A combined radical and non-radical oxidation processes for efficient degradation of Acid Orange 7 in the homogeneous Cu(II)/PMS system: important role of chloride

Environmental Science and Pollution Research - Trace copper ion (Cu(II)) in water and wastewater can trigger peroxymonosulfate (PMS) activation to oxidize organic compounds, but it only works under...     

武汉地区夏季和秋冬季大气污染的天气概念模型

利用2013～2019年武汉市生态环境局监测数据、L波段雷达探空资料、NCEP/NCAR逐日再分析资料,对夏季和秋冬季武汉地区污染日的大气污染特征、边界层结构、环流形势、物理量场进行研究,建立了武汉地区大气污染的天气概念模型.主要结论如下:(1)武汉市空气质量具有季节性变化特征,大气污染程度四季分布表现为冬＞秋＞春＞夏.夏季首要污染物是臭氧,冬季首要污染物是PM2.5.(2)比较挑选出的夏季清洁日和污染日的气象要素特征,污染日逆温的平均强度约为清洁日的一倍,逆温底高一般在600 m以下,空气质量一般为轻度-中度污染;静风频率(37.1％)明显高于清洁日的静风频率(2.9％);污染日平均风速小(0.8 m/s),边界层内相对湿度较低.同样比较秋冬季两类天气的气象要素特征,污染日逆温底高低、厚度小,不及清洁日的一半,不利于污染物的扩散,易出现重度污染天气.静风频率(20％)高于清洁日的静风频率(7.5％),风速小(1.6 m/s),污染日边界层内呈明显上千下湿的格局.(3)建立了夏季大气污染的天气概念模型,污染日副高偏弱位置偏东,长江流域易少雨干旱;地面我国东部大范围地区处于均压场中,武汉地区为偏东北异常小风,不利于大气污染物的扩散.(4)建立了秋冬季大气污染的天气概念模型,长江流域环流平直少波动,配合地面弱低压的天气形势和较强的逆温使得大气污染物聚集在近地面.蒙古冷高压强度偏弱,使得入侵我国的冷空气强度偏弱;武汉地区为偏北小风,对雾霾的移除和稀释扩散作用差.该研究结论可供大气污染预测预警研究和环境管理部门大气污染的联防联控参考.     

Conversion of waste plastics into value-added carbon materials

Plastic pollution is a major environmental issue worldwide, calling for advanced methods to recycle waste plastics in the context of the circular economy. Here we review methods and strategies to convert waste plastics into value-added carbon materials, with focus on sources, properties, pretreatment of waste plastics, and on preparation of carbon materials. Pretreatment techniques include mechanical crushing, plastic stabilization and electrospinning. Carbon materials such as carbon nanotubes, graphene, carbon nanosheets, carbon spheres and porous carbon are prepared by oxygen-limited carbonization, catalytic carbonization, the template-based method, and pressure carbonization. We emphasize the conversion of polyethene terephthalate, polyethylene, polypropylene, polystyrene, halogenated plastics, polyurethane and mixed plastics.

     

Lithium extraction from salt lake brines with high magnesium/lithium ratio: a review

Environmental Chemistry Letters - The demand for lithium is growing rapidly with the increase in electric vehicles, batteries and electronic equipments. Lithium can be extracted from brines, yet...     

AI-based runoff simulation based on remote sensing observations: A case study of two river basins in the United States and Canada

Data-driven techniques are used extensively for hydrologic time-series prediction. We created various data-driven models (DDMs) based on machine learning: long short-term memory (LSTM), support vector regression (SVR), extreme learning machines, and an artificial neural network with backpropagation, to define the optimal approach to predicting streamflow time series in the Carson River (California, USA) and Montmorency (Canada) catchments. The moderate resolution imaging spectroradiometer (MODIS) snow-coverage dataset was applied to improve the streamflow estimate. In addition to the DDMs, the conceptual snowmelt runoff model was applied to simulate and forecast daily streamflow. The four main predictor variables, namely snow-coverage (S-C), precipitation (P), maximum temperature (T_max), and minimum temperature (T_min), and their corresponding values for each river basin, were obtained from National Climatic Data Center and National Snow and Ice Data Center to develop the model. The most relevant predictor variable was chosen using the support vector machine-recursive feature elimination feature selection approach. The results show that incorporating the MODIS snow-coverage dataset improves the models' prediction accuracies in the snowmelt-dominated basin. SVR and LSTM exhibited the best performances (root mean square error = 8.63 and 9.80) using monthly and daily snowmelt time series, respectively. In summary, machine learning is a reliable method to forecast runoff as it can be employed in global climate forecasts that require high-volume data processing.     

内陆核设施废液零排放方式探讨

液态放射性流出物是核设施运行的必然产物,滨海核设施向大海进行稀释排放处置,内陆核设施缺少稀释载体,采用自然蒸发空气载带方式将液体流出物通过气态途径向大气稀释排放是可行的替代方案,可以实现液态流出物的零排放。自然蒸发空气载带排放方案描述了工艺原理,提出了空气流速、空气温度、环境相对湿度、废水温度等与蒸发强度的关系,给出了一套自然蒸发载带排放装置的概念设计,分析了液态流出物转为气态途径排放对环境的影响,论证了采用自然蒸发空气载带方式实现内陆核设施液态流出物零排放目标的可行性。     

欧盟化学物质法规管理选择分析对我国化学物质环境管理的启示

法规管理选择分析(RMOA)是欧盟对受关注的化学物质在法定管理方面开展的具体问题具体分析的策略,即"一品一策".其能够促使主管部门在决策化学物质的管控法规时尽快达成共识,并有力地支撑欧盟高关注物质路线图(SVHC Road-map)和一体化规管战略(IRS)的实施.RMOA是一项有效的法规管理与选择决策的程序,但我国对于RMOA的研究尚处于起步阶段.本研究介绍了RMOA这项决策的产生和发展,分析了该决策所取得的成果,阐明了其在欧盟化学物质管理中作用与意义.提出了适合中国化学物质法规管理选择分析的方法,以期对我国化学物质环境风险管理体系的建立健全提供参考.     

