Construction of vesicle CdSe nano-semiconductors photocatalysts with improved photocatalytic activity: Enhanced photo induced carriers separation efficiency and mechanism insight

Visible-light-driven photocatalysis as a green technology has attracted a lot of attention due to its potential applications in environmental remediation. Vesicle Cd Se nano-semiconductor photocatalyst are successfully prepared by a gas template method and characterized by a variety of methods. The vesicle Cd Se nano-semiconductors display enhanced photocatalytic performance for the degradation of tetracycline hydrochloride, the photodegradation rate of78.824% was achieved by vesicle Cd Se, which exhibited an increase of 31.779% compared to granular Cd Se. Such an exceptional photocatalytic capability can be attributed to the unique structure of the vesicle Cd Se nano-semiconductor with enhanced light absorption ability and excellent carrier transport capability. Meanwhile, the large surface area of the vesicle Cd Se nano-semiconductor can increase the contact probability between catalyst and target and provide more surface-active centers. The photocatalytic mechanisms are analyzed by active species quenching. It indicates that h+and UO_2~-are the main active species which play a major role in catalyzing environmental toxic pollutants. Simultaneously, the vesicle Cd Se nano-semiconductor had high efficiency and stability.     

Predicting vehicle fuel consumption patterns using floating vehicle data

The status of energy consumption and air pollution in China is serious. It is important to analyze and predict the different fuel consumption of various types of vehicles under different influence factors. In order to fully describe the relationship between fuel consumption and the impact factors, massive amounts of floating vehicle data were used. The fuel consumption pattern and congestion pattern based on large samples of historical floating vehicle data were explored, drivers'' information and vehicles'' parameters from different group classification were probed, and the average velocity and average fuel consumption in the temporal dimension and spatial dimension were analyzed respectively. The fuel consumption forecasting model was established by using a Back Propagation Neural Network. Part of the sample set was used to train the forecasting model and the remaining part of the sample set was used as input to the forecasting model.     

Mesoporous carbon nanomaterials induced pulmonary surfactant inhibition, cytotoxicity, inflammation and lung fibrosis

Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The family of mesoporous carbon nanomaterials(MCNs) is a rising star in nanotechnology for multidisciplinary research with versatile applications in electronics,energy and gas storage, and biomedicine. Meanwhile, there is mounting concern on their environmental health risks due to the growing production and usage of MCNs. The lung is the primary site for particle invasion under environmental exposure to nanomaterials. Here, we studied the comprehensive toxicological profile of MCNs in the lung under the scenario of moderate environmental exposure. It was found that at a low concentration of 10 μg/mL MCNs induced biophysical inhibition of natural pulmonary surfactant. Moreover, MCNs at similar concentrations reduced viability of J774 A.1 macrophages and lung epithelial A549 cells.Incubating with nature pulmonary surfactant effectively reduced the cytotoxicity of MCNs.Regarding the pro-inflammatory responses, MCNs activated macrophages in vitro, and stimulated lung inflammation in mice after inhalation exposure, associated with lung fibrosis.Moreover, we found that the size of MCNs played a significant role in regulating cytotoxicity and pro-inflammatory potential of this nanomaterial. In general, larger MCNs induced more pronounced cytotoxic and pro-inflammatory effects than their smaller counterparts. Our results provided valuable information on the toxicological profile and environmental health risks of MCNs, and suggested that fine-tuning the size of MCNs could be a practical precautionary design strategy to increase safety and biocompatibility of this nanomaterial.     

多环芳烃在冬小麦体内的吸收与转运及富集研究进展

多年来以煤炭为主的能源消费结构和经济社会持续发展,导致我国PAHs(多环芳烃)排放量居高不下,直接造成土壤和大气PAHs严重污染.为了探明PAHs在冬小麦体内的积累过程和调控机制,在系统分析PAHs在冬小麦体内的吸收、转运和富集的基础上,重点阐述了冬小麦PAHs根系吸收和叶面吸收影响因素方面的最新研究进展.研究发现:① 小麦根系对PAHs的吸收包括主动吸收和被动吸收两种方式,其中主动吸收是一个载体协助、消耗能量、PAHs与H+共运的过程;被动吸收除了在高等植物中普遍存在的简单扩散外,水-甘油通道也参与了该过程. ② PAHs通过气态、颗粒态沉降到小麦叶面角质层或直接通过气孔进入叶片. ③ 影响PAHs根系和叶面吸收的主要因素包括PAHs理化性质、植物生理状况、环境因素等. ④ 小麦根系吸收的PAHs可以向地上部转运,并且与辛醇-水分配系数(K_OW)、蒸腾速率、土壤中氮的形态和浓度有关.主要问题:① 对于小麦叶片吸收的PAHs向基运输机理有待进一步研究. ② 农田生态系统中冬小麦往往遭受土壤及大气双重污染,根系吸收及叶面吸收分别对其体内积累PAHs的贡献尚不清楚.因此,需关注韧皮部、木质部在PAHs转运中所起的作用;利用同位素示踪、双光子激发显微镜等先进技术观察和跟踪PAHs如何进入小麦以及在小麦叶中的转移和分布,阐明PAHs叶面吸收的微观机理;注重大田试验研究,为揭示冬小麦对PAHs的吸收、积累及调控机理,同时也为有机污染地区生产安全农产品提供重要依据.      

