分段进水两级A/O工艺对白酒废水的强化处理效果

为有效控制白酒废水中高质量浓度NH₄+-N对A/O系统冲击引起的出水水质超标问题,分析比较单级A/O工艺和分段进水两级A/O工艺[进水时间（以min计）分配比为7:3]对白酒废水的处理效果.结果表明:与单级A/O工艺相比,分段进水两级A/O工艺出水中ρ（NH₄+-N）、ρ（NO₂--N）、ρ（NO₃--N）和ρ（COD_Cr）均显著降低,其平均去除率分别提高了16.9%、43.2%、49.7%和8%.分段进水两级A/O工艺的二次进水能够为短程硝化反硝化的进行提供有效碳源和NH₄+-N等,为NO₂--N和NO₃--N等去除提供了有利条件;同时,它通过促进对系统内碳源的利用以及NO₂--N的去除,进一步降低了出水中ρ（COD_Cr）.此外,分段进水两级A/O工艺通过降低NH₄+-N和NO₂--N等污染物质量浓度,也能有效减弱其对氨氧化菌和亚硝酸盐氧化菌等微生物的抑制作用,为后续好氧阶段含氮污染物的去除奠定基础.但是,分段进水两级A/O工艺对白酒废水中PO₄3-的去除效果有限,这主要是因为第二阶段的NO₂--N存在使反应系统处于缺氧环境,同时在碳源不充足的情况下,导致聚磷微生物释磷不充分,降低了第二好氧段的吸磷动力.研究显示,分段进水两级A/O工艺能够有效强化白酒废水中三态氮和COD_Cr的降解去除.      

Long-term observations of tropospheric NO2, SO2 and HCHO by MAX-DOAS in Yangtze River Delta area, China

Yangtze River Delta(YRD) area is one of the important economic zones in China. However,this area faces increasing environmental problems. In this study, we use ground-based multi-axis differential optical absorption spectroscopy(MAX-DOAS) network in Eastern China to retrieve variations of NO_2, SO_2, and formaldehyde(HCHO) in the YRD area. Three cities of YRD(Hefei, Nanjing, and Shanghai) were selected for long-term observations. This paper presents technical performance and characteristics of instruments, their distribution in YRD, and results of vertical column densities(VCDs) and profiles of NO_2, SO_2, and HCHO.Average diurnal variations of tropospheric NO_2 and SO_2 in different seasons over the three stations yielded minimum values at noon or in the early afternoon, whereas tropospheric HCHO reached the maximum during midday hours. Slight reduction of the pollutants in weekends occurred in all the three sites. In general trace gas concentrations gradually reduced from Shanghai to Hefei. Tropospheric VCDs of NO_2, SO_2, and HCHO were compared with those from Ozone Monitoring Instrument(OMI) satellite observations, resulting in R~2 of 0.606, 0.5432, and 0.5566, respectively. According to analysis of regional transports of pollutants, pollution process happened in YRD under the north wind with the pollution dissipating in the southeast wind. The feature is significant in exploring transport of tropospheric trace gas pollution in YRD, and provides basis for satellite and model validation.     

Insights into the formation of secondary organic carbon in the summertime in urban Shanghai

To investigate formation mechanisms of secondary organic carbon(SOC) in Eastern China,measurements were conducted in an urban site in Shanghai in the summer of 2015. A period of high O_3 concentrations(daily peak 120 ppb) was observed, during which daily maximum SOC concentrations exceeding 9.0 μg/(C·m~3). Diurnal variations of SOC concentration and SOC/organic carbon(OC) ratio exhibited both daytime and nighttime peaks. The SOC concentrations correlated well with O_x(= O_3+ NO_2) and relative humidity in the daytime and nighttime, respectively, suggesting that secondary organic aerosol formation in Shanghai is driven by both photochemical production and aqueous phase reactions. Single particle mass spectrometry was used to examine the formation pathways of SOC. Along with the daytime increase of SOC, the number fraction of elemental carbon(EC) particles coated with OC quickly increased from 38.1% to 61.9% in the size range of 250–2000 nm, which was likely due to gas-to-particle partitioning of photochemically generated semi-volatile organic compounds onto EC particles. In the nighttime, particles rich in OC components were highly hygroscopic, and number fraction of these particles correlated well with relative humidity and SOC/OC nocturnal peaks. Meanwhile, as an aqueous-phase SOC tracer, particles that contained oxalate-Fe(III) complex also peaked at night. These observations suggested that aqueous-phase processes had an important contribution to the SOC nighttime formation. The influence of aerosol acidity on SOC formation was studied by both bulk and single particle level measurements, suggesting that the aqueous-phase formation of SOC was enhanced by particle acidity.     

金属软管爆裂失效分析

某厂压缩机出口管线处金属软管的设计压力为6.3 MPa,试压时金属软管接头与接头套处发生爆裂,爆裂压力为4.2 MPa。通过对金属软管爆裂处进行宏观检查与测厚、化学成分分析、断口分析、X射线能谱分析以及焊接形式分析,判定金属软管爆裂的主要原因是活套法兰侧接头与波纹管连接焊缝结构不合理导致焊缝承载能力不足,焊缝存在严重未焊透、焊材选用不合理,进一步导致了焊缝承载能力的下降。最后,提出了针对性预防措施。     

基于SARIMA模型和普通Kriging法对杭州市主城区PM2.5短期预测和制图

基于SARIMA模型对杭州市主城区内的7个站点和周边3个站点的PM_(2.5)浓度进行4 h平均的短期预报,并利用普通Kriging法对杭州市主城区PM_(2.5)进行空间插值和制图.在建立SARIMA模型时,用批量自动化的方法,使用R语言编程对夏季和冬季各360期的数据进行SARIMA(p,d,q)×(P,D,Q)6模型的参数的确定和拟合,来预测下一期的值.在10个站点分别进行120期的预测,做出真实与预测的时间序列图,在精度分析中,夏季和冬季PM_(2.5)浓度总体的平均绝对误差(MAE)分别为8.4μg·m~(-3)和14.8μg·m~(-3).在Arc GIS中,对每期的数据使用普通Kriging法,用球面模型拟合半变异函数,决定各个站点的权重,来对杭州市区内未知空间样点进行插值,最后生成完整的杭州市主城区PM_(2.5)短期预测图.本研究创新性地将SARIMA模型广义化运用到小尺度时间序列中,预报效果较好,并且批量自动化预测和制图的方法,可为今后的预测制图产品化提供技术支持.     

