uniciencia
Revista UNICIENCIA
Uniciencia Vol. 35(2), July-December, 2021
E-ISSN: 2215-3470
DOI: https://dx.doi.org/10.15359/ru.35-2.5


Preliminary inventory of atmospheric emissions (SO2, NOx and TSP) from different industrial sectors in Costa Rica

Inventario preliminar de emisiones atmosféricas (SO2, NOx y PTS) de diferentes sectores industriales en Costa Rica

Inventário preliminar de emissões atmosféricas (SO2, NOx e PTS) de diferentes setores industriais na Costa Rica

Daniel Alfaro-Alfaro1Luis Salas-Morelli1Bryan Sánchez-Mejías1
José Mora-Barrantes2José Pablo Sibaja-Brenes2Henry Borbón-Alpízar2

Received: Jan/27/2020 • Accepted: Sep/6/2020 • Published: Jul/31/2021

Abstract

The use of fuels, urbanization growth, and economic development have influenced the generation of atmospheric pollutants such as NOx (nitrogen oxides), SO2 (sulfur dioxide), and TSPs (Total Suspended Particles). The Costa Rican industrial sector has different category companies such as glass melting and manufacturing of food products and clothing, which release emissions of these pollutants into the atmosphere. The main objective of this research is to generate a preliminary inventory of atmospheric emissions (NOx, SO2, and TSP) from different industrial sectors in Costa Rica. The inventory was conducted in 2019 and included samplings and measurements of pollutants from chimneys of different production processes (companies) from 2014 and 2015. The sampling and the corresponding measurement of pollutant concentrations (NOx, SO2 and TSP) were conducted using Testo 350 to measure NOx and SO2 and an APEX portable particle counter to quantify TSPs. Data was tabulated using Microsoft Excel, while graphics were generated using R programming language in the R studio interface. The industrial sector entitled “manufacturing of food products” presents the highest amounts of pollutants, with values equal to 1246.14 tons/year, 1959.54 tons/year and 651.01 tons/year for NOx, SO2, and TSP, respectively, for 2014; and 2,622.14 tons/year, 3,257.64 tons/year and 346.40 tons/year, respectively, for 2015.

Keywords: inventory; gaseous emissions; atmospheric pollution; NOx; SO2; TSP; Costa Rica

Resumen

El uso de diversos combustibles, el incremento de la urbanización, y el desarrollo económico, han influido en la generación de contaminantes atmosféricos, tales como los NOx (óxidos de nitrógeno), el SO2 (dióxido de azufre) y las PTS (partículas totales en suspensión). El sector industrial en Costa Rica cuenta con empresas de diferentes categorías como las de elaboración de productos alimenticios, fundición de vidrio, fabricación de prendas de vestir, entre otras, las cuales generan en sus procesos, emisiones de estos compuestos a la atmósfera. El presente proyecto de investigación tiene como objetivo principal generar un inventario preliminar de las emisiones atmosféricas (NOX, SO2 y PTS) de diferentes sectores industriales de Costa Rica. El inventario se realizó durante el 2019, considerando los resultados de muestreos y mediciones de los contaminantes provenientes de las chimeneas de diferentes procesos productivos (empresas) durante los años 2014 y 2015. El muestreo y la correspondiente medición de la concentración de los contaminantes (NOX, SO2 y PTS) se llevó a cabo mediante el uso del Testo 350 para la medición de los NOx y del SO2, y el contador portátil de partículas marca APEX para la cuantificación de PTS. La tabulación de datos utilizó el programa Microsoft Excel, utilizándose además el lenguaje de programación R, en la interfaz de R Studio para la generación de los gráficos. El sector industrial “elaboración de productos alimenticios” reporta las mayores concentraciones de contaminantes, con valores de 1 246,14 ton/año, 1 959,54 ton/año y 651,01 ton/año para NOX, SO2 y PTS, respectivamente en el 2014; y 2 622,14 ton/año, 3 257,64 ton/año y 346,40 ton/año respectivamente para el 2015 en estos mismos contaminantes.

Palabras clave: emisiones gaseosas; contaminación atmosférica; NOX; SO2; PTS; Costa Rica.

