临界区甲醇的聚碳酸酯降解研究

在间歇高压反应器中研究了聚碳酸酯在甲醇临界区域的降解行为 .降解无需借助催化剂 ,降解温度 2 2 0— 2 6 0℃ ,压力5 2 0— 8 6 7MPa ,时间 5— 4 5min ,通过GC MS与GC FID对液相产物进行了定性和定量分析 ,聚碳酸酯醇解主要产物为碳酸二甲酯 (DMC)和双酚A(BPA) .降解温度和时间为 2 4 0℃和 30min时 ,DMC和BPA的产率分别 91 75 %和 90 0 3% .通过凝胶渗透色谱 (GPC)对 2 4 0℃醇解反应的固相聚合物进行了分析 .降解初期 ,聚合物大分子发生断裂 ,PC的数均分子量 (Mn)迅速下降 ,仅有少量DMC和BPA生成 ;降解的中间阶段 ,低聚物在降解产物中的比例快速增加 ,同时DMC与BPA相应增多 ,最终PC被完全分解 .     

高锰酸钾净水的氧化副产物研究

在高锰酸钾预氧化条件下 ,对北京京密引水渠水和松花江水进行混凝处理 ,并将原水与出水水样经色谱 质谱联用仪分析 ,以 1997年美国国家环保局 (USEPA)提出的饮用水规程和健康建议为标准 ,初步探讨了高锰酸钾净水过程中产生的副产物是否对人体有毒害作用 .试验结果表明 :在试验条件下 ,尚未发现高锰酸钾氧化生成USEPA规定的有毒有害副产物 ,并认为其原因可能与高锰酸钾氧化作用方式以及氧化过程中生成的新生态水合二氧化锰的吸附作用有关 .     

蠕虫在膜生物反应器和活性污泥法中的污泥减量研究

通过长达345d的中试规模试验,研究比较了蠕虫在膜生物反应器(MBR)和活性污泥法(CAS)的生长状况及其导致的污泥减量效果.CAS中的蠕虫生长状况明显优于MBR的蠕虫生长状况.MBR曝气池中平均蠕虫密度(10条·mg-1)远低于CAS曝气池中平均蠕虫密度(71条·mg-1),并且CAS中蠕虫连续保持高密度(>30条·mg-1)生长达172d.CAS中红斑瓢体虫和仙女虫交替成为优势蠕虫.蠕虫生长对MBR的污泥产率(0 40kg·kg-1)和污泥沉降性能(污泥沉降指数133mL·g-1)影响很小,但却能显著减少CAS的污泥产率(0 17kg·kg-1)和改善污泥沉降性能(污泥沉降指数为60mL·g-1).仙女虫比红斑瓢体虫能更大地减少污泥产量和更好地改善污泥沉降性能.蠕虫生长不影响MBR的COD去除率和出水水质,但却显著影响CAS的COD去除率和出水水质.     

低渗透石化污染场地多相抽提修复效率的数值模拟

借助TOUGH3/TMVOC软件对华北地区某典型污染场地进行模型概化,模拟再现了挥发性有机化合物(VOCs)在层状低渗透性介质中的运移和分布特征;同时,设置了不同情景的多相抽提方案,分析了渗透率对多相抽提技术(MPE)去除效率的影响.结果表明,VOCs在该介质中主要以非水相液体(NAPL)相形式存在,且NAPL相饱和度...     

Coupled electrochemical methods for nitrogen and phosphorus recovery from wastewater: a review

Environmental Chemistry Letters - Declining mineral resources, high fertilizer production cost and widespread eutrophication are calling for the recovery of nitrogen and phosphorus from wastewaters...     

Discovery of emerging organic pollutants in the atmosphere through an omics approach

● We review the framework of discovering emerging pollutants through an omics approach. ● High-resolution MS can digitalize atmospheric samples to full-component data. ● Chemical features and databases can help to translate untargeted data to compounds. ● Biological effect-directed untargeted analyses consider both existence and toxicity. Ambient air pollution, containing numerous known and hitherto unknown compounds, is a major risk factor for public health. The discovery of harmful components is the prerequisite for pollution control; however, this raises a great challenge on recognizing previously unknown species. Here we systematically review the analytical techniques on air pollution in the framework of an omics approach, with a brief introduction on sample preparation and analysis, and in more detail, compounds prioritization and identification. Through high-resolution mass spectrometry (HRMS, typically coupled with chromatography), the complicated environmental matrix can be digitalized into “full-component” data. A key step to discover emerging compounds is the prioritization of compounds from massive data. Chemical fingerprints, suspect lists and biological effects are the most vital untargeted strategies for comprehensively screening critical and hazardous substances. Afterward, compressed data of compounds can be identified at various confidence levels according to exact mass and the derived molecular formula, MS libraries, and authentic standards. Such an omics approach on full-component data provides a paradigm for discovering emerging air pollutants; nonetheless, new technological advancements of instruments and databases are warranted for further tracking the environmental behaviors, hence to evaluate the health risk of key pollutants.     

