船舶区域溢油风险程度甄别的人工神经网络方法

利用误差反向传播 (BP)人工神经网络 ,建立了海域船舶溢油风险程度甄别的评价模型。该模型能够反映出研究海域各区域发生船舶溢油事件的风险等级差别 ,具有一定的客观性和实用性。     

Measurement of air exchange rates in different indoor environments using continuous CO2 sensors

A new air exchange rate (AER) monitoring method using continuous CO₂ sensors was developed and validated through both laboratory experiments and field studies. Controlled laboratory simulation tests were conducted in a 1-m³ environmental chamber at different AERs (0.1-10.0 hr^-1). AERs were determined using the decay method based on box model assumptions. Field tests were conducted in classrooms, dormitories, meeting rooms and apartments during 2-5 weekdays using CO₂ sensors coupled with data loggers. Indoor temperature, relative humidity (RH), and CO₂ concentrations were continuously monitored while outdoor parameters combined with on-site climate conditions were recorded. Statistical results indicated that good laboratory performance was achieved: duplicate precision was within 10%, and the measured AERs were 90%-120% of the real AERs. Average AERs were 1.22, 1.37, 1.10, 1.91 and 0.73 hr^-1 in dormitories, air-conditioned classrooms, classrooms with an air circulation cooling system, reading rooms, and meeting rooms, respectively. In an elderly particulate matter exposure study, all the homes had AER values ranging from 0.29 to 3.46 hr??1 in fall, and 0.12 to 1.39 hr^-1 in winter with a median AER of 1.15.     

Synthesis of TiO2 nanoparticles in different thermal conditions and modeling its photocatalytic activity with artificial neural network

Titanium dioxide (TiO₂) nanoparticles were prepared by sol gel route. The preparation parameters were optimized in the removal of 4-nitrophenol (4-NP). All catalysts were analyzed by X-ray diffraction (XRD) and scanning electron microscopy (SEM). An artificial neural network model (ANN) was developed to predict the photocatalytic removal of 4-NP in the presence of TiO₂ nanoparticles prepared under desired conditions. The comparison between the predicted results by designed ANN model and the experimental data proved that modeling of the removal process of 4-NP using artificial neural network was a precise method to predict the extent of 4-NP removal under different conditions.     

萘降解菌MQ合成靛蓝的研究

利用萘降解菌(丛毛单胞菌)MQ完整细胞对吲哚进行转化合成靛蓝,结果表明菌株MQ具有较好的靛蓝合成能力,靛蓝产量在4h左右即达到稳定.薄层色谱和高效液相色谱分析结果表明,合成的蓝色产物为靛蓝.考察了反应温度及摇床转速对靛蓝合成的影响,结果表明最适温度和转速分别为25℃和150r·min-1.随后,采用表面响应法确定了菌株MQ合成靛蓝的最优条件:菌株接种量OD6602.16,吲哚浓度200.55mg·L-1,pH=6.91.在最优条件下,菌株MQ合成靛蓝的产量为53.05mg·L-1,比初始条件下的产量提高了179%.     

基于响应曲面法袋式除尘器清灰性能的数值研究

利用计算流体动力学（CFD）方法,采用二维、可压缩、非稳态流动数学模型,对袋式除尘器脉冲喷吹过程中滤袋内的清灰流场进行了数值模拟,比较了滤袋壁面压力峰值的模拟值和试验值.同时,利用该模型,基于响应曲面法并使用统计软件MinitabV15研究了喷嘴直径、喷吹高度、文丘里管喉管直径、文丘里管及布袋长度对袋式除尘器清灰性能的影响,并得出了这5个影响因子的二次多项式预测模型.结果表明,滤袋表面压力峰值的模拟值与试验值变化趋势基本上是一致的,误差在10%左右,从而验证了本文数值计算模型的可靠性.在上述5个影响因素中,喷嘴直径（d）、文丘里管喉管直径（de）及布袋长度（L）对清灰性能影响显著,其中,清灰性能随着喷嘴直径和文丘里管喉管直径的增大而提高,随着布袋长度的增大先提高后降低.在本文所研究的尺寸范围内,当d=20mm、de=60mm及L=3360mm时,清灰效果分别达到最优.所得结论有助于进一步改善袋式除尘器的清灰性能.     

