Effect of alginate on the aggregation kinetics of copper oxide nanoparticles (CuO NPs): bridging interaction and hetero-aggregation induced by Ca<Superscript>2+</Superscript>

The stability of CuO nanoparticles (NPs) is expected to play a key role in the environmental risk assessment of nanotoxicity in aquatic systems. In this study, the effect of alginate (model polysaccharides) on the stability of CuO NPs in various environmentally relevant ionic strength conditions was investigated by using time-resolved dynamic light scattering. Significant aggregation of CuO NPs was observed in the presence of both monovalent and divalent cations. The critical coagulation concentrations (CCC) were 54.5 and 2.9 mM for NaNO₃ and Ca(NO₃)₂, respectively. The presence of alginate slowed nano-CuO aggregation rates over the entire NaNO₃ concentration range due to the combined electrostatic and steric effect. High concentrations of Ca²⁺ (>6 mM) resulted in stronger adsorption of alginate onto CuO NPs; however, enhanced aggregation of CuO NPs occurred simultaneously under the same conditions. Spectroscopic analysis revealed that the bridging interaction of alginate with Ca²⁺ might be an important mechanism for the enhanced aggregation. Furthermore, significant coagulation of the alginate molecules was observed in solutions of high Ca²⁺ concentrations, indicating a hetero-aggregation mechanism between the alginate-covered CuO NPs and the unabsorbed alginate. These results suggested a different aggregation mechanism of NPs might co-exist in aqueous systems enriched with natural organic matter, which should be taken into consideration in future studies.

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Graphical abstract Hetero-aggregation mechanism of CuO nanoparticles and alginate under high concentration of Ca²⁺

     

Rebound effect and its decomposition – an analysis based on energy types in China

Rebound effect derived from energy efficiency improvement has been widely invested. However, most of studies focus on the rebound effect of the energy composite level and neither distinguish nor compare different energy types. We compare the differences in energy saving and energy rebound between primary and secondary energy sources, and further decompose the rebound effect into production rebound part and final demand component. To do so, we add a module for rebound into a comparative state China-CGE model. We design and test two simulation scenarios using the model. In Scenario 1, all production sectors’ energy efficiency of using primary energy increases by 5%. In Scenario 2, all production sectors’ energy efficiency of using secondary energy increases by 5%. The results show that Scenario 2 leads to more GDP growth and more energy saving. Our scenarios show rebound effects range between 9.6% and 27.9%, and in general are higher when energy efficiency of using primary energy sources is improved. Our decomposition analysis shows that improving energy efficiency in production sectors would stimulates energy use of final demand. Indeed, the consumption side has significant contribution to rebound in secondary energy use, especially in crude oil and gas. This study reveals that improving efficiency of using secondary energy is better than improving that of primary energy, both in terms of economic impact and energy rebound. And complementary policies that prevent energy services prices from falling too much can be adopted to reduce rebound. Controlling residential energy use could also be effective in reducing rebound, this has particular implication to economies in which residential energy consumption are far from saturation.     

分子筛吸附法脱除废水中的聚丙烯酰胺

聚丙烯酰胺(PAM)用于油田驱油产生大量难处理的含聚废水。以分子筛为吸附剂处理含聚废水,研究分子筛类型(Y、Beta和ZSM-5,H型和Na型)和物化性质对其吸附PAM性能的影响,并测定吸附等温线。结果表明,吸附性能顺序为BetaYZSM-5,H型优于Na型。H-Beta对PAM的吸附来自分子筛中阳离子与PAM中阴离子的静电作用,Si—O和Al—OH与PAM中酰胺基的氢键作用。H-Beta开放的通道结构,较高的介孔比例和表面积,较强的酸性和良好的酸中心可接近性使其具有优异的吸附性能。Si O2/Al2O3=26的H-Beta对浓度为200 mg/L的PAM溶液,PAM脱除率可达95.2%。在低PAM平衡浓度时,PAM在H-Beta上的吸附符合Langmuir单层吸附特征,饱和吸附量达70.2 mg/g,在高浓度区域则由于PAM疏水缔合作用加强呈现多层吸附。     

Fe~(3+)和Cu~(2+)对饮用水氯消毒副产物三卤甲烷形成的影响

为了研究水中存在Br-的情况下,Fe3+和Cu2+对三卤甲烷(THMs)的生成及CHCl3、CHBr Cl2、CHBr2Cl、CHBr34种消毒副产物相对分布的影响,以腐殖酸模拟氯消毒过程中的前体物进行实验。结果表明,在p H为6、7和9 3种条件下,Fe3+抑制了THMs的生成,p H=6时只有CHCl3生成量随着Fe3+浓度的增加逐渐减少,其余3种消毒副产物均在增加,p H=7时4种消毒副产物浓度均减小并在Fe3+浓度为2 mg/L时生成量最低,p H=9时的生成趋势与p H=6时类似。Cu2+能促进THMs的生成,在p H为6、7和9时,当加入0.5 mg/L Cu2+时,THMs总量分别增加了16.7%、22.6%和2.5%,随着p H增加,THMs总量增加。在3种p H环境中,Cu2+对THMs生成的影响大于Fe3+,在偏酸性环境中,Fe3+影响THMs生成,产生的致癌风险高,当金属离子浓度为2.5 mg/L时,致癌风险相差最高为15%,在中性和偏碱性环境中,Cu2+影响THMs生成,产生的致癌风险高。     