A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification

● Established a quantification method of pollutant emission standard. ● Predicted the SO₂ emission intensity of single coking enterprises in China. ● Evaluated the influence of pollutant discharge standard on prediction accuracy. ● Analyzed the SO₂ emissions of Chinese provincial and municipal coking enterprises. Industrial emissions are the main source of atmospheric pollutants in China. Accurate and reasonable prediction of the emission of atmospheric pollutants from single enterprise can determine the exact source of atmospheric pollutants and control atmospheric pollution precisely. Based on China’s coking enterprises in 2020, we proposed a quantitative method for pollutant emission standards and introduced the quantification results of pollutant emission standards (QRPES) into the construction of support vector regression (SVR) and random forest regression (RFR) prediction methods for SO₂ emission of coking enterprises in China. The results show that, affected by the types of coke ovens and regions, China’s current coking enterprises have implemented a total of 21 emission standards, with marked differences. After adding QRPES, it was found that the root mean squared error (RMSE) of SVR and RFR decreased from 0.055 kt/a and 0.059 kt/a to 0.045 kt/a and 0.039 kt/a, and theR² increased from 0.890 and 0.881 to 0.926 and 0.945, respectively. This shows that the QRPES can greatly improve the prediction accuracy, and the SO₂ emissions of each enterprise are highly correlated with the strictness of standards. The predicted result shows that 45% of SO₂ emissions from Chinese coking enterprises are concentrated in Shanxi, Shaanxi and Hebei provinces in central China. The method created in this paper fills in the blank of forecasting method of air pollutant emission intensity of single enterprise and is of great help to the accurate control of air pollutants.     

邯郸市妇女空气污染暴露对妊娠期高血压的影响

选择河北省邯郸市某医院孕妇数据,探讨了6项空气污染物暴露对孕妇患妊娠期高血压(GH)的影响和不同人群的效应差异,采用传统Logistic回归模型评估了各项污染物的效应,采用主成分改进的Logistic回归模型评估了各项污染物在额外调整其它污染物后的效应.结果显示,单污染物模型中,妊娠期前26周每20μg/m3增量的O3...     

EBPR中两类细菌PAOs和GAOs竞争的研究进展

强化生物除磷(EBPR)工艺可以获取高效的除磷效果,已在很多污水处理厂得到广泛应用。但是大型污水处理厂在相当多的条件下,EBPR工艺也会出现周期性除磷效果的波动和不充分。针对这一难题,研究者试图采用许多手段来研究工艺中的主要微生物。文章针对典型的EBPR工艺和碳源、pH值、温度等因素对EBPR工艺中两类细菌聚磷菌(PAOs)和聚糖菌(GAOs)竞争的研究进展进行了论述,并展望了未来的研究方向。     

上海沿海六区县自然灾害脆弱性评价

沿海城市在全球发展中具有重要的战略地位,然而特殊的地理位置和高度集中的人口及财富也决定了其面临灾害时具有较高的脆弱性,即同等灾害强度下,沿海城市遭遇自然灾害时的人口伤亡更多,经济损失更大。从灾害系统承灾体的角度,分析了影响灾害脆弱性的五个方面,顺应脆弱性评价定量化的趋势,依据一定的原则,不分灾种,面对区域和人群,选取代表性指标尝试构建了沿海城市自然灾害脆弱性的指标评价体系,利用AHP法对该区域相应指标的权重进行了确定,建立了脆弱性模型,并在收集和标准化数据的基础上,对上海沿海六区县进行了脆弱性评价,并对各个地区的区域脆弱性、人群脆弱性和整体脆弱性进行对比分析,为灾害管理提供理论依据。同时,通过评价结论,总结了沿海城市的自然灾害脆弱性特点,并为上海市降低脆弱性、减轻自然灾害影响提供对策建议。