基于SOM和多元分析的滇池沉积物污染特征空间模式研究

联合运用层次聚类分析(HCA)、判别分析(DA)和自组织映射神经网络(SOM)3种数值方法,对滇池2008—2010年17个底泥监测点位(10个常规点位及7个新增点位)9种污染物进行空间差异性和相似性分析,并评价各指标在空间的分布特征及监测点代表性.结果表明:滇池沉积物整体污染程度为草海>外海中部及南部>外海北部.As、Hg、Pb、Cd、Cu和Zn污染最严重的点位是断桥;草海中心的凯氏氮污染最严重,其他指标污染水平仅次于断桥;Cr和TP污染最严重的点位是新增点位盘龙江2;海埂是全局污染最轻的点位.现有的常规监测点位对整体污染特征的代表性较弱,建议取消异质性最低的白鱼口、观音山西、观音山东和罗家营站点;考虑污染特征和监测点位空间分布的均匀性,建议将盘龙江2、海埂和马料河设为常规监测点位.     

关于我国环境空气质量监测点位设置的思考

设置各种空气质量监测点位时,应以监测网络的监测目的为根本出发点,并同时考虑点位功能和空间代表尺度、点位环境条件以及实际经济技术条件等因素。一个完整的环境空气质量监测网络应涵盖各类功能的监测点位,从而达到监测网络建设的多目标要求,然而空气质量监测点位的建设是一个不断发展和完善的过程。目前我国城市空气质量监测点以空气质量评价点为主,其目的是掌握城市整体空气质量状况和长期变化趋势,为环境管理和污染防治提供决策依据,但这类监测点位的功能相对单一,难以满足公众了解详尽的空气质量状况信息的需求。未来,随着监测投入的增加,我国应进一步完善地方监测网络建设,使之涵盖不同功能的监测点位,从而更好地为公众提供空气质量预警信息和健康指引。     

响应曲面法优化物理活化制备羊骨基活性炭工艺

为通过物理活化法制备羊骨活性炭,采用响应曲面(Response surface methodology,RSM)实验设计,以活化温度、活化时间、CO2流量为试验因素,以碘吸附值为响应值,建立数学模型,工艺条件进行优化。结果表明:最佳工艺条件为活化温度476.05℃、活化时间9.34 min、CO2流量159.4 mL/min,在此条件下碘吸附值为411 mg/g;通过对碘吸附值曲面方程和二次多项回归方程解逆矩阵得知该方程的预测值与实际值之间具有较好的拟合度。     

天然胶/公共网络/废胶粉互穿聚合物网络

通过互穿聚合物网络技术成功制备了天然橡胶/公共网络/废胶粉共轭三组分,并测定了力学性能和微观形态。结果表明:当A/B摩尔比为2/1、AB含量为4.5%、废胶粉粒径为60目、废胶粉含量为15%时,体系的力学性能最好,共轭三组分天然橡胶/公共网络/废胶粉体系的磨耗体积明显低于两组分天然橡胶/废胶粉体系的磨耗体积。界面共轭互穿改善了界面结合,可减少反复压缩过程中的相间摩擦生热和变形。     

智能化有害有毒气体污染源监测仪的研究

为了快速寻找有害有毒气体污染源,利用8个红外激光气体传感器,分别安装步进电机驱动旋转的圆盘圆周上在不同的方向上对污染气体进行数据采集。同时与二维热差式风速风向传感器采集到的风速风向数据,一并送入MSC1210单片机进行数据处理和运用智能人工神经网络进行模式训练与模式识别,从而识别出污染源的位置、浓度和种类。通过GPS全球卫星定位系统和GPRS无线传输网络,把监测到的信息发送给相关部门早做处理,并报警,避免污染进一步扩散。实验表明,该智能化追索气体污染源监测仪具有良好的可靠性、安全性和实用性。