污水处理厂不同工艺的污泥脱水效能分析及其影响因素研究

污泥脱水是污泥减量的主要手段,直接影响到后续污泥处理处置.本研究以北京某大型污水处理厂A2/O工艺和A2/O-MBR工艺污泥脱水为对象,基于2013年全年的运行数据,分析不同工艺的污泥脱水效果、絮凝剂投配率、污泥脱水电耗和污泥脱水成本,并通过冗余分析(RDA)研究了不同污水处理工艺污泥脱水性能的影响因素.结果表明,污泥脱水性能和絮凝剂投配率均呈现季节性变化特征,冬季污泥较难脱水,絮凝剂消耗大.A2/O-MBR工艺的脱水污泥含水率年均值为(81.92±1.64)%,A2/O工艺为(82.56±1.35)%,污泥脱水絮凝剂消耗(以DS计,下同)分别为(8.70±7.25)kg·t-1和(7.42±2.96)kg·t-1,电耗(以DS计,下同)分别为331.82 k W·h·t-1和121.57 k W·h·t-1.A2/O-MBR工艺的污泥脱水絮凝剂成本(以DS计,下同)为204.76元·t-1,用电成本为231.61元·t-1;A2/O工艺的污泥脱水絮凝剂成本为175.00元·t-1,用电成本为84.86元·t-1.RDA分析表明,水温等季节性因素引起污泥有机质变化是影响污泥脱水性能的关键因素之一,此外,污泥龄也与污泥脱水性能有一定相关性.     

常州夏冬季PM2.5中无机组分昼夜变化特征与来源解析

为探讨常州大气气溶胶中无机组分的昼夜变化特征,在夏冬两季分别连续采集1个月的PM2.5样品,对比分析了11种水溶性离子和13种重金属元素的昼夜特征和来源.结果表明,夏冬两季PM2.5平均质量浓度白天高于夜间,水溶性离子占比夜间稍高于白天.冬季水溶性离子占PM2.5的比例(44%~45%)高于夏季(31%~36%),而重金属元素呈现相反的季节性特征(冬季白天3.03%,夜间2.29%;夏季白天4.40%,夜间4.51%).SO_4~(2-)、NO_3~-、NH_4~+是主要的二次离子,占总水溶性离子77%~85%,说明常州市大气污染呈二次污染为主的复合污染特征.夏季强太阳辐射的光化学反应导致白天SO_4~(2-)占比(49.0%)稍高于夜间(41.1%),而白天高温NH_4NO_3分解,使NO_3~-浓度白天(1.98μg·m-3)远低于夜间(5.10μg·m-3).NH_4~+与SO_4~(2-)、NO_3~-之间好的线性相关性及预测NH_4~+与实测NH_4~+的比值接近1,表明NH_4~+主要以(NH4)2SO4,NH_4NO_3和NH4Cl形态存在.离子平衡表明夏季颗粒物呈弱碱性,冬季呈中性.Fe、Al和Zn这3种重金属元素占比最大,Fe和Al元素白天占比明显高于夜间,Zn正好相反.无机组分相关性及主成分分析表明,无机组分都来自二次生成、扬尘和交通等排放源,表现一定的季节性和昼夜变化特征.     

2012~2013年间北京市PM2.5中水溶性离子时空分布规律及相关性分析

2012年8月~2013年7月,在北京市包括城市背景、城区、郊区以及边界传输点在内的9个监测点位进行大气细颗粒物PM2.5样品的采集与分析,共获得486个有效样本及9种水溶性离子的质量浓度.观测期间9种水溶性离子总质量浓度为60.5μg·m-3,浓度水平高低顺序分别为NO-3SO2-4NH+-4Cl-Na+K+Ca2+F-Mg2+;其中SO2-4、NO-3和NH+4(三者简称SNA)占全部所测水溶性离子的88%;NO-3是全年波动范围最大的二次离子.对所测阴、阳离子相关性研究发现,阴、阳离子总体相关性良好,春、冬季阴、阳离子相关性要好于夏、秋季.对不同颗粒质量级别中的水溶性离子研究发现,SNA积累活跃,相对于SO2-4的积累,NO-3和NH+4在二次离子的形成过程中占据主导地位;NO-3是重污染过程累积效应比较明显且贡献相对较高的二次离子.     

