微孔曝气器孔径与运行气量对微孔曝气氧传质的影响研究

曝气是污水生物处理最重要的单元之一,也是能耗最高的单元,微孔曝气氧传质影响因素的探究一直是污水处理领域的研究热点。微孔曝气器的孔径与其运行气量是影响微孔曝气氧传质的重要因素。在1.5m水深条件下对不同孔径的钟罩型刚玉微孔曝气器在不同运行气量条件下的充氧性能进行了评价。结果表明,随微孔曝气器孔径增大,标准氧总转移系数(KLas)、标准氧转移速率(SOTR)、阻力损失(RL)、标准氧转移效率(SOTE)及理论动力效率(SAE)减小;随运行气量增大,KLas、SOTR、RL显著增大,而SAE、SOTE减小。     

膜孔参数及表面活性剂对微孔曝气器充氧性能的影响研究

污水处理厂曝气设备的性能及水质条件是影响曝气充氧性能的重要因素,比较了清水及不同表面活性剂浓度下橡胶膜曝气器的曝气充氧性能,以标准氧传质效率(SOTE)为评价指标,得出了不同工况及膜孔参数下曝气充氧性能的变化规律。结果表明:在清水条件下,SOTE随着通气量、膜孔间距、膜孔孔径的增大而降低;表面活性剂条件下的SOTE(αSOTE)随着表面活性剂浓度的增大而降低;修正系数(α,αSOTE与SOTE的比值)随着膜孔孔径的增大而增大,膜孔孔径越小,表面活性剂对橡胶膜曝气器充氧性能的抑制作用越大。     

污水厂生物处理单元工艺状态下曝气性能测定与评价

以上海竹园第二污水处理厂2号生物好氧处理单元为研究对象,采用工艺状态曝气充氧性能测定仪对曝气器性能进行现场测定,通过核算氧利用率、曝气均匀性指数、曝气效率综合影响因子等指标,评价该厂曝气器日常运行状态,分析曝气系统在控制上的不足,并针对性地提出优化方案。结果表明,工艺状态下曝气器氧利用率与清水条件下相比下降19.22%~23.78%,曝气均匀性指数在0.80~1.34的范围内,曝气效率综合影响因子偏低,充分表明2号生物好氧处理单元部分曝气器存在污染或老化的问题。该厂的曝气系统具有较大的优化潜力,性能评价结果可以为曝气器科学管理维护及水厂的运行优化提供指导。     

曝气密度对曝气系统充氧性能的影响研究

曝气密度(即曝气面积占曝气系统服务总面积的比率)是曝气系统重要的参数之一。以标准氧总转移系数作为评价指标,在小试装置中对不同曝气密度的曝气系统充氧性能进行评价。结果表明:(1)曝气系统标准氧总转移系数随曝气密度增大而显著增大,但同时需要考虑到曝气系统的微孔曝气器布置方式;(2)相同气量下,曝气系统的气泡直径与气泡运动速度随曝气密度增大而减小,气泡停留时间和气含率随曝气密度增大而增大。     

孔口分布及空气流速对充氧性能的影响

实验采用鼓风曝气,改变曝气量,研究孔口分布及空气流速对清水充氧性能的影响。通过考察氧总转移系数KLa(20)、充氧能力N0和氧转移效率E3项指标,得出该曝气设备的最佳运行条件:在曝气量为9 m3/h时,选用曝气器B进行曝气。这样可以得到较高的KLa(20)(1.816 h-1)、N0(0.105 kg/h)和E(4.151%),为曝气设备的实际应用提供参考。     

微孔曝气器脉冲式充氧效果

针对生化池连续曝气过程中氧转移率低的问题,结合污水处理中的实际情况,提出了盘式微孔曝气器脉冲式充氧方法来提高氧的转移率。通过4组不同类型的盘式微孔曝气器分别在脉冲式和连续曝气下的实验对比发现,脉冲式曝气产生的是气泡簇,对生成的气泡进行图像统计分析,得出同一区域范围内脉冲式曝气生成的气泡数量多、平均直径小。实验数据分析显示,脉冲式曝气达到氧饱和所需的时间较连续曝气方式增加了10%左右,但氧的利用率增加了50%以上,且动力效率提高了28%以上。脉冲式曝气方式大幅度提高了氧的利用率,节约能耗的同时具有更好的充氧效果,为活性污泥好氧生化处理系统工艺提供了新的研究思路。     

