菌株NKS-3对溴氨酸脱色特性探讨

从受溴氨酸污染地筛选出菌株ＮＫＳ－ ３ ,它对溴氨酸有脱色作用。菌株生长随碳源浓度增加而旺盛,溴氨酸能刺激菌株生长。溴氨酸浓度即使达到１０００ ｍｇ／Ｌ 也能被菌株基本脱色。研究发现,盐度抑制菌生长,在含盐培养液中溴氨酸的脱色过程被抑制     

混合堆肥过程中挥发性固体含量的层次效应及动态变化

城市污泥与猪粪混合堆肥表明:升温期和高温期堆体上部有机物降解的差异较大,降温期堆体下部各层有机物降解的差异较大,且堆体内挥发性固体(VS)含量已形成明显的层次效应,腐熟期堆体中部有机物降解的差异较大,堆体内VS含量的层次效应仍很明显;不同堆肥期堆体内VS含量的差异由大到小分别为:降温期≥腐熟期>高温期>升温期,不同部位有机物降解程度由大到小为:上部>中部>下部;VS含量随时间的变化满足一级反应动力学方程,城市污泥和猪粪混合堆肥过程中VS的降解速率约为0.3kg·d^-1,VS含量降低了8.2%.     

非线性回归法计算曝气设备清水氧传递系数

分析对比作图法、线性回归法和非线性回归法计算曝气设备清水氧传递系数(KLa)各自的优缺点。指出在实际测定曝气设备性能中,使用非线性回归法计算KLa更加可靠．而且可以使测试过程更加容易控制。所以在实际测试过程中,推荐使用非线性回归法计算KLa。     

Insights into the electron transfer mechanisms of permanganate activation by carbon nanotube membrane for enhanced micropollutants degradation

● A CNT filter enabled effective KMnO₄ activation via facilitated electron transfer. ● Ultra-fast degradation of micropollutants were achieved in KMnO₄/CNT system. ● CNT mediated electron transfer process from electron-rich molecules to KMnO₄. ● Electron transfer dominated organic degradation. Numerous reagents have been proposed as electron sacrificers to induce the decomposition of permanganate (KMnO₄) by producing highly reactive Mn species for micropollutants degradation. However, this strategy can lead to low KMnO₄ utilization efficiency due to limitations associated with poor mass transport and high energy consumption. In the present study, we rationally designed a catalytic carbon nanotube (CNT) membrane for KMnO₄ activation toward enhanced degradation of micropollutants. The proposed flow-through system outperformed conventional batch reactor owing to the improved mass transfer via convection. Under optimal conditionals, a > 70% removal (equivalent to an oxidation flux of 2.43 mmol/(h·m²)) of 80 μmol/L sulfamethoxazole (SMX) solution can be achieved at single-pass mode. The experimental analysis and DFT studies verified that CNT could mediate direct electron transfer from organic molecules to KMnO₄, resulting in a high utilization efficiency of KMnO₄. Furthermore, the KMnO₄/CNT system had outstanding reusability and CNT could maintain a long-lasting reactivity, which served as a green strategy for the remediation of micropollutants in a sustainable manner. This study provides new insights into the electron transfer mechanisms and unveils the advantages of effective KMnO₄ utilization in the KMnO₄/CNT system for environmental remediation.     

Influence of H2S and NH3 on biogas dry reforming using Ni catalyst: a study on single and synergetic effect

