Mechanism and characterization of microplastic aging process: A review

● Methods for estimating the aging of environmental micro-plastics were highlighted. ● Aging pathways & characterization methods of microplastics were related and reviewed. ● Possible approaches to reduce the contamination of microplastics were proposed. ● The prospect and deficiency of degradable plastics were analyzed. With the increasing production of petroleum-based plastics, the problem of environmental pollution caused by plastics has aroused widespread concern. Microplastics, which are formed by the fragmentation of macro plastics, are bio-accumulate easily due to their small size and slow degradation under natural conditions. The aging of plastics is an inevitable process for their degradation and enhancement of adsorption performance toward pollutants due to a series of changes in their physiochemical properties, which significantly increase the toxicity and harm of plastics. Therefore, studies should focus on the aging process of microplastics through reasonable characterization methods to promote the aging process and prevent white pollution. This review summarizes the latest progress in natural aging process and characterization methods to determine the natural aging mechanism of microplastics. In addition, recent advances in the artificial aging of microplastic pollutants are reviewed. The degradation status and by-products of biodegradable plastics in the natural environment and whether they can truly solve the plastic pollution problem have been discussed. Findings from the literature pointed out that the aging process of microplastics lacks professional and exclusive characterization methods, which include qualitative and quantitative analyses. To lessen the toxicity of microplastics in the environment, future research directions have been suggested based on existing problems in the current research. This review could provide a systematic reference for in-depth exploration of the aging mechanism and behavior of microplastics in natural and artificial systems.     

桂林中小河流洪涝气象风险预警系统设计

基于自动站、数值预报和雷达估测降水等多种雨量资料,利用ArcGIS技术提取河流的经纬度、流域范围,利用泰森多边形技术计算流域面雨量,结合对桂林中小河流域的历史暴雨洪涝风险个例分析结果,确定临界面雨量,建立桂林中小河流域洪涝灾害风险等级预警系统。利用数学内插技术进行雨量精细化插值,实现全市100多个水库、200多条河流关键点的雨量监测、预报、预警。利用Web和GIS技术实现桂林中小河流洪涝预警网页发布。     

液位系统的辅助变量复合建模方法研究

针对发电过程控制策略设计和计量方法研究过程中,对系统模型要求越来越高的现状,基于辅助变量最小二乘(RIVLS)辨识方法,提出一种分别以一阶惯性加纯滞后模型(FOPDT)和二阶惯性加纯滞后模型(SOPDT)为基本组成部分,以建模误差的均方差为加权因子的复合建模方法,并通过实验室液位系统建模仿真过程,证明新算法的有效性。仿真结果表明:该方法具有提高建模准确性的作用,该建模方法可以扩展应用于其它对模型精度要求较高的生产过程中。     

催化氧化技术治理苯化工装置和罐区含氮挥发性有机物废气

采用催化氧化技术对某石化企业苯胺、硝基苯等生产装置和罐区的含氮挥发性有机物(NVOCs)废气进行集中处理,建成了一套20 000 Nm~3/h规模的安全高效处理装置。采用自主研发的WSH-2N型蜂窝状Pt-Pd-Ce催化剂,在高效氧化有机物的同时,高选择性地将有机氮转化为N_2。运行结果表明,净化气非甲烷总烃质量浓度低于15 mg/m~3,非甲烷总烃去除率大于99%,NO_x质量浓度低于10 mg/m~3,苯、苯胺、硝基苯、环己烷等特征有机污染物浓度均低于检出限,各项指标优于国内外现有技术。     

滇池水生植物分布对沉积物间隙水中不同形态氮的影响

为揭示水生植物分布对滇池沉积物间隙水中各形态氮质量浓度的影响,于2015年6月在滇池分别采集有植物区域和无植物区域的沉积物柱状样,检测间隙水及上覆水中DTN(溶解性总氮)、NH₄+-N、NO₃--N和DON(溶解性有机氮)的质量浓度,分析其垂向变化特征以及水生植物对间隙水中各形态氮的释放控制效果. 结果表明:①水生植物改变了柱状沉积物间隙水中不同形态氮的分布规律,并且这种改变随湖区不同而表现不尽一致;②水生植物显著降低了沉积物间隙水中DON的贡献率,有植物分布区域ρ(DON)对ρ(DTN)的平均贡献率为41.05%,无植物区域可达58.48%;③水生植物显著抑制了沉积物中无机氮的释放,促进了DON的转化,同一采样点有植物区域NH₄+-N和NO₃--N的沉积物-水界面扩散通量分别比无植物区域平均降低了87.52%和91.99%;④水生植物生长显著削减了沉积物间隙水中氮的质量浓度,其中ρ(DON)的削减率达到了53.27%~80.42%. 研究显示,水生植物根系作为微生物和多种活性酶的主要载体,为沉积物有机氮的矿化降解起到了促进作用.      