堆肥化处理TNT红水污染土壤

DNTS[二硝基甲苯磺酸盐,主要包括2,4-DNT-3-SO₃-(2,4-二硝基甲苯-3-磺酸盐)和2,4-DNT-5-SO₃-(2,4-二硝基甲苯-5-磺酸盐]是TNT (2,4,6-三硝基甲苯)红水污染土壤中主要污染物质,为研究堆肥化对土壤中DNTS的降解效果,采用有机废物堆肥方法,探讨堆肥化对TNT红水污染土壤中DNTS降解的可行性,以及温度、含水率和pH变化对降解效果的影响.结果表明,有机废物堆肥能处理TNT红水污染土壤,在堆肥60 d内,5个堆肥体系(猪粪+木屑、猪粪+麦壳、污泥+木屑、污泥+麦壳和马粪+木屑)对2,4-DNT-3-SO₃-的降解率为65.5%~88.4%,对2,4-DNT-5-SO₃-的降解率为60.9%~100%.在第4天各堆肥体系的高温阶段(29.7~53.6℃),5个堆肥化体系中2,4-DNT-3-SO₃-总量的49.5%~67.3%被降解,说明各堆体的中温-高温阶段对有机物的降解起重要作用.堆体含水率随堆肥时间的延长呈下降趋势,在堆肥第8天,外源补水至体系含水率为50%,猪粪+麦壳体系对2,4-DNT-3-SO₃-的降解率从70.2%增至88.4%,说明适当的外源补水可提高2,4-DNT-3-SO₃-的降解率.5个堆肥体系中pH均呈初期上升、后期下降并趋于稳定的趋势,但在整个堆肥过程中,堆体pH始终保持在7.3~8.3之间.研究显示,5个堆肥体系中猪粪+麦壳体系对DNTS的降解率最高,分别为88.4%和100%.      

流体剪切与超声空化破解剩余污泥的参数优化

为提高剩余污泥的破解效果并降低能耗,采用FS（fluid shear,流体剪切）、UC（ultrasonic cavitation,超声空化）、FS和UC联合工艺（FS-UC,UC-FS）破解剩余污泥,并应用单因素试验结合响应面法对联合工艺进行优化.结果表明:FS对剩余污泥破解效果一般,只在开始阶段具有较好效果,随作用时间延长,破解效果未有显著提高甚至下降.UC对剩余污泥破解效果明显,随作用时间延长,破解效果显著提升,但能耗也随之增大,EDR（energy disintegration ratio,效能比）明显下降.相同作用时间下,UC破解效果优于FS破解效果,UC破解剩余污泥的DD_COD（degree of disintegration,破解率）与EDR均明显高于FS方法.单因素试验得出的较优FS作用时间范围为2~8 min,较优UC作用时间范围为5~15 min.响应面法试验结果显示,联合工艺的剩余污泥破解效果和能量利用率均优于单一方法,联合工艺中FS-UC工艺的破解效果优于UC-FS工艺.FS-UC工艺的最佳参数:FS处理5.6 min再UC处理15.0 min,该条件下剩余污泥实际DD_COD为50.8%,EDR为26.8%.UC-FS工艺的最佳参数:先UC作用15.0 min再FS作用7.8 min,该条件下剩余污泥实际DD_COD为36.5%,EDR为17.1%.研究显示,以DD_COD和EDR为指标,4种工艺的高效性顺序为FS-UC > UC-FS > UC > FS,其中FS-UC工艺具有能耗低、破解效率高的特点,是4种工艺中剩余污泥破解效果最好的一种工艺.      