Resumo

O uso de diversos combustíveis, o aumento da urbanização, e o desenvolvimento econômico influenciaram na geração de poluentes atmosféricos, tais como os NOx (óxidos de nitrogênio), o SO2 (dióxido de enxofre) e as PTS (Partículas Totais em Suspensão). O setor industrial na Costa Rica conta com empresas de diferentes categorias como as de elaboração de produtos alimentícios, fundição de vidro, fabricação de vestuário, entre outras, geradoras, em seus processos, de emissões destes compostos na atmosfera. O presente projeto de pesquisa tem como objetivo principal a geração de um inventário preliminar das emissões atmosféricas (NOx, SO2 e PTS) de diferentes setores industriais da Costa Rica. O inventário foi realizado durante o ano de 2019, considerando os resultados de amostragens e medições dos poluentes provenientes das chaminés de diferentes processos produtivos (empresas) durante os anos 2014 e 2015. A amostragem e a correspondente medição da concentração dos poluentes (NOx, SO2 e PTS) foram levadas a cabo mediante o uso do Testo 350 para a medição dos NOx e do SO2, e o contador portátil de partículas da marca APEX para a quantificação de PTS. A tabulação de dados foi realizada no programa Microsoft Excel, usando, também, a linguagem de programação R, na interface de R Studio para a geração dos gráficos. O setor industrial “elaboração de produtos alimentícios” produz as maiores concentrações de poluentes, com valores de 1.246,14 ton/ano, 1.959,54 ton/ano e 651,01 ton/ano para NOx, SO2 e PTS, respectivamente em 2014; e 2.622,14 ton/ano, 3.257,64 ton/ano e 346,40 ton/ano respectivamente em 2015 nestes mesmos poluentes.

Palavras-chave: emissões gasosas; contaminação atmosférica; NOx; SO2; PTS; Costa Rica.

INTRODUCTION

Economic development, urbanization, and the dependence on fossil fuels, as a means of obtaining energy, have led to the deterioration in air quality in both developed cities as well as in industrial growing cities (Zhao et al., 2013). Anthropogenic activities are the main source of high concentrations of pollutants in the atmosphere (Yang et al., 2017, Wang et al., 2017 & Fujii et al., 2016).

Sulfur dioxide (SO2), nitrogen oxides (NOx), and Total Suspended Particles (TSP) are three of the main types of anthropogenic pollutants most frequently found in the atmosphere. Not only do SO2 and NOx hinder visibility, but they also generate adverse effects on human health and in the preservation of the constantly exposed ecosystem. Some of the consequences of these gaseous emissions are: a) Production of acid rain, b) Destruction of the ozone layer and an c) Increase in tropospheric ozone (Marć et al, 2016, Yang et al., 2018 & Ying et al., 2007).

On the other hand, other pollutants, such as TSPs, have generated great interest in terms of their composition as they can contain carcinogenic substances, such as some volatile organic compounds. Similarly, TSPs act as precursors in the formation of secondary aerosols (Hu et al., 2019), in addition to altering the vertical extension, life and optical properties of clouds by forming condensation nuclei and consequently, the composition of precipitation (Joos et al., 2017).

The main source of anthropogenic NOx and SO2 emissions is the combustion of fossil fuels and coal, represented in biomass burning, the main source of emissions (Fioletov et al., 2015). With regard to TSPs, their sources are varied and their composition is quite complex, as they can be comprised of volatile organic compounds, as well as inorganic complexes, some of which may be toxic to human health, such as lead (Chen et al., 2015).

Soil erosion, ocean motion and wildfires are three of the main TSP sources (Ayrault et al., 2010 & Ali et al., 2012). In addition to anthropogenic sources, there are natural sources that contribute to gaseous emissions, for example, the higher impact of NOx resulting from microbial activity in soils and lightning discharge from electrical storms (Zhang, 2012). SO2, on the other hand, is released naturally mainly by volcanic activity (Ge et al., 2017).

Continued NOx and SO2 inhalation can cause cardiorespiratory problems such as arrhythmia, worsening of existing respiratory problems like asthma, as well as higher susceptibility of getting a respiratory infection. Continued exposure to TSPs can also generate the same health effects as NOx and SO2; however, contingent upon their composition, they may be associated even with the development of lung cancer (McGranahan, 2012).

As for Costa Rica, the main commercial and industrial activities concentrate in the Greater Metropolitan Area (GAM). While this region covers only 3.8 % of the territory, it is home to 70 % of the vehicle fleet, 60 % of the population and 85 % of the industry, according to data from the National Institute of Statistics and Censuses (INEC, 2016). Characterized by radial growth, this area has given way to the conurbation of the four main cities, Alajuela, Heredia, San José and Cartago (Herrera et al., 2016).

