Decrease Air Pollution Research Articles

Model-Based Fiber Diameter Determination Approach to Fine Particulate Matter Fraction (PM2.5) Removal in HVAC Systems

Particulate Matter (PM) is a general term to classify air pollutants consisting of airborne particles. The particles vary in composition and size, and the sizes of particles range from 2.5 µm (PM2.5) to 10 µm (PM10). Anthropogenic activity (e.g., industrial processes or fuel/waste combustion) stands as the main emission source of PM. Due to the fact that indoor PM penetrates from the outside to indoor air, Heating, Ventilation, and Air-Conditioning (HVAC) filtration systems may play a significant role in decreasing air pollution indoors. The section of the respiratory tract affected by particulate matter depends on the particle size. The smaller the fraction, the more deeply it can enter into lungs and bronchi, causing a series of health problems. Conventional electret air filters applied in HVAC systems are not able to efficiently remove PM2.5 (e.g., huge gaps between thick fibers and unintentional elimination of electrostatic effects). The electrospinning process allows for the production of fibers of diverse diameters, including ultrathin yarns. The following work presents the axial length scale χχ estimation method for the given conditions and experimental results. According to this approach, it is possible to find out what parameters should be used to produce materials at certain fiber diameters and to capture fine particulate matter fractions (PM2.5). This research refers to poly(acrylonitrile) (PAN) fibers. The most important advantages, limitations, and challenges of the presented methodology are detected and discussed in this work.

First-principles study of defect control in thin-film solar cell materials

A solar cell is a photovoltaic device that converts solar radiation energy to electrical energy, which plays a leading role in alleviating global energy shortages and decreasing air pollution levels typical of conventional fossil fuels. To render solar cells more efficient, high visible-light absorption rates and excellent carrier transport properties are required to generate high carrier levels and high output voltage. Hence, the core material, i.e., the absorption layer, should have an appropriate direct band gap and be effectively doped by both p- and n-types with minimal carrier traps and recombination centers. Consequently, defect properties of absorbers are critical in determining solar cell efficiency. In this work, we review recent first-principles studies of defect properties and engineering in four representative thin-film solar cells, namely CdTe, Cu(In,Ga)Se2, Cu2ZnSnS4, and halide perovskites. The focal points include basic electronic and defect properties, existing problems, and possible solutions in engineering defect properties of those materials to optimize solar cell efficiency.

Impact of COVID-19 Pandemic on Thailand Economy and Tourist Industry: An Empirical Forecasting Using ARIMA

Goal: The tourism sector always plays a vital role among other sectors, which contributes heavily to Thailand’s GDP. Due to the recent Pandemic crises, the tourism industry worldwide faces a decline. The aim of writing this paper is to forecast, tourist inflow for Thailand for the next nine months by using ARIMA forecasting
 Design/Methodology/Approach: In order to meet the study objective, we adopted the univariate time series forecasting of tourist arrival. The AR(12) and MA(12) process with d(1) order to specify the appropriate model also applied for forecasting selection of international tourist arrivals, after diagnostic checking of series through correlogram Q-statistics and correlogram of residuals for adjusted ARIMA (12,1,12) in which we found low residual against 70 lags.
 Results: The evidence predicts that in the next nine months, Thailand will face significant negative zone arrival of international tourists due to the COVID-19 pandemic crises, which adversely affect Thailand’s economy due to the shortfall of international tourist arrivals. However decline in tourist arrival will eventually decrease air pollution in Thailand, thus it positively impact on environmental quality.
 Limitation of the investigation: In terms of limitation of this study, this forecasting is only valid for Thailand based on historical and current data.
 Practical implications: We highly recommend government of Thailand for enchasing overall logistics performance and furthermore increase use to renewable energy and green performance in their tourism sector.
 Originality / Value: This study provides tourism forecasting estimation for Thailand, which can help government to reshape their tourism policies due to Covid-19 pandemic crises. As this study is the first attempt to provide forecasting related with Covid-19 for tourism sector.

