Environmental assessment of 5-ethylidene-2-norbornene using modeled and measured fate and effects results

Several predictive models were used to assess aquatic exposure, persistence (P) and potential for long-range transport (LRT) of 5-ethylidene-2-norbornene (ENB). Such estimations are components of the assessment process for persistent, bioaccumulative and toxic (PBT) substances, which are also referred to as persistent organic pollutants (POPs). An ecological exposure assessment for ENB from manufacturing activities was conducted based on physical/chemical properties, monitoring data, and degradation, transport and distribution estimates. Based on the results of several model predictions, chronic exposure of aquatic organisms is not expected, due to the anticipated residence time of ENB in aquatic ecosystems. These modeled results consistently predict ENB does not present the potential to persist in the environment. Volatilization from water to the air is calculated to occur at a relatively rapid rate for ENB based on its Henry's Law constant. Once in the air, ENB is expected to degrade rapidly due to oxidation by hydroxyl radicals and ozone based on calculated atmospheric half-lives of 57 and 27 min, respectively. Additionally, ENB is not predicted to undergo long-range transport based on the short atmospheric half-life due to oxidation by hydroxyl radicals and ozone. Additionally, based on predicted exposure from site-specific emission using the EPA model EFAST, ENB is not expected to reach concentrations of concern for chronic aquatic toxicity endpoints.     

欧盟工业废水污染物排放限值的制定

目前欧盟废水污染物排放限值的制定,主要依据欧盟委员会公布的污染综合防治指令和水政策行动框架指令的原则来进行。限值的制定方法主要有两种：一是以技术先进、经济合理为基础的最佳可行技术法;二是通过水环境质量标准、水体稀释能力以及污水处理系统削减能力来计算的反演法。中国可借鉴欧盟的先进方法进行环境标准体系的建设和完善。     

Investigation of carbonyl compounds in air from various industrial emission sources

The emission concentrations of carbonyl compounds in air were quantified from a total of 195 man-made source units within 77 individual companies at a large industrial complex in Korea. The measurement data were evaluated both by absolute magnitude of concentration and by their relative contribution to malodor formation such as malodor degree (MD) derived from empirical formula. It was found that formaldehyde exhibited the highest mean concentration of 323ppb with a median value of 28.2ppb, while butyraldehyde recorded the highest contribution to odor formation with an MD value of 3.5 (186 (mean) and 9.8ppb (median)). The relative intensity of carbonyl emission, when compared by the sum of MD, showed the highest source strength from the food and beverage (industry sector) and scrubber (source unit). A comprehensive evaluation of the carbonyl data from diverse industrial facilities thus allowed us to describe the fundamental patterns of their emission.     

a rapid emission survey procedure for industrial air pollutants

A methodology has been developed to calculate industrial air pollutant emissions with an absolute minimum of effort. The procedure is dependent upon available industrial fuel data for Standard Industrial Classifications for Standard Metropolitan Statistical Areas as published by the Census of Manufacturers. Emission factors were developed which include both combustion and process losses and six SIC classifications which consume, on the average, about 80 per cent of the industrial fuels in urban areas. In spite of the diversity of industrial processes which dictate the weight of emissions discharged from industrial operation, factors have been developed which are considered representative for urban areas across the nation. The development of such factors permits the calculation of industrial emissions with a minimum of man-hours. The developed procedure allows the calculation of industrial emissions on an urban basis, a state basis, or a nation basis.     

