古泊善后河水质污染特征及污染来源调查

以2016—2020年古泊善后河国家和省级地表水监测网水质例行监测数据为依据,采用水质指数法(WQI)对古泊善后河水质污染状况进行综合评价;基于水质评价结果,选取影响最大的两项指标COD_Mn和TP,于2020年10月对古泊善后河开展加密监测,调查分析污染来源。结果表明,2016—2020年古泊善后河水质波动变化较大,汛期降雨对水质下降影响明显,COD_Mn、TP、COD_Cr、氟化物和BOD₅是影响古泊善后河水质的主要指标;加密监测期间,古泊善后河干流水质COD_Mn和TP指标浓度分别升高28.9%、38.3%,其中宿迁段升幅显著高于连云港段;支流水质超Ⅲ类比例为22.9%,劣Ⅴ比例为6.3%;部分乡镇生活污水直排和持续降雨将农田中高浓度污染物冲刷进河流支浜,是导致水质下降的主要原因。     

镇江市挥发性有机物污染特征及来源分析

利用镇江市2019年4—10月市区4个空气质量国控站点VOCs监测数据,对大气中70种VOCs的组分特征、时间与区域变化进行分析,并用比值法研究VOCs来源特征。结果表明,4个站点PAMS组分的测定值为17.7 μg/m3~27.5μg/m3,醛酮类组分为15.4 μg/m3~165 μg/m3。各站点VOCs来源侧重点略有不同,主要来源是工业源、交通源、溶剂涂料的使用等。     

湘江大源渡枢纽底泥中镉、铅的污染特征及其潜在生态风险评价

为研究湘江大源渡枢纽底泥中Cd、Pb的污染特征及其生态风险,采集6个断面的18个底泥样品,测定了沉积物中Cd、Pb的总量、化学形态及其生物有效性,并利用地积累指数法和单因子指数法评价其污染程度与等级.结果表明,湘江大源渡枢纽底泥中Cd、Pb存在很强的积累现象,尤其是Cd污染特别严重.各采样点底泥中Cd主要以碳酸盐结合态...     

Transferral of HMs pollution from road-deposited sediments to stormwater runoff during transport processes

Ratio of turbidity and TSS (Tur/TSS) was used to characterize PSD of stormwater particles. Pb and Zn preferred to accumulate in finer RDS, while Cu, Cr and Ni in coarser RDS. HMs pollution in stormwater particles increased linearly with Tur/TSS. Dissolvability of HMs and PSD variations contribute to the differences between RDS and stormwater. Stormwater runoff, derived from the wash-off of road-deposited sediments (RDS), contains elevated heavy metal (HM) concentrations and, thus, imposes an increasing threat to urban aquatic ecosystems. In-depth understanding of the variations of HMs pollution from RDS to stormwater during transport processes facilitates the development of effective RDS and stormwater control strategies. Toward this end, the distribution of HMs (Cu, Pb, Zn, Cr, and Ni) in RDS and stormwater were investigated simultaneously. The results show a preferential accumulation of Pb and Zn in the finer (<38.5 μm) RDS, and Cu, Cr and Ni in the coarser (38.5–150 μm) RDS. For stormwater, n.d.~48.6% of HMs fractionated into the dissolved phase, and stormwater particles constitute the primary carriers of HMs. Furthermore, the accumulation of HMs in stormwater particles increased linearly with finer particle size distributions (PSD). Geoaccumulation index (I_geo) highlighted the predominant pollution of both RDS and stormwater particles by Cu, Pb and Zn. Nonetheless, Cu, Pb, and Ni mostly contributed the potential ecological risk of RDS, whereas Cu, Pb, and Zn mainly contributed that of stormwater particles. Moreover, contamination by Cu, Pb and Zn was significantly higher in stormwater particles than that in RDS. These differences are attributable to the solubility and size-dependent accumulation of HMs in RDS, as well as the PSD variations during transport processes. The study outcomes highlight the importance of very fine (nano- and submicron- scale) RDS in stormwater pollution and the necessity of control.     

