Cell-shape assemblage and nanostructure of akaganéite bioformed in FeCl2 solutions

Environmental Science and Pollution Research - Akaganéite (β-FeOOH) with a tunnel structure typically occupied by chloride can undergo anion-exchange reactions in aqueous solutions for...     

Biosorption of zinc and copper from aqueous solutions by two freshwater green microalgae Chlorella pyrenoidosa and Scenedesmus obliquus

Purpose

The objective of this study was to determine the removal of zinc and copper by two freshwater green microalgae Chlorella pyrenoidosa and Scenedesmus obliquus and to investigate changes of algal ultrastructure and photosynthetic pigment.

Methods

Algal cells were exposed for 8 days to different initial zinc or copper concentrations. Heavy metal concentrations were detected by an atomic absorption spectrophotometer. Algal growth, ultrastructure, and photosynthetic pigment were analyzed by a microplate reader, transmission electron microscope, and spectrophotometer, respectively.

Results

Low zinc and copper concentrations induced increase in algal growth, whereas application of high zinc and copper concentrations suppressed the growth of both algae. High metal concentrations also decreased the photosynthetic pigments and destroyed algal cell ultrastructure. The zinc removal efficiency by both algae increased rapidly during the first day and thereafter remained nearly constant throughout the experiment. The copper removal efficiency by both algae increased slowly during the whole experimental periods. In all cultures, the quantity of both metals removed intracellularly was much lower than the adsorbed quantity on the cell surface.

Conclusions

Both strains of the microalgae had proven effective in removing zinc and copper from aqueous solutions, with the highest removal efficiency being near 100%. In addition, C. pyrenoidosa appeared to be more efficient than S. obliquus for removing copper ions. On the contrary, S. obliquus appeared to be more efficient than C. pyrenoidosa for removing zinc ions.     

杨树刺槐混交林沙地土壤的水分—物理性质

研究了刺槐与杨树混交林后沙地土壤水分－物理性质变化的状况,结果表明,刺槐与杨树混交后,土壤水分－物理性质得到了改善,表现在土壤最大持水量增加,毛管持水量、田间持水量得以提高,土壤有效持水量也有了较大幅度的提高,刺槐与杨树混交后土壤总孔隙度、非毛管孔隙度、毛管孔隙度得到提高,并由此而改善了混交林土壤的渗透性能,表4参7     

Ammonia production and kinetic properties of glutamate dehydrogenase in the sipinculid Phascolosoma arcuatum exposed to anoxia

The amounts of total NH ₄ ⁺ detected in the external media in which Phascolosoma arcuatum had been exposed to various periods of anoxia were significantly greater than those in which the worms were exposed to normoxia for a similar period. The increased NH ₄ ⁺ production by P. arcuatum during anoxic exposure was unlikely to be due to an increased catabolism of adenine nucleotides or urea. In contrast, there were significant decreases in the concentrations of several free amino acids in the coelomic plasma and body tissues of individuals during the 48 h of anoxic exposure. The amount of NH ₄ ⁺ produced by the anoxic P. arcuatum could be accounted for by the decreases in the concentrations of aspartate or glycine. Increases in the catabolism of free amino acids (FAA), leading to the increased production of NH ₄ ⁺ , in P. arcuatum during anoxia were supported by the detection of significant changes in the kinetic properties of glutamate dehydrogenase (GDH), in the deaminating direction, from worms exposed to anoxia for 48 h. The apparent increase in the affinity of GDH from the anoxic worm to glutamate would bring about a greater deaminating activity at physiological concentrations of ths substrate. P. arcuatum used in these experiments were collected from the mangrove swamp at Mandai, Singapore between 1990 and 1993.     

三峡库区水土流失特点及其环境危害防治措施探讨

水土流失是三峡库区主要环境问题之一,也是库区产生大量泥沙的根本因素,更是造成库区人民生活贫困的根源。本文就三峡库区水土流失的特点及其环境危害作了分析,提出了相应的防治措施,为水土流失防治工程提供科学依据。     

污泥的粘度与浓度、温度三者关系式的实验推导

通过融合污泥粘度与污泥浓度关系式、污泥粘度与温度关系式,得到一个新的关系式:污泥粘度与污泥浓度、温度的关系式,并通过实验数据拟合出各项参数,拟合效果比较理想.得出的污泥粘度与污泥浓度、温度的关系式对了解污泥的粘度变化非常有帮助,同时,该关系式也将为污泥处理、处置方案的制定提供参考依据.     

海洋石油工程新型溢油监测系统的研究

随着海洋石油的开采力度的加大,海上平台溢油事故也不断发生。在对传统监测方式的不足和海上溢油监测技术未来发展的趋势进行了综合考虑之后,开发了一套基于紫外诱导荧光探测技术的溢油监测系统。监测系统主要由检测终端、数据采集及异常报警系统和计算机处理及显示终端3个子模块组成,可以实现对海上平台潜在油污染源头信息的实时收集、传输、预警等功能。     

Deep learning architecture for air quality predictions

With the rapid development of urbanization and industrialization, many developing countries are suffering from heavy air pollution. Governments and citizens have expressed increasing concern regarding air pollution because it affects human health and sustainable development worldwide. Current air quality prediction methods mainly use shallow models; however, these methods produce unsatisfactory results, which inspired us to investigate methods of predicting air quality based on deep architecture models. In this paper, a novel spatiotemporal deep learning (STDL)-based air quality prediction method that inherently considers spatial and temporal correlations is proposed. A stacked autoencoder (SAE) model is used to extract inherent air quality features, and it is trained in a greedy layer-wise manner. Compared with traditional time series prediction models, our model can predict the air quality of all stations simultaneously and shows the temporal stability in all seasons. Moreover, a comparison with the spatiotemporal artificial neural network (STANN), auto regression moving average (ARMA), and support vector regression (SVR) models demonstrates that the proposed method of performing air quality predictions has a superior performance.     

微波-H202-膨胀石墨协同催化氧化处理甲基橙废水

为了研究膨胀石墨、微波和H2O2在催化氧化体系中的协同作用,采用微波法制备膨胀石墨,通过单因素条件实验,研究了微波、H2O2和膨胀石墨协同催化氧化法处理甲基橙废水工艺,探讨了各种因素协同作用对废水脱色效果的影响.实验结果表明,微波- H2O2 -膨胀石墨氧化体系能高效快速地降解废水中的甲基橙,在50 mL 初始pH 为...     

青海湖几种主要湿地植物的种群分布格局及动态

应用种群生态空间分布的分析方法,研究了青海湖四种主要湿地植物：杉叶藻（Hippuris vulgaris)、槽杆荸荠（Eleocharis valleculosa)、华扁穗莞（Blysmus sinocompresus)、碱蓬（Suaeda glauca)的空间分布格局及其动态,研究表明：杉叶藻、槽杆荸荠、华扁穗莞三种群由侵入期、定期初期到种群发育盛期的过程中,其集群程度先增大后减小,总体呈扩散的趋势;碱蓬种群,从幼苗到繁殖期,集群程度增大,呈聚集的趋势,说明前三种植物的克隆繁殖方式于滨湖湿地生境具有更好的生态适应性,图2表3参11