曝气器工业化性能测试研究

对7种曝气器产品分别进行了单盘耐用性生产试验、单盘清水充氧性能试验以及对在大生产试验期间的服务面积、供气量、阻力变化、停气后阻力变化、曝气强度等方面进行了测试对比工作。试验表明,中微孔曝气器的各种性能指标明显优于大孔曝气器,可显著提高混合液中氧的吸收率。     

曝气器工业化性能测试研究

对7种曝气器产品分别进行了单盘耐用性生产试验，单盘清水充氧性能试验以及对在大生产试验期间的服务面积，供气量，阻力变化，停气后阻力变化、曝气强度等方面进行了测试对比工作。试验表明，中微孔曝气器的各种性能指标明显优于大孔曝气器，可显著提高混合液中氧的吸收率。     

几种倒伞型表面曝气机的充氧性能

对安徽某科技公司产自行研究的几种倒伞型表面曝气器的充氧性能进行模拟比较研究,利用合肥某氧化沟装置在清水条件下对各叶轮的氧总转移系数KLa、理论充氧能力qc、理论动力效率E及水体流速v进行了测试,对比分析了叶片安装角度、片数及叶片设计对充氧能力的影响。结果表明,叶片导流辐板斜角设计对充氧效率影响最大,是叶轮性能提升最关键因素。     

两种曝气设备的清水曝气充氧实验研究

根据清水充氧实验计算,比较了微孔雾化软管曝气和射流曝气的充氧动力效率和氧利用率.以及后续实验的结果,最终得出微孔曝气软管曝气是高效节能的河流整治方法.     

污泥浓度对微孔曝气氧传质过程的影响

污泥浓度是影响微孔曝气氧传质过程的重要因素之一。在小试及中试规模上，研究了不同污泥浓度对微孔曝气氧传质过程的影响，得出曝气性能随污泥浓度的变化规律。结果表明，当污泥浓度低于2000mg／L时，曝气性能随浓度的增大而增强，在2000～3000mg／L时，KLa达到最大值；当污泥浓度大于2000～3000mg／L时，曝气性能随污泥浓度增大而降低，当污泥浓度大于5000mg／L时，曝气性能急剧降低。这一规律对于在设计和运行中合理确定污水处理中的污泥浓度，在达到处理效果的前提下，尽量降低电耗具有重要意义。     

The Denver Winter Aerosol: A Comprehensive Chemical Characterization

The sampling and chemical analysis of the ambient aerosol collected in Denver, CO, for a 40-day period during November and December, 1978 are described in this report. Parameters included 12-hr TSP measurements, 24-hr respirable and inhalable mass measurements, and 4-hr measurements of mass and chemical species (NO₃?, SO₄ =, NH₄ +, organic and elemental carbon as well as 13 chemical elements) in two size fractions i.e., less than 2.5 μm diameter (fine fraction) and larger than 2.5 μm diameter (coarse fraction). On the basis of the chemical analyses, it was possible to account for all particulate mass in both size fractions. In the fine fraction, the major constituents were organic carbon (21.6%), NH₄NO₃ (20.0%), elemental carbon (15.3%), (NH₄)₂SO₄ (13.6%), and the remainder consisted primarily of soil-like material, lead salts, and adsorbed water. Three quarters of the coarse fraction consisted of soil-like material, with the remainder composed of the same species that dominated the fine fraction.     

Measurements of Sulfur Oxides,Nitrogen Oxides,Haze and Fine Particles at a Rural Site on the Atlantic Coast

During August, 1982 and January and February, 1983, General Motors Research Laboratories operated air monitoring sites on the Atlantic Coast near Lewes, Delaware and 1250 km to the east on the southwest coast of Bermuda. The overall purpose of this project was to study the transformations of the principal acid precipitation precursors, NO _x and SO _x species, as they transport under conditions not complicated by emissions from local sources. In this paper, the measurements of gas and particulate species from Lewes are described and the composition and sources of sulfate aerosol, which is the most important haze-producing species, are investigated.