Quantifying the Independent Influences of Land Cover and Humidity on Microscale Urban Air Temperature Variation in Hot Summer: Methods of Path Analysis and Genetic SVR

Mitigating high air temperatures and heat waves is vital for decreasing air pollution and protecting public health. To improve understanding of microscale urban air temperature variation, this paper performed measurements of air temperature and relative humidity in a field of Wuhan City in the afternoon of hot summer days, and used path analysis and genetic support vector regression (SVR) to quantify the independent influences of land cover and humidity on air temperature variation. The path analysis shows that most effect of the land cover is mediated through relative humidity difference, more than four times as much as the direct effect, and that the direct effect of relative humidity difference is nearly six times that of land cover, even larger than the total effect of the land cover. The SVR simulation illustrates that land cover and relative humidity independently contribute 16.3% and 83.7%, on average, to the rise of the air temperature over the land without vegetation in the study site. An alternative strategy of increasing the humidity artificially is proposed to reduce high air temperatures in urban areas. The study would provide scientific support for the regulation of the microclimate and the mitigation of the high air temperature in urban areas.

Pollution Characteristics of Particulate Matter (PM2.5 and PM10) and Constituent Carbonaceous Aerosols in a South Asian Future Megacity

The future megacity of Faisalabad is of prime interest when considering environmental health because of its bulky population and abundant industrial and anthropogenic sources of coarse particles (PM10) and fine airborne particulate matter (PM2.5). The current study was aimed to investigate the concentration level of PM2.5 and PM10, also the characterization of carbonaceous aerosols including organic carbon (OC), elemental carbon (EC) and total carbon (TC) in PM2.5 and PM10 samples collected from five different sectors (residential, health, commercial, industrial, and vehicular zone). The data presented here are the first of their kind in this sprawling city having industries and agricultural activities side by side. Results of the study revealed that the mass concentration of PM2.5 and PM10 is at an elevated level throughout Faisalabad, with ambient PM2.5 and PM10 points that constantly exceeded the 24-h standards of US-EPA, and National Environment Quality Standards (NEQS) which poses harmful effects on the quality of air and health. The total carbon concentration varied between 21.33 and 206.84 μg/m3, and 26.08 and 211.15 μg/m3 with an average of 119.16 ± 64.91 μg/m3 and 124.71 ± 64.38 μg/m3 for PM2.5 in summer and winter seasons, respectively. For PM10, the concentration of TC varied from 34.52 to 289.21 μg/m3 with an average of 181.50 ± 87.38 μg/m3 (for summer season) and it ranged between 44.04 and 300.02 μg/m3 with an average of 191.04 ± 87.98 μg/m3 (winter season), respectively. No significant difference between particulate concentration and weather parameters was observed. Similarly, results of air quality index (AQI) and pollution index (PI) stated that the air quality of Faisalabad ranges from poor to severely pollute. In terms of AQI, moderate pollution was recorded on sampling sites in the following order; Ittehad Welfare Dispensary > Saleemi Chowk > Kashmir Road > Pepsi Factory, while at Nazria Pakistan Square and Allied Hospital, higher AQI values were recorded. The analysis and results presented in this study can be used by policy-makers to apply rigorous strategies that decrease air pollution and the associated health effects in Faisalabad.

Impact of COVID-19 Induced Lockdown on Air Pollution and Remediation Measures

Air pollution is reported to have reduced to a level that has not been recorded since the end of World War (II), and this is largely due to the global lockdown imposed to curb the spread of the novel Coronavirus disease (COVID-19) across the globe, hence the need for a review, interpretation and harmonisation of the available literature in this regard. Attempt is made from the available literature in elaborating the generality of the concepts of air pollution from the perspective of the global lockdown due to the COVID-19 pandemic. The synergy between the lockdown and decreased air pollution in relation to climate change, is explored. Various health and environmental consequences of air pollution and climate change are outlined. Major ailments and mortalities associated to air pollution are bound to decrease due to reduction in air pollution, and this is affirmed. We highlight some achievable control measures and techniques for tackling air pollutants in line with the principles of green chemistry for re-consideration under reviewed policies and guidelines by governments, stakeholders and policy-makers. Additionally, we propose some new remediation measures and policies that could be harnessed and deliberated upon by stakeholders and policy-makers to checkmate greenhouse gases emissions, improve air quality and minimise air pollution and climate change. We recommend how these measures could be adopted and implemented for improved health care. Data need to be collated post COVID-19 to ascertain the level of mortalities due to the consequence of air pollution and compare same with the mortality rate for COVID-19.

