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.     

沈阳市某装备制造产业园地下水污染物运移模拟研究

为摸清沈阳市某装备制造产业园地下水污染运移规律,科学指导当地生态环境管理部门开展工作,以该园区为研究对象,采用有限差分法,建立了该区域地下水水流数值模型,并利用地下水数值模拟软件(GMS软件)模拟预测了连续源强和瞬态源强污染物泄漏情景下1年、5年、10年及20年后污染物在地下水中的运移情况.经计算得到结论如下:①连续源...     

电子废弃物中持久性有机污染物分析检测方法的研究进展

针对目前电子废弃物中持久性有机污染物(POPs)尚未形成有效快速分析检测方法的问题,介绍了溶剂萃取、固相萃取、微波萃取和超临界流体萃取等POPs前处理技术的研究进展,总结了POPs的分析方法,如:气相色谱、液相色谱、气相色谱-质谱法、高分辨率气相色谱-高分辨质谱法等化学分析方法,以及生物传感器测定法、表面胞质团共振检测法、酶联免疫检测法等生物分析方法。分析了各方法的优劣,并提出了展望。     

哈大绥城市“十三五”期间大气环境容量分析

根据2016—2020年哈尔滨市、大庆市、绥化市(以下称哈大绥)国控环境空气自动监测站的SO₂、NO₂、PM_2.5监测资料,统计年鉴中行政区划、污染物排放及气象等监测数据,分析哈大绥区域环境空气质量的变化趋势和测算因子,采用A值法核定了哈大绥区域SO₂、NO₂、PM_2.5的大气环境容量。结果表明:哈大绥SO₂、NO₂、PM_2.5 3项污染物采暖季的大气环境容量均呈逐年递增趋势。通过计算环境承载能力发现,哈大绥SO₂、NO₂、PM_2.5 3项污染物在非采暖季均具有高承载能力,哈大绥非采暖季环境容量高于采暖季。哈尔滨的个别污染物仍然处于临界超载状态,为减少重污染天气,应进一步削减采暖季污染物排放量。     

基于多种方法的长江上游小流域水质综合评价

选取大河和巴关河流域2018—2022年水质监测数据,运用单因子评价法、Spearman秩相关系数法、综合污染指数法和主成分分析法,对流域水质状况、变化趋势及主要污染物特征进行综合评价分析。结果表明:2018—2022年,大河流域水质未达到地表水Ⅲ类标准;流域整体综合污染指数超过了1,为重污染,下游污染程度较重;营养指标和有机污染物指标存在显著正相关。巴关河流域水质达到了地表水Ⅲ类标准;流域整体综合污染指数未超过1,为中污染,上游污染程度较重;营养指标、有机污染物指标和重金属指标等均呈现出不同程度的相关性。巴关河流域水质总体优于大河流域。TP、NH₃-N、COD_Mn、COD_Cr和BOD₅是影响大河流域和巴关河流域水质的主要因子,均属于有机型及富营养化污染指标,主要来自生活源和农业源。建议选择适宜的评价方法开展系统性小流域污染溯源,分河段有针对性地开展小流域水环境治理。     

生态足迹核算方法及其应用研究进展

近年来,生态足迹作为可持续发展的有效度量工具之一,获得了广泛关注。在参阅相关文献的基础上,系统总结了生态足迹核算方法及其应用特点和趋势,结果表明,（1）在核算方法上尚存争议,目前主要的核算方法有3种：传统土地足迹法;能值足迹法;投入产出足迹法。（2）从静态足迹核算朝时间序列足迹分析和动态情景足迹预测演化。（3）尽管在各个尺度上都有应用,但生态足迹目前仅被看作是交流工具,用于决策分析的意义不大。拓展其在企业及其产品系统的应用,将是其应用价值体现的一个突破口。（4）生态足迹作为一系列指标的一部分时,发挥作用更大。（5）生态足迹应加强与现有核算体系（如GDP）的衔接,增加其被决策者接纳的可能性。     

三峡水库入库溪流中麦氏花翅蜉(蜉蝣目:四节蜉科)的生活史研究

开展水生昆虫生长过程研究对掌握研究区域水生生物的生物学特征和研究区域生态环境状况等均具有重要作用,可为构建和完善研究区域河流生态环境保护体系提供科学参考。于2017年逐月对香溪河库湾入库支流(螃蟹溪)中的一种水生昆虫——麦氏花翅蜉(Baetiella macani)的种群进行了研究,基于大小频率法、幼虫期有效积温条件进行了生活史性状分析和验证。结果显示:麦氏花翅蜉为三化性昆虫,包含一个冬季世代和两个夏季世代。冬季世代幼虫的发育历期为3~4个月,所需有效积温为1 286 ℃;夏季世代幼虫的发育历期为1~2个月,所需有效积温为757 ℃。研究结果丰富了中国地区水生昆虫的生活史性状信息,并首次呈现了花翅蜉属的生活史特征。     

基于ANSYS-PDS的含缺陷压力容器可靠性分析

为更准确地分析含缺陷压力容器的可靠性,提出采用ANSYS软件中的PDS模块建模求解,从本质上克服API 581压力容器可靠性分析的局限性,采用将压力容器的内径、原始壁厚、缺陷深度、压力容器内压设置为服从正态分布的随机变量的方法,基于响应面法结合蒙特卡洛法抽样分析,通过编写APDL代码,探讨含缺陷压力容器的可靠性.结果表...     

Succession of aquatic microbial communities as a result of the water quality variations in continuous water

The changes of structural and functional parameters of aquatic microbial communities in continuous water on campus of Tsinghua University, China are investigated by polyurethane foam unit(PFU) method. The measured compositions of the communities include alga, protozoa, and some metazoa (such as rotifers). The measured indicators of water quality include water temperature, pH value, dissolved oxygen (DO), potassium permanganate index(CODMn), total nitrogen(TN), total phosphorus(TP) and chlorophyll- a(Chla). The trophic level, expressed by the trophic level indices(TL/c), is assessed with analytic hierarchy process and principal component analysis (AHP-PCA) method. The changing trends of the structural and functional parameters of aquatic microbial communities, such as Margalef index of diversity(D), Shannon-weaver index of diversity (H), Heterotropy index (HI), number of species when the colonization gets equilibrium(Seq), colonizing speed constant(G) and time spent when 90 percent of Seq colonized in PFU ( T90% ), are also analyzed. The experimental results showed the succession of aquatic microbial communities along the water flow is consistent with the water quality changes, so the parameters of microbial community can reflect the changes of water quality from the ecological view.