Transport modeling of copper and cadmium with linear and nonlinear retardation factors

The predictive accuracy of using the one-dimensional advection–dispersion equation to evaluate the fate and transport of solute in a soil column is usually dependent on the proper determination of chemical retardation factors. Typically, the distribution coefficient (K_d) obtained by fitting the linear sorption isotherm has been extensively used to consider general geochemical reactions on solute transport in a low-concentration range. However, the linear distribution coefficient cannot be adequately utilized to describe the solute fate at a higher concentration level. This study employed the nonlinear equilibrium-controlled sorption parameters to determine the retardation factor used in column leaching experiments. Copper and cadmium transportation in a lateritic silty-clay soil column was examined. Through the explicit finite-difference calculations with a third-order total-variation-diminishing (TVD) numerical solution scheme, all results of the theoretical copper and cadmium breakthrough curves (BTCs) simulated by using the Freundlich nonlinear retardation factors revealed good agreement with the experimental observations.     

Determination of source contributions to ambient PM2.5 in Kaohsiung, Taiwan, using a receptor model

Ambient particulates of PM2.5 were sampled at three sites in Kaohsiung, Taiwan, during February and March 1999. In addition, resuspended PM2.5 collected from traffic tunnels, paved roads, fly ash of a municipal solid waste (MSW) incinerator, and seawater was obtained. All the samples were analyzed for twenty constituents, including water-soluble ions, organic carbon (OC), elemental carbon (EC), and metallic elements. In conjunction with local source profiles and the source profiles in the model library SPECIATE EPA, the receptor model based on chemical mass balance (CMB) was then applied to determine the source contributions to ambient PM2.5. The mean concentration of ambient PM2.5 was 42.69-53.68 micrograms/m3 for the sampling period. The abundant species in ambient PM2.5 in the mass fraction for three sites were OC (12.7-14.2%), SO4(2-) (12.8-15.1%), NO3- (8.1-10.3%), NH4+ (6.7-7.5%), and EC (5.3-8.5%). Results of CMB modeling show that major pollution sources for ambient PM2.5 are traffic exhaust (18-54%), secondary aerosols (30-41% from SO4(2-) and NO3-), and outdoor burning of agriculture wastes (13-17%).     

Heavy metal retention and partitioning in a large-scale soil-aquifer treatment (SAT) system used for wastewater reclamation

Soil aquifer treatment (SAT) of wastewater relies on extensive biogeochemical processes in the soil and aquifer to achieve large-scale and economic reclamation of municipal effluents. Removal of trace metals from the wastewater is a prime objective in the operation, but the long-term sustainability of the adsorptive filtration capacity of the soils is an open question. Solid/solution partitioning (measured by the distribution coefficient, K(d)) and solid/solid partitioning (measured by selective sequential dissolution, SSD) of heavy metals were measured in soils sampled from active recharge basins in a wastewater reclamation plant and were compared to the adjacent pristine dune. K(d) values for the adsorption of Cu, Ni and Zn, measured in short-term adsorption experiments positively and significantly correlated with solution pH. Quantitative estimation of Cu, Ni and Zn adsorption on multi-sorbents indicated that surface adsorption and precipitation on Fe oxides and/or carbonate may be the major mechanisms of metal retention in these soils. SSD analyses of metal partitioning in soils exposed to approximately 20yr of effluent recharge showed that all solid-phase components, including the most stable 'residual' component, competed for and retained added Cu and Zn. Copper preferentially partitioned into the oxide component (32.0% of the soil-accumulated metal) while Zn preferentially partitioned into the carbonate component (51.6% of the soil-accumulated metal).     

臭氧-曝气生物滤池处理酸性玫瑰红染料废水

在实验室配制含酸性玫瑰红染料的印染废水，采用臭氧氧化-曝气生物滤池工艺开展处理试验。试验运行结果表明，臭氧氧化处理能提高模拟废水的可生化性，BOD／COD值由原水的0．18上升到0．36。经组合工艺处理后出水COD〈40mg／L，色度40倍以下，SS约50mg／L，处理效果良好。     

低COD浓度废水启动EGSB反应器

以厌氧活性污泥和好氧活性污泥接种于2个膨胀颗粒污泥床(EGSB)反应器中,进水流量为10 mL/min,回流量为180 mL/min,进水COD浓度在180 mg/L左右,有机负荷率(OLR)为1.728 kg COD/m3·d左右,污泥负荷率(SLR)为0.19 kg COD/kg MLSS·d左右,出水COD浓度维持在40mg/L左右,COD去除率达80%以上.控制温度在32～35 ℃,pH在6.8～7.2,反应器内氧化还原电位在-340 mV以下,水力停留时间(HRT)4.2 h,上升流速4.86 m/h以及加入80 mg/L絮凝剂(硫酸铝钾),缩短了启动时间,促进了颗粒污泥的形成.分别经过60 d和120 d运行,反应器启动成功.结果表明,上升流速、絮凝剂和污泥类型对颗粒污泥的形成有影响;接种好氧活性污泥在低浓度COD下,合理控制负荷速率能成功启动EGSB反应器.     