Improving the gasoline properties by blending butanol-Al2O3 to optimize the engine performance and reduce air pollution

In this study, butanol, as an oxygenate additive and alumina as a nano metal particle, was mixed with pure gasoline. Different blends were tested, and operational tests were done on an engine with different engine speeds. Those additives were added to decrease air pollution due to the higher oxygen content of butanol, which can make combustion more complete, and nano metal additive, which has suitable potential to enhance engine performance, especially Brake Specific Fuel Consumption (BSFC). The results indicate that adding the additives mentioned above to the pure gasoline has led to an increase the engine performance. In this regard, the engine power has increased by 10% by adding alumina. Moreover, combining the base gasoline with additives enhances CO2 and reduces NOx and emissions of hydrocarbons. In this research, carbon monoxide was diminished by adding alcohol up to 50% in some conditions, and the emitted hydrocarbons through the atmosphere were declined by up to 20%. Moreover, optimization results showed that higher optimization is achieved when 5% of butanol and 1 g of alumina are used. Under these conditions, the results of CO, CO2, NOx and HC emissions were 1.099, 4.699, 113.9 and 77.5 ppm, respectively.

Quantifying the reductions in mortality from air-pollution by cancelling new coal power plants

Deep decarbonization paths to the 1.5 °C or 2 °C temperature stabilization futures require a rapid reduction in coal-fired power plants, but many countries are continuing to build new ones. Coal-fired plants are also a major contributor to air pollution related health impacts. Here, we couple an integrated human-earth system model (GCAM) with an air quality model (TM5-FASST) to examine regional health co-benefits from cancelling new coal-fired plants worldwide. Our analysis considers the evolution of pollutants control based on coal plants vintage and regional policies. We find that cancelling all new proposed projects would decrease air pollution related premature mortality between 101,388–213,205 deaths (2–5%) in 2030, and 213,414–373,054 (5–8%) in 2050, globally, but heavily concentrated in developing Asia. These health co-benefits are comparable in magnitude to the values obtained by implementing the Nationally Determined Contributions (NDCs). Furthermore, we estimate that strengthening the climate target from 2 °C to 1.5 °C would avoid 326,351 additional mortalities in 2030, of which 251,011 (75%) are attributable to the incremental coal plant shutdown.

Is Current Pandemic Situation Helping to Decrease Air Pollution

Is Current Pandemic Situation Helping to Decrease Air Pollution

The effect of small green walls on reduction of particulate matter concentration in open areas

A major concern in urban areas is the low quality of air, with high levels of particulate matter (PM), consisting of black carbons, volatile organic compounds and various pollutants that are hazardous for the human health and the global environment. Thus, there is an urgent need to decrease air pollution by implementing various short and long-term measures. One of the methods for decreasing air pollution in urban areas is increasing the green infrastructure as plants absorb the particulate matter through their leaves and stems. The initial step in dealing with this problem is raising the public awareness, which is generally low in Skopje and the Balkan region.The aim of the research is to quantify the positive effects on green infrastructure on air pollution and provide research-based inputs that can be used by local governments and decision makers. This paper presents data from continuous measurements on a location in Skopje, provides an assessment of the influence of green zones on air quality in urban areas and correlates it with meteorological factors. This is achieved by using an innovative, low-cost, easy replicable and energy-efficient system, consisted of green wall and stations for monitoring the air quality which are based on wireless sensor network technology.By using statistical tools as Freidman and Mann-Whitney tests, the impact of the relative position of the measurement sensors and the green areas and other objects to the PM concentrations is quantified. The performed analyses confirm that green areas, including green walls, have a high impact in the reduction of PM concentrations in their proximity.The differences in measured values obtained by measurement nodes positioned in relatively small distances are not negligible, thus implying that the relative position of the measurement nodes to the green infrastructure influences the measured PM concentrations. Therefore, the measurement location should be carefully considered for any air quality monitoring system. Measurements with higher spatial granularity should be used for modelling and air quality forecasting purposes.The results in this paper show that the green area mitigates the PM of 2.5 or less micrometers (PM2.5) on average by 25% and PM of 10 or less micrometers (PM10) on average by 37% compared to the neighboring non-green areas. The results show a strong correlation between PM2.5 and PM10. In Skopje, the combination of low temperatures, high humidity and no, or low wind speed lead to high PM concentrations.The presented algorithm compares the statistically obtained data to the reference categories from WHO (from very low to very high, with reference to PM2.5). The described methodology is used to develop a simple decision-making support algorithm for local governments to support their decisions on applying PM mitigation measures.

