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.     

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。     

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。     

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.     

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.     

Propagation characteristics of subaerial landslide-generated impulse waves

Environmental Fluid Mechanics - Subaerial landslide-generated impulse waves were investigated in a rectangular prismatic channel based on the Froude similarity criterion. Landslides were modeled...     

施肥对稻田甲烷与氧化亚氮排放的影响

大气温室气体浓度的升高引起太阳辐射加强,导致全球变暖已成为不争的事实。农田是温室气体排放的重要来源之一,采用静态箱-气相色谱法探讨不同氮肥类型与施氮水平对华南稻田甲烷（CH4）与氧化亚氮（N2O）排放的影响。试验共设置5个处理,每处理3次重复,分别（以N计）为U6（90 kg·hm-2）,U10（150 kg·hm-2）,U12（180 kg·hm-2）,SR10（150 kg·hm-2,缓释肥）,CR10（150 kg·hm-2,控释肥）。各处理磷钾肥用量一致,分别为45 kg·hm-2（以P2O5计）和127.5 kg·hm-2（以K2O计）。研究结果表明：稻田CH4与N2O排放量随氮肥用量的增加呈增加趋势。晚稻CH4排放呈单峰型,其峰值出现在水稻移栽后16~23 d,N2O排放并未出现明显的排放峰。CH4累积排放主要发生在返青-分蘖初期和分蘖盛期-幼穗分化期两个时段,而N2O的累积排放主要集中在灌浆-成熟期（U6处理除外）。不同氮肥类型处理CH4季节排放总量与平均排放量表现为：处理SR10〉处理U10〉处理CR10,其中,控释肥处理甲烷排放总量较常规尿素处理减少了11.3%;而N2O季节排放总量与平均排放量表现为：处理CR10〉处理U10〉处理SR10。综上,初步认为氮肥的施用能够促进CH4与N2O的释放,缓释肥处理能有效减少稻田N2O的排放,而控释尿素处理能明显降低稻田CH4气体的排放,且稻田CH4与N2O的排放存在一定的互为消长关系,因此如何平衡稻田甲烷与氧化亚氮释放,使稻田增温潜势最小化是下一步研究的重点和方向。     

海洋环境中纳米金属的生物吸收及生物效应

当前随着纳米科技的发展,纳米材料,特别是纳米金属,因其独特的物化性质,在各行各业中的使用量呈指数增长,致使其在大气、水域、土壤环境中的安全性问题引起公众关注。尤其是在受到人类活动密切影响的近岸海洋环境中,纳米金属的潜在生态效应成为当前国内外研究的热点之一。本文重点综述了由于海洋环境的理化因子以及纳米金属独特的物化性质导致的纳米金属的环境行为,海洋生物对纳米金属的吸收,以及纳米金属的生物效应和可能的致毒机制,旨在为评估海洋环境中纳米金属的潜在生态危害,完善纳米材料的监管机制及保障纳米科技的可持续发展提供思路。     

煤炭生物脱硫正交实验研究

通过对取自城门山,杨桃坞,德兴和云南的嗜酸氧化亚铁硫杆菌(Acidithiobacillus ferrooxidans)的生理活性的研究比较,选取了氧化活性较好的德兴菌种做正交试验.应用正交试验的方法研究了浸出时间,煤浆质量分数,pH值和接种量这4个因素的组合作用对煤炭生物脱硫效果的影响.对试验结果进行极差分析和方差分析,结果表明各因素对脱硫效果的影响有很大差异.在所研究因素的水平范围内,浸出时间对煤脱硫效率的影响最为显著,影响率达到74.21%;pH值对煤脱硫效率的影响也很显著,影响率为16.80%;接种量对煤脱硫效率的影响较为显著的,其影响率仅为5.27%;煤浆质量分数对脱硫效率的影响率最低,仅为1.78%.通过对正交试验的实验结果的直接观察,极差分析和方差分析,获得了三个可能的最优方案.其中通过实验结果直接观察得到的最优方案的脱硫率可达63.80%.     

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...