Atmospheric emission of polychlorinated biphenyls from multiple industrial thermal processes

In this study, field measurements were conducted to estimate and characterize the atmospheric emission levels and profiles of polychlorinated biphenyls (PCBs) from multiple industrial thermal processes. The emission levels and profiles of PCBs from five types of thermal processes at twenty-three plants were studied and compared with eight processes reported in our previous studies. Correlation analysis was preformed to identify a marker congener for emission of ΣPCB. A significant correlation was observed between congener CB-118 and ΣPCB (R² = 0.65 and p < 0.01), which suggests that CB-118 is a good marker congener for emission of ΣPCB. The profiles of PCBs emitted from the thirteen thermal processes were compared, and this information could be used for studying source–receptor relationships and identifying the specific sources of PCBs. To prioritize the sources for control, the concentrations of PCBs from thirteen industrial thermal sources were compared. The PCB concentrations from secondary zinc smelting and thermal wire reclamation were about one to three order magnitude higher than those of other sources, which suggests that these two sources be given priority in PCB source control. Finally, the atmospheric emission factors of PCBs from the thirteen industrial sources were summarized, and these data will be useful for developing an integrated emission inventory of PCBs.     

NO2 and SO2 dispersion modeling and relative roles of emission sources over Map Ta Phut industrial area, Thailand

Map Ta Phut industrial area (MA) is the largest industrial complex in Thailand. There has been concern about many air pollutants over this area. Air quality management for the area is known to be difficult, due to lack of understanding of how emissions from different sources or sectors (e.g., industrial, power plant, transportation, and residential) contribute to air quality degradation in the area. In this study, a dispersion study of NO2 and SO2 was conducted using the AERMOD model. The area-specific emission inventories of NOx and SO2 were prepared, including both stack and nonstack sources, and divided into 11 emission groups. Annual simulations were performed for the year 2006. Modeled concentrations were evaluated with observations. Underestimation of both pollutants was Jbund, and stack emission estimates were scaled to improve the modeled results before quantifying relative roles of individual emission groups to ambient concentration overfour selected impacted areas (two are residential and the others are highly industrialized). Two concentration measures (i.e., annual average area-wide concentration or AC, and area-wide robust highest concentration or AR) were used to aggregately represent mean and high-end concentrations Jbfor each individual area, respectively. For AC-NO2, on-road mobile emissions were found to be the largest contributor in the two residential areas (36-38% of total AC-NO2), while petrochemical-industry emissions play the most important role in the two industrialized areas (34-51%). For AR-NO2, biomass burning has the most influence in all impacted areas (>90%) exceptJor one residential area where on-road mobile is the largest (75%). For AC-SO2, the petrochemical industry contributes most in all impacted areas (38-56%). For AR-SO2, the results vary. Since the petrochemical industry was often identified as the major contributor despite not being the largest emitter, air quality workers should pay special attention to this emission group when managing air quality for the MA.     

NO2 and SO2dispersion modeling and relative roles of emission sources over Map Ta Phut industrial area,Thailand

Map Ta Phut industrial area (MA) is the largest industrial complex in Thailand. There has been concern about many air pollutants over this area. Air quality management for the area is known to be difficult, due to lack of understanding of how emissions from different sources or sectors (e.g., industrial, power plant, transportation, and residential) contribute to air quality degradation in the area. In this study, a dispersion study of NO₂ and SO₂ was conducted using the AERMOD model. The area-specific emission inventories of NO_x and SO₂ were prepared, including both stack and nonstack sources, and divided into 11 emission groups. Annual simulations were performed for the year 2006. Modeled concentrations were evaluated with observations. Underestimation of both pollutants was found, and stack emission estimates were scaled to improve the modeled results before quantifying relative roles of individual emission groups to ambient concentration over four selected impacted areas (two are residential and the others are highly industrialized). Two concentration measures (i.e., annual average area-wide concentration or AC, and area-wide robust highest concentration or AR) were used to aggregately represent mean and high-end concentrations for each individual area, respectively. For AC-NO₂, on-road mobile emissions were found to be the largest contributor in the two residential areas (36–38% of total AC-NO₂), while petrochemical-industry emissions play the most important role in the two industrialized areas (34–51%). For AR-NO₂, biomass burning has the most influence in all impacted areas (>90%) except for one residential area where on-road mobile is the largest (75%). For AC-SO₂, the petrochemical industry contributes most in all impacted areas (38–56%). For AR-SO₂, the results vary. Since the petrochemical industry was often identified as the major contributor despite not being the largest emitter, air quality workers should pay special attention to this emission group when managing air quality for the MA.