硫酸铜和马度米星铵联合暴露对鲫鱼的毒性和效应标记物研究

为探究硫酸铜和马度米星铵对水产动物的生态毒性,本研究以鲫鱼为模型,从急性毒性、亚急性毒性和遗传毒性3个方面研究硫酸铜和马度米星铵单一与联合暴露对鲫鱼的毒性效应.结果 表明,硫酸铜对鲫鱼96 h的半数致死浓度(50％ lethal concentration,LC50)为3.6 mg·L-1,硫酸铜和马度米星铵联合暴露时,硫酸铜对鲫鱼的96 h-LC50为1.4 mg· L-1,马度米星铵对鲫鱼的96 h-LC50为4.2 mg·L-1,硫酸铜对鲫鱼为高等毒性;硫酸铜和马度米星铵对鲫鱼的联合毒性表现为协同作用.染毒第7天,硫酸铜和马度米星铵均可影响过氧化氢酶(catalase,CAT)和谷胱甘肽过氧化物酶(glutathione peroxidase,GPx)的活性,随着剂量和染毒时间的增加,CAT和GPx的活性逐渐下降.硫酸铜和马度米星铵单一或联合暴露7d或21 d显著下调cat基因表达,对sod和gpx基因表达无显著影响.染毒后期,染毒组谷丙转氨酶(alanine aminotransferase,ALT)、谷草转氨酶(aspartate transaminase,AST)和碱性磷酸酶(alkaline phosphatase,ALP)活性及丙二醛(malondialdehyde,MDA)含量均高于对照组.硫酸铜和马度米星铵单一及联合染毒均能诱导鲫鱼红细胞产生微核,微核数与硫酸铜和马度米星铵的浓度呈正相关;随着硫酸铜和马度米星铵浓度的增加,肝细胞的脱氧核糖核酸(deoxyribonucleic acid,DNA)出现断裂,彗星尾部所占比例逐渐升高;高浓度联合染毒组红细胞微核率和肝细胞尾部DNA百分比显著高于单一染毒组.硫酸铜和马度米星铵联合暴露可导致鲫鱼血液毒性、肝细胞氧化损伤及遗传毒性的加和性,为评估Cu2+与马度米星铵复合污染对鲫鱼的生态毒性提供基础数据和理论依据.     

含氮生物降解促进剂对土壤吸附正十六烷的影响

选用正十六烷模拟润滑油,通过振荡平衡实验,考察了两种含氮脂肪酸型生物降解促进剂（甲基二乙醇胺油酸酯（MDEAO）和油酸二乙醇酰胺（ODEA））对水土体系中正十六烷吸附行为的影响。实验结果表明：正十六烷在水土体系中的有机质标化分配系数与土壤种类无关,与生物降解促进剂种类有关;土壤对正十六烷的吸附过程更符合Freundlich等温吸附模型;MDEAO的临界胶束浓度为2.0 mg/L,对土壤吸附正十六烷有一定的促进作用,ODEA的临界胶束浓度为0.7 mg/L,形成的胶束对正十六烷的增溶效果明显,促进了正十六烷在土壤中的解吸。     

气候变化主要因子对马铃薯生物量积累及产量和品质的影响

利用新型开顶式气室(OTC)开展CO_2浓度升高和大气增温试验,分别为模拟增温2.0℃,模拟增温2.0℃且CO_2浓度增加到650μmol·mol-1,对照CO_2浓度约410μmol·mol^-1,对马铃薯叶片、叶柄和茎等地上生物量、根和块茎等地下生物量积累过程及其特征参数的协同影响研究,分析气候变化对马铃薯产量形成和品质的影响,为半干旱区适应气候变化提供科学依据。结果表明,模拟增温2.0℃且CO_2浓度增加到650μmol·mol^-1,马铃薯茎和地上部生物量积累显著比对照高35.8%—53.4%;生物量较单独增温处理显著增加24.4%—34.4%。马铃薯茎和地上部生物量最大积累速度出现时间推后,最大积累速度加快,生物量快速积累间隔日数较单独增温处理和对照均延长。大气增温加CO_2浓度升高复合处理试验中,马铃薯块茎鲜质量积累在块茎膨大中期略低于单独增温处理外,在其余积累时段均高于单独增温处理以及对照。马铃薯成熟期块茎在复合处理下,鲜质量显著高于单独增温处理24.1%;高于对照3.4%。马铃薯块茎鲜质量最大积累速度出现时间也推后,快速积累期间隔日数较单独增温处理延长,但与对照接近。增温与CO_2复合处理使马铃薯叶片净光合速率提高,水分利用效率提高,干物重积累增多,经济产量增加。