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排序方式: 共有1057条查询结果,搜索用时 31 毫秒
1.
Shuyan Wang Lin Du Narcisse T. Tson Xiaotong Jiang Bo You Li Xu Zhaomin Yang Wenxing Wang 《环境科学学报(英文版)》2020,32(6):151-162
Methylglyoxal(CH_3COCHO,MG),which is one of the most abundant α-dicarbonyl compounds in the atmosphere,has been reported as a major source of secondary organic aerosol(SOA).In this work,the reaction of MG with hydroxyl radicals was studied in a 500 L smog chamber at(293±3) K,atmospheric pressure,(18±2)% relative humidity,and under different NOx and SO_2.Particle size distribution was measured by using a scanning mobility particle sizer(SMPS) and the results showed that the addition of SO_2 can promote SOA formation,while different NOx concentrations have different influences on SOA production.High NOx suppressed the SOA formation,whereas the particle mass concentration,particle number concentration and particle geometric mean diameter increased with the increasing NOx concentration at low NOx concentration in the presence of SO_2.In addition,the products of the OH-initiated oxidation of MG and the functional groups of the particle phase in the MG/OH/SO_2 and MG/OH/NOx/SO_2 reaction systems were detected by gas chromatography mass spectrometry(GC-MS) and attenuated total reflection fourier transformed infrared spectroscopy(ATR-FTIR) analysis.Two products,glyoxylic acid and oxalic acid,were detected by GC-MS.The mechanism of the reaction of MG and OH radicals that follows two main pathways,H atom abstraction and hydration,is proposed.Evidence is provided for the formation of organic nitrates and organic sulfate in particle phase from IR spectra.Incorporation of NOx and SO_2 influence suggested that SOA formation from anthropogenic hydrocarbons may be more efficient in polluted environment. 相似文献
2.
Tamara Apostolović Jelena Tričković Marijana Kragulj Isakovski Branislav Jović Snežana Maletić Aleksandra Tubić Jasmina Agbaba 《环境科学学报(英文版)》2020,32(12):134-142
The characteristics of the Danube river alluvial sediment are of great importance in assessing the risk for transport of pollutants to drinking water sources. Characterization of the sediment column layers has shown that the alluvial sediment, sampled near the city of Novi Sad, is a mesoporous sandy material with certain differences in the properties of individual layers. In order to investigate the sorption mechanisms of four chlorinated phenols (CPs) on the alluvial deposit, static sorption experiments were performed at pH 4, 7 and 10. The results of sorption experiments, confirmed by principal components analysis sugest different mechanisms govern the sorption process at different pH conditions. This can be attributed to the molecular characteristics of CPs, geosorbent properties and to variations in the surface charge of the sorbent at different pH conditions. 相似文献
3.
京津冀西北典型区域地下水位时空演变及驱动因素 总被引:1,自引:0,他引:1
京津冀西北地区是北京、天津重要的水源涵养区和生态屏障,也是“京津冀协同发展”战略重要的支撑区域。为揭示京津冀西北地区地下水位时空演变规律及其驱动因素,以张家口地区为研究区域,选取1981—2015年56个地下水位观测井连续观测数据、水文地质相关资料、气象数据、地下水资源开采数据和社会经济数据,对研究区内坝上高原、柴宣盆地、涿怀盆地和蔚阳盆地四个地貌单元地下水位时空演变规律和驱动因素进行分析。结果表明:张家口地区四个地貌单元及下辖各区县地下水位呈整体下降趋势,且下降速率逐步加快。35年间坝上高原水位降幅3.59 m<蔚阳盆地水位降幅3.6 m<涿怀盆地水位降幅7.17 m<柴宣盆地水位降幅20.41 m。张家口地区四个地貌单元地下水位动态变化与降雨量、蒸发量、气温等自然因素相关性较差,但与第一产业产值、常用耕地面积、有效灌溉面积、粮食总产量、蔬菜总产量、猪牛羊肉总产量、第二产业产值、第三产业产值和年末总人口等社会经济因素存在显著的相关性。在主成分分析中四个地貌单元前两个主成分的累计方差贡献率均>80%,其中第一个主成分主要为蔬菜总产量、猪牛羊肉总产量、年末总人口和第一、第二、第三产业产值等社会经济因素,不同地貌单元均可解释66%以上,表明社会经济因素是造成张家口地区地下水位持续下降的主要驱动因素。研究成果可为该地区未来社会经济的可持续发展和区域水资源的合理利用、调配以及京津冀西北地区水源涵养和生态功能保持提供理论依据。 相似文献
4.
