2013-2017年京津冀区域PM2.5浓度变化特征

利用2013-2017年京津冀区域13个城市PM_2.5监测数据,综合探讨了该区域PM_2.5浓度的时空变化特征。结果表明：京津冀区域PM_2.5污染整体较重,但治理成效显著,2013-2017年区域PM_2.5年均质量浓度分别为106、93、77、71、64 μg/m³,完成《大气污染防治行动计划》PM_2.5浓度下降25%左右的目标;13个城市PM_2.5浓度各百分位数总体呈现下降趋势,且随百分位数增大而下降速率加大,PM_2.5年均质量浓度平均每年下降10.6 μg/m³,污染严重的太行山沿线城市邢台、石家庄、邯郸3个城市平均每年分别下降20.3、16.1、13.9 μg/m³;京津冀区域PM_2.5重度污染天数比例分别为19.9%、16.6%、9.5%、9.0%、7.0%,呈下降趋势。2013-2017年京津冀区域PM_2.5平均质量浓度与非重度污染天相比升高19 μg/m³,PM_2.5重度污染天平均质量浓度较非重度污染天时高244.4%。     

硅藻土地区桥梁灌注桩成孔测试研究∗

硅藻土作为一种特殊的黏性土,在分布上具有一定的区域性,目前针对该类型土的工程特性以及硅藻土地区灌注桩成孔方法的研究都较少。以杭绍台高铁项目为工程依托,为了研究硅藻土层中灌注桩的成孔方法,开展了灌注桩成孔方法现场试验;分别采用冲击锤锤击成孔、旋挖干钻成孔和旋挖泥浆护壁成孔三种方法进行施工,对三种方法的成孔质量进行分析对比。研究结果表明:在硅藻土地区施工灌注桩,旋挖干钻成孔工艺施工速度较快,效率高,桩长、桩径、桩位偏差和垂直度均能满足设计要求,成孔后孔壁稳定性好,成孔质量更为可靠;冲击锤法成孔,成孔速度较慢,且存在桩孔扩径现象;旋挖泥浆护壁法成孔后平稳性较差,波动性较大,且存在局部塌孔现象,成孔效果较差。因此建议硅藻土地段优先考虑采用旋挖干钻法施工桥梁灌注桩。     

双负载双金属催化剂催化有机卤化物水相脱卤研究

通过把起相转移作用的聚乙二醇链固载在硅胶上（SiO2-PEG600）,再将聚乙稀吡咯烷酮（PVP）络合双金属Pd-Cu(PVP-PdCl2-CuCl2)后负载其中,制成一种新型双负载双金属水相脱卤催化剂PVP－PdCl2-CuCl2/SiO2-PEG600。以甲酸钠为氢转移试制,在水相中催化有机卤化物脱卤,研究结果表明：反应温度为800℃,Pd∶Cu=2∶1（摩尔比）,反应介质pH≈11.7左右时,该催化剂对芳香氯化物及α－氯代酮、酯具有良好的催化脱氯和重复使用性能。     

溶解氧及活性污泥浓度对同步硝化反硝化的影响

文章研究溶解氧及活性污泥浓度对同步硝化反硝化效率的影响。研究结果表明：在一定DO范围内,随着反应器内溶解氧浓度的降低,总氮去除率呈上升趋势,即好氧反硝化效率随溶解氧浓度的降低而提高;在一定MLSS范围内,反应器内混合液污泥浓度越高,出水总氮越低,反硝化现象越明显。     

预测有机化合物对水蚤EC50值的片段常数法

根据217种化合物建立了估算有机化合物对水蚤EC50值（48h半数影响浓度）的片段常数模型,分析了模型的误差及稳健性。研究结果表明,有机化合物的片段常数和结构因子与水蚤的EC50值倒数的对数（lg1/EC50)显著相关,可以根据片段常数法估算有机化合物对水蚤的EC50。模型的可决系数为0.9687,平均绝对误差0.40个对数单位,其中68.7%化合物的误差小于0.5个对数单位。     

Biocompatible self-healing hydrogels based on boronic acid-functionalized polymer and laponite nanocomposite for water pollutant removal

Environmental Chemistry Letters - Global water pollution by organic dyes and metals may be solved by adsorption. In particular, hydrogel adsorbents display unique...     

双酚A促进粪肠球菌中信息素调控质粒pCF10介导的耐药基因接合转移

粪肠球菌是一种在自然水体中广泛存在的革兰氏阳性细菌。信息素调控质粒介导的接合转移是造成粪肠球菌耐药基因快速扩散的重要方式。双酚A是一种内分泌干扰物,因其在工业中大量应用造成其在水环境中的广泛分布。本文以信息素调控质粒中比较有代表性的pCF10质粒作为研究对象,研究了双酚A对粪肠球菌中耐药基因接合转移的影响,证实了双酚A可以促进pCF10质粒介导的耐药基因接合转移,且这一结果同双酚A作用浓度和作用时间相关。双酚A影响耐药基因的扩散,是通过促进编码正调控信息素的ccfA基因表达实现的。本文旨在深入理解双酚A影响抗生素抗性基因扩散的环境行为,为耐药基因控制及双酚A环境效应的评估提供理论支持。     

Effect of acute whole-body proton irradiation on hematological and intestinal variables in mice

Female C57BL/6 mice were exposed to a single dose of protons or ⁶⁰Co gamma rays at 20 mGy and 2 Gy, which represent the recommended limit for annual occupational exposure and the daily fractional dose for patients undergoing radiotherapy, respectively. A control group was not exposed to radiation. The number of peripheral blood, bone marrow, and spleen cells was assessed 24 h after radiation to investigate the marrow suppression. The number of lymphocytes and neutrophils in peripheral blood was significantly lower in mice exposed to the higher dose of radiation than in the nonirradiated mice. However, at a low dose of radiation, there were no discernable hematological effects. The frequency of micronuclei in bone marrow cells was increased only after the high dose of gamma radiation. Radiation-induced intestinal apoptosis was measured using terminal deoxynucleotide transferase labeling assay. The magnitude of damage was greater after gamma irradiation than after proton irradiation at the same dose. Among the systemic biological end point to predict whole body radiation effect, the apoptosis of intestinal crypts may be the most sensitive parameter to provide information even at low dose of radiation.     

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.