基于机器学习的细粒度空气质量时间预测器

针对空气质量状况的预防和治理,提出了基于线性回归的空气质量预测方法。作为时间预测器,更多的是考虑本地的历史数据、过去与未来的状况,挖掘空气质量随时间变化的关系以及变化趋势,为了选取最优的特征,对数据进行分析,找到与空气质量变化关系密切且存在线性关系的特征,以此特征来建立线性回归模型,并使用Cross-Validation方法进行评估验证。实验结果表明线性回归方法能够有效地预测到空气质量的变化趋势,效果良好,具有较强的实用性。     

曝气量和盐度对硝化型颗粒污泥脱氮速率及粒径分布的影响

采用SBR反应器,在交替缺氧/好氧模式下处理低C/N生活污水,考察曝气量、盐度对短程硝化好氧颗粒污泥脱氮速率及粒径分布的影响.结果表明,在25℃、pH为7.5～8.0条件下,当进水NH4+-N为65 mg·L-1时,控制曝气量分别为8.75、12.50和16.25 L·h-1·L-1,在第35、24和23个周期时NH4...     

太原市冬季SO_2、PM_(10)和PM_(2.5)浓度城郊变化特征研究

通过对太原市2013年冬季SO2、PM10和PM2.524小时浓度均值实时数据的整理和分析,结果表明,各项污染物浓度在城区和郊区差异显著。由于城郊地形条件、气象条件基本一致,各项污染物24小时浓度月变化曲线趋势基本相同。城郊PM2.5和PM10浓度比值范围与均值差别较小,比值月变化曲线趋势基本相同,城郊颗粒物污染物来源相同或相近。相关性分析表明PM2.5分别与PM10和SO2浓度均为高度正相关关系,三者污染源存在较大一致性,冬季区域污染主要以燃煤排放大气污染物为主要特征。     

火焰脉动在火灾领域相关研究进展

为研究火焰脉动在火灾领域相关研究进展,总结了不同燃料类型的火焰脉动形成机理,较为详细地介绍了火焰脉动现象研究中常用的脉动频率测量方法,列举了LDV、TDLAS、自由基团高频采集等新方法;介绍了池火脉动、射流/羽流气体火脉动在不同燃烧器尺寸,不同外部环境和不同燃料比等影响因素方面的研究内容与进展;对常见的3种不同的火焰脉动模型进行描述和归类;对火焰脉动的规律、机理等在火灾领域的早期识别和检测中的作用、特殊条件对于火焰脉动频率的影响和更加精细的火焰脉动模型的研究等方向提出展望。     

大气颗粒物中类腐殖质的测定、理化特性及健康影响

类腐殖质(humic-like substance,HULIS)是一类水溶性、相对分子量高的有机混合物,常见于雾滴、云滴、积雪和大气颗粒物(PM)中.本文主要综述了大气PM中HULIS的提取和分析方法、毒理性、吸光特性和光敏性,重点探讨了PM中有机物和过渡金属(尤其是Fe离子)产生活性氧化性物种(reactive oxygen species,ROS)从而破坏DNA的致毒机理,进一步提出HULIS(含有可逆的氧化还原位点)单独或与过渡金属螯合成有机-金属配体形成ROS的机理.最后对未来大气HULIS的研究方向进行了展望,指出今后应该加强大气HULIS、金属等通过细胞内催生ROS的测定及细胞毒性相关的研究,并关注HULIS的化学结构、分子组分等的定量分析,更好地揭示物质结构与细胞毒性之间的作用机制和关系,以期为大气HULiS的健康影响提供支持.     

An extraction-assay system: Evaluation on flavonols in plant resistance to Pb and Cd by supercritical extraction-gas chromatography

In this research, supercritical carbon dioxide extraction (SFE) showed better extraction effect when compared with Solid- liquid extraction (SLE), Soxhlet extraction (SE) and Ultrasonic extraction (UE), not only in the rate but also the time. The comparison among these three extraction modifiers, including acetone, ethanol and methanol demonstrated that ethanol was preferred to SFE due to its high extraction effect and low toxicology. In addition, parameter of SFE, influence of temperature and pressure were investigated, and the best extraction effect was achieved at the optima conditions, temperature of 40°C and the pressure of 35 MPa. Thus, SFE is a highly effective method for flavonols extraction, requiring minimum energy and producing non-toxic byproduct. SFE-GC system is applied for the evaluation on flavonols that plays a key role in plant resistance to heavy metal, with its content and synthetase gene expression significantly increasing in plant when threatened by heavy metal. Besides, results indicated that flavonols can improve plant resistance to oxidative stress by quenching the redundant ROS in matrix.

