渝东南典型地质高背景区土壤重金属来源解析及污染评价

为了解渝东南典型地质高背景区土壤重金属的污染特点,解析其污染来源并针对性地提出风险管控建议,在重庆市酉阳县北部兴隆镇和木叶乡共采集土壤表层样品(0～20 cm)211件,分析了表层土壤8种重金属(As、 Cd、 Cr、 Cu、 Hg、 Ni、 Pb和Zn)的含量及土壤pH值,采用数理统计、污染负荷指数、潜在生态风险指数、相关性分析和正定矩阵因子分解(PMF)模型等技术,研究了表层土壤重金属的含量及空间分布特征,并开展了污染评价和重金属的来源解析.结果表明,表层土壤重金属平均含量均超过重庆市土壤背景值,呈现出不同程度的富集情况,其中Cd超《土壤环境质量农用地土壤污染风险管控标准》(GB 15618-2018)中筛选值的比例高达83.41%,超管制值的比例为7.58%,潜在风险较高.污染负荷指数法评价结果显示研究区整体呈轻微污染,潜在生态风险指数评价结果显示研究区整体生态风险较高,其中重金属Hg、 Cd和As的贡献率分别为50.27%、 28.63%和11.70%.PMF结果显示研究区土壤中重金属的来源主要3种,即自然母质源、农业源和工业活动及交通排放的混合源,所占比例分别为40.49%、...     

活性污泥处理偶氮染料废水过程中胞外聚合物特性研究

采用序批式反应器(SBR)考察了偶氮染料浓度对活性污泥的污染物去除性能及胞外聚合物(Extracellular polymeric substances,EPS)的影响.结果表明,COD、染料及营养物的去除率均随着进水染料浓度的增加而下降,但进水染料浓度对EPS的影响却呈现不同的趋势.当进水染料浓度为5 ～40 mg·L-1时,EPS含量随着染料浓度的增加而增加;当进水染料浓度超过40 mg·L-1时,EPS含量却随着染料浓度的增加而减少.染料的加入导致活性污泥EPS中蛋白质的含量增加,且其变化趋势与EPS变化一致;EPS中腐殖酸的浓度低于蛋白质浓度;而EPS中多糖的浓度最低,为8 mg·g-1.三维荧光光谱结果显示,不同染料浓度下EPS荧光吸收峰数量及位置相同,分别为类蛋白峰(λEx/λEm=240 nm/375 ～394 nm)和类富里酸类峰(λEx/λEm =270 nm/410～416 nm),但两个吸收峰的荧光强度不同.     

Flocculating characteristic of activated sludge flocs: Interaction between Al3+ and extracellular polymeric substances

Aluminum flocculant can enhance the flocculating performance of activated sludge.However,the binding mechanism of aluminum ion(Al 3+) and extracellular polymeric substances(EPS) in activated sludge is unclear due to the complexity of EPS.In this work,threedimensional excitation emission matrix fluorescence spectroscopy(3DEEM),fluorescence quenching titration and Fourier transform infrared spectroscopy(FT-IR) were used to explore the binding behavior and mechanism between Al 3+ and EPS.The results showed that two fluorescence peaks of tyrosineand tryptophan-like substances were identified in the loosely bound-extracellular polymeric substances(LB-EPS),and three peaks of tyrosine-,tryptophanand humic-like substances were identified in the tightly boundextracellular polymeric substances(TB-EPS).It was found that these fluorescence peaks could be quenched with Al 3+ at the dosage of 3.0 mg/L,which demonstrated that strong interactions took place between the EPS and Al 3+.The conditional stability constants for Al 3+ and EPS were determined by the Stern-Volmer equation.As to the binding mechanism,the-OH,N-H,C=O,C-N groups and the sulfurand phosphorus-containing groups showed complexation action,although the groups in the LB-EPS and TB-EPS showed different behavior.The TB-EPS have stronger binding ability to Al 3+ than the LB-EPS,and TB-EPS play an important role in the interaction with Al 3+.     

Optimized processing power and trainability of neural network in numerical modeling of Al Matrix nano composites

In this research, an experimental study of reinforcing alumina nano-particles into the aluminum alloy matrix was implemented to verify the accuracy of modeling results obtained by feed forward neural networks. Artificial neural network combined with numerical technique were used to predict the various parameters of mechanical properties such as hardness, tensile and compressive yield stress, UTS and elongation percentage. Much experimentation were taken to discover a suitable number of hidden neurons, avoid detraction from the trainability and enable feed forward neural networks to solve more complex problems. The predictions were found to be consistent with experimental measurements.     