On the average, the total suspended particulate (TSP) concentration was 27.9 μg/m³ while the PM₁₀ (mass of particles with a diameter less than or equal to 10 μm) concentration was 22.0 μg/m³ or 79 percent of the TSP. The PM₁₀ consisted of 6.1 μg/m³ of coarse particles (CPM, diameter = 2.5 ? 10μm) and 15.9 μg/m³ of fine particles (FPM, diameter < 2.5 μm).

On a mass basis the most important constituents of the fine particulate fraction were sulfate compounds, 50 percent, and organic compounds, 30 percent. The mean light extinction coefficient corresponds to a visual range of 18-20 km. Most of the extinction can be attributed to the sulfate (60 percent) and organic carbon (13 percent). Particle size measurements show that the mass median aerodynamic diameter for both species is 0.43 μm. This is a typical size for a hydrated sulfate aerosol. For carbon, however, this is a larger size than previously reported and results in a more efficient light scattering aerosol. Principal component analyses indicate that coal combustion emissions from the midwestern U.S. are the most significant source of sulfate in Lewes during the summer and winter.     

Spatial PM2.5 mobile source impacts using a calibrated indicator method

Motor vehicles are major sources of fine particulate matter (PM_2.5), and the PM_2.5 from mobile vehicles is associated with adverse health effects. Traditional methods for estimating source impacts that employ receptor models are limited by the availability of observational data. To better estimate temporally and spatially resolved mobile source impacts on PM_2.5, we developed an approach based on a method that uses elemental carbon (EC), carbon monoxide (CO), and nitrogen oxide (NO_x) measurements as an indicator of mobile source impacts. We extended the original integrated mobile source indicator (IMSI) method in three aspects. First, we generated spatially resolved indicators using 24-hr average concentrations of EC, CO, and NO_x estimated at 4 km resolution by applying a method developed to fuse chemical transport model (Community Multiscale Air Quality Model [CMAQ]) simulations and observations. Second, we used spatially resolved emissions instead of county-level emissions in the IMSI formulation. Third, we spatially calibrated the unitless indicators to annually-averaged mobile source impacts estimated by the receptor model Chemical Mass Balance (CMB). Daily total mobile source impacts on PM_2.5, as well as separate gasoline and diesel vehicle impacts, were estimated at 12 km resolution from 2002 to 2008 and 4 km resolution from 2008 to 2010 for Georgia. The total mobile and separate vehicle source impacts compared well with daily CMB results, with high temporal correlation (e.g., R ranges from 0.59 to 0.88 for total mobile sources with 4 km resolution at nine locations). The total mobile source impacts had higher correlation and lower error than the separate gasoline and diesel sources when compared with observation-based CMB estimates. Overall, the enhanced approach provides spatially resolved mobile source impacts that are similar to observation-based estimates and can be used to improve assessment of health effects.

Implications: An approach is developed based on an integrated mobile source indicator method to estimate spatiotemporal PM_2.5 mobile source impacts. The approach employs three air pollutant concentration fields that are readily simulated at 4 and 12 km resolutions, and is calibrated using PM_2.5 source apportionment modeling results to generate daily mobile source impacts in the state of Georgia. The estimated source impacts can be used in investigations of traffic pollution and health.     

