Long range trans-Pacific transport and deposition of Asian dust aerosols

The deposition of Asian dust aerosols during their trails-Pacific Uansport might cause significant marine phytoplankton biomass increases.However,the knowledge of the trans-Pacific dust transport,deposition,and spatial distribution is still poor due to a lack of continuous and simultaneous observations in the Asian subcontinent,the north Pacific Ocean,and North America.The severe Asian dust storm during 6 to 9 April 2001 provided an opportunity to gain a better understanding of trans-Pacific dust transport and deposition,using a comprehensive set of observations from satellites,ground-based light detection and ranging,aircraft,and surface observation networks.The observations and model simulations outline the general pattern of dust transport,deposition,vertical profile,and spatial distribution.The following points were observed(1)the surface dust concentrations decreased exponentially with the increasing dust transport distance from 80°E to 120°W along the transport pathway;(2)the altitude of the dust concentration peak increased with increasing transport distance in the north Pacific region;and (3) the spatial distribution of dust deposition mainly depended on the trans-Pacific transport route.     

Substrate-induced changes in microbial community-level physiological profiles and their application to discriminate soil microbial communities

The addition of simple substrates could affect the microbial respiration in soils. This substrate-induced respiration is widely used to estimate the soil microbial biomass, but little attention has been paid to its influence on the changes of community-level physiological profiles. In this study, the process of microbial communities responding to the added substrate using sole-carbon-source utilization （BIOLOG） was investigated. BIOLOG is biased toward fast-growing bacteria; this advantage was taken to detect the prompt response of the active microbial communities to the added substrate. Four soil samples from agricultural fields adjacent to heavy metal mines were amended with L-arginine, citric acid, or D-glucose. Substrate amendments could, generally, not only increase the metabolic activity of the microbial communities, but also change the metabolic diverse patterns compared with no-substrate control. By tracking the process, it was found that the variance between substrate-induced treatment and control fluctuated greatly during the incubation course, and the influences of these three substrates were different. In addition, the application of these induced changes to discriminate soil microbial communities was tested. The distance among all samples was greatly increased, which further showed the functional variance among microbial communities in soils. This can be very useful in the discrimination of microbial communities even with high similarity.     

Validation of an agricultural non-point source （AGNPS） pollution model for a catchment in the Jiulong River watershed, China

This study tested and evaluated the agricultural non-point source(AGNPS)model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province. China. The AGNPS model was calibrated and validated for the study area with observed data onten storms. Thedata on eight stormsin 2002 were used for calibration while data on two stormswere used for validation of the model. Considering the lack of water quality data over a long-term series, a novel method, comparing an internal nested catchment with its surrounding catchment, was used to supplement the less long-term series data. Dual calibration and validation of the AGNPS model was obtained by this comparison. The results indicate that the correlation coefficients were 0. 99 and 0. 98 for runoff, 0. 94 and 0. 95 forthe peak runoff rate of the large catchment and the small catchment, respectively, and 0. 76 forthe sediment of the small catchment only. Each pair of correlation coefficients is homogeneous for the same event for the two catchments. With the exception of the sediment yield and particulate phosphorus, the peak nmofr rate and other nutrients were well predicted. Sensitivity analysis showed that the Soil Conservation Service curve number and rainfall quantity were the most sensitive parameters, which resulted in high output variations. Erosivitv and other parameters had little influence on the hydrological and quality outputs.     

Characterization of the Songhua River sediments and evaluation of their adsorption behavior for nitrobenzene

The explosion at a plant of the Jilin Petrochemical Corporation on 13 November,2005,and the spill of an estimated 100 t of toxic substances (nitrobenzene as the main component) into the Songhua River received worldwide attention.This study has focused on the adsorption behavior of nitrobenzene that spilled onto sediments along the Songhua River,which was one of the efforts to evaluate the fate of nitrobenzene after the spillage event.The organic carbon contents of these sediments along the Songhua River ...     

Indoor and outdoor BTX levels in Barcelona City metropolitan area and Catalan rural areas

Five aromatic hydrocarbons (benzene, toluene, and three isomeric xylenes) were monitored in indoor and outdoor air of 7 public buildings and 54 private homes, located in Barcelona City metropolitan area and in several rural areas of Catalonia. The sampling was carried out over four periods: spring-summer and winter of 2000, and summer and winter of 2001. Passive ORSA 5 Dra¨ger samplers were used for benzene, toluene, and xylenes (BTX) adsorption. BTX were extracted with carbon disulphide and analysed using ...     