Implications: Effective air quality management in Map Ta Phut Industrial Area, Thailand requires better understanding of how emissions from various sources contribute to the degradation of ambient air quality. Based on the dispersion study here, petrochemical industry was generally identified as the major contributor to ambient NO₂ and SO₂. By accounting for all stack and non-stack sources, on-road mobile emissions were found to be important in some particular areas.     

The effect of emission of industrial dusts on bacteria in the waters of the Niepolomice Forest

The presented results were obtained in a further microbiological investigation carried out in the Niepołomice Forest against the background of a general ecological study. Bacteria occurring in the aquatic environment were resistant to the toxic action of industrial dusts which, among other components, contained heavy metals. The in vivo adsorption of metals by bacteria was also found.     

Determination of PM10 emission rates from street sweepers

The use of street sweepers to clean paved roads, particularly after high-wind events, has been proposed as a PM10 control method. Using an artificial tunnel, the emission rates for several street sweepers were quantified under actual operating conditions. The tunnel was a tent enclosure, 6.1 x 4.3 x 73 m, open on both ends. PM10 concentrations were measured at the inlet and outlet while a sweeper removed sand deposited along the length. Measurements were made using a specialized low-volume filter sampler and an integrating nephelometer. The volume of air passing through the tunnel was measured by releasing an inert tracer, sulfur hexafluoride, at the inlet and measuring its concentration at the outlet. A large difference in emission rates between vacuum-type sweepers was observed, with rates varying from 5 to 100 mg m-1 swept. For the cleanest sweepers, the background rates (collected by sweeping clean pavement) were about half of the total PM10 emission rate. These background emission rates likely were from diesel exhaust; background rates for the single gasoline-powered sweeper were below detection. Particle light scattering data confirmed the filter collection results. The artificial tunnel approach would be useful in measuring total emissions from other mobile and stationary sources.     

焦化行业SO2排放现状及减排潜力分析

随着钢铁工业的高速发展,高温炼焦已成为中国煤炭资源利用的重要途径之一,与此同时焦化行业SO2排放污染问题越来越引起人们的关注.2007年,全国焦炭产量总计335.53 Mt,其中机械化焦炉产量达305.37 Mt,约占全国焦炭产量的91.01%,焦化行业SO2排放量达181.19 kt.在参考国家制定的焦化行业未来产业...     

Testing VOC emission measurement techniques in wood-coating industrial processes and developing a cost-effective measurement methodology

Availability of reliable emission measurements of concentrated volatile organic compounds (VOCs) bear great significance in facilitating the selection of a feasible emission abatement technique. There are numerous methods, which can be used to measure VOC emissions, however, there is no single method that would allow sampling of the whole range of volatile organics. In addition, research efforts are usually directed to the development of measuring VOCs in diluted concentrations. Therefore, there is a need for a novel measurement method, which can give reliable results while entailing simple operations and low costs. This paper represents a development effort of finding a reliable measurement procedure. A methodology is proposed and used to measure solvent emissions from coating processes.     

Odor emission rate estimation of indoor industrial sources using a modified inverse modeling method

Odor emission rates are commonly measured in the laboratory or occasionally estimated with inverse modeling techniques. A modified inverse modeling approach is used to estimate source emission rates inside of a postdigestion centrifuge building of a water reclamation plant. Conventionally, inverse modeling methods divide an indoor environment in zones on the basis of structural design and estimate source emission rates using models that assume homogeneous distribution of agent concentrations within a zone and experimentally determined link functions to simulate airflows among zones. The modified approach segregates zones as a function of agent distribution rather than building design and identifies near and far fields. Near-field agent concentrations do not satisfy the assumption of homogeneous odor concentrations; far-field concentrations satisfy this assumption and are the only ones used to estimate emission rates. The predictive ability of the modified inverse modeling approach was validated with measured emission rate values; the difference between corresponding estimated and measured odor emission rates is not statistically significant. Similarly, the difference between measured and estimated hydrogen sulfide emission rates is also not statistically significant. The modified inverse modeling approach is easy to perform because it uses odor and odorant field measurements instead of complex chamber emission rate measurements.     

