Impacts of air pollution control costs: An input-output approach

Ozone in the South Cast Air Basin, which encompasses the urbanized portions of Los Angeles, Orange, Riverside, and San Bernardino counties in California, currently exceeds the federal standard. Rules on stationary sources have been adopted to reduce emissions of two ozone precursors, reactive organic gases (ROG) and nitrogen oxides (NO_x). This paper uses an input-output framework to evaluate the distributional impacts of four of the most costly NO_x rules on the South Coast economy in terms of output, income, employment, and prices. The model allows output substitutions by making the household sector endogenous and feeding price elasticities into personal consumption coefficients. Instead of using annualized costs, it is assumed that the rate of industrial compliance to NO_x rules follows an accelerating pattern during the simulation period of 1984 to 1988; i.e., from the time a rule was adopted to the time it will be complied with. It is found that the highest price increase occurs in Petroleum Refineries in 1988 (.48 percent). The overall results indicate that price impacts are rather insignificant.This paper was written while the author was with the South Coast Air Quality Management District. The opinions expressed in this article are those of the author and do not necessarily reflect the views of the South Coast Air Quality Management District.     

High resolution modeling of the effects of alternative fuels use on urban air quality: Introduction of natural gas vehicles in Barcelona and Madrid Greater Areas (Spain)

The mitigation of the effects of on-road traffic emissions on urban air pollution is currently an environmental challenge. Air quality modeling has become a powerful tool to design environment-related strategies. A wide range of options is being proposed; such as the introduction of natural gas vehicles (NGV), biofuels or hydrogen vehicles. The impacts on air quality of introducing specific NGV fleets in Barcelona and Madrid (Spain) are assessed by means of the WRF-ARW/HERMES/CMAQ modeling system with high spatial-temporal resolution (1 km², 1 h). Seven emissions scenarios are defined taking into account the year 2004 vehicle fleet composition of the study areas and groups of vehicles susceptible of change under a realistic perspective. O₃ average concentration rises up to 1.3% in Barcelona and up to 2.5% in Madrid when introducing the emissions scenarios, due to the NO_x reduction in VOC-controlled areas. Nevertheless, NO₂, PM10 and SO₂ average concentrations decrease, up to 6.1%, 1.5% and 6.6% in Barcelona and up to 20.6%, 8.7% and 14.9% in Madrid, respectively. Concerning SO₂ and PM10 reductions the most effective single scenario is the introduction of 50% of NGV instead of the oldest commercial vehicles; it also reduces NO₂ concentrations in Barcelona, however in Madrid lower levels are attained when substituting 10% of the private cars. This work introduces the WRF-ARW/HERMES/CMAQ modeling system as a useful management tool and proves that the air quality improvement plans must be designed considering the local characteristics.     

Land-use,transport and vehicle technology futures: An air pollution assessment of policy combinations for the Cambridge Sub-Region of the UK

This paper reports on an investigation of the impact on air-quality of combinations of urban form development scenarios and vehicle fleet technology changes. The scenarios combine policies affecting urban land-use plans within the Cambridge Sub-Region of the UK, alongside technological changes within the projected vehicle fleet. Broadly, the scenarios consist of the ‘Trend’ for urban form policy and vehicle technology and the urban form policy options of ‘Planned expansion’, ‘Market-led development’ and ‘Urban compaction’, each combined with form-appropriate technological scenarios addressing the uptake of current, and future, technologies in the vehicle fleet. The framework developed for environmental assessment is described, from land-use transport interaction, through traffic assignment and emissions modelling, through to dispersion calculations.The urban form-vehicle technology combinations have been assessed in terms of overall vehicle kilometres travelled (VKT), greenhouse gas (CO₂) emissions, and local air quality (NO_x, NO₂, PM, HC). Results are presented for 2021 and show that overall network emissions change from −13% (Compaction) to +8% (Market-led) relative to the Trend, but effects on emissions in individual districts (NO_x) may much greater, −40% to +50%. Annual mean concentrations of NO₂ at the street level may vary by −7 to 8 μg/m³. The use of electric vehicles in the ‘Urban compaction’ scenario aids mitigation of air quality issues in the city centre. The results are discussed with respect to the feasibility of scenario implementation, current approaches to planning, and trends in vehicle technology. Limitations of the modelling framework are also identified, and future developments outlined.     