采用稀释通道采样法对郑州市一家拜耳法氧化铝企业及一家α-氧化铝企业的PM2.5、PM10样品进行采集,利用烟气分析仪检测SO2和NOx气体的质量浓度.对颗粒物样品中的38种化学组分进行分析,构建相应的源成分谱,运用分歧系数(CD)和组分差异权重分布函数R/U对其特征进行对比研究.结果表明:α-氧化铝源谱中以Cl-为主(质量分数18.29%~25.21%),拜耳法氧化铝源谱中以OC和NO3-为主(质量分数9.01%~41.87%).源谱间的分歧系数(CD)显示,同一种生产工艺两种粒径间的源谱比较相似,相同粒径的两种生产工艺之间的源谱差异较大.R/U值对比结果显示,EC、Ca、F-和Cl- 4种元素可作为区分两种氧化铝生产工艺的标识组分. 相似文献
5.
Xiuzheng Zhuang Yanqin Huang Huacai Liu Hongyou Yuan Xiuli Yin Chuangzhi Wu 《环境科学学报(英文版)》2018,30(7):261-270
Sewage sludge (SS) and deinking sludge (DS) were used to comparatively study the hydrothermal dewatering of sludge with different components. For a better overview, an insight into the relationship between physicochemical properties and dewaterability of hydrothermal sludge was provided. Results found that not all kinds of sludge were suitably conditioned by hydrothermal treatment (HT) in term of the elevation of dewaterability. Higher hydrothermal temperature tended to enhance the dewaterability of SS rather than DS, which was supported by the variation of their physicochemical properties (including water distribution, bonding energy, extracellular polymeric substance (EPS), particles size, acid functional groups and zeta potential in this study). In addition, the changes in surface morphology suggested that the reverse effect of HT on sludge dewaterability was mainly due to their dewatering behavior. For SS, the destruction of EPS structure leaded to the release of bound water, thereby strengthening sludge dewatering. Conversely, “Bridging effect” generated by lignocellulose in DS was beneficial for sludge dewatering; however, the increasing hydrothermal temperature degraded part of lignocellulose and weakened “bridging effect”, finally resulting in worse dewaterability of DS. 相似文献
6.
Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong 总被引:4,自引:0,他引:4
As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NOx and NO2 are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NOx and NO2 concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NOx and NO2 concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods. 相似文献
7.
根据南通市2016和2017年冬季大气多参数站自动监测PM2.5数据和在线离子色谱分析仪Marga监测的PM2.5中水溶性离子数据,分析了南通市冬季PM2.5中水溶性离子污染特征。结果表明,南通市2016和2017年冬季,ρ(PM2.5)分别为58和54μg/m 3,均高出其年均值(14μg/m^3);ρ(水溶性离子)总占ρ(PM2.5)百分比分别为74.5%和74.3%;二次离子ρ(NO3^-、SO4^2-和NH4^+)占ρ(PM2.5)百分比分别为66.8%和66.6%;各水溶性离子占比大小依次为:NO3^-、SO4^2-、NH4^+、Cl^-、K^+、Na^+、Ca^2+、Mg^2+。对ρ(NO3^-)/ρ(SO 4^2-)分析表明,移动源已经成为南通市冬季的主要污染源,且呈逐年增强趋势。对氯氧化率和硫氧化率的分析表明,南通市冬季存在较明显的二次污染,SO2的转化程度大于NO2。除Na^+和Mg^2+外,其他离子与PM2.5均呈显著相关性,NO3^-、SO4^2-与NH4^+之间的相关系数最高,Cl^-与除Na^+外的所有阳离子均呈显著相关性。 相似文献
8.
对呼吸计量法应用于校准ASM1作了简明的阐述。在呼吸速率与模型组分关系的基础上,介绍了ASM1中废水与污泥各组分浓度的测定方法,并指出模型组分细化的意义。 相似文献
9.
主成份分析法在大气环境质量综合评价中的应用 总被引:16,自引:1,他引:16
介绍了主成份分析法评价大气环境质量的基本原理,并对某市的大气环境质量进行了综合评价。最后,与其它方法的评价结果进行了对比分析,进一步证实了主成份分析法的科学性、合理性。 相似文献
10.