According to the 2011 Pollutant Emissions Inventory of Costa Rica, 418663 tons of carbon monoxide (CO) were generated in the GAM, as well as 64640 tons of nitrogen oxides (NOx), and 6149 tons of PM10, with light-duty vehicles accounting for more than half of the PM10 particles and private cars as the main NOx and CO generators (Herrera et al., 2017).

The amount of air pollution must be quantified to determine the level of the problem and to generate actions in the field of air quality management. There are different methodological tools to calculate the amount of pollutants in the environment, such as monitoring systems and emissions inventories.

Moreover, they serve as technical input to create correlational studies, using modeling techniques, and to suggest alternatives for reducing pollution (Herrera et al., 2016). The main objective of this research is to elaborate a preliminary inventory of gaseous NOX, SO2 and TSP emissions released from chimneys in different companies in Costa Rica, identifying those industrial sectors with the most pollutant emissions.

The information gathered will facilitate decision-making to improve air quality and serve as preliminary input for a baseline concentration of NOX, SO2 and TSP emissions from the industrial sectors studied.

METHODOLOGY

Study population

The sampling points correspond only to stationary sources (chimneys) of gaseous and solid emissions (SO2, NOX and TSP) in companies from different industrial sectors. These companies are classified according to the International Standard Industrial Classification (ISIC Code) (National Institute of Statistics and Censuses, 2016). SO2, NOx and TSP measurements were carried out over a period of two years (2014 and 2015). The classification of industries evaluated is shown in the following table.

Table 1. Classification of production sectors, sector ID and number of industries evaluated in the 2014-2015 period

Production sector

Identification

Amount of industries in 2014

Amount of industries in 2015

Human healthcare activities

A

2

1

Accommodation

B

2

2

Building construction

C

1

1

Food products manufacturing

D

29

23

Tobacco products manufacturing

E

1

1

Technical tests and analyses

F

1

0

Manufacturing of soaps and detergents, etc.

G

0

1

Garment manufacturing

H

2

0

Manufacturing of pharmaceutical products, chemical medicinal products, etc.

I

2

1

Manufacturing of textile products

J

1

1

Manufacturing of chemical substances and products

K

1

1

Glass and glass products manufacturing

L

1

1

Metal casting

M

1

1

Total

-

44

32

Note: Our own source

SO2, NOX and TSP sampling

For the measurement of NOx and SO2, the Testo 350 equipment was used, which allows for measuring at high gas concentrations and handles changes in differential pressure and speed to achieve flow measurements (Testo, 2019 & Xie et al., 2019). For TSP quantification, a portable APEX particle counter with high-range data recording and ease of handling was used (Zamtsu, 2019). The quantification of the concentrations for the study parameters is carried out in situ, using the equipment described above.

Data processing

The information was collected on an Excel sheet, namely, industry name, location, number of sampling points, sampling date, as well as data from the emissions sampling such as: flow (m3/h), SO2 (mg/Nm3), TSPs (mg/Nm3), NOx (mg/Nm3), SO2 (tons/year), TSPs (tons/year), NOx (tons/year). The statistical analysis and graphs were generated in the R programming language, in the R Studio interface, with the ggplot2, rgeos and rgdal data packages; ensuring a better agglomeration of results for interpretation purposes.

Quantification of emissions

To quantify the emissions from the tested chimneys, each fixed industrial source was subjected to an average with respect to the number of samplings carried out. In the case of several fixed sources from the same company, the values are added to determine their total emissions and the total contribution by production sector (Table 1). This value is then transformed using Equation 1 into an annual projection of pollutant tons. The conversion factor is composed of the hours-to- year conversion multiplied by the milligrams-to-tons-of-pollutant conversion, as shown in the following equation:

Equation 1. Determining the annual pollutant concentration in tons/year

ANALYSIS AND RESULTS

Study population

According to Table 2, 151 samples were obtained in both years, namely 78 chimneys from 44 companies in 2014, and 91 chimneys from 32 companies in 2015. Most of the samples were obtained in 2014. Food products manufacturing accounted for the most industrial samples, with 29 companies in 2014 and 22 companies in 2015.