A method to estimate emission rates from industrial stacks based on neural networks

This paper presents a technique based on artificial neural networks (ANN) to estimate pollutant rates of emission from industrial stacks, on the basis of pollutant concentrations measured on the ground. The ANN is trained on data generated by the ISCST3 model, widely accepted for evaluation of dispersion of primary pollutants as a part of an environmental impact study. Simulations using theoretical values and comparison with field data are done, obtaining good results in both cases at predicting emission rates. The application of this technique would allow the local environment authority to control emissions from industrial plants without need of performing direct measurements inside the plant.     

基于对数平均迪氏指数法的中国工业固体废弃物排放影响因素分解研究

为了对中国工业固体废弃物排放情况及其发展趋势进行研究,选择2001-2008年中国工业的相关数据,采用对数平均迪氏指数(LMDI)法将工业固体废弃物排放的影响因素分为规模效应、技术效应、治理效应和结构效应4个部分,并对上述4个部分的影响程度和变化情况进行对比分析,反映了中国工业固体废弃物减排的现状和趋势,指出了目前工业...     

山东省工业废水中石油类污染物排放特征及减排潜力分析

基于环境和经济统计数据,分析了山东省重点工业行业废水中石油类污染物的排放特征,并通过情景分析对2020年该省重点行业的石油类污染物减排潜力进行了测算。结果表明,2006—2012年山东省石油类污染物排放的行业结构特征明显,包括石化行业在内的7个重点行业的排放量占该省排放总量的85%以上;从年际变化来看,石油和天然气开采业和石油加工、炼焦及核燃料加工业的排放量所占比例出现明显的下降,由2006年的约48%下降至2012年的20%左右;而煤炭开采和洗选业的排放量所占比例明显上升,由2006年的0.18%迅速增加到2012年的23.69%,成为山东省工业废水石油类污染物排放的主要行业;在设计的高标准方案下,2020年石油类污染物的排放量预计为485.31t,比2012年降低了8%,其中石化行业的石油类污染物减排潜力最大,与基准情景相比,2020年在高标准方案下石油类污染物的削减量约达1 006t,约占减排总量的55%。     

BOD5 measurements of water presenting inhibitory Cu2+. Implications in using of BOD to evaluate biodegradability of industrial wastewaters

In industrial effluents, the presence of an infinite number of possible mixtures of substances and the high variability of chemical conditions ask for an evaluation of biodegradability by a global and simple method. Biological oxygen demand after five days (BOD5) using synthetic wastewater was studied by two different ways: dilution and manometric methods. It can therefore be established that BOD5 obtained by adding manufactured inocula to the synthetic medium (effluent containing known and easily biodegradable substances) is close to the values obtained with inocula taken from the treated effluent of an urban and a rural purification plant. It was found that BOD5 measurement of effluents presenting factors affecting biodegradation, similar of those found in industrial effluents, is very questionable. The BOD is in this case influenced by the synergic and antagonist interactions between numerous and variable parameters like as pH, nature and concentration of inoculum, concentration of nutriments, amount and nature of assimilable substances, presence of toxicants, and presence of nitrification inhibitors, which are typical of real industrial wastewaters.     

Simulating industrial emissions using atmospheric dispersion modeling system: model performance and source emission factors

