大气污染物对流垂直输送作用的探讨

利用一个欧拉型硫沉降模式探讨了积云对硫污染物的对流垂直输送作用．结果表明,积云引起的垂直气流是造成大气污染物浓度分布及输送通量变化的重要因素．对流垂直输送可使硫污染物在高层出现大浓度区,浓度的增加率为５０％—４００％,中层和低层的浓度相应也有所变化．积云区内南北剖面上的通量也因对流输送作用在高层出现了大值中心．     

小清河沿岸地下水中有机污染物优先排序的研究

提出了对区域性有机污染物优先排序和风险分类的定量评价方法———密切值法。该方法以反映污染物的毒性、暴露水平和化学性质的6项参数为指标,对小清河沿岸地下水中的有机污染物进行了优先排序和风险分类。      

对"有毒重金属"实施2种总量控制监管方式的利害分析

首先,必须明确认定：对第一类污染物实施《源头总量控制》是污控执法和促进经济结构改革的保证条件.这种监管方式自2008年《第一次全国污染源普查工业污染源产排污系数手册》公布以来,更具有其切实实施的可行性.《源头总量控制》与《水环境总量控制》两种监管方式既是各自独立、缺一不可,又是相互依赖和相互补充的关系,目前一些地方的规划管理者模糊和混淆了两类污染物和两种监管的内容和方式,笼统以《水环境总量控制》来监管所有污染物,丢弃了《源头总量控制》,使本应严加管理的饮用水水源地丧失了控制第一类污染物的能力.我国《地面水环境质量标准》（GB 3838-88）中第一类污染物的水质指标与我国实际的水环境背景值有很大差距,存在着＂放宽允排量＂和＂价态转化引发危害＂的问题;以一个10 t电解铅的企业为例,证明两种监管方式的铅允排量相差甚大.总之,把第一类污染物与第二类污染物统一实施《水环境容量总量控制》将带来众多的危害,应当严格实施《源头总量控制》与《水环境总量控制》相结合的监管方式.     

饮用水中有机污染物分子的VRML模型

用半经验量子化学计算MNDO-PM3方法,计算了腐殖酸(HA)和3-氯-4-(二氯甲基)-5一羟基-2(5H)-呋喃酮(MX)的几何构型、电子结构等．用MolSurf软件建立了HA和MX的VRML(虚拟现实造型语言)模型．     

Ozone measurements along vertical transects in the Alps

To investigate the vertical profiles of air pollutants in the boundary layer, aircraft and balloon-born measurements and measurements using a cable car as an instrument platform have been performed in different parts of the Alps. This on-line monitoring of atmospheric pollutants requires expensive and sophisticated techniques. In order to control ambient air quality in remote regions, where no infrastructure like power supply is available, simple instruments are required. The objective of this study, which was coordinated and evaluated by the GSF-Forschungszentrum für Umwelt und Gesundheit was first, to investigate the vertical distribution of ozone in different parts of the Alps and secondly, in addition to continuous analyser measurements, to test monitoring by means of two types of passive samplers. The selection of these samplers — one for one week use and another one for two week application — was based on a passive sampler intercomparison done in a preliminary study one year earlier.     

China’s carbon neutrality: an extensive and profound systemic reform

● China has pledged ambitious carbon peak and neutrality goals for mitigating global climate change. ● Major challenges to achieve carbon neutrality in China are summarized. ● The new opportunities along the pathway of China’s carbon neutrality are discussed from four aspects. ● Five policy suggestions for China are provided. China is the largest developing economy and carbon dioxide emitter in the world, the carbon neutrality goal of which will have a profound influence on the mitigation pathway of global climate change. The transition towards a carbon-neutral society is integrated into the construction of ecological civilization in China, and brings profound implications for China’s socioeconomic development. Here, we not only summarize the major challenges in achieving carbon neutrality in China, but also identify the four potential new opportunities: namely, the acceleration of technology innovations, narrowing regional disparity by reshaping the value of resources, transforming the industrial structure, and co-benefits of pollution and carbon mitigation. Finally, we provide five policy suggestions and highlight the importance of balancing economic growth and carbon mitigation, and the joint efforts among the government, the enterprises, and the residents.     

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.     

腐植质与有机污染物作用研究进展

综述了腐殖质的结构特性、与有机污染物的结合性质以及腐殖质对有机污染物毒性和生物可利用率的影响。已有的研究表明:腐殖质与有机污染物的结合能力受到下列因素的影响———腐殖质的结构、腐殖质的分子量和浓度、有机物的结构、水环境条件以及光化学降解作用等;腐殖质的存在通常降低了有机污染物的毒性,但在少数情况下例外,其推测性的机理还有待于实验进一步验证;有机污染物的生物可利用率不仅与腐殖质的浓度和组成有关,还受水体PH值的影响。本文同时对腐殖质的结构和多样性的研究、腐殖质对极性有机污染物的迁移、毒性和生物可利用率的研究、腐殖质增强某些有机物毒性的机理的研究进行了展望。     

Experimental study on pollutant movement in surf zone

The experiments on pollutant movement in surf zone were conducted on the two gentle beaches(with slope of 1:100 and 1:40, respectively), for diverse wave cases. The movement contours and direction of pollutants, under the action of regular and random waves with diverse wave amplitudes, were provided and studied in this paper. It was shown that, due to complicated hydrodynamics in surf zone, the pollutant movement state is quite complicated and different from that in pure current zone.