● NH₃ in biogas had a slight inhibitory effect on dry reforming. ● Coexistence of H₂S and NH₃ led to faster decline of biogas conversion. ● Regeneration was effective for catalysts deactivated under synergetic effect. Biogas is a renewable biomass energy source mainly composed of CH₄ and CO₂. Dry reforming is a promising technology for the high-value utilization of biogas. Some impurity gases in biogas can not be completely removed after pretreatment, which may affect the performance of dry reforming. In this study, the influence of typical impurities H₂S and NH₃ on dry reforming was studied using Ni/MgO catalyst. The results showed that low concentration of H₂S in biogas could cause serious deactivation of catalyst. Characterization results including EDS, XPS and TOF-SIMS confirmed the adsorption of sulfur on the catalyst surface, which was the cause of catalyst poisoning. We used air calcination method to regenerate the sulfur-poisoned catalysts and found that the regeneration temperature higher than 500 °C could help catalyst recover the original activity. NH₃ in the concentration range of 50–10000 ppm showed a slight inhibitory effect on biogas dry reforming. The decline rate of biogas conversion efficiency increased with the increase of NH₃ concentration. This was related to the reduction of oxygen activity on catalyst surface caused by NH₃. The synergetic effect of H₂S and NH₃ in biogas was investigated. The results showed that biogas conversion decreased faster under the coexistence of H₂S and NH₃ than under the effect of H₂S alone, so as the surface oxygen activity of catalyst. Air calcination regeneration could also recover the activity of the deactivated catalyst under the synergetic effect of H₂S and NH₃.     

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.     

鲤鱼对2,6-二硝基甲苯的生物浓缩、消除与代谢研究

 以鲤鱼为实验生物，应用流动式摄取及释放装置，进行了2，6－二硝基甲苯（2，6－DNT）的生物浓缩与释放研究。取得了2，6－DNT在鲤鱼（全鱼）、肝及肠部的生物浓缩曲线。全鱼的浓缩曲线可以稳态（平台式）曲线描述，但是肝、肠部浓缩曲线均呈峰形。肝部峰快速下降后渐趋稳态，肠部峰下降未得稳态。峰形，肝在先，肠在后。对比2，6－DNT在全鱼及肝、肠的生物浓缩曲线，并参照报道_（1，2）指出，全鱼摄取曲线上各点所表现的浓度值为各时刻鱼体内各组织摄取化学品总重对全鱼重量的比值。肝、肠部峰形曲线预示了在肝、肠内生物浓缩过程发生了生物转化作用。对全鱼的生物浓缩过程应用单区一级动力学模型，求得BCF值与消除速率常数K₁与K₂，由K₁/K₂计算得到的BCF值与实测值相符。释放较慢，释放曲线呈双曲线形，半减期为4.8h。     

长三角地区二次电池生产场地土壤重金属污染评价

采用X射线荧光光谱法测定土壤重金属Cd,Cu,Ni,Mn,Co的含量,并选用地积累指数法和潜在生态危害指数法对其进行环境质量评价。结果表明,Cd是各场地中产生污染最为严重的一种金属,几乎各个车间都存在不同程度的Cd污染,外围农田土壤严重的Cd含量超标也说明了这个问题。     

京津冀地区大气主要污染物虚拟治理成本分摊研究

京津冀地区空气质量跨区域补偿机制欠缺,已成为制约该区域大气污染联防联控的短板.基于投入产出模型,核算了 2017年生产者负责原则与消费者负责原则下京津冀地区大气污染虚拟治理成本,分析了空气质量补偿主体及资金规模.结果发现,京津冀地区污染物排放具有较强的区域关联关系,说明治理大气污染不只要关注本地减排,还要加强不同地区间...     

汽车环境风洞降雨模拟影响因素研究

目的 研究自然界降雨量与汽车环境风洞模拟降雨量之间的关系,得到中国气象条件的雨量设定经验公式,为汽车环境风洞模拟降雨量的设定提供理论依据。方法 理论分析自然界气象降雨和汽车环境风洞模拟降雨的特点和差异,研究影响汽车环境风洞模拟降雨量的因素。结果 在无风条件下,影响汽车环境风洞降雨量的因素有气象降雨量、前挡风玻璃倾角、雨滴直径和车速等。按照车速将降雨分为汽车停止和汽车行驶2种模式,提出结合中国气象条件的汽车环境风洞模拟降雨量的经验公式。结论 在相同降雨等级下,汽车停止状态下的汽车环境风洞降雨量一般大于车辆行驶状态。在气象降雨量等级为短时中雨时,行驶汽车的雨量设定值与车速呈指数增长关系。