Correlation analysis of noise and ultrafine particle counts in a street canyon

Ultrafine particles (UFP, diameter < 100 nm) are very likely to negatively affect human health, as underlined by some epidemiological studies. Unfortunately, further investigation and monitoring are hindered by the high cost involved in measuring these UFP. Therefore we investigated the possibility to correlate UFP counts with data coming from low-cost sensors, most notably noise sensors. Analyses are based on an experiment where UFP counts, noise levels, traffic counts, nitrogen oxide (NO, NO₂ and their combination NO_x) concentrations, and meteorological data were collected simultaneously in a street canyon with a traffic intensity of 3200 vehicles/day, over a 3-week period during summer. Previous reports that NO_x concentrations could be used as a proxy to UFP monitoring were verified in our setup. Traffic intensity or noise level data were found to correlate with UFP to a lesser degree than NO_x did. This can be explained by the important influence of meteorological conditions (mainly wind and humidity), influencing UFP dynamics. Although correlations remain moderate, sound levels are more correlated to UFP in the 20-30 nm range. The particles in this size range have indeed rather short atmospheric residence times, and are thus more closely short-term traffic-related. Finally, the UFP estimates were significantly improved by grouping data with similar relative humidity and wind conditions. By doing this, we were able to devise noise indicators that correlate moderately with total particle counts, reaching a Spearman correlation of R = 0.62. Prediction with noise indicators is even comparable to the more-expensive-to-measure NO_x for the smallest UFP, showing the potential of using microphones to estimate UFP counts.     

An environmental assessment of wood and steel reinforced concrete housing construction

Wooden type of housing is ubiquitous in Japan. It is the main structure for housing; however, due to the increase in residential developments, steel reinforced concrete houses are also on the rise. This paper assesses the environmental impacts of these two types of construction. An evaluation of the two types of construction in terms of energy usage and air emissions is done. A comparison of the damage costs due to the generated emissions is also considered. Four types of emissions generated are evaluated, namely carbon emissions (CO₂), nitrogen oxides (NO_x), sulfur oxides (SO_x) and suspended particulate matter (SPM). The life cycle of the two different housing construction types is traced and environmental impacts are determined. External costs are also calculated. Furthermore, different improvement assessment scenarios are simulated to ascertain several emission reduction possibilities. The study looks into the emitted emissions from the housing construction to its final disposal of a typical residential development in Saga, Japan. Results show that much of the environmental impacts from building a house are on the Global Warming Potential due to high carbon emissions. Moreover, the construction phase generated the highest pollutant emissions from nitrogen oxides, sulfur oxides and suspended particulate matter. Steel reinforced concrete (SRC) construction has a higher environmental impact compared to the wooden type of housing construction. A longer design life for a residential house gives a reduction of about 14% in carbon emissions. Using solar energy for the operation phase has gained a reduction of 73% in the total life cycle carbon emissions.     

Effect of biodiesel fuel properties and formation of NOx emissions: a review

Biodiesel is revealed as an environmentally friendly alternative fuel for a CI engine and it can palliate regulated and unregulated emissions. Biodiesel is substantially found to reduce the emissions of hydrocarbons, carbon monoxide, and particulate matter, but increasing (10–15%) oxides of nitrogen (NO_x) emissions compared with conventional diesel fuel. The accurate cause for NO_x emission is still vague. This paper reviews the effect of biodiesel properties and formation of NO_x emissions and it is classified in three sections. The first section bestows the NO_x formation mechanisms. The second edition deals with the influence of formation and biodiesel properties on NO_x emissions. Finally, a few prevailing conclusions are epitomised, and more researches are pointed out.     

Trends in NOx abatement: A review

Implementation of stringent regulations of NO_x emission requires the development of new technologies for NO_x removal from exhaust gases. This article summarizes current state of NO_x abatement strategy. Firstly, the influence of NO_x on environment and human health is described. The main focus is put on NO_x control methods applied in combustion of fossil fuels in power stations and mobile vehicles, as well as methods used in chemical industry. Furthermore the implementation of ozone and other oxidizing agents in NO_x oxidation is emphasized.     

Effect of heating the catalytic converter on emission characteristic of gasoline automotive vehicles

Gasoline engines have been widely used as engineering machinery, automobile and shipping power equipment due to their excellent drivability and economy. At the same time, gasoline engines are major contributors to various types of air pollutants such as carbon monoxide (CO), oxides of nitrogen (NO_x), and other harmful compounds. With the increasing concern of environment and more stringent government regulation on exhaust emissions, the reduction in engine emissions such as particulate matter and NO_x is a major research objective in engine development. In this article the effect of heating the catalytic converter on emission characteristic of automotive vehicles in its starting phase of combustion has been studied. In this work, the emission characteristic of hydrocarbons has been improved from 800 to 15 ppm, CO from 4 to 0.07 (V/V%) and NO_x from 1200 to 115 ppm.     