热解析-固相微萃取-气相色谱法测定空气样品中挥发性有机化合物

建立了热解析-固相微萃取-气相色谱法测定空气样品中挥发性有机化合物的分析方法，并对色谱分离条件、玻璃针筒保存样品的稳定性、固相微萃取萃取纤维、萃取时间、色谱进样时间等条件进行了优化，9种挥发性有机化合物的峰面积与其质量浓度在所测范围内有较好的线性关系，相对标准偏差＜8.8%，检出限为0.05～0.75 μg/100 mL，满足实际空气样品测定需要。     

腐殖酸、细颗粒泥沙对粉末活性炭吸附苯酚特性影响的研究

通过一系列实验,探讨了粉末活性炭吸附水中苯酚时,腐殖酸(HA)浓度和细颗粒泥沙用量对苯酚吸附量和去除率的影响.实验结果表明:在中性条件下,随着HA浓度的增加,粉末活性炭对苯酚的吸附量减少;在不同质量细颗粒泥沙的影响下,苯酚的去除率基本不变;在未加HA时,粉末活性炭对苯酚的吸附行为用Langmuir吸附等温式拟合效果最好,对苯酚的最大吸附量为150.60 mg/g,而在有HA存在时,粉末活性炭对苯酚的吸附行为用Freundlich吸附等温式拟合效果最好,对苯酚的最大吸附量为28.49 mg/g.     

一株耐酸SRB的分离及其脱硫除镉性能

为减轻酸性矿山废水引起的环境污染,为矿山废水处理提供潜在的菌种资源,从土壤中分离出一株耐酸的硫酸盐还原菌SRB1并探讨了该菌株的还原硫酸盐和除镉特性.结果表明该菌株具有较强的脱硫除镉能力,其最低耐受pH值,最适温度,最大耐Cd²⁺浓度分别为3.7,35℃和40mg/L.在COD/SO₄^2-≥2,Cd²⁺浓度≤30mg/L条件下,除镉率可达99%以上.在高浓度Cd²⁺和SO₄^2-的体系中,该菌对Cd²⁺有较强的吸附作用,能将Cd²⁺从50mg/L降至15.5mg/L,吸附率达58%,采用二次培养能将SO₄^2-从1.5g/L降至0.04g/L,脱硫率达97.3%,Cd²⁺浓度几乎降为零.TEM、FTIR、SEM表征显示,在镉胁迫下,该菌株的细胞形态发生改变,吸附前后,红外吸收峰改变明显,沉淀颗粒含有结晶CdS.     

2005~2016年中国大气边界层SO2的时空变化趋势

利用臭氧观测仪（OMI）卫星遥感反演的大气边界层（PBL）SO₂柱含量（PBL SO₂）数据分析了自2005年以来中国PBL SO₂柱含量数据的空间分布特征、变化趋势及其影响的原因.从长时间尺度上,PBL SO₂柱含量呈现明显的下降趋势.2005年中国区域年平均PBL SO₂柱含量为0.317DU,2016年为0.276DU,减少了0.041DU,大约为13.2%.SO₂柱含量呈现明显的周期变化特征.冬季浓度较高,夏季较低,最小值和最大值分别出现在7和12月,分别为0.246和0.404DU.小波分析显示SO₂的变化在10个月的尺度水平上存在明显的主振荡周期,在40个月的尺度水平上存在明显的次周期变化.中国区域SO₂污染严重的高值区主要出现在京津冀鲁环渤海地区、关中平原（山西省和陕西省）、河南省大部分地区、四川盆地、长江三角洲地区和珠江三角洲.最大的SO₂柱含量值可达1.1DU以上.京津冀鲁环渤海地区的高值区已经延伸到长江三角洲地区,有向南延伸和珠江三角洲连在一起的趋势.由于地形和天气特征的影响,四川盆地地区SO₂出现次高值区.在青藏高原和西北地区,SO₂浓度较低,呈现背景值特征,多年平均的SO₂约在0.05DU的水平.中国区域SO₂变化趋势在空间分布上存在明显的区域差异,变化的范围在-0.70~0.15DU之间.SO₂出现逐渐减少的地区主要是在高值区,如京津冀鲁环勃海地区、关中平原、四川盆地,长江中下游和珠江三角洲.减幅最大的是四川盆地和珠江三角洲,大约减少了61%.四川盆地2005~2016年约减少了0.55DU;珠江三角洲约减少了0.45DU.出现增长的地区主要是西部和北部地区,以及东南沿海除珠三角外的大部分区域,最大增长大约为0.15DU.     

秦巴集中连片特困区多维贫困度量及其空间格局

连片特困区贫困是特殊的区域性贫困,实现持久脱贫,关键在于识别和评估区域的贫困程度以及深究其致贫原因。基于此,通过构建经济维度硬现状、社会维度软现状及自然维度潜在状态3维的多维贫困度量指标体系,应用均方差权重法测算了2006、2010及2014年秦巴集中连片特困区及各子区域的多维贫困度,并分析了多维贫困及其各维度的时空演变规律。结果表明：（1）秦巴集中连片特困区多维贫困度得分偏高,表明该区域贫困程度较深,且多维贫困在不同贫困维度上呈现显著差异。（2）2006—2014年秦巴集中连片特困区多维贫困度都呈减弱趋势,且表现出以甘肃省徽县至湖北省房县为轴带的中部地区集聚的空间演变趋势。（3）在整体多维贫困显著改善的同时,不同连片扶贫区及不同的贫困维度在减贫路径上也体现出不同的演化特征。所得结论为该区域内县域尺度贫困类型特征识别以及扶贫工作前期评估以及后期验收成效等提供一定技术支持,也为后期实施因地制宜的脱贫措施提供科学的辅助决策支撑。