微波消解-流动注射分光光度法测定总氮和总磷

以碱性过硫酸钾溶液为消解液,采用微波消解-流动注射分光光度法测定水中总氮和总磷。在碱性过硫酸钾溶液中氢氧化钠质量浓度为9.6g/L、微波功率为320W、消解管长度为16m的条件下,总氮和总磷的检出限分别为0.040m g/L和0.020mg/L,线性范围分别为0.040～3.500mg/L和0.020～2.500mg/L,相对标准偏差分别为1.6%和1.0%。微波消解-流动注射分光光度法应用于河水、湖水、化工废水等实际水样中总氮和总磷的测定,加标回收率分别为95.7%～98.1%和97.2%～102.2%。     

基于WARMF模型的杭埠-丰乐河流域水文模拟研究

研究了WARMF模型在杭埠-丰乐河流域(巢湖流域最大支流)的水文模拟适应性能并进行了流域水文系统分析.利用AVSWAT2000模型将流域划分为37个子流域,利用流域地貌-土壤分布对应关系、土壤剖面结构、地下水位埋深等条件,确定了子流域的平面分组与剖面土层结构,较大程度上降低了流域模型参数校准的难度与不确定性.利用2000～2003年的水文观测数据,在参数灵敏度分析基础上,对模型水文参数进行了校准与检验.结果表明,WARMF在研究区具有较好的适应性能.WARMF模型与AVSWAT2000模型的水文模拟结果对比表明,WARMF模型具有更好的日拟合性能.基于模型的模拟结果,在空间尺度上定量分析了流域从降水开始到入湖的水循环过程,在时间尺度上分析了年内降雨、径流的分布及其对应关系.流域概化、模型的校准与检验以及流域水文时空变化的系统分析方法等对流域水文、环境的模拟研究与系统分析具有探索意义.     

铜管模拟输配系统中氯胺衰减过程与模拟

研究了氯胺在铜管模拟输配系统中的衰减过程,并利用一级反应动力学模型对氯胺衰减规律进行了模拟;考察了pH、初始氯胺浓度等水质条件与流速等水力条件对氯胺衰减速率的影响.结果表明,pH值是影响氯胺衰减速率与金属铜溶出的重要因素,pH越低氯胺衰减越快;提高氯胺初始浓度可加快氯胺衰减速度,也可增加金属铜的溶出量;流速对氯胺衰减速率的影响不大.此外,衰减动力学过程模拟结果表明,采用一级反应动力学模型可以较好地拟合不同条件下的氯胺衰减规律.从而对于工程中不同条件下消毒剂浓度预测具有重要意义.     

粉煤灰和生石灰对生活污水污泥脱水影响研究

通过比阻和泥饼含水率的测定,进行污泥脱水的粉煤灰(含粗、细)、生石灰投加实验。单独投加实验表明,在投量10g/100mL时,细粉煤灰(0.075mm筛下)能使比阻值降低91.8%,效果稍次于生石灰;且细粉煤灰降低泥饼含水率的效果最好。联合、单独投加对比实验表明,投量10g/100mL时,粉煤灰与生石灰以1∶1(质量比)联合投加降低比阻值达99.8%,效果好于二者单独投加;但联合投加降低泥饼含水率的效果不如单独投加粉煤灰,仅与生石灰的效果相当。     

β射线衰减法和重量法测定环境空气中PM10的对比研究

用β射线衰减法和重量法同步测定了2005年乐清市环境空气中PM10日均浓度,实验覆盖了乐清市的各种气象条件和PM10的浓度变化范围,具有一定的代表性.实验结果表明:在同一监测条件下,两种方法的测定结果具有一致性和可比性,β射线衰减法测得的PM10比重量法高,年均值偏高23%;两种方法测得的PM10高度相关,相关系数为0.994,能用回归直线来描述两者之间的关系.     

生物修复剂在清除海滩石油污染中的应用

介绍了生物修复石油污染海滩时常用的修复剂类型及其特点.当实验室环境条件能较好控制时,生物强化剂一般是有效的;然而污染现场得出的证据不能表明其对生物降解有促进作用.实验室和现场的研究均表明营养型生物促进剂能有效促进石油的生物降解.水溶性营养易被波浪和潮汐冲刷掉;缓释型营养盐面临的主要挑战是如何控制其释放速率,以保证孔隙水中能较长时间维持理想的营养浓度;亲油型肥料中含有有机碳,有可能在微生物降解石油之前被优先降解.建议根据污染环境的特点选用适合的生物促进剂.