厦门春季气溶胶特征初探

1993年春季对厦门市大气气溶胶进行了研究,其中包括对3种不同粒径的气溶胶质量浓度?气溶胶元素浓度?气溶胶离子浓度?气溶胶酸度和酸化缓冲能力的研究?结果表明:厦门大气气溶胶质量浓度接近于国家一级标准,细粒子的气溶胶的贡献较高;气溶胶中元素含量较高的为Ca,Al,Fe和S等;在厦门地区气溶胶中NH+₄和SO2-₄主要分布在细粒子中,Ca2+和Mg2+则多分布在粗粒子中,并且其值远小于华南地区;气溶胶中细粒子的酸性大于粗粒子,且酸化缓冲能力远低于粗粒子。      

Evaluation of the RAMS continuous monitor for determination of PM2.5 mass including semi-volatile material in Philadelphia,PA

The real-time ambient mass sampler (RAMS) is a continuous monitor based on particle concentrator, denuder, drier, and tapered element oscillating microbalance (TEOM) monitor technology. It is designed to measure PM2.5 mass, including the semi-volatile species NH4NO3 and semi-volatile organic material, but not to measure PM2.5 water content. The performance of the RAMS in an urban environment with high humidity was evaluated during the July 1999 NARSTO-Northeast Oxidant and Particles Study (NEOPS) intensive study at the Baxter water treatment plant in Philadelphia, PA. The results obtained with the RAMS were compared to mass measurements made with a TEOM monitor and to constructed mass obtained with a Particle Concentrator-Brigham Young University Organic Sampling System (PC-BOSS) sampler designed to determine the chemical composition of fine particles, including the semi-volatile species. An average of 28% of the fine particulate material present during the study was semi-volatile organic material lost from a filter during particle collection, and 1% was NH4NO3 that was also lost from the particles during sampling. The remaining mass was dominantly nonvolatile (NH4)2SO4 (31%) and organic material (37%), with minor amounts of soot, crustal material, and nonvolatile NH4NO3. Comparison of the RAMS and PC-BOSS results indicated that the RAMS correctly monitored for fine particulate mass, including the semivolatile material. In contrast, the heated filter of the TEOM monitor did not measure the semi-volatile material. The comparison of the RAMS and PC-BOSS data had a precision of +/-4.1 microg/m3 (+/-9.6%). The precision of the RAMS data was limited by the uncertainty in the blank correction for the reversible adsorption of water by the charcoal-impregnated cellulose sorbent filter of the RAMS monitor. The precision of the measurement of fine particulate components by the PC-BOSS was +/-6-8%.     

废弃酸碱精制实现变压器油清洁生产

利用糠醛精制代替酸碱精制实现变压器油清洁生产，每年减少废渣排放5454t，减少加工损失5454t，取得了良好的环保效益和经济效益。     

Evaluation of the RAMS Continuous Monitor for Determination of PM2.5 Mass Including Semi-Volatile Material in Philadelphia,PA

Abstract

The real-time ambient mass sampler (RAMS) is a continuous monitor based on particle concentrator, denuder, drier, and tapered element oscillating microbalance (TEOM) monitor technology. It is designed to measure PM_2.5 mass, including the semi-volatile species NH₄NO₃ and semi-volatile organic material, but not to measure PM_2.5 water content. The performance of the RAMS in an urban environment with high humidity was evaluated during the July 1999 NARSTO-Northeast Oxidant and Particles Study (NEOPS) intensive study at the Baxter water treatment plant in Philadelphia, PA. The results obtained with the RAMS were compared to mass measurements made with a TEOM monitor and to constructed mass obtained with a Particle Concentrator-Brigham Young University Organic Sampling System (PC-BOSS) sampler designed to determine the chemical composition of fine particles, including the semi-volatile species. An average of 28% of the fine particulate material present during the study was semi-volatile organic material lost from a filter during particle collection, and 1% was NH₄NO₃ that was also lost from the particles during sampling. The remaining mass was dominantly nonvolatile (NH₄)₂SO₄ (31%) and organic material (37%), with minor amounts of soot, crustal material, and nonvolatile NH₄NO₃. Comparison of the RAMS and PC-BOSS results indicated that the RAMS correctly monitored for fine particulate mass, including the semi-volatile material. In contrast, the heated filter of the TEOM monitor did not measure the semi-volatile material. The comparison of the RAMS and PC-BOSS data had a precision of ±4.1 μg/m³ (±9.6%). The precision of the RAMS data was limited by the uncertainty in the blank correction for the reversible adsorption of water by the charcoal-impregnated cellulose sorbent filter of the RAMS monitor. The precision of the measurement of fine par-ticulate components by the PC-BOSS was ±6-8%.     

Ti-SnO_2电解快速去除熄焦循环水中COD

以Ti-SnO2电极作为阴阳极,利用电解池对焦化厂熄焦循环水COD进行去除。极板间距为1 cm,6个极片组成电解池,处理熄焦循环水。实验结果表明:废水被稀释1倍时,污染物的浓度有利于COD的去除;最佳去除条件是电解电压为11 V,p H值为6;当电解时间为0.5 h时,废水的COD由230 mg/L降低到138 mg/L,满足《炼焦化学工业污染物排放标准》中规定的焦化生产废水经处理后用于熄焦时对COD的要求;电解时间增加到2 h,废水的COD由230 mg/L降低到66 mg/L,去除率达到80%。