青岛市臭氧污染与非污染期间VOCs化学特征及来源解析

青岛市夏季臭氧浓度水平高且污染事件频发,开展臭氧污染过程和非污染时期的挥发性有机物(VOCs)及其臭氧生成潜势(OFP)的精细化来源解析研究,对于有效降低沿海城市的大气臭氧污染,持续改善环境空气质量将会发挥重要的作用.因此,利用青岛市2020年夏季(6～8月)小时分辨率的在线VOCs监测数据,分析臭氧污染过程和非臭氧污染时期环境VOCs的化学特征,并通过正定矩阵因子分解(PMF)模型进行了环境VOCs及其OFP的精细化来源解析研究.结果表明,青岛市夏季环境ρ(TVOCs)平均值为93.8μg·m^-3,臭氧污染过程相较于非臭氧污染时期TVOCs浓度上升了49.3%,其中芳香烃浓度增加最显著,增加了59.7%.夏季环境VOCs总的OFP达到246.3μg·m^-3,臭氧污染过程相较于非臭氧污染时期环境VOCs的总OFP增加了43.1%;其中烷烃增加最多,增加了58.8%.间-乙基甲苯和2,3-二甲基戊烷是臭氧污染过程中OFP增加幅度最大的物种.青岛市夏季环境VOCs的主要贡献源为柴油车(11.2%)、溶剂使用(4.7%)、液化石油气及天然气(27....     

Characterization, reactivity, source apportionment, and potential source areas of ambient volatile organic compounds in a typical tropical city

Based on one-year observation, the concentration, sources, and potential source areas of volatile organic compounds (VOCs) were comprehensively analyzed to investigate the pollution characteristics of ambient VOCs in Haikou, China. The results showed that the annual average concentration of total VOCs (TVOCs) was 11.4 ppbV, and the composition was dominated by alkanes (8.2 ppbV, 71.4%) and alkenes (1.3 ppbV, 20.5%). The diurnal variation in the concentration of dominant VOC species showed a distinct bimodal distribution with peaks in the morning and evening. The greatest contribution to ozone formation potential (OFP) was made by alkenes (51.6%), followed by alkanes (27.2%). The concentrations of VOCs and nitrogen dioxide (NO₂) in spring and summer were low, and it was difficult to generate high ozone (O₃) concentrations through photochemical reactions. The significant increase in O₃ concentrations in autumn and winter was mainly related to the transmission of pollutants from the northeast. Traffic sources (40.1%), industrial sources (19.4%), combustion sources (18.6%), solvent usage sources (15.5%) and plant sources (6.4%) were identified as major sources of VOCs through the positive matrix factorization (PMF) model. The southeastern coastal areas of China were identified as major potential source areas of VOCs through the potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) models. Overall, the concentration of ambient VOCs in Haikou was strongly influenced by traffic sources and long-distance transport, and the control of VOCs emitted from vehicles should be strengthened to reduce the active species of ambient VOCs in Haikou, thereby reducing the generation of O₃.     

重庆典型城区PM2.5生物标志物组分特征及源指示

于2015年10月~2016年8月在重庆大学A区采集秋冬春夏4个季节PM_2.5样品（n=77）,分析生物标志物（n-alkanes、UCM、藿烷和甾烷）组分特征,探讨季节变化和对来源的指示.结果表明,重庆沙坪坝区PM_2.5中Σn-alkanes （C₁₁~C₃₈）和UCM年均浓度分别为328.69ng/m³和2.52μg/m³,均为冬季最高,夏季最低.28n-alkanes PMF源解析识别出4个因子：化石燃料燃烧（23.45%）、化石燃料残留（29.1%）、生物质燃烧（21.35%）和高等植物蜡排放（26.1%）.UCM与可分离烷烃组分比例（U：R）为1.29~3.33.夏季U：R最低,可能是受温度和光照的驱使,微生物和植物的生命活动旺盛所致.藿烷Ts/Tm、C30αβ/C31αβ（22R）和C31αβ（22S）/（22S+22R）的年均值分别为1.15,5.26和0.59,指示以机动车尾气排放为主的高成熟度石油烃输入.甾烷C29αββ/（ααα+αββ）和C29ααα（20S）/（20S+20R）的年均值分别为0.40和0.53,主要指示高成熟度化石燃料残余物输入.PSCF分析表明,Σn-alkanes的潜在源区主要集中在四川东南部和重庆西部及其相接壤附近区域,UCM的潜在源区主要分布在四川东南部.     