Modeled and observed fine particulate matter reductions from state attainment demonstrations

States rely upon photochemical models to predict the impacts of air quality attainment strategies, but the performance of those predictions is rarely evaluated retrospectively. State implementation plans (SIPs) developed to attain the 1997 U.S. standard for fine particulate matter (PM_2.5; denoting particles smaller than 2.5 microns in diameter) by 2009 provide the first opportunity to assess modeled predictions of PM_2.5 reductions at the state level. The SIPs were the first to rely upon a speciated modeled attainment test methodology recommended by the U.S. Environmental Protection Agency to predict PM_2.5 concentrations and attainment status. Of the 23 eastern U.S. regions considered here, all but one achieved the 15 μg/m³ standard by 2009, and the other achieved it the following year, with downward trends sustained in subsequent years. The attainment tests predicted 2009 PM_2.5 design values at individual monitors with a mean bias of 0.38 μg/m³ and mean error of 0.68 μg/m³, and were 95% accurate in predicting whether a monitor would achieve the standard. All of the errors were false alarms, in which the monitor observed attainment after a modeled prediction of an exceedance; in these cases, the states used weight-of-evidence determinations to argue that attainment was likely. Overall, PM_2.5 concentrations at monitors in the SIP regions declined by 2.6 μg/m³ from 2000–2004 to 2007–2009, compared with 1.6 μg/m³ in eastern U.S. regions originally designated as attainment. Air quality improvements tended to be largest at monitors that were initially the most polluted.

ImplicationsAs states prepare to develop plans for attaining a more stringent standard for fine particulate matter, this retrospective analysis documents substantial and sustained air quality improvements achieved under the previous standard. Significantly larger air quality improvements in regions initially designated nonattainment of the 1997 standard indicate that this status prompted heightened control efforts. The speciated modeled attainment test is found to be accurate and slightly conservative in predicting particulate concentrations for the cases considered here, providing confidence for its use in upcoming attainment plans.     

Air quality and health benefits from potential coal power plant closures in Texas

As power production from renewable energy and natural gas grows, closures of some coal-fired power plants in Texas become increasingly likely. In this study, the potential effects of such closures on air quality and human health were analyzed by linking a regional photochemical model with a health impacts assessment tool. The impacts varied significantly across 13 of the state’s largest coal-fired power plants, sometimes by more than an order of magnitude, even after normalizing by generation. While some power plants had negligible impacts on concentrations at important monitors, average impacts up to 0.5 parts per billion (ppb) and 0.2 µg/m³ and maximum impacts up to 3.3 ppb and 0.9 µg/m³ were seen for ozone and fine particulate matter (PM_2.5), respectively. Individual power plants impacted average visibility by up to 0.25 deciviews in Class I Areas. Health impacts arose mostly from PM_2.5 and were an order of magnitude higher for plants that lack scrubbers for SO₂. Rankings of health impacts were largely consistent across the base model results and two reduced form models. Carbon dioxide emissions were relatively uniform, ranging from 1.00 to 1.26 short tons/MWh, and can be monetized based on a social cost of carbon. Despite all of these unpaid externalities, estimated direct costs of each power plant exceeded wholesale power prices in 2016.

Implications: While their CO₂ emission rates are fairly similar, sharply different NO_x and SO₂ emission rates and spatial factors cause coal-fired power plants to vary by an order of magnitude in their impacts on ozone, particulate matter, and associated health and visibility outcomes. On a monetized basis, the air pollution health impacts often exceed the value of the electricity generated and are of similar magnitude to climate impacts. This suggests that both air pollution and climate should be considered if externalities are used to inform decision making about power-plant dispatch and retirement.     

Climate forcing by the on-road transportation and power generation sectors

The on-road transportation (ORT) and power generation (PG) sectors are major contributors to carbon dioxide (CO₂) emissions and a host of short-lived radiatively-active air pollutants, including tropospheric ozone and fine aerosol particles, that exert complex influences on global climate. Effective mitigation of global climate change necessitates action in these sectors for which technology change options exist or are being developed. Most assessments of possible energy change options to date have neglected non-CO₂ air pollutant impacts on radiative forcing (RF). In a multi-pollutant approach, we apply a global atmospheric composition-climate model to quantify the total RF from the global and United States (U.S.) ORT and PG sectors. We assess the RF for 2 time horizons: 20- and 100-year that are relevant for understanding near-term and longer-term impacts of climate change, respectively. ORT is a key target sector to mitigate global climate change because the net non-CO₂ RF is positive and acts to enhance considerably the CO₂ warming impacts. We perform further sensitivity studies to assess the RF impacts of a potential major technology shift that would reduce ORT emissions by 50% with the replacement energy supplied either by a clean zero-emissions source (S1) or by the PG sector, which results in an estimated 20% penalty increase in emissions from this sector (S2). We examine cases where the technology shift is applied globally and in the U.S. only. The resultant RF relative to the present day control is negative (cooling) in all cases for both S1 and S2 scenarios, global and U.S. emissions, and 20- and 100-year time horizons. The net non-CO₂ RF is always important relative to the CO₂ RF and outweighs the CO₂ RF response in the S2 scenario for both time horizons. Assessment of the full impacts of technology and policy strategies designed to mitigate global climate change must consider the climate effects of ozone and fine aerosol particles.     