基于ES-VSP分布的交通状态对公交车动态排放的影响

为评估不同交通状态下公交车运行特征和排放水平的差异,现场采集广州市B9、226线路公交车的逐秒GPS数据,以ES-VSP（发动机负荷-机动车比功率）分布表征畅通、轻度拥堵和中度拥堵下的公交车运行特征,结合IVE（international vehicle emission）模型求得公交车平均排放因子并分析其差异.结果表明:①所测公交车的发动机低负荷区中bin11（-1.6 < ES ≤ 3.1,-2.9 kW/t ≤ VSP < 1.2 kW/t）频率范围为50.55%~83.39%,中度拥堵时bin 11频率是畅通时的1.1~1.3倍;② 3种交通状态下公交车的CO、VOC（运行产生的挥发性有机物）、VOC_evap（蒸发产生的挥发性有机物）、NO_x（氮氧化物）和PM（颗粒物）平均排放因子范围分别为7.63~11.40、0.26~0.46、0.68~1.56、0.32~0.51和0.72×10-2~1.28×10-2 g/km;③同种交通状态下,主干路公交车专用道和BRT车道的公交车的大部分污染物平均排放因子低于次干路混行车道、主干路混行车道,中度拥堵时主干路BRT车道的CO、VOC、VOC_evap、NO_x和PM平均排放因子相对其他道路最低,分别为7.66、0.27、0.87、0.32和0.75×10-2 g/km;④次干路混行车道、主干路混行车道的公交车污染物平均排放因子随交通状态愈加拥堵而增大,但畅通时主干路BRT车道的公交车行驶速度、加速度较高,导致CO平均排放因子较高,对应3种交通状态其比例为1.0:0.9:0.8.研究显示,交通状态对公交车运行和排放具有显著影响.      

小黑山岛海域网采大型浮游动物群落特征季节变化及其与环境因素关系研究

海岛生态系统是一类特殊的海洋生态系统,本研究关注了小黑山岛海域网采大型浮游动物群落特征季节变化及其与环境因子之间的相互关系。小黑山岛位于山东省的庙岛群岛之中,处于黄渤海分界线之上,本研究基于小黑山岛海域2013~2015年8个航次的现场调查数据,鉴定出浮游动物36种,其中桡足类13种,浮游动物丰度变化范围为1.5~287.5 ind/m3,平均68.4 ind/m3,生物量变化范围为0.3~346.9 mg/m3,平均51.9 mg/m3,Shannon多样性指数变化范围为0.64~2.15,平均1.22,Pielou均匀度指数变化范围为0.41~1.00,平均0.76。主要优势种有中华哲水蚤、强壮滨箭虫等,典范对应分析（CCA）结果显示环境因子中水温（WT）、透明度（Tra）和盐度（Sal）等对浮游动物群落分布影响较大,冬季强壮滨箭虫对桡足类群落特征可能有重要影响。     

黄海-西北太平洋表层海水Hg的形态研究

于2015年3月29日至5月6日乘东方红2号从青岛前往西北太平洋,采用现场测定与室内分析结合的方法分析了黄海到西北太平海域表层海水中Hg形态及分布特征,以认识黄海到西北太平洋海水Hg的含量及区域Hg的迁移。黄海-西北太平洋表层海水中总汞（THg,total mercury）变化范围为0.11~2.50 ng/L,平均为0.75±0.51 ng/L,THg的含量呈近海高大洋低;表层海水中活性汞（RHg,reactive mercury）范围为0.10~1.45 ng/L,平均为0.33±0.24 ng/L,RHg/THg平均为48.4%,海水中RHg与水温呈显著性正相关（r=0.494*,P=0.045）;表层海水中溶解性气态汞（DGM,dissolved gaseous mercury）的含量为11.7~105.7 pg/L,平均浓度39.6±22.9 pg/L。海水中DGM与气温呈显著正相关（r=0.633*,P=0.011）,与风速呈显著负相关关系（r=-0.660**,P=0.006）。从黄海到西北太平洋DGM含量逐渐升高,其日变化呈现白天高夜晚低的趋势,主要受光照的影响。     

黄、东海海域浒苔时空分布变化特征研究

选取黄海、东海海域为研究区域,以MODIS遥感影像数据为数据源,计算了研究区的比值植被指数,利用动态阈值分割和ArcGIS空间分析方法获取了2008~2015年浒苔发生初期空间分布特点、漂移路径、空间分布和聚集度变化特征等信息。结果表明:1）浒苔最初于五月中旬到六月上旬期间出现在江苏盐城市北部和长江口附近海域。2）随着浒苔的生长和爆发,浒苔均会先向西北漂移至苏北外海海域,然后再进入黄海。其漂移路径具有明显的年际变化特征。3）在生长过程中,浒苔斑块空间分布状态整体由南向北生长、汇聚和扩张,少部分年份会出现整体漂移现象。4）进入治理期后,覆盖密度不断减小直至浒苔完全消失。通过该研究可以更好地了解浒苔灾害发生和发展规律,为其有效治理提供技术支持。