Experimental study on particulate and NOx emissions of a diesel engine fueled with ultra low sulfur diesel, RME-diesel blends and PME-diesel blends

Ultra low sulfur diesel and two different kinds of biodiesel fuels blended with baseline diesel fuel in 5% and 20% v/v were tested in a Cummins 4BTA direct injection diesel engine, with a turbocharger and an intercooler. Experiments were conducted under five engine loads at two steady speeds (1500 rpm and 2500 rpm). The study aims at investigating the engine performance, NO_x emission, smoke opacity, PM composition, PM size distribution and comparing the impacts of low sulfur content of biodiesel with ULSD on the particulate emission. The results indicate that, compared to base diesel fuel, the increase of biodiesel in blends could cause certain increase in both brake specific fuel consumption and brake thermal efficiency. Compared with baseline diesel fuel, the biodiesel blends bring about more NO_x emissions. With the proportion of biodiesel increase in blends, the smoke opacity decreases, while total particle number concentration increases. Meanwhile the ULSD gives lower NO_x emissions, smoke opacity and total number concentration than those of baseline diesel fuel. In addition, the percentages of SOF and sulfate in particulates increase with biodiesel in blends, while the dry soot friction decreases obviously. Compared with baseline diesel fuel, the biodiesel blends increase the total nucleation number concentration, while ULSD reduces the total nucleation number concentration effectively, although they all have lower sulfur content. It means that, for ULSD, the lower sulfur content is the dominant factor for suppressing nucleation particles formation, while for biodiesel blends, lower volatile, lower aromatic content and higher oxygen content of biodiesel are key factors for improving the nucleation particles formation. The results demonstrate that the higher NO_x emission and total nucleation number concentration are considered as the big obstacles of the application of biodiesel in diesel engine.     

Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki

Forecasting models based on stepwise multiple linear regression (MLR) have been developed for Athens and Helsinki. The predictor variables were the hourly concentrations of pollutants (NO, NO₂, NO_x, CO, O₃, PM_2.5 and PM₁₀) and the meteorological variables (ambient temperature, wind speed/direction, and relative humidity) and in case of Helsinki also Monin-Obukhov length and mixing height of the present day. The variables to be forecasted are the maximum hourly concentrations of PM₁₀ and NO_x, and the daily average PM₁₀ concentrations of the next day. The meteorological pre-processing model MPP-FMI was used for computing the Monin-Obukhov length and the mixing height. The limitations of such statistical models include the persistence of both the meteorological and air quality situation; the model cannot account for rapid changes (on a temporal scale of hours or less than a day) that are commonly associated, e.g., with meteorological fronts, or episodes of a long-range transport origin. We have selected the input data for the model from one urban background and one urban traffic station both in Athens and Helsinki, in 2005. We have used various statistical evaluation parameters to analyze the performance of the models, and inter-compared the performance of the predictions for both cities. Forecasts from the MLR model were also compared to those from an Artificial Neural Network model (ANN) to investigate, if there are substantial gains that might justify the additional computational effort. The best predictor variables for both cities were the concentrations of NO_x and PM₁₀ during the evening hours as well as wind speed, and the Monin-Obukhov length. In Athens, the index of agreement (IA) for NO_x ranged from 0.77 to 0.84 and from 0.69 to 0.72, in the warm and cold periods of the year. In Helsinki, the corresponding values of IA ranged from 0.32 to 0.82 and from 0.67 to 0.86 for the warm and cold periods. In case of Helsinki the model accuracy was expectedly better on the average, when Monin-Obukhov length and mixing height were included as predictor variables. The models provide better forecasts of the daily average concentration, compared with the maximum hourly concentration for PM₁₀. The results derived by the ANN model where only slightly better than the ones derived by the MLR methodology. The results therefore suggest that the MLR methodology is a useful and fairly accurate tool for regulatory purposes.     

Diurnal and seasonal variabilities in surface ozone and its precursor gases at a semi‐arid site Anantapur (14.62°N, 77.65°E, 331 m asl) in India

Measurements of surface ozone and its precursor gases (NO_x and CO) have been made at a semi‐arid site Anantapur (14.62°N, 77.65°E, 331 m asl) in tropical Indian region for the period, 2001–2003. NO_x and CO levels were the highest during morning and late night hours at this site. Diurnal variations of ozone concentrations varied from 25 ppbv to 50 ppbv and were observed to increase gradually after sunrise, attaining a maximum value by the evening and decreasing gradually thereafter. During monsoon months, the diurnal amplitude of ozone was found to be small (20–25 ppbv). Seasonal variation in ozone showed a pronounced maximum (40–50 ppbv) in the winter and summer. Local pollutants were major contributors to the ozone levels during this period. Ozone shows a yearly mean mixing ratio of about 35.9 ± 8.8 ppbv. The daytime concentration of CO and NO_x varied between 200 to 1200 ppbv and 3 to 20 ppbv respectively for the period studied. Annual average mixing ratios of oxides of nitrogen (NO_x) and CO were observed to be 3.9±0.6 ppbv and 436±64 ppbv, respectively.     