In this paper, the Gaussian Atmospheric Dispersion Modeling System (ADMS4) was coupled with field observations of surface meteorology and concentrations of several air quality indicators (nitrogen oxides (NOx), carbon monoxide (CO), fine particulate matter (PM10) and sulfur dioxide (SO2)) to test the applicability of source emission factors set by the European Environment Agency (EEA) and the United States Environmental Protection Agency (USEPA) at an industrial complex. Best emission factors and data groupings based on receptor location, type of terrain and wind speed, were relied upon to examine model performance using statistical analyses of simulated and observed data. The model performance was deemed satisfactory for several scenarios when receptors were located at downwind sites with index of agreement 'd' values reaching 0.58, fractional bias 'FB' and geometric mean bias 'MG' values approaching 0 and 1, respectively, and normalized mean square error 'NMSE' values as low as 2.17. However, median ratios of predicted to observed concentrations 'Cp/Co' at variable downstream distances were 0.01, 0.36, 0.76 and 0.19 for NOx, CO, PM10 and SO2, respectively, and the fraction of predictions within a factor of two of observations 'FAC2' values were lower than 0.5, indicating that the model could not adequately replicate all observed variations in emittant concentrations. Also, the model was found to be significantly sensitive to the input emission factor bringing into light the deficiency in regulatory compliance modeling which often uses internationally reported emission factors without testing their applicability.     

A2O工艺中N2O的产生与逸散特征

目前污水处理过程中产生温室气体的问题已经引起普遍关注。本文通过实验室小试,研究了不同污水水质条件下A2O工艺中N2O的产生特征,以及氧化亚氮还原酶编码基因nosZ含量对N2O产生量的影响。结果表明,在A2O工艺中的各单元均有N2O产生,其中厌氧池产生量最大,约占总产生量的32％～85％;A2O工艺产生的N2O主要通过逸散进入大气,少量随二沉池出水进入到环境中。N2O的产生量与污泥中nosZ的含量成负相关,而碳源和DO对含有nosZ基因的反硝化细菌有明显的影响,低DO环境和充足的碳源能够极大的促进其含量的提高,从而显著减少N2O的产生量。     

State of energy consumption and CO2 emission in Bangladesh

Carbon dioxide (CO2) is one of the most important gases in the atmosphere, and is necessary for sustaining life on Earth. It is also considered to be a major greenhouse gas contributing to global warming and climate change. In this article, energy consumption in Bangladesh is analyzed and estimates are made of CO2 emission from combustion of fossil fuel (coal, gas, petroleum products) for the period 1977 to 1995. International Panel for Climate Change guidelines for national greenhouse gas inventories were used in estimating CO2 emission. An analysis of energy data shows that the consumption of fossil fuels in Bangladesh is growing by more than 5% per year. The proportion of natural gas in total energy consumption is increasing, while that of petroleum products and coal is decreasing. The estimated total CO2 release from all primary fossil fuels used in Bangladesh amounted to 5072 Gigagram (Gg) in 1977, and 14 423 Gg in 1995. The total amounts of CO2 released from petroleum products, natural gas, and coal in the period 1977-1995 were 83 026 Gg (50% of CO2 emission), 72 541 Gg (44% of CO2 emission), and 9545 Gg (6% CO2 emission), respectively. A trend in CO2 emission with projections to 2070 is generated. In 2070, total estimated CO2 emission will be 293 260 Gg with a current growth rate of 6.34% y . CO2 emission from fossil fuels is increasing. Petroleum products contribute the majority of CO2 emission load, and although the use of natural gas is increasing rapidly, its contribution to CO2 emission is less than that of petroleum products. The use of coal as well as CO2 emission from coal is expected to gradually decrease.     

Determination of the nitrous oxide emission potential of deammonification under anoxic conditions

Various studies have been performed to determine nitrous oxide (N2O) emissions from conventional biological nitrogen removal processes in wastewater treatment like nitrification and denitrification in the main stream. However, with respect to the overall emissions of a wastewater treatment plant, part-stream treatment for high-strength wastewater (e.g., sludge liquor) is also expected to hold a significant emission potential because of high concentrations and extreme boundary conditions. This paper presents results from a laboratory-scale study on nitrous oxide production by biomass from a deammonification process (nitritation + anammox) under anoxic conditions. It was discovered that N2O formation results from incomplete endogenous denitrification rather than anammox and is dependent on substrate availability. Based on direct measurements of the dissolved N2O concentrations in a sequencing batch reactor, the dynamic behavior of N2O production is characterized in more detail. The results show that, during anoxic conditions, the N2O emission potential of deammonification is significantly lower than from conventional denitrification.