On the contrary, only one company was evaluated from the following industrial sectors: Building construction, manufacturing of tobacco products, manufacturing of textile products, substance manufacturing and chemical products, glass and glass products manufacturing, and metal casting.

Table 2. Number of samples, chimneys, companies and industrial sectors evaluated

Amount

2014

2015

Samples

92

59

Chimneys

78

91

Companies

44

32

Industrial sector

12

10

Note: Our own source.

Gaseous NOx emissions

Graph 1 contains industrial NOx concentration data (tons/year) released during the period studied, with 2015 as the year with the highest amount of emissions. Of the 13 industrial sectors, 11 had NOx concentrations under 50 tons/year, which correspond to human healthcare activities, accommodation, building construction and technical tests and analyses and had concentrations of 1.36, 0.85, 0.43 and 0.24 tons/year, respectively, for the year 2014, and 0.30, 1.02, and 0.28 tons/year for the year 2015. (No evaluations were carried out for the technical testing and analyses sector during the year 2015).

Graph 1. NOx concentration in tons/year for the different production sectors sampled in Costa Rica, for the years 2014 and 2015. (Graph A: Production sectors between 0 and 30 NOx tons/year; Graph B: Production sectors between 250 and over 1500 tons/year).

Note: Our own source.

Lower NOx emission contributions are explained by the minimum energy and heat demands required by these sectors due to the nature of their production process, with industrial sectors mainly engaged in public services as opposed to product manufacturing.

On the other hand, the glass manufacturing, glass products and food products manufacturing sectors accounted for the highest industrial gaseous NOx emissions, with concentrations of 904.19 and 1246.14 tons/year, respectively, for the year 2014, and of 1630.99 and 991.16 tons/year in 2015.

Those higher concentrations are explained by the fact that combustion of different sources such as fossil fuels, natural gas and coal, as well as the burning of biomass to obtain energy (Souri et al., 2016; Fan et al., 2017) produce NOx. These industrial sectors have a high production volume and non-stop process and operation schedules requiring high temperatures.

These operating characteristics are the main cause of the high NOx emission values (Hu et al., 2019). Furthermore, they indicate that the glass manufacturing, glass products and food products manufacturing sectors contain the largest number of industries sampled. In particular, the glass and glass products manufacturing sector present a raw material smelting process, for which temperatures between 1000 °C and 1500 °C (Garrido et al., 2019) are required.

Other industrial sectors, such as soap manufacturing (with 17.45 tons/year in 2015) and pharmaceutical products manufacturing (with 12.74 tons/year in 2014 and 33.05 tons/year in 2015), report intermediate NOx values due to their minimal calorific requirement to complete reactions and/or syntheses and for product manufacturing purpose when compared to other industrial sectors (Hu et al., 2019).

In the case of the garment and textile product manufacturing sectors, values of 12.94 and 7.57 tons/year are reported for 2014, respectively, and 11.90 tons/year only for the textile products manufacturing sector for 2015. These values correspond to the high electricity consumption used for conversion into mechanical energy, in addition to the use of calorific energy for the different heating processes (Khude, 2017).

Gaseous SO2 emissions

Graph 2 contains data on the industrial SO2 concentration (tons/year) released during the period studied, with 2014 as the year with the highest amount of emissions. Of the 13 industrial sectors, 4 had SO2 concentrations under 0.70 tons/year, and 7 presented concentrations between 70 and 150 SO2 tons/year, with the lowest concentrations in human healthcare activities and technical tests and analyses, presenting emissions of 0.20 and 0.011 tons/year in 2014, respectively, and 0.13 tons/year for the human healthcare sector in 2015. These values are explained mainly by the limited energy and calorific demand in their production processes, as well as the final service provided (customer service).

Graph 2. SO2 concentration in tons/year for the different production sectors sampled in Costa Rica, for the years 2014 and 2015. (Graph A: Production sectors between 0.0 and 0.7 SO2 tons/year; Graph B: Production sectors between 15 and 150 SO2 tons/year; Graph C: Production sectors between 250 and over 2500 SO2 tons/year).

Note: Our own source.

On the other hand, the food products manufacturing, glass and glass products manufacturing sector accounted for the highest gaseous SO2 emissions, with concentrations of 1959.94 and 547.29 tons/year, for the year 2014, 2453.60 and 804.05 tons/year, respectively, for 2015 (Graph 2, in graph C). These two industrial sectors present high SO2 values due to the high production temperatures (1000 °C to 1500 °C), with higher fuel combustion, thus generating greater sulfur dioxide concentrations.