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Ti/Ru/SnO2+Sb2O5电极的制备及其对垃圾渗滤液的电催化氧化

通过实验探究了不同Ru掺杂量对 Ti/Ru/SnO2+Sb2O5电极电化学性能及表面结构的影响。结果表明：Sb含量10%,溶胶涂覆6层,煅烧温度600 ℃,煅烧时间1 h条件下,Ru掺杂量为10%的涂层电极的加速寿命最长,为50 min;该条件下制备的电极涂层表面金属氧化物 SnO2的特征峰强度较大,峰形窄;涂层表面光滑,无裂缝。同时用Ti/Ru/SnO2+Sb2O5电极处理垃圾渗滤液MBR出水,Ru掺杂为10%的电极对废水COD去除率最高,为93.33%,电解出水芳香化程度大幅降低,对腐殖质和芳香族化合物的去除效果良好。研究对Ti/Ru/SnO2+Sb2O5电极在实际工业生产中的应用具有指导意义。     

沸石对降雨径流中氨氮的吸附特性

城市面源污染是重要水体污染源之一,降雨发生时,雨水径流会携带累积在路面、屋面的含有机物、氮磷、重金属等污染物质进入水体,其中氮磷是造成水体富营养化的重要因素。针对这一情况,采用不同种类沸石,对雨水径流中的氮磷进行了吸附研究,着重考察了沸石对氨氮的吸附动力学,吸附等温线特征,并考察了pH、共存阳离子以及COD对吸附能力的影响。结果表明,Na型改性沸石吸附性能优于其他2种,饱和吸附量达到9.09 mg/g,沸石的吸附过程符合准二级动力学模型。Mg2+、Ca2+对Na型改性沸石的影响较大,Na型改性沸石吸附氨氮的适宜pH为5~8。本研究为探索用物化方法来处理雨水提供了依据,Na型改性沸石可以作为吸附雨水中氨氮的优选吸附剂。     

不同碳源对微生物修复石油污染土壤的促进作用

为解决石油污染土壤中以石油为唯一碳源的土著微生物生长缓慢的问题,研究了分别添加玉米淀粉、玉米粉、可溶性淀粉和葡萄糖4种碳源对土样细菌总量和石油烃降解率的影响。研究结果表明：玉米淀粉作为碳源时土样TN和TP的下降幅度均最大;添加玉米淀粉和玉米粉比添加可溶性淀粉和葡萄糖更有利于细菌的生长繁殖;细菌对直链烷烃化合物均具有较好的降解效果,但对较为复杂的芳香烃化合物降解效果较差。降解反应第40天时,分别添加玉米淀粉、玉米粉、可溶性淀粉和葡萄糖的石油烃降解率分别为67.25%、48.60%、46.30%和28.57%。     

Comparison of six particle size distribution models on the goodness-of-fit to particulate matter sampled from animal buildings

Lognormal distribution is often used as a default model for regression analysis of particle size distribution (PSD) data; however, its goodness-of-fit to particle matter (PM) sampled from animal buildings and its comparison to other PSD models have not been well examined. This study aimed to evaluate and to compare the goodness-of-fit of six PSD models to total suspended particulate matter (TSP) samples collected from 15 animal buildings. Four particle size analyzers were used for PSD measurement. The models' goodness-of-fit was evaluated based on adjusted R2, Akaike's information criterion (AIC), and mean squared error (MSE) values. Results showed that the models' approximation of measured PSDs differed with particle size analyzer. The lognormal distribution model offered overall good approximations to measured PSD data, but was inferior to the gamma and Weibull distribution models when applied to PSD data derived from the Horiba and Malvern analyzers. Single-variable models including the exponential, Khrgian-Mazin, and Chen's empirical models provided relatively poor approximations and, thus, were not recommended for future investigations. A further examination on model-predicted PSD parameters revealed that even the best-fit model of the six could significantly misestimate mean diameter median diameter; and variance. However, compared with other models, the best-fit model still offered the relatively best estimates of mean and median diameters, whereas the best predicted variances were given by the gamma distribution model.