黄山大气气溶胶新粒子生长特性观测分析

利用2012年9月22日~10月28日黄山地区大气气溶胶、二氧化硫和臭氧观测数据,结合气象数据,分析气溶胶新粒子的生成-增长特征.分析发现,在33个有效观测日中,有新粒子生成-增长的观测日占总数的18.2%,其中晴天的发生频率为37.5%,新粒子生成-增长都开始于晴天上午,与无新粒子观测日相比,太阳辐射量、风速、SO2及O3浓度较高,环境温度和相对湿度较低.气溶胶新粒子的增长具有由小及大的特点,核模态气溶胶粒子(10~20nm)数浓度最先增加,爱根核模态粒子(20~50nm)数浓度随着时间推移逐渐增大,但浓度峰值依次下降,平均增长率为3.58nm/h. SO2浓度先于核模态气溶胶数浓度到达峰值,其氧化后的产物H2SO4为新粒子的核化提供前体物,并且参与新粒子的增长过程,当SO2浓度较低时,不会发生新粒子生长事件.     

基于全局跨尺度时空注意力的深度神经网络海表面温度预测模型

海表面温度（sea surface temperature, SST）是海洋与大气之间相互作用的关键因素,海温控制着全球大气和海洋生态系统的变化。准确预测海表面温度的演变对治理全球大气系统和海洋生态系统都具有重要的意义。为了对SST数据的空间自相关性准确建模,本文提出了基于全局跨尺度时空注意力的深度神经网络海表面温度预测模型（deep neural network based on global cross-scale spatiotemporal attention, GCSA-DNN）。模型分为3个部分,从长时序数据中提取时序依赖特征的时序建模模块,从SST序列均值中提取空间分布规律特征的多尺度局部空间建模模块和基于全局跨尺度的时空注意力融合模块,实现每个网格点对全局自相关性的建模。本研究选择空间分布规律不同的东海和南海海域数据,对1981年9月1日至2022年4月7日美国国家海洋和大气管理局（national oceanic and atmospheric administration,NOAA）的数据进行了预测分析,共14829条数据,其中1981年9月1日至2021年8月31日的70%数据用于训练,30%用于验证,2021年9月1日至2022年4月7日的数据用于测试。结果表明,在不同的实验条件下该模型可以准确捕捉SST数据在时空过程中的演变规律,在东海和南海SST数据集上其准确度相较于卷积长短时记忆神经网络（convolutional long short-term memory, ConvLSTM）分别提高了14.07%和14.18%,提升了SST预测的准确度。     

宁波-舟山海域入海污染物环境容量研究

在宁波-舟山海域数值模拟潮流场的基础上,建立了该海域各污染源的响应系数场,计算了主要污染源COD、无机氮和活性磷酸盐的分担率场,及各污染源和控制单元的环境容量.研究结果将为该海域入海污染物总量控制提供科学依据.     

Bacterial toxicity comparison between nano- and micro-scaled oxide particles

Toxicity of nano-scaled aluminum, silicon, titanium and zinc oxides to bacteria (Bacillus subtilis, Escherichia coli and Pseudomonas fluorescens) was examined and compared to that of their respective bulk (micro-scaled) counterparts. All nanoparticles but titanium oxide showed higher toxicity (at 20 mg/L) than their bulk counterparts. Toxicity of released metal ions was differentiated from that of the oxide particles. ZnO was the most toxic among the three nanoparticles, causing 100% mortality to the three tested bacteria. Al₂O₃ nanoparticles had a mortality rate of 57% to B. subtilis, 36% to E. coli, and 70% to P. fuorescens. SiO₂ nanoparticles killed 40% of B. subtilis, 58% of E. coli, and 70% of P. fluorescens. TEM images showed attachment of nanoparticles to the bacteria, suggesting that the toxicity was affected by bacterial attachment. Bacterial responses to nanoparticles were different from their bulk counterparts; hence nanoparticle toxicity mechanisms need to be studied thoroughly.     

Leaching of copper and zinc from spent antifouling paint particles

Leaching of Cu and Zn from a composite of spent antifouling paint particles, containing about 300 mg g⁻¹ and 110 mg g⁻¹ of the respective metals, was studied in batch experiments. For a given set of simulated environmental conditions, release of Cu was independent of paint particle concentration due to attainment of pseudo-saturation, but Zn was less constrained by solubility effects and release increased with increasing particle concentration. Leaching of Cu increased but Zn decreased with increasing salinity, consistent with mechanisms governing the dissolution of Cu₂O in the presence of chloride and Zn acrylates in the presence of seawater cations. Because of complex reaction kinetics and the presence of calcium carbonate in the paint matrix, metal leaching appeared to be greater at 4 °C than 19 °C under many conditions. These findings have important environmental and biological implications regarding the deliberate or inadvertent disposal of antifouling paint residues.     