In contrast, industrial sectors such as soap manufacturing, pharmaceutical products manufacturing, textile product and garment manufacturing have intermediate SO2 emission values (Graph 2, Graph B), which is mainly due to their low energy requirements -and lower combustion temperatures and fossil fuel consumption- as a result thereof.

Gaseous TSP emissions

Graph 3 contains data on the industrial TSP concentration (tons/year) released during the period studied, with 2014 as the year with the highest amount of emissions. Of the 13 industrial sectors, 11 have TSP concentrations under 5.0 tons/year, and 2 present concentrations under 700 tons/year. The lowest concentrations correspond to the building construction and technical tests and analyses sectors, with emissions of 0.30 and 0.18 tons/year in 2014, respectively, and 0.032 tons/year, for 2015, in the case of the building construction sector. Lower TSP values (tons/year) are explained mainly by the lower energy and calorific demands in their internal processes; these industrial sectors use smaller amounts of fuel to generate heat energy (compared to the other industrial sectors).

Graph 3. TSP concentration in tons/year for the different production sectors sampled in Costa Rica in 2014 and 2015. (Graph A: Production sectors between 0.0 and 4.5 TSP tons/year, graph B: Production sectors between 50 and 650 TSP tons/year).

Note: Our own research source.

On the other hand, the food products manufacturing, glass and glass products manufacturing sector account for the most emissions, with concentrations 651.01 and 54.60 tons/year, respectively, for the year 2014, and 334.09 and 12.64 tons/year for 2015. These sectors (Graph 3, Graph B) show much higher values (tons/year) compared to the other sites studied mainly because of higher fossil fuel consumption in final product manufacturing.

However, higher TSP emissions were reported in the food products manufacturing sector (D), for both years, compared to the glass and glass products manufacturing sector (L). This is explained mainly due to the higher organic matter consumption in Sector D’s production process leading to a greater amount of particles, other than those from the burning of fossil fuel in both industrial sectors (D and L).

Gaseous emissions (NOX, SO2 and TSP) from the industrial sector: Food processing

As discussed earlier, the food products manufacturing sector accounts for the highest amount of gaseous NOX, SO2 and TSP emissions for the years 2014 and 2015. The gaseous emissions for the different industrial activities comprising this sector are shown in graph 4, as well as information on pollutant concentrations in tons/year (NOX, SO2 and TSP) for those activities.

Graph 4. Pollutant concentrations in tons/year per industrial activity comprising the food products manufacturing in Costa Rica for the years 2014 and 2015. (Graph A: SO2 concentration, graph B: NOX concentration, graph C: TSP concentration)

Note: Our own source.

In total, the gaseous emissions of 29 and 22 companies (industrial activities) were quantified for the years 2014 and 2015, respectively. This industrial sector is made up of activities related to the production of oils, fats, beverages, meats, cold cuts, and cane by-products, among others.

With regard to NOX emissions, the vegetable oils and fats, sugarcane by-products, fruit and vegetable products, and coffee roasting and grinding sectors have the highest emission values, with 652.09, 140.40, 123.39, and 249.08 tons/year, respectively, for the year 2014 and 510.61, 91.88, 112.25, and 213.86 tons/year for 2015. The rest of the industrial activities comprising this sector show values under 40 tons/year, both for 2014 and 2015.

The highest gaseous emission values for these industrial activities arise from the above factors, that is, greater demand for fossil fuel consumption because of the energy requirements in final products manufacturing. In the case of sugar and vegetable oils production and coffee roasting, these activities constantly require high production temperatures throughout the process, which generates a greater amount of SO2 and NOx emissions.

As for TSP emissions, these industrial activities differ from the rest due to a larger number of particles generated in final products, such as coffee and sugar.

Total SO2, NOX and TSP emissions (2014 – 2015)

Graph 5 includes the total NOx, SO2 and TSP emissions for the years 2014 and 2015, with SO2 having the highest emissions in tons/year in the company’s studies for both 2014 and 2015. This is due to the use of bunker as the main fuel used to generate calorific energy. This fuel composition includes a 0.0 % to 3.0 % m/m sulfur percentage reported in the product chemical safety datasheet, which also indicates absence of nitrogen in its composition (Recope, 2019).