企业职业卫生综合风险管理评估体系的研究与应用

为了能够全面、客观地评估企业职业卫生风险管理质量,利用美国EPA吸入风险评估模型、新加坡化学物职业暴露半定量风险评估模型以及风险指数评估模型,对作业场所存在的职业病危害因素进行风险水平评估,并结合企业职业卫生管理评估模型,对企业职业卫生管理水平进行定量评估,以风险等级和管理水平,综合判断企业职业卫生风险水平。将该体系应用于实例分析,结果表明:体系在充分考虑企业职业病危害因素时空分布以及企业管理现状的基础上,能够定量评估职业病危害因素的急慢性影响以及企业职业卫生管理水平。     

我国废旧纺织品综合利用现状及发展方向

通过分析废旧纺织品综合利用现状,总结了纯棉废旧纺织品、废旧民用纺织品、废旧军服等领域综合利用的初步进展,提出了我国目前废旧纺织品综合利用存在的主要问题,明确了废旧纺织品综合利用的发展方向,即废旧纺织品综合利用必须紧紧围绕“合理规划、分类回收、技术保障、市场拓展、政策引导、舆论宣传、全社会广泛参与”的指导方针,通过长期而系统的推进,最终实现行业规范化、专业化、集约化的健康科学发展。     

河流水环境有机污染物的自组织预测模型及应用

自组织预测模型是前苏联学者伊万年科提出的一种非线性建模预测方法,它能有效地解决复杂非线性系统的数据处理和建模问题。该文应用它进行水环境有机污染物预测,以实际监测数据为基础,建立了一个河流有机物浓度预测的自组织模型,其检验样本的预测误差在５％以内      

大气污染物总量收费方法研究

在分析排污收费的经济学基础上,通过引入“责任系数”和“责任份额”的概念,将污染源的排污行为与环境质量直接联系起来,认为对污染源排污费的征收应以该源对环境所造成的危害程度为测算依据,笔者提出了一种与大气污染物总量控制相配套的总量收费方案,以期与有关人士商榷。      

Responses of microbial interactions to elevated salinity in activated sludge microbial community

● Salinity led to the elevation of NAR over 99.72%. ● Elevated salinity resulted in a small, complex, and more competitive network. ● Various AOB or denitrifiers responded differently to elevated salinity. ● Putative keystone taxa were dynamic and less abundant among various networks. Biological treatment processes are critical for sewage purification, wherein microbial interactions are tightly associated with treatment performance. Previous studies have focused on assessing how environmental factors (such as salinity) affect the diversity and composition of the microbial community but ignore the connections among microorganisms. Here, we described the microbial interactions in response to elevated salinity in an activated sludge system by performing an association network analysis. It was found that higher salinity resulted in low microbial diversity, and small, complex, more competitive overall networks, leading to poor performance of the treatment process. Subnetworks of major phyla (Proteobacteria, Bacteroidetes, and Chloroflexi) and functional bacteria (such as AOB, NOB and denitrifiers) differed substantially under elevated salinity process. Compared with subnetworks of Nitrosomonadaceae, Nitrosomonas (AOB) made a greater contribution to nitrification under higher salinity (especially 3%) in the activated sludge system. Denitrifiers established more proportion of cooperative relationships with other bacteria to resist 3% salinity stress. Furthermore, identified keystone species playing crucial roles in maintaining process stability were dynamics and less abundant under salinity disturbance. Knowledge gleaned from this study deepened our understanding of microbial interaction in response to elevated salinity in activated sludge systems.     

我国实验室生物安全防护装备的现状与趋势

本文探讨我国实验室生物安全防护装备的装备概况、生产概况与发展趋势,旨在对促进我国生物安全防护装备的研发与生产,提高实验室的安全水平的研究提供帮助。