Multiple effects and uncertainties of emission control policies in China: Implications for public health, soil acidification, and global temperature

Policies to control emissions of criteria pollutants in China may have conflicting impacts on public health, soil acidification, and climate. Two scenarios for 2020, a base case without anticipated control measures and a more realistic case including such controls, are evaluated to quantify the effects of the policies on emissions and resulting environmental outcomes. Large benefits to public health can be expected from the controls, attributed mainly to reduced emissions of primary PM and gaseous PM precursors, and thus lower ambient concentrations of PM_2.5. Approximately 4% of all-cause mortality in the country can be avoided (95% confidence interval: 1-7%), particularly in eastern and north-central China, regions with large population densities and high levels of PM_2.5. Surface ozone levels, however, are estimated to increase in parts of those regions, despite NO_X reductions. This implies VOC-limited conditions. Even with significant reduction of SO₂ and NO_X emissions, the controls will not significantly mitigate risks of soil acidification, judged by the exceedance levels of critical load (CL). This is due to the decrease in primary PM emissions, with the consequent reduction in deposition of alkaline base cations. Compared to 2005, even larger CL exceedances are found for both scenarios in 2020, implying that PM control may negate any recovery from soil acidification due to SO₂ reductions. Noting large uncertainties, current polices to control emissions of criteria pollutants in China will not reduce climate warming, since controlling SO₂ emissions also reduces reflective secondary aerosols. Black carbon emission is an important source of uncertainty concerning the effects of Chinese control policies on global temperature change. Given these conflicts, greater consideration should be paid to reconciling varied environmental objectives, and emission control strategies should target not only criteria pollutants but also species such as VOCs and CO₂.     

Method for achieving hydraulic balance in typical Chinese building heating systems by managing differential pressure and flow

Hydraulic unbalance is a common problem in Chinese district heating (DH) systems. Hydraulic unbalance has resulted in poor flow distribution among heating branches and overheating of apartments. Studies show that nearly 30% of the total heat supply is being wasted in Chinese DH systems due to a lack of pressure and flow control. This study investigated using pre-set radiator valves combined with differential pressure (DP) controllers to achieve hydraulic balance in building distribution systems, and consequently save energy and reduce the emissions. We considered a multi-storey building modelled in the IDA-ICE software, along with a self-developed mathematical hydraulic model to simulate its heat performance and hydraulic performance with various control scenarios. In contrast to the situation with no pressure or flow control, this solution achieves the required flow distribution and close-to-design room temperatures, as well as 16% heat savings, 74% pump electricity savings, and proper cooling of supply water. The energy consumption savings would therefore have positive environmental impacts, and be reflected in seasonal reductions of 2.1 kg/m² CO₂, 0.02 kg/m² SO₂, and 0.01 kg/m² NO_x for 3rd step energy efficiency buildings in Beijing.     

Experimental analysis of DI diesel engine using dual biofuel blended with diesel

ABSTRACT

In recent years, biodiesel has become more attractive as an alternative fuel for diesel engines because of its environmental benefits and the fact is that it is made from renewable resources. The role of biodiesel is not to replace petroleum diesel, biofuels help to improve the economical growth and positive impacts on the environment. The main purpose of this research is to reduce the emission such as carbon monoxide (CO), nitrogen oxides (NO_X), hydrocarbons (HC) and carbon dioxide (CO₂). And to increase the performance characteristics such as break thermal efficiency (BTE), specific fuel consumption (SFC) of diesel engines. Here we used dual biofuel (lemongrass oil plus mint oil) blended with diesel and cerium oxide is added as an additive and undergone the test of engine performance and emission parameters of diesel. The measuring parameters are BTHE, specific fuel conception, CO₂, CO, NO_x and HC.     