COMPARISON OF AIR POLLUTION COST ON THE DIFFERENT ROAD CORRIDORS

The concentration of activities in the certain areas triggers traffic movements. Different land use generates different amount of traffic, causing different level of traffic delay and air pollutant. Currently, an appropriate policy has not formulated to overcome the concentration of activities related to different road corridors. Therefore, traffic demand management (TDM) should be arranged in order to decrease air pollution regarding to different road corridors. For this reason, this study estimates traffic performance and social costs due to air pollutant emission for different land uses in the city of Malang, East Java, Indonesia. This analysis is based on IHCM (Indonesian Highway Capacity Manual). An approach to estimating pollution costs is based on speed and travel distance in each road corridor. Highway performance for warehousing area has a poor service level. Based on speed analysis, huge concentrations of air pollution such as NO, HC and CO2 have a significant negative impact on the road corridor as a warehousing area. Another analysis based on travel distance also resulted in the highest air pollution cost on road corridor as a warehousing area. To minimize air pollution cost, the local government should have an effort to reduce air pollution cost by implementing TDM strategies such as minimizing road side friction.

Has the anti-corruption campaign decreased air pollution in China?

Abstract Few studies have estimated the contribution made by anti-corruption to air pollution levels. Using city-level data for the period from 2009 to 2016, this paper analyzes the effects of China's 2013 anti-corruption campaign on air pollution levels. The anti-corruption campaign being implemented by the Chinese government since 2013 is treated as an exogenous policy shock, and a multi-period difference in differences model is used to examine the effects of the campaign on air pollution levels. This study further conducts mechanism analysis from two aspects: environmental regulation and economic development to illustrate the potential mechanism of the effects of the anti-corruption campaign on air pollution. Our results indicate that the anti-corruption campaign has reduced air pollution by 20.3% and that this pollution-reduction effect of anti-corruption is heterogeneous in terms of urban resource attribute and geographical difference. The mechanism analysis also suggests that this pollution reduction effect could be achieved partially through the increased intensity of environmental regulations and the increase in economic development.

Air quality mitigation in European cities: Status and challenges ahead

Cities are currently at the core of air quality (AQ) improvement. The present work provides an overview of AQ management strategies and outcomes in 10 European cities (Antwerp, Berlin, Dublin, Madrid, Malmö, Milan, Paris, Plovdiv, Prague, Vienna) in 2018, and their evolution since 2013 (same cities, plus Ploiesti and Vilnius), based on first-hand input from AQ managers. The status of AQ mitigation in 2018, and its evolution since 2013, were assessed. While results evidenced that the majority of mitigation strategies targeted road traffic, emerging sources such as inland shipping, construction/demolition and recreational wood burning were identified. Several cities had in 2018 the ambition to continue decreasing air pollution concentrations to meet WHO guidelines, an ambition which had not yet been identified in 2013. Specific needs identified by all of the cities assessed were tools to quantify the effectiveness of mitigation strategies and for cost-benefit analysis, as well as specific and up to date technical guidance on real-world road vehicle emissions. The cities also requested guidance to identify mitigation measures promoting co-benefits, e.g., in terms of AQ, climate change, and noise. Support from administrations at local-regional-national-EU scales, and especially involving local policy-makers early on in the air quality management process, was considered essential. This work provides insight into the drivers of successful/unsuccessful AQ policies as well as on the challenges faced during their implementation. We identify knowledge gaps and provide input to the research and policy-making communities as to specific needs of cities.

Unexpected rise of ozone in urban and rural areas, and sulfur dioxide in rural areas during the coronavirus city lockdown in Hangzhou, China: implications for air quality.