Graph 5. Total NOx, TSP and SO2 concentrations in tons/year for 2014 and 2015.

Note: Our own source.

CONCLUSIONS

The gaseous SO2, NOX and TSP emissions evaluated refer to a population of 78 industrial chimneys, with 44 industrial activities assessed in the year 2014 and 32 in 2015, and classified into 13 sectors, with the food products manufacturing sector presenting the highest SO2, NOX and TSP emissions for these years.

With regard to the food products manufacturing sector, the gaseous SO2 emissions accounted for 1959.54 and 3257.64 tons/year, respectively, while TSP emissions accounted for 651.01 and 346.40 tons/year and gaseous NOX emissions presented values of 1246.14 and 2622.14 tons/year.

Vegetable oils and fats, sugarcane by-products, fruit products, legumes and vegetables, as well as coffee roasting and grinding top the list of industries with the highest emission for 2014, with 652.09, 140.40, 123.39 and 249.08 tons/year, respectively, and presented values of 510.61, 91.88, 112.25 and 213.86 tons/year for 2015, respectively.

As for the year 2015, the highest SO2 and NOX emission values reported were 3537.29 and 2695.62 tons/year, respectively, while the year 2014 reported the highest total suspended particles (355.82 tons/year).

ACKNOWLEDGMENTS

This work was prepared as part of the Industry Environmental Management Class offered by the Industrial Chemistry Degree Program and the data base of samplings performed by the Atmospheric Chemistry Laboratory (LAQAT-UNA).

AUTHOR CONTRIBUTION STATEMENT

Total contribution by the authors towards conceptualization, preparation, drafting and editing of this article is as follows: D.A.A. 16.7 %, L.S.M. 16.7 %, B.S.M. 16.7 %, J.M.B. 16.7 %, J.P.S.B. 16.7 %, H.B.A. 16.7 %.

DATA AVAILABILITY STATEMENT

The data supporting the findings of this study will be openly available by the respective author [J.P.S.B.] upon reasonable request.

REFERENCES

Ali, K., Budhavant, K. B., Safai, P. D., & Rao, P. S. P. (2012). Seasonal factors influencing in chemical composition of total suspended particles at Pune, India. Science of the Total Environment, 414, 257-267. https://doi.org/10.1016/j.scitotenv.2011.09.011

Ayrault, S., Senhou, A., Moskura, M., & Gaudry, A. (2010). Atmospheric trace element concentrations in total suspended particles near Paris, France. Atmospheric environment, 44(30), 3700-3707. https://doi.org/10.1016/j.atmosenv.2010.06.035

Chen, J., Tan, M., Li, Y., Zhang, Y., Lu, W., Tong, Y., ... & Li, Y. (2005). A lead isotope record of Shanghai atmospheric lead emissions in total suspended particles during the period of phasing out of leaded gasoline. Atmospheric Environment, 39(7), 1245-1253. https://doi.org/10.1016/j.atmosenv.2004.10.041

Fan, W., Li, Y., Guo, Q., Chen, C., & Wang, Y. (2017). Coal-nitrogen release and NOx evolution in the oxidant-staged combustion of coal. Energy, 125, 417-426. https://doi.org/10.1016/j.energy.2017.02.130

Fioletov, V. E., McLinden, C., Krotkov, N., & Li, C. (2015). Lifetimes and emissions of SO2 from point sources estimated from OMI. Geophysical Research Letters, 42(6), 1969-1976. https://doi.org/10.1002/2015GL063148

Fujii, H., & Managi, S. (2016). Economic development and multiple air pollutant emissions from the industrial sector. Environmental Science and Pollution Research, 23(3), 2802-2812. https://doi.org/10.1007/s11356-015-5523-2

Garrido-Zafra, J., Moreno-Munoz, A., Gil-de-Castro, A., Bellido-Outeirino, F., Medina-Gracia, R., & Ballesteros, E. G. (2019). Load Scheduling Approach for Energy Management and Power Quality enhancement in Glass Melting Furnaces. In 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE. https://doi.org/10.1109/EEEIC.2019.8783727

Ge, C., Wang, J., Carn, S., Yang, K., Ginoux, P., & Krotkov, N. (2016). Satellite-based global volcanic SO2 emissions and sulfate direct radiative forcing during 2005–2012. Journal of Geophysical Research: Atmospheres, 121(7), 3446-3464. https://doi.org/10.1002/2015JD023134