崇明东滩不同部位的季节性沉积研究

2002年4月至2003年4月，通过对崇明东滩南部、中部和北部的标志桩观测以及实地观测分析，发现崇明东滩在一年中不同季节冲淤变化过程存在很大差异：春季到夏季，南部以冲刷为主，中部和北部以淤积为主；夏季到秋季，南部和中部以淤积为主，北部表现为冲刷；秋季到冬季，南部、中部和北部都以冲刷为主；头一年冬季到次年春季，南部和北部以淤积为主，中部则表现为冲刷。在同一观测路线上，不同季节高、中、低潮滩冲淤也存在一定差异。通过对沉积物粒度、水体含沙量等指标的测试，并借助潮差等资料，探究了影响潮滩季节性沉积的因素，发现潮滩季节性沉积与潮滩基础地貌、水体含沙量、水动力、潮流等有密切关系；但在不同部位不同季节，各因素对潮滩冲淤影响程度各不相同。     

Seasonal variation of total dissolved arsenic and arsenic speciation in a polluted surface waterway

Seasonal differences in the dissolved arsenic concentration and speciation in a contaminated urban waterway in northwest England have been determined using a coupled ion chromatography-inductively coupled plasma-mass spectrometry (IC-ICP-MS) technique. Waters sampled in the vicinity of an industrial works during relatively dry conditions in April 2000 were found to contain total arsenic concentrations (As) of up to 132 g L^–1, more than an order magnitude greater than the 4 g L^–1 maximum found in December 2000. The difference in As between the April and December sampling periods is speculated to be largely due to the irregular anthropogenic supply of arsenic to the watercourse. For both sampling periods, the dissolved arsenic was exclusively inorganic in nature and had an As(V)/As ratio of between 0.6 and 0.8. Analysis of samples taken downstream of the industrial site, after the confluence with a relatively As-poor stream, revealed that As(III), As(V) and As concentrations were lower than would be expected from conservative mixing. The As(V)/As ratio was also observed to decrease markedly. The loss of arsenic from solution is thought to be due to adsorption on the iron oxyhydroxide-rich sediment observed to coat the riverbed downstream of the confluence. The reduction in the As(V)/As ratio is believed to be due to the more rapid adsorption of As(V) compared to that of As(III). Deviations from conservative behaviour were more marked during the relatively dry April 2000 sampling period and suggest the increased importance of adsorption processes controlling arsenic availability during this time.     

广东省雾霾天气能见度的时空特征分析Ⅰ:季节变化

雾霾已经成为一种新的气象及环境灾害性现象,分析雾霾天气下低能见度的时空分布特征,对掌握雾霾的发生规律和减灾预报具有重要意义。文章利用1980—2003年广东省沿海地区26个地面气象观测站23年的气象观测资料,分析了广东省雾霾天气下能见度的时空分布特征。分析结果发现,1980—2003年广东地区雾霾天气下能见度的季节变化规律与雾天气时能见度的季节变化规律大体一致,即广东地区低能见度天气主要受雾天气的影响;另一方面,雾、霾天气时能见度的季节变化规律有很大不同,雾天气时能见度观测值在冬、春两季相对较高,最低值出现在3月份,最高值出现在9月份,其年变化表现为峰—谷型、稳定型和不规则波动型三种变化;霾天气时能见度的值在秋、冬两季相对较高,最低值出现在6月份,而且在5、6、7三个月中能见度值都很低;受广东沿海地形特征影响,雾天能见度的空间分布从西到东呈低—高—低—高的波列状分布,而霾天气时能见度的空间分布则没有明显的区域差异。     

Brazil's Electric Power Choices and Their Corresponding Carbon Emissions Implications

This study analyzes the options for meeting power demand in the Brazilianpower sector through the year 2015. Three policy cases are constructedto test economic and environmental policy measures against a baseline:advanced technologies scenario, environmental control scenario and carbon(C) elimination scenario. Least-cost modeling simulated these scenarios throughchanges in emissions fees and caps, costs for advanced technologies,demand side efficiency, and clean energy supplies. Results show that, in theabsence of alternative policies, new additions to Brazil's electric powersector will shift rapidly from hydroelectricity to combined-cycle natural gasplants. When the cost of environmental impacts are incorporated in theprice of power, the least-cost mix of electric power generation technologycould change in other ways. In all scenarios, energy efficiency andcogeneration play an important role in the least-cost power solution. Savingelectricity through increased efficiency offsets the needs for new supply andhas enormous potential in Brazil's industrial sector. Efficiency also reducesthe environmental burden associated with electricity production andtransmission, without compromising the quality of the services demandedby end users. Interesting enough, carbon dioxide (CO₂) emissions will remainrelatively low under almost every conceivable scenario.     

Analysis of heavy metal distribution in superficial estuarine sediments (estuary of Bilbao, Basque Country) by open-focused microwave-assisted extraction and ICP-OES

Open-focused microwave-assisted extraction and ICP-OES determination of As, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn from surface sediments of the estuary of Bilbao (Basque Country, North of Spain) was carried out. All the samples were collected at three different tributaries of the estuary (Asua, Galindo and Nerbioi-Ibaizabal) every two months during 1999. The digestion procedure was proposed from the conclusions of a fractionated factorial design, and the precision and accuracy of the method was verified using a certified reference sediment (RTC008-050). The results of the analysis were statistically treated by means of principal component analysis and correlation analysis. The principal component analysis of sediment data (32 samples × 9 metals) indicated different patterns of contamination regarding the tributary and sampling station. The two main patterns observed were a steady increment of the metal concentration along all the campaigns in the samples collected in the Galindo River and a seasonal variation in the Nerbioi-Ibaizabal River, with higher metallic content during summertime and lower content during wintertime.