The outbreak of coronavirus named COVID-19, initially identified in Wuhan, China in December 2019, has spread rapidly at the global scale. Most countries have rapidly stopped almost all activities including industry, services and transportation of goods and people, thus decreasing air pollution in an unprecedented way, and providing a unique opportunity to study air pollutants. While satellite data have provided visual evidence for the global reduction in air pollution such as nitrogen dioxide (NO2) worldwide, precise and quantitative information is missing at the local scale. Here we studied changes in particulate matter (PM2.5, PM10), carbon monoxide (CO), NO2, sulfur dioxide (SO2) and ozone (O3) at 10 urban sites in Hangzhou, a city of 7.03 million inhabitants, and at 1 rural site, before city lockdown, January 1–23, during city lockdown, January 24-February 15, and during resumption, February 16–28, in 2020. Results show that city lockdown induced a sharp decrease in PM2.5, PM10, CO, and NO2 concentrations at both urban and rural sites. The NO2 decrease is explained by reduction in traffic emissions in the urban areas, and by lower regional transport in rural areas during lockdown, as expected. SO2 concentrations decreased from 6.3 to 5.3 μg m−3 in the city, but increased surprisingly from 4.7 to 5.8 μg m−3 at the rural site: this increase is attributed both to higher coal consumption for heating and emissions from traditional fireworks of the Spring Eve and Lantern Festivals during lockdown. Unexpectedly, O3 concentrations increased by 145% from 24.6 to 60.6 μg m−3 in the urban area, and from 42.0 to 62.9 μg m−3 in the rural area during the lockdown. This finding is explained by the weakening of chemical titration of O3 by NO due to reductions of NOx fresh emissions during the non-photochemical reaction period from 20:00 PM to 9:00 AM (local time). During the lockdown, compared to the same period in 2019, the daily average concentrations in the city decreased by 42.7% for PM2.5, 47.9% for PM10, 28.6% for SO2, 22.3% for CO and 58.4% for NO2, which is obviously explained by the absence of city activities. Overall, we observed not only the expected reduction in some atmospheric pollutants (PM, SO2, CO, NO2), but also unexpected increases in SO2 in the rural areas and of ozone (O3) in both urban and rural areas, the latter being paradoxically due to the reduction in nitrogen oxide levels. In other words, the city lockdown has improved air quality by reducing PM2.5, PM10, CO, and NO2, but has also decreased air quality by augmenting O3 and SO2.Electronic supplementary materialThe online version of this article (10.1007/s10311-020-01028-3) contains supplementary material, which is available to authorized users.

Air Pollution, Government Pollution Regulation, and Industrial Production in China

Over the last four decades, a severe deterioration in air quality has accompanied China’s rapid industrialization. As a result, the Chinese government has implemented stricter policies and regulation to control air pollution. In this paper, the authors create a measure of government policies on air pollution by tracking all pollution-related government announcements in Chinese newspapers. The authors then use this variable, along with measures of actual pollution, to investigate how air pollution, industrial production, and government policies on air pollution are interrelated. The authors conduct this investigation nationwide, as well as in five large cities in China. A vector autoregression model suggests that, nationwide, government policies seem to decrease air pollution without significantly affecting industrial production. However, the effect appears to be short-lived, dissipating after a few months. In addition, the authors find that the dynamic relationship among these variables differs by city. For instance, following an adverse air quality shock in Beijing, government efforts to control pollution seem to have an ameliorating city-wide effect, decreasing local air pollution in subsequent months. In Shanghai and Guangzhou, while the local government reacts to adverse air pollution shocks, the ameliorating effects are not statistically significant. In Chengdu and Shenyang, the authors detect no significant local government reaction to adverse air pollution shocks. Moreover, in these cities, local government policies do not impart a statistically measurable effect on air pollution.

Spatial planning for urban ventilation corridors by urban climatology

ABSTRACT Ventilation corridors in cities can decrease air pollution and alleviate heat island problems but there remains a need to fully assess their effectiveness. Few urban managers have been able to take city-scale approaches to the construction of urban ventilation corridors. This study aimed to introduced the Ventilation Corridor Planning (VCP) model, which is a multi-criteria evaluation method combined with a geographical information system (GIS) to determine where the ventilated environment is most appropriate. Specifically, the VCP model took Bozhou, China as the research object and contained two scales, including mesoscale and local scale. In mesoscale scale, we got three outputs to build urban ventilation corridors, including 1) background wind environment, 2) ventilation potential, 3) heat island intensity. In local scale, we used traditional computational fluid dynamics (CFD) model to verify the impact of VCP criteria. The results revealed that compared with the traditional CFD model, the proposed VCP model has advantages in establishing a comprehensive evaluation standard. In addition, the application of VCP model in macro and micro also enhances the efficiency of ventilation corridor construction. Overall, this study introduced a effective modeling method to urban ventilation corridors planning, and provide a way to study the urban climate.