Experimental analysis of the effects of cerium oxide nanoparticles on a single-cylinder diesel engine using biofuel blended with diesel as fuel

Energy demand is the hot topic of all developing and developed countries. Energy demand has been increasing day by day at a high rate. So, it is necessary to find an alternative solution that is eco-friendly. Biodiesel can be the alternative solution for this problem. The main purpose of this paper is to test the engine performance and emission parameters of a diesel engine using pure cinnamon oil blended with diesel and using cerium oxide as a catalyst. The parameters measured are brake power, brake thermal efficiency, specific fuel conception, CO₂, CO, NO_x and HC.     

Denitrification at various carbon to nitrogen ratios

The aim of this research was to examine whether the residual dissolved organic matter, remaining in chemically treated raw sewage would be able to satisfy the carbon demand in a denitrification process. In the first stage of research we investigated the effect of type and amount of organic substrate on denitrification efficiency. The critical weight ratios of methanol and sodium acetate to total concentration of nitrite and nitrate which enable the occurrence of complete denitrification were studied. It was found that when the concentration of the organic matter was expressed as BOD, a critical ratio of (mg BOD/mgΣNO_x-N) = 2.3 ensured 100% denitrification. Lower ratios decreased denitrification efficiencies proportionally. The same critical ratio was found when the chemically treated raw sewage was used as an available organic carbon source. Denitrification-nitrification process was also investigated by recirculating the nitrified effluent into the denitrification reactor, to which effluents from chemical treatment of raw sewage were fed to satisfy the carbon demand. The same critical ratio of BOD/ΣNO_x-N) = 2.3 was found. By increasing the recycling, nitrate concentration in effluent was decreased.     

Determination of the emission indices for NO,NO2, HONO,HCHO, CO,and particles emitted from candles

In the present study, emission indices for NO, NO₂, HONO, HCHO, CO, particle mass, and particle numbers including particle size distributions for three different offering candles were determined. The candles investigated showed similar emission characteristics with emission indices (g/kg) in good agreement with former candle emission studies. An average HONO/NO_x emission ratio of 6.6 ± 1.1% was obtained, which is much higher compared to most other combustion sources, indicating that candles may be a significant indoor source of this important trace gas. The particle size distributions indicate that the majority of the emitted particles are in the size range 7 - 15 nm. Three modes were observed during burning the candles with very different emission profiles: a “normal burning” mode characterized by low particle number emission rates and small particles; an initial “sooting” behavior after ignition, and a final “smoldering” phase upon candle extinction with higher particle number emission rates and larger particles. The particle emission upon extinction is dependent on the extinction method. The NO_x emission indices were applied in a simple box model to calculate typical indoor NO_x concentration levels from candle emissions, which were in excellent agreement with direct measurements in a typical indoor environment.     

Air quality in Delhi: status and concerns

Data on the status of air quality are presented for two locations in Delhi, the capital city of India, for 2013. Our study revealed that the levels of oxides of nitrogen (NO_x), particulate matter of 10 or <10 μm aerodynamic diameter (PM₁₀) and benzene exceeded the maximum permissible limits laid down in the National Ambient Air Quality Standards (NAAQS). On most of the monitoring days, the concentrations of PM₁₀ also exceeded the limits for 24 h averages stipulated by the NAAQS. This study also demonstrated that the concentration of pollutants varied with the season, peaking in dry season (winter) mainly because of the relatively stable meteorological conditions and recording the lowest values in the wet season (the rainy season) because of turbulence, strong winds, and rains. The post-monsoon season showed the contribution of local sources. The strong correlation among NO_x, PM₁₀, and benzene strongly suggests that motor vehicles are the major contributor to this pollution. Intervention by regulatory agencies is essential to improve the air quality of Delhi.     

Bio diesel production by using Jatropha: the fuel for future

ABSTRACT

Presently biodiesel is widely used globally due to high scarcity of petroleum products and being a renewable fuel which can be used with the current fuelling infrastructure in an unmodified diesel engine. It is a harmless, recyclable, and ecofriendly fuel (reduces air pollutions such as dust, particulates, carbon monoxide, hydrocarbons, and oxides of sulphur and air toxics). In India, the favourable conditions for the growth of Jatropha exist. Its use a biofuel is going to prove very beneficial for the Indian as well as the world market with the increase in fossil fuel’s demand and its reducing availability. The only drawback in using jatropha oil as a fuel is that the NO_x emission is more than that of petroleum diesel. This paper deals with the implementation of exhaust gas recirculation to reduce the emission of NO_x and to study its characteristics with respect to the performance of the engine.

Abbreviations: HSD: high-speed diesel; BD: biodiesel; EGR: exhaust gas recirculation; NO_x: nitrous oxide; CO: carbon mono oxide; NaOH: sodium hydroxide; RCAC: Rural Action Community Action Center