Herrera, J., Briceño, J., Rojas, J. F., Solórzano, D. & Beita, V. H. (2016). Informe de calidad del aire del área metropolitana de Costa Rica: Años 2013-2015, p. 75. https://www.ministeriodesalud.go.cr/images/stories/docs/DPAH/2016/DPAH_VI_informe_anual_calidad_aire_GAM_2013_2014.pdf

Herrera, J., Rojas, J. F., Mugica, V., Solórzano, D., & Beita, V. H. (2017). Polycyclic aromatic hydrocarbons in filterable PM 2,5 emissions generated from regulated stationary sources in the metropolitan area of Costa Rica. Atmospheric Pollution Research, 8, 843-849. https://doi.org/10.1016/j.apr.2017.01.007

Hu, Y., Li, Z., Wang, Y., Wang, L., Zhu, H., Chen, L., ... & Liu, A. (2019). Emission factors of NOx, SO2, PM and VOCs in pharmaceuticals, brick and food industries in Shanxi, China. Aerosol Air Qual. Res, 19, 1785-1797. https://doi.org/10.4209/aaqr.2019.06.0304

Instituto Nacional de Estadística y Censo (INEC). (2016). Clasificación de actividades económicas en Costa Rica. San José, Costa Rica. https://www.inec.cr/documento/inec-2011-clasificacion-de-actividades-economicas-de-costa-rica-manual-de-rama-de

Joos, H., Madonna, E., Witlox, K., Ferrachat, S., Wernli, H., & Lohmann, U. (2017). Effect of anthropogenic aerosol emissions on precipitation in warm conveyor belts in the western North Pacific in winter–a model study with ECHAM6-HAM. Atmospheric Chemistry and Physics, 17(10), 6243-6255. https://doi.org/10.5194/acp-17-6243-2017

Khude, P. (2017). A review on energy management in textile industry. Innov Ener Res, 6(169), 2. https://doi.org/10.4172/2576-1463.1000169

Marć, M., Bielawska, M., Simeonov, V., Namieśnik, J., & Zabiegała, B. (2016). The effect of anthropogenic activity on BTEX, NO2, SO2, and CO concentrations in urban air of the spa city of Sopot and medium-industrialized city of Tczew located in North Poland. Environmental research, 147, 513-524. https://doi.org/10.1016/j.envres.2016.03.014

McGranahan, G. (2012). Air pollution and health in rapidly developing countries. Londres, Inglaterra: Earthscan. https://doi.org/10.4324/9781849770460

Recope. (2019). Ficha de datos de seguridad (FDS) del búnker. San José, Costa Rica. Recuperado de: https://www.recope.go.cr/wp-content/uploads/2017/12/FDS-Bunker-V.Final_.pdf

Souri, A. H., Choi, Y., Jeon, W., Li, X., Pan, S., Diao, L., & Westenbarger, D. A. (2016). Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign. Atmospheric environment, 131, 371-381. https://doi.org/10.1016/j.atmosenv.2016.02.020

Testo. (2019). Testo 350. Analizador portátil para emisiones industriales. https://www.testo.com/es-ES/analizador-de-combustion-testo-350/p/0632-3510

Wang, Y., Lai, N., Mao, G., Zuo, J., Crittenden, J., Jin, Y., & Moreno-Cruz, J. (2017). Air pollutant emissions from economic sectors in China: A linkage analysis. Ecological Indicators, 77, 250-260. https://doi.org/10.1016/j.ecolind.2017.02.016

Xie, Y., Dai, H., & Dong, H. (2017). Impacts of SO2 taxations and renewable energy development on CO2, NOx and SO2 emissions in Jing-Jin-Ji region. Journal of Cleaner Production, 171, 1386-1395. https://doi.org/10.1016/j.jclepro.2017.10.057

Yang, M., Ma, T., & Sun, C. (2018). Evaluating the impact of urban traffic investment on SO2 emissions in China cities. Energy Policy, 113, 20-27. https://doi.org/10.1016/j.enpol.2017.10.039

Yang, X., Wang, S., Zhang, W., Zhan, D., & Li, J. (2017). The impact of anthropogenic emissions and meteorological conditions on the spatial variation of ambient SO2 concentrations: a panel study of 113 Chