organisms at very low concentrations. Bisphenol A, 4-tert-octylphenol, and the tech. 4-nonylphenol (mixture of isomers) were determined in water samples collected from the influent and effluent of two German wastewater treatment plants (WWTP) during a long-time sampling period from February 2003 till August 2005 to assess their occurrence and temporal variations in WWTPs. METHODS: The compounds were extracted and concentrated from water by solid-phase extraction (SPE) using Bond Elut PPL cartridges and quantified by use of gas chromatography-mass spectrometry (GC-MS). RESULTS: The influent concentrations were as follows: Bisphenol A < limit of detection of the method (< ldm)--12,205 ng L(-1), tech. 4-nonylphenol < ldm--10,186 ng L(-1), and 4-tert-octylphenol 39-1,495 ng L(-1). The measured effluent concentrations were lower with values in the range of < ldm--7,625 ng L(-1) for bisphenol A, < ldm--14,444 ng L(-1) for tech. 4-nonylphenol, and < ldm--392 ng L(-1) for 4-tert-octylphenol. All target compounds were largely eliminated during the wastewater treatment process. The elimination efficiency varied between 73% and 93%. DISCUSSION: All analytes show highly fluctuating influent concentrations with very high peak concentrations at particular sampling times. The variation of effluent concentrations is by far lower than the variation of influent concentrations. For tech. 4-nonylphenol, a significant temporal concentration variation has been detected with very high concentrations up to the microgram-per-liter level in the time from February 2003 till July 2003 and clearly decreasing concentrations in the time from June 2004 till August 2005. This corresponds well with the implementation of Directive 2003/53/EC (nonylphenol and nonylphenol ethoxylates in the European Union "may not be placed on the marked or used as a substance or constituent of preparations in concentrations equal or higher than 0.1% by mass") from January 2005 on. Bisphenol A is present in the effluent samples in a wide range of concentrations from below the detection limit to high concentrations up to the microgram-per-liter level. For 4-tert-octylphenol, no particular trend of concentration development has been observed. CONCLUSIONS: Combined SPE and GC-MS proved to be an efficient method to identify and quantify polar organic compounds in environmental samples. With respect to the concentrations measured in the present study, bisphenol A sometimes is the prominent compound in influent samples. Neither bisphenol A nor 4-tert-octylphenol or tech. 4-nonylphenol show seasonal variations. However, there was a significant general trend of decreasing concentrations of tech. 4-nonylphenol in influent and effluent samples from both WWTPs which probably reflects the implementing Directive 2003/53/EC. RECOMMENDATIONS AND PERSPECTIVES: Further research is needed to investigate whether the observed decrease of tech. 4-nonylphenol concentrations in German WWTPs since June 2004 will continue further on. The reason for the high effluent concentrations of bisphenol A in only a few samples has to be clarified in further research. The results from this study provide insight into the concentration development of the xenoestrogens bisphenol A, tech. 4-nonylphenol, and 4-tert-octylphenol in WWTPs in the time span between 2003 and 2005.