浑河流域底质类型对硅藻群落分布特征的影响

河流底质可以为硅藻提供附着的基质,不同的底质类型对硅藻群落结构有一定的影响.本研究对浑河流域上23个采样点位进行调查研究,并运用多响应置换过程、典范对应性分析、线性回归分析等,分析河流底质类型对硅藻群落的影响.多响应置换过程结果显示,苏子河、红河和英额河、浑河中游及浑河下游水系之间硅藻群落空间差异显著;香农多样性指数、均匀度指数与物种丰富度的平均值分别为2.57、0.69和15;典范对应性分析结果显示,IOS指数、电导率、总氮和总磷是显著影响硅藻群落结构的环境因子;相关分析结果显示,香农多样性指数、均匀度指数和物种丰富度与IOS指数呈正相关.本研究中,河流底质类型为大石块、鹅卵石等类型时,硅藻多样性较高;而底质类型为淤泥和细沙时,硅藻多样性较低.     

典型绿洲不同土壤类型有机碳含量及其稳定碳同位素分布特征

土壤有机碳及其稳定同位素组成反映了生态系统碳循环的关键信息,对研究全球变化下陆地生态系统碳动态及碳资源的可持续发展具有重要意义.本研究以阿拉尔绿洲4种土壤类型为研究对象,测定不同深度土壤有机碳(SOC)含量和δ~(13)C值,探讨不同土壤类型有机碳分布、δ~(13)C_(SOC)丰度差异及其与土壤环境因子的关系.结果表明:(1)土壤整体有机碳含量由高到低依次为灌漠土、棕漠土、盐土、风沙土,且在表层(0~20 cm层)具有较大值;δ~(13)C_(SOC)变化范围在-26‰~-23‰,表层(0~20 cm)由正趋负为盐土风沙土灌漠土棕漠土.(2)土壤有机碳含量受土壤类型、深度及其交互作用极显著影响,δ~(13)C_(SOC)受土壤类型、交互作用显著影响;进一步交互效应检验中土壤有机碳受因素水平影响极强,同位素相对较弱.(3)冗余分析发现土壤有机碳与土壤无机碳、全氮、土壤含水量、容重均存在显著或极显著正相关关系,与C/N具有显著负相关关系;δ13CSOC与电导率存在显著正相关关系,与土壤无机碳、土壤含水量均存在极显著负相关关系.土壤环境因子的重要性排序为土壤含水量土壤无机碳容重全氮C/N电导率pH.分析得出土壤有机碳及其同位素在不同土壤类型中呈现出不同变化规律,其土壤类型的效应强于土壤深度,受土壤含水量影响最甚.     

溶菌酶和硫酸铝联用优化污泥脱水性能的研究

以污泥沉降体积、污泥比阻和污泥泥饼含水率为指标,考察了溶菌酶和硫酸铝联用时加药方式和加药剂量对活性污泥沉降性能及脱水性能的影响。结果表明,先投加溶菌酶后投加硫酸铝时污泥的脱水性能更佳,硫酸铝和溶菌酶的最佳投加量均为0.10 g/g TS(总固体),此时,污泥泥饼含水率和污泥比阻分别可达71.84%和0.68×1012m/kg,相比于硫酸铝单独调理分别降低了约5%和0.23×1012m/kg。污泥胞外聚合物(EPS)含量分析表明,溶菌酶和硫酸铝联用时显著降低了污泥中LB-EPS(松散附着性EPS)含量,在最佳投量下可将原污泥的LB-EPS中的蛋白质和多糖依次从(13.44±2.11)mg/L和(23.97±3.44)mg/L降至(1.72±0.32)mg/L和(8.69±0.15)mg/L,表明联合处理使得EPS中的水分得到释放,提高了脱水性能。     

基于眼动试验的煤矿禁止类安全标识位置有效性研究

安全标识作为一种安全管理手段已得到普遍应用,但在煤炭企业实际应用中并未完全发挥其应有作用。为了研究煤矿禁止类安全标识放置的有效性,首先,通过构建眼动试验平台进行试验,选取煤矿井下皮带运输、井口等图片作为模拟场景;其次,将场景中安全标识区域作为兴趣区域,采集不同被试的注视点个数、首次进入时间等数据;最后,运用SPSS 20.0软件和统计方法分析试验采集的数据。结果表明,安全标识有效的设置位置为编号(2)(上中)和编号(5)(正中)。     

基于模糊物元的工业园区空气质量评价模型

针对工业园区空气质量的复杂性和模糊性,利用模糊物元分析理论,结合海明贴近度的概念,建立了一种基于模糊物元的空气质量评价模型。以金山二工区为例,选取《环境空气质量标准》规定的6种主要污染物SO2、NO2、CO、O3、PM10、PM2.5作为评价指标,分析了园区内5个自动监测站2016年7月1日的环境空气质量状况,并与空气质量指数(AQI)技术分析结果作比较。两种方法的评价结果基本一致,与实际状况相符。