Seasonal ambient particulate matter and population health outcomes among communities impacted by road dust in British Columbia,Canada

In recent years, many air quality monitoring programs have favored measurement of particles less than 2.5 µm (PM_2.5) over particles less than 10 µm (PM₁₀) in light of evidence that health impacts are mostly from the fine fraction. However, the coarse fraction (PM_10-2.5) may have independent health impacts that support continued measurement of PM₁₀ in some areas, such as those affected by road dust. The objective of this study was to evaluate the associations between different measures of daily PM exposure and two daily indicators of population health in seven communities in British Columbia, Canada, where road dust is an ongoing concern. The measures of exposure were PM₁₀, PM_2.5, PM_10-2.5, PM_2.5 adjusted for PM_10-2.5, and PM_10-2.5 adjusted for PM_2.5. The indicators of population health were dispensations of the respiratory reliever medication salbutamol sulfate and nonaccidental mortality. This study followed a time-series design using Poisson regression over a 2003–2015 study period, with analyses stratified by three seasons: residential woodsmoke in winter; road dust in spring; and wildfire smoke in summer. A random-effects meta-analysis was conducted to establish a pooled estimate. Overall, an interquartile range increase in daily PM_10-2.5 was associated with a 3.6% [1.6, 5.6] increase in nonaccidental mortality during the road dust season, which was reduced to 3.1% [0.8, 5.4] after adjustment for PM_2.5. The adjusted coarse fraction had no effect on salbutamol dispensations in any season. However, an interquartile range increase in PM_2.5 was associated with a 2.7% [2.0, 3.4] increase in dispensations during the wildfire season. These analyses suggest different impacts of different PM fractions by season, with a robust association between the coarse fraction and nonaccidental mortality in communities and periods affected by road dust. We recommend that PM₁₀ monitoring networks be maintained in these communities to provide feedback for future dust mitigation programs.

Implications: There was a significant association between daily concentrations of the coarse fraction and nonaccidental mortality during the road dust season, even after adjustment for the fine fraction. The acute and chronic health effects associated with exposure to the coarse fraction remain unclear, which supports the maintenance of PM₁₀ monitoring networks to allow for further research in communities affected by sources such as road dust.     

Fifteen years of offgas transfer efficiency measurements on fine-pore aerators: key role of sludge age and normalized air flux.

Fine-pore diffusers, often called fine-bubble diffusers, have nearly replaced coarse bubble diffusers in municipal wastewater treatment over the past 20 years. The rapid increases in energy costs, which began in the 1970s, created financial incentives to upgrade to this more expensive and maintenance-intensive method of aeration. Fine-pore diffusers have the added benefit of reducing volatile organic compound stripping and reduced aeration heat loss. This paper summarizes 15 years of oxygen transfer efficiency measurements using the offgas technique. Efficiencies are shown for different types of diffusers at various tank geometries (depth, diffuser size, and number), airflow rates, and mean cell retention times (MCRT or sludge age). By normalizing the airflow rates per unit of depth and diffusing area, efficiencies measured in different plants can be compared. The results show that aeration efficiencies are logarithmically related to the ratio between MCRT and the normalized air flux, with transfer rates suppressed by low MCRT or high normalized air flux systems. There is no evidence for different alpha factors among the different types of fine-bubble diffuser types.