加入SOA示踪的深圳大气PM2.5受体模型源解析

为厘清包括二次有机气溶胶（SOA）在内的深圳市区PM_2.5各种一次和二次来源贡献,本文于2017年9月2日~2018年8月29日在深圳市大学城点位开展PM_2.5样品采集,并进行化学组分和水溶性有机物（WSOM）质谱测量,共获得162组有效数据.观测期间深圳市大气PM_2.5平均质量浓度为26μg/m³,在传统PMF源解析的基础上加入羧基离子碎片（CO₂⁺）作为SOA的示踪物,加入水溶性有机氧（WSOO）用于计算各因子O/C,验证有机物解析效果.结果表明,SOA可以被独立解析出,其O/C明显高于其他一次污染源中有机物;机动车、二次硫酸盐、二次硝酸盐、SOA为最主要的4个源,对PM_2.5质量浓度的贡献分别为25%、23%、17%和10%,船舶、地面扬尘、老化海盐、建筑尘、生物质燃烧、燃煤和工业贡献均在5%以内.各个源的变化特征表明,机动车、二次硫酸盐、二次硝酸盐、SOA等源贡献呈现冬高夏低的季节特征,与冬季季风条件下源自内陆的污染传输密切相关.污染天气时,二次硝酸盐和SOA的贡献增加相对最显著,因此NOx和挥发性有机物是减排的关键.     

亚洲大陆流出羽中气溶胶磷的来源解析

利用西风盛行时在青岛采集的总悬浮颗粒物（TSP）样品,分析其中总P （TP）和溶解态P （DP）浓度与气团后向轨迹的关系,采用正定矩阵因子分析（PMF）和潜在源贡献因子分析（PSCF）方法解析TP和DP的来源及其潜在贡献区域.结果表明：青岛气溶胶中TP主要来自地壳源的贡献（45%）;其次是机动车排放源（22%）、燃烧源（21%）和工业源（12%）;海盐源的贡献最小（<1%）.但DP主要来自人为源的贡献,其中机动车排放源的贡献为35%,燃烧源和/或二次源为28%、工业源为25%;地壳源和海盐源等自然源的贡献分别为9%和1%.相同来源的TP和DP其潜在贡献区域相似,但DP的贡献区域范围更广.地壳源P （TP和DP）的贡献区域集中在沙尘从源地向我国近海传输的路径上,海盐源P的贡献区域位于黄、渤海,工业源P的贡献区域主要为河南、山东以及蒙古国南部等地区,燃烧源/二次源P的主要贡献区域为山东南部和江苏北部区域,机动车排放源P的贡献区域则主要为北京、天津、山东、江苏等区域.     

燃烧生成棕色碳的三维荧光光谱分析

模拟燃烧11 种常见物质(秸杆、木材、煤和生活垃圾等),并收集烟气中可溶于甲醇的有机产物,利用紫外-可见吸收光谱(UV-Vis)和三维荧光光谱(EEMs)对收集的甲醇可溶性有机物(MSOM)进行表征.进一步,结合非负矩阵分解法(NMF)提取三维荧光光谱主要组分的特征激发/发射光谱,根据荧光信号轮廓差异对不同种类物质进行区分,旨在建立棕色碳溯源依据.结果显示,秸杆和木材燃烧源棕色碳在紫外-可见吸收光谱上呈现相似的谱形,均在265nm处存在肩峰;瓦楞纸板和塑料燃烧源棕色碳的吸收则随波长增加单一下降.由于基本组分相同,各生物质及纸板对应的棕色碳的EEM有着相似的轮廓,NMF解析结果表明,生物质和纸板的MSOM存在3种主要荧光组分,分别为两种类腐殖质C1、C2和类蛋白质C3;煤的EEM在长波处有较强的分布,可归因于芳香类基团,由其EEM分解出M1、M2和M3荧光团,三者位置均较生物质红移.根据荧光团位置以及光谱信号轮廓特征,可对生物质和煤进行区分;泡沫、塑料袋和塑料瓶属于有机高分子材料,其EEM与生物质有较大的差别,且三者之间也存在差异,泡沫和塑料袋的MSOM含有4种荧光成分,而从塑料瓶的MSOM中只可得到两种荧光团,特征明显.