Wind Turbine Technology: A Strategy to Mitigate Air Pollution through Utilising Wind Energy

The drive to increase the implementation of alternative sustainable sources is a continuous challenge. The rising awareness of environmental impacts has led the public to demand the development of eco-friendly and dependable long-term solutions. Wind energy is acknowledged as among the best renewable energy sources with proven capabilities. The key contributing factor in defining the harnessing effectiveness is the wind availability and efficiency of the wind turbines at the specific wind conditions. But due to the non-uniform wind distribution and the limitations of the existing wind turbines at low wind speeds, countries with lower wind speed are still far away from exploiting wind energy.According to the World Energy Commission, the use of one million kWh of wind power can save 600 tons of CO2 emission. An examination into current energy data for Malaysia indicates that only 0.23% of the wind and solar power combined is employed for electricity production as of 2017. This is due to very low wind speed in this region throughout the year. It is also a leading factor to air-pollutants being suspended in the atmosphere for a longer period. It will impact an imbalance in the environmental conditions, such as acid rain, global warming, rise in sea-level and fluctuating sea levels.This paper reports an investigation into the potential impact of utilizing the advantages of wind energy technology in low speed wind regions as an air-pollutant free energy source, to contribute to the overall reduction of the Air Pollutant Index (API) in localized, impacted areas of Malaysia. This research conducted presents the strategy to utilize low speed wind turbines to decrease air pollution while the system is either On-grid or Off-grid.

RGB Vegetation Indices, NDVI, and Biomass as Indicators to Evaluate C3 and C4 Turfgrass under Different Water Conditions

Grasslands have a natural capacity to decrease air pollution and a positive impact on human life. However, their maintenance requires adequate irrigation, which is difficult to apply in many regions where drought and high temperatures are frequent. Therefore, the selection of grass species more tolerant to a lack of irrigation is a fundamental criterion for green space planification. This study compared responses to deficit irrigation of different turfgrass mixtures: a C4 turfgrass mixture, Cynodon dactylon-Brachypodium distachyon (A), a C4 turfgrass mixture, Buchloe dactyloides-Brachypodium distachyon (B), and a standard C3 mixture formed by Lolium perenne-Festuca arundinacea-Poa pratensis (C). Three different irrigation regimes were assayed, full irrigated to 100% (FI-100), deficit irrigated to 75% (DI-75), and deficit irrigated to 50% (DI-50) of container capacity. Biomass, normalized difference vegetation index (NDVI), green area (GA), and greener area (GGA) vegetation indices were measured. Irrigation significantly affected the NDVI, biomass, GA, and GGA. The most severe condition in terms of decreasing biomass and vegetation indices was DI-50. Both mixtures (A) and (B) exhibited higher biomass, NDVI, GA, and GGA than the standard under deficit irrigation. This study highlights the superiority of (A) mixture under deficit irrigation, which showed similar values of biomass and vegetation indices under full irrigated and deficit irrigated (DI-75) container capacities.

The effect of air pollution on criminal activities: Evidence from the NOx Budget Trading Program

This paper examines the impacts of air pollution on criminal activities by exploiting three dimensions of variations observed under a rich quasi-experiment: the NOx Budget Trading Program. This program has been well documented to decrease air pollution concentrations in participating states. Employing a triple-difference estimator, we find evidence showing that the program significantly reduced violent and property crimes in participating states by roughly 3.7% and 2.9%, respectively. Instrumental variable estimates suggest that lowering air pollution may play an important role in reducing criminal behaviors.

Application of electron accelerator for flue gas treatment of coal power plant to support green technology

Fossil fuels, which include coal, natural gas, petroleum, shale oil, and bitumen, are the main source of heat and electrical energy, but burning these fuels will emit pollutants to the environment. Most countries use coal burning power plant in generating electricity for living needs such as household electricity and industrial development. This power plant generates large quantities of pollutants (SOX and NOX) that create acid rain and smog leading to the water and soil degradation and they can affect living things. To meet rising worldwide energy demand, projections call for the use of coal to increase by 50 percent from 2006 - 2030, as a consequence SOX and NOX pollutions will rise. There are two conventional technologies to decrease air pollution from coal power plant, the first is FGD (flue gas desulfurization) based on SO2 absorption in lime or limestone slurry; and the second is SCR (selective catalytic reduction) based on NOx reduction over a catalyst to atmospheric nitrogen with ammonia as a reductant. But these technologies cannot treat different pollutants in one step process. To support green technology program, this paper describes a modern technology called EBFGT (electron beam flue gas treatment) which can treat SOx and NOx in one step process using electron accelerator. The technology and economy comparison between FGD, SCR, EBFGT as well as the existing EBFGT in the world are compiled.