Improved speciation of dissolved organic nitrogen in natural waters: amide hydrolysis with fluorescence derivatization

The objective of this study was to improve primary-amine nitrogen (1°-N) quantification in dissolved organic matter (DOM) originating from natural waters where inorganic forms of N, which may cause analytical interference, are commonly encountered. Efforts were targeted at elucidating organic-N structural criteria influencing the response of organic amines to known colorimetric and fluorescent reagents and exploring the use of divalent metal-assisted amide hydrolysis in combination with fluorescence analyse...     

Metabolism-independent chemotaxis of Pseudomonas sp. strain WBC-3 toward aromatic compounds

Pseudomonas sp. strain WBC-3 utilized methyl parathion or para-nitrophenol (PNP) as the sole source of carbon, nitrogen, and energy, and methyl parathion hydrolase had been previously characterized. Its chemotactic behaviors to aromatics were investigated. The results indicated that strain WBC-3 was attracted to multiple aromatic compounds, including metabolizable or transformable substrates PNP, 4-nitrocatechol, and hydroquinone. Disruption of PNP catabolic genes had no e?ect on its chemotactic behaviors w...     

4种动物养殖场空气中抗生素耐药菌的生物多样性及群落结构

动物集约化养殖场可向空气环境释放大量微生物,包括抗生素耐药菌甚至是耐药致病菌,危害动物和工人健康并污染周边空气环境.针对以上问题,本研究以四环素和红霉素耐药菌为例,对动物养殖场空气颗粒物负载抗生素耐药菌的生物多样性以及群落结构展开研究.基于高通量测序技术,对比分析动物舍内与舍外颗粒物,以及粪便样品中抗生素耐药菌的生物学差异,并研究驱动以上差异的关键菌属.结果表明,整体上养殖场空气颗粒物负载红霉素耐药菌的生物多样性高于四环素耐药菌,舍内空气颗粒物负载生物的多样性高于粪便样品.细颗粒物和粗颗粒物负载抗生素耐药菌的生物多样性和群落结构均无显著差异. Actinobacteria是导致红霉素耐药菌和其他细菌群落差异的关键菌门之一,Staphylococcus是四环素耐药菌群区别于红霉素耐药菌和全部细菌菌群的关键菌属之一.群落结构研究结果显示,四环素和红霉素耐药菌的优势菌群和群落结构没有显著差异.但粪便和空气颗粒物负载生物的群落结构在属水平上差异显著,优势菌门也有所不同.本研究结果将为准确评估动物养殖场空气环境中抗生素耐药菌污染现状及其生态风险提供基础数据.     

人工强制混合充氧及诱导自然混合对水源水库水质改善效果分析

为探究人工强制混合充氧与诱导持续混合对水质改善的影响及人工强制混合与自然混合的衔接条件,以李家河水库为例,于2017年6月至2019年4月开展水质及水文气象指标监测,分析自然过程及人工诱导混合过程各时期水温、溶解氧及水质变化特征.结果表明:①自然过程分层期持续时间长,混合期仅为2.5个月,人工诱导混合过程通过扬水曝气系统的运行, 9月底水体达到完全混合且进入降温期,诱导自然混合条件具备,表层水温、平均气温分别为20.17℃和16.5℃,此时系统关闭后水体持续自然混合,混合周期延长至5.5个月;②自然过程污染物浓度较高,混合期表层污染物浓度呈现先增加后降低的趋势,氧跃层伴随热分层出现,底部厌氧周期达6个月;③相较于自然过程,人工诱导混合过程水体等温层厌氧消除且污染物控制效果良好, 10月至翌年3月同期底层NH⁺₄-N、 TP、 Fe和Mn浓度的削减率为76.2%、 75.5%、 82.2%和82.1%,均达到地表水环境质量标准,人工诱导混合过程有利于水质改善及混合作用时效的延长.     

人工神经网络光度法同时测定四组份染料混合物

介绍人工神经网络的原理,对典型神经网络系统做介绍,并对人工神经网络在光谱分析中的应用作解说.应用人工神经网络原理,以快速BP算法,对紫外可见吸收光谱严重重叠的四组分的染料溶液同时进行含量测定.在200～600 nm的范围内,以12个特征波长处的吸收值作为网络特征参数,通过网络训练,酸性橙Ⅱ、酸性红B、甲基紫、酸性嫩黄的相对标准偏差分别为0.95%～2.30%,4种成分的回收率在96.3%～104%之间.实验表明,该算法速度快,预测结果准确,可用于人工神经网络光度法定量测定光解废水中多组份混合染料.