活性污泥的耐盐驯化培养

以某污水处理厂二沉池好氧污泥为接种污泥,采用逐步提高盐度和稳定盐度2种方法对活性污泥进行耐盐性驯化培养,考察驯化结果表明,前一种方法更有利于耐盐菌的培养。对比不同盐度情况下各项指标的去除效果得出:本实验污泥适宜盐度为1%。使用稳定进水盐度的方法,出水指标及各指标的去除率均低于逐步提高盐度法,且镜检结果表明大量微生物死亡。     

基于PMF模式的南京市大气细颗粒物源解析

为研究南京市大气细颗粒物(PM2.5)污染来源,分别在3个点位、4个季节开展了PM2.5环境样品的采集,共获得170个有效样本.对样本进行了化学成分分析,包括Al、Fe、Na、Mg、K、Ba、Li、Tl、Mn、Co、Ni、Cu、Zn、Sb、Pb、Cr、Ce、Na+、NH4+、Mg2+、Ca2+、SO42-、NO3-、Cl-、以及OC、EC,共计26种.首先采用OC/EC最小比值法估算出二次有机气溶胶(SOA)的含量;然后利用正矩阵因子分解法(PMF)对PM2.5的非SOA部分进行来源解析,共解析出6类因子:二次无机气溶胶(SIA)、燃煤、机动车排放、地面扬尘、冶金和其它源,贡献率分别25.0%、23.5%、20.4%、17.1%、3.0%和11.0%;最后基于南京市SO2、NOx、VOCs三种主要前体污染物的排放量,分别对SIA和SOA在一次来源中进行再分配.最终结果表明,南京市PM2.5主要来源为燃煤、机动车、扬尘、工业和其它源,其贡献率分别为29.6%、22.4%、14.6%、18.7%和14.7%.     

Effect of long-term changes in soil chemistry induced by road salt applications on N-transformations in roadside soils

Of several impacts of road salting on roadside soils, the potential disruption of the nitrogen cycle has been largely ignored. Therefore the fates of low-level ammonium-N and nitrate-N inputs to roadside soils impacted by salting over an extended period (decades) in the field have been studied. The use of road salts disrupts the proportional contributions of nitrate-N and ammonium-N to the mineral inorganic fraction of roadside soils. It is highly probable that the degree of salt exposure of the soil, in the longer term, controls the rates of key microbial N transformation processes, primarily by increasing soil pH. Additional influxes of ammonium-N to salt-impacted soils are rapidly nitrified therefore and, thereafter, increased leaching of nitrate-N to the local waterways occurs, which has particular relevance to the Water Framework Directive. The results reported are important when assessing the fate of inputs of ammonia to soils from atmospheric pollution.     

生活垃圾焚烧炉渣湿法处理前后化学特性表征

选取4个地区(编号为C、X、N、J)生活垃圾焚烧炉渣及其湿法处理后炉渣(分别称为原生炉渣及集料),针对元素成分、氧化物组分及重金属与溶盐的毒性浸出特性等开展实验分析。结果表明:(1)与原生炉渣对比,集料的化学元素含量变化较大,主要元素Si、Al、C含量均不同程度增加,而Cl、Fe及重金属Zn、Pb、Cr、Cu等含量基本降低;集料中SiO2和Al2O3均明显增加。(2)除C原生炉渣浸出液中Ni(7.62mg/L)严重超标外,其他3种原生炉渣浸出液中Pb、Cu、Ni浸出浓度均低于《危险废物鉴别标准浸出毒性鉴别》(GB 5085.3—2007)中浸出毒性鉴别标准值。与原生炉渣相比,除N集料外,其余集料浸出液中3种重金属(Pb、Cu、Ni)含量基本下降,特别是C集料浸出液中Ni浸出质量浓度下降到低于检测限;集料浸出液中Cl-和SO24-浸出浓度均下降,Cl-浸出质量浓度在C集料浸出液中下降最多,约下降72%,SO24-浸出质量浓度在J集料浸出液中下降最多,约下降86%。