Understanding and addressing the environmental risk of microplastics

Over the past decades, the plastic production has been dramatically increased. Indeed, a category of small plastic particles mainly with the shapes of fragments, fibers, or spheres, called microplastics (particles smaller than 5 mm) and nanoplastics (particles smaller than 1 μm) have attracted particular attention. Because of its wide distribution in the environment and potential adverse effects to animal and human, microplastic pollution has been reported as a serious environment problem receiving increased attention in recent years. As one of the commonly detected emerging contaminants in the environment, recent evidence indicates that the concentration of microplastics show an increasing trend, for the reason that up to 12.7 million metric tons of plastic litter is released into aquatic environment from land-based sources each year. Furthermore, microplastic exposure levels of model organisms in laboratory studies are usually several orders of magnitude higher than those found in environment, and the microplastics exposure conditions are also different with those observed in the environment. Additionally, the detection of microplastics in feces indicates that they can be excreted out of the bodies of animal and human. Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on current studies, which might be exaggerated. Policies reduce microplastic emission sources and hence minimize their environmental risks are determined. To promote the above policies, we must first overcome the technical obstacles of detecting microplastics in various samples.     

两种典型持久性有机污染物对草履虫急性毒性初探

滴滴涕和苯并芘这两种典型持久性有机污染物在环境中已广泛分布,因此,本研究利用单细胞真核模式生物-草履虫来研究其急性毒性效应,结果发现其毒性效应存在显著的剂量效应关系.DDT和BaP的半数致死浓度分别为126.012 mg·L-1和180.167 mg·L-1,且这两种污染物的浓度和概率间存在很好的线性关系.不同浓度的D...     

蜡状芽孢杆菌WXZ-8的异养硝化/好氧反硝化性能研究

通过聚合酶链式反应(PCR)扩增、16S rDNA测序并结合同源性分析,鉴别出菌株WXZ-8为蜡状芽孢杆菌(Bacillus ce-reus).对菌株WXZ-8进行异养硝化/好氧反硝化性能测定,并通过正交实验进行培养条件的优选,选取的因素为COD/N、温度、转速和pH.结果表明,对菌株WXZ-8影响最大的因素是转速,其次为COD/N;在最优条件(即温度=30℃、COD/N=25、pH=9.0、转速=180 r/min)下,菌株WXZ-8的氨氮去除率最高达到96.06%.在最优条件下,提高初始氨氮质量浓度为211.52、429.16、897.29mg/L时.菌株WXZ-8在前48 h的氨氮去除速度均达到最大,分别为119.04、94.76,142.21 mg/(L·d),其氨氮去除率最高分别为94.41%、73.43%、51.08%.菌株WXZ-8具有良好的异养硝化/好氧反硝化性能.     

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

Identification and quantification of dissolved oxygen (DO) profiles of river is one of the primary concerns for water resources managers. In this research, an artificial neural network (ANN) was developed to simulate the DO concentrations in the Heihe River, Northwestern China. A three-layer back-propagation ANN was used with the Bayesian regularization training algorithm. The input variables of the neural network were pH, electrical conductivity, chloride (Cl^?), calcium (Ca²⁺), total alkalinity, total hardness, nitrate nitrogen (NO₃-N), and ammonical nitrogen (NH₄-N). The ANN structure with 14 hidden neurons obtained the best selection. By making comparison between the results of the ANN model and the measured data on the basis of correlation coefficient (r) and root mean square error (RMSE), a good model-fitting DO values indicated the effectiveness of neural network model. It is found that the coefficient of correlation (r) values for the training, validation, and test sets were 0.9654, 0.9841, and 0.9680, respectively, and the respective values of RMSE for the training, validation, and test sets were 0.4272, 0.3667, and 0.4570, respectively. Sensitivity analysis was used to determine the influence of input variables on the dependent variable. The most effective inputs were determined as pH, NO₃-N, NH₄-N, and Ca²⁺. Cl^? was found to be least effective variables on the proposed model. The identified ANN model can be used to simulate the water quality parameters.     

贮灰场源强的确定及污染防治措施

灰场评价是电厂环境影响评价中非常重要的部分,粉煤灰的性质,决定了空气环境影响评价在贮灰场的评价中具有重要的地位和作用。而贮灰场源强的计算,则是贮灰场空气评价的关键。本文结合实际工作,从贮灰场空气污染源产生环节分析入手,结合已有资料,分别讨论了干式贮灰场空气污染源中表层起尘量和自卸汽车卸料起尘量的影响因素及源强计算,并根据其影响因素,总结了贮灰场空气污染防治措施的一些要点,希望对广大环评工作者有所裨益。     

火焰原子吸收光谱法测定电镀废水中高浓度的锡

采用盐酸消解样品,用火焰原子吸收光谱法测定电镀废水中高浓度的锡的质量浓度,方法简单可靠。通过实验样品的分析,验证了方法的准确度和精密度。该方法干扰少,数据准确,适合废水分析。     

国外快速测定化学消油剂消油效果的几种方法

化学消油剂消油效果的现场评定方法必须满足适合现场操作、材料价廉易得、结果可靠准确等条件。对国外现有的现场快速测定消油剂效果的5种方法进行比较,结果表明,英国的佩内特鉴别法、挪威的菲勒溢出油检测装置和加拿大的梅蒂现场测定法存在一定的缺陷,不推荐使用。美国环保局的现场测定法(EPA FDET)简单、快速、准确。加拿大渥太华一家环境研究机构研制出的现场试验法比EPA FDET法耗时多,但原材料价格低廉,操作简单,结果可靠,值得推广应用。     

黄土风化成土过程中主要元素迁移序列

主要研究了渭南黄土剖面中主要化学组分的分布特征、影响因素以及它们在风化成土过程中的迁移富集规律。结果表明：（1）在剖面中随着黄土与古土壤层的交替叠复，各组分含量由低-高或由高-低呈周期性变化。（2）碳酸盐含量的剧烈变化是影响黄土元素分布特征极为重要的因素，古土壤中一些组分的含量增高，主要是碳酸盐被强烈淋滤造成的相对富集。（3）在黄土风化成土过程中，CaCQ3、SiQ2、FeO、MgO、K2O、Na2O等本身的地球化学行为以迁移为主，而Al2O3、Fe2O3、TiO2等均以淀积为主。它们在黄土中的迁移能力有如下顺序：CaCO3＞FeO＞MgO＞Na2O＞K2O＞SiO2＞Al2O3＞TiO2＞Fe2O3。（4）除碳酸盐外，黄土风化成土过程中铁的变化比其它组分都明显，表现为价态以及形态的转化。铁的转化主要为就地完成．本身没有发生明显迁移。     

小型硫磺回收装置的设计与试运

介绍寒冷地区小型硫磺回收的设计特点，包括选用一、二、三级冷凝器同壳、低噪音鼓风机；试生产中的改进经验，包括过程气用蒸汽夹套保温，带有硫封的被硫储罐．     

利用硫铁矿渣（灰）制取海绵铁

结合硫酸生产的特点，充分利用废热的方法，提出一种采用流态化技术，还原回收硫铁矿渣（灰）中铁元素的工艺流程，并对流程中的流态化还原炉进行了初步的物料，热理衡算，同时对该工艺流程技术经济比较作了小结。认为此工艺流程技术可靠，有直接经济效益，对综合利用硫铁矿渣（灰）中的铁元素，消除渣（灰）对环境的污染，有着深远的意义。