杭州大气颗粒物散射消光特性及霾天气污染特征

2011年7月~2012年6月期间,对大气散射系数、颗粒物浓度及气象因子进行同步观测,以评估颗粒物散射消光对杭州市大气能见度的影响.结果表明,杭州市大气颗粒物散射系数日均值变化范围为108.4~1 098.1 Mm-1,年均值为428.62Mm-1±200.2 Mm-1.散射系数呈明显的季节变化,秋冬高,夏季低.日变化呈典型的双峰型,早峰出现在08:00,晚峰出现在21:00.PM2.5和PM10的散射效率分别为7.6 m2·g-1和4.4 m2·g-1,颗粒物散射消光占总消光比例的90.2%.灰霾和重度灰霾天气下,散射系数分别为684.4 Mm-1±218.1 Mm-1和1 095.4 Mm-1±397.7 Mm-1,达到非霾天气的2.6和4.2倍,表明颗粒物散射消光作用是导致杭州市大气能见度下降和灰霾天气发生的主要因素.     

扬州市不同行政区域空气重金属污染评价

采用活藓监测法,选择广泛分布的小羽藓为材料,对扬州市区、高邮市、仪征市、宝应县4个区域空气中Pb、Zn、Cd、Cr、Ni、Zn、Hg 7种重金属元素污染情况进行监测.利用污染因子分析法、内梅罗综合指数分析法及重金属污染潜在生态风险评价法对不同区域空气重金属危害等级进行评价.结果表明:Zn、Pb、Cd元素主要污染地区为扬州市区,Cu元素主要污染地区为仪征市,Ni、Hg元素主要污染地区为宝应县,Cr元素主要污染地区为高邮市.4个区域空气重金属均处于重度污染水平,存在强生态风险.就整体而言,7种重金属元素中Cd、Zn、Hg为主要污染元素,污染情况最为严重,而Cu、Ni污染程度相对较轻.区域间空气重金属污染特征差别显著,制造业与港口航运发达的南部仪征市、江都区等地比以农业为主的北部宝应县污染重,污染程度由高到低为扬州市区仪征市高邮市宝应县.     

基于本地污染源调查的杭州市大气污染物排放清单研究

基于实地调查数据并辅以统计数据,采用物料衡算法和排放因子法,估算了杭州市2015年大气污染物排放清单,并选取经纬度坐标、路网、航道、土地类型和人口等数据作为权重因子,研究了该地区各类排放源污染物排放空间分布特征.结果表明,杭州市2015年SO_2、NO_x、CO、VOCs、PM_(10)、PM_(2.5)和NH_3年排放总量分别为22.20×10~3、108.17×10~3、192.10×10~3、134.94×10~3、78.12×10~3、27.65×10~3和59.75×10~3t.工业源是杭州市SO_2排放的主要来源,移动源对NO_x和CO的排放贡献最为显著,扬尘源是杭州市PM_(10)和PM_(2.5)排放的最主要来源,其次为工业源;VOCs排放的主要来源依次为工业源、天然源和移动源;NH_3排放主要来自农业源.从空间分布来看,排放主要集中在中心城区及其周边的萧山、下沙、大江东、余杭和富阳等工业企业相对密集的区域.本研究建立的排放清单在污染源覆盖范围和排放因子方面仍然存在一定的不确定性,建议在后续研究中重点开展低、小、散企业及本地化排放因子调查研究工作,进一步提升大气污染物排放清单的准确度.     

Seasonal and particle size-dependent variations in gas/particle partitioning of PCDD/Fs

This study monitored particle size-dependent variations in atmospheric polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs). Two gas/particle partitioning models, the subcooled liquid vapor pressure (P(L)(0)) and the octanol-air partition coefficient (K(OA)) model, were applied to each particle sizes. The regression coefficients of each fraction against the gas/particle partition coefficient (K(P)) were similar for separated particles within the same sample set but differed for particles collected during different periods. Gas/particle partitioning calculated from the integral of fractions was similar to that of size-segregated particles and previously measured bulk values. Despite the different behaviors and production mechanisms of atmospheric particles of different sizes, PCDD/F partitioning of each size range was controlled by meteorological conditions such as atmospheric temperature, O(3) and UV, which reflects no source related with certain particle size ranges but mixed urban sources within this city. Our observations emphasize that when assessing environmental and health effects, the movement of PCDD/Fs in air should be considered in conjunction with particle size in addition to the bulk aerosol.     

Influence of start-up on PCDD/F emission of incinerators

This study aims to evaluate the influence of start-up on polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) concentration in the stack flue gas of incinerators and its contributing PCDD/F emission. The PCDD/F emission of the first sample among three consecutive stack flue gas samples of five intermittent incinerators, which sampled at a stable combustion condition after start-up, is 2-3 times higher than the mean of the others. For verifying the PCDD/F characteristics of incinerators during start-up, one continuous MSWI was investigated for two years. The elevated PCDD/F emissions of the MSWI during start-up could reach 96.9 ng I-TEQN m(-3) and still maintained a high PCDD/F emission (40 times higher than the Taiwan emission limit) even 18 h after the injection of activated carbon, indicating the memory effect. Taking the MSWI for example, which consists of four incinerators, the estimated annual PCDD/F emission from normal operational conditions was 0.112 g I-TEQ. However, one start-up procedure can generate approximately 60% of the PCDD/F emissions for one whole year of normal operations. And the PCDD/F emission, which is the result of the start-ups of four incinerators, was at least two times larger than that of a whole year's normal operations, without consideration for the PCDD/F emission contributed by the long lasting memory effect.     

Remediation of soil contaminated with pyrene using ground nanoscale zero-valent iron

The sites contaminated with recalcitrant polycyclic aromatic hydrocarbons (PAHs) are serious environmental problems ubiquitously. Some PAHs have proven to be carcinogenic and hazardous. Therefore, the innovative PAH in situ remediation technologies have to be developed instantaneously. Recently, the nanoscale zero-valent iron (ZVI) particles have been successfully applied for dechlorination of organic pollutants in water, yet little research has investigated for the soil remediation so far. The objective in this work was to take advantage of nanoscale ZVI particles to remove PAHs in soil. The experimental factors such as reaction time, particle diameter and iron dosage and surface area were considered and optimized. From the results, both microscale and nanoscale ZVI were capable to remove the target compound. The higher removal efficiencies of nanoscale ZVI particles were obtained because the specific surface areas were about several dozens larger than that of commercially microscale ZVI particles. The optimal parameters were observed as 0.2 g iron/2 mL water in 60 min and 150 rpm by nanoscale ZVI. Additionally, the results proved that nanoscale ZVI particles are a promising technology for soil remediation and are encouraged in the near future environmental applications. Additionally, the empirical equation developed for pyrene removal efficiency provided the good explanation of reaction behavior. Ultimately, the calculated values by this equation were in a good agreement with the experimental data.     

Anaerobic degradation of nonylphenol in soil

This study investigated the effects of various factors on the anaerobic degradation of nonylphenol (NP) in soil. The results show that the optimal pH for NP degradation was 7.0 and that the degradation rate was enhanced when the temperature was increased. The addition of compost enhanced NP degradation. The individual addition of the electron donors lactate, acetate, and pyruvate inhibited NP degradation. The high-to-low order of NP degradation rates under three anaerobic conditions was sulfate-reducing conditions > methanogenic conditions > nitrate-reducing conditions. The results show that sulfate-reducing bacteria, methanogen, and eubacteria are involved in the anaerobic degradation of NP, with sulfate-reducing bacteria being a major component of the soil. Of the anaerobic strains isolated from the soil samples, strain AT3 expressed the best ability to biodegrade NP.     

Aerobic degradation of bisphenol A by Achromobacter xylosoxidans strain B-16 isolated from compost leachate of municipal solid waste

A novel bacterium designated strain B-16 was isolated from the compost leachate of the municipal solid waste (MSW) in a laboratory reactor. This strain was identified as a gram-negative bacterium, Achromobacter xylosoxidans that could grow on bisphenol A (BPA, a representative endocrine disruptor) as a sole carbon source under aerobic condition. BPA-degrading characteristics of strain B-16 were investigated in liquid cultures. The results show that BPA degradation was influenced by several factors (e.g. inoculum size, substrate concentration, temperature and pH, etc). The half-lives, optimum temperature and pH were found to be 0.58-3.1d, 35 degrees C and 7.0, respectively. BPA-degrading activity and cell growth were inhibited at high substrate concentration. Metabolic intermediates detected during the degradation process were identified as p-hydroxybenzaldehyde, p-hydroxybenzoic acid and p-hydroquinone, respectively. Metabolic pathway of BPA degradation was proposed in this study.     

Performance of an electrochemical COD (chemical oxygen demand) sensor with an electrode-surface grinding unit

An electrochemical COD (chemical oxygen demand) sensor using an electrode-surface grinding unit was investigated. The electrolyzing (oxidizing) action of copper on an organic species was used as the basis of the COD measuring sensor. Using a simple three-electrode cell and a surface grinding unit, the organic species is activated by the catalytic action of copper and oxidized at a working electrode, poised at a positive potential. When synthetic wastewater was fed into the system, the measured Coulombic yields were found to be dependent on the COD of the synthetic wastewater. A linear correlation between the Coulombic yields and the COD of the synthetic wastewater was established (10-1000 mg L(-1)) when the electrode-surface grinding procedure was activated briefly at 8 h intervals. When various kinds of wastewater samples obtained from various sewage treatment plants were measured, linear correlations (r(2)> or = 0.92) between the measured EOD (electrochemical oxygen demand) value and COD of the samples were observed. At a practical wastewater treatment plant, the measurement system was successfully operated with high accuracy and good stability over 3 months. These experimental results show that the application of the measurement system would be a rapid and practical method for the determination of COD in water industries.     

Minimax regret optimization analysis for a regional solid waste management system

Solid waste management (SWM) facilities are crucial for environmental management and public health in urban regions. Due to the waste management hierarchy, one of the greatest challenges that organizations face today is to figure out how to diversify the treatment options, increase the reliability of infrastructure systems, and leverage the redistribution of waste streams among incineration, compost, recycling, and other facilities to their competitive advantage region wide. Systems analysis plays an important role for regionalization assessment of integrated SWM systems, leading to provide decision makers with break-through insights and risk-informed strategies. This paper aims to apply a minimax regret optimization analysis for improving SWM strategies in the Lower Rio Grande Valley (LRGV), an economically fast growing region in the US. Based on different environmental, economic, legal, and social conditions, event-based simulation in the first stage links estimated waste streams in major cities in LRGV with possible solid waste management alternatives. The optimization analysis in the second stage emphasizes the trade-offs and associated regret evaluation with respect to predetermined scenarios. Such optimization analyses with multiple criteria have featured notable successes, either by public or private efforts, in diverting recyclables, green waste, yard waste, and biosolids from the municipal solid waste streams to upcoming waste-to-energy, composting, and recycling facilities. Model outputs may link prescribed regret scenarios in decision making with various scales of regionalization policies. The insights drawn from the system-oriented, forward-looking, and preventative study can eventually help decision-makers and stakeholders gain a scientific understanding of the consequences of short-term and long-term decisions relating to sustainable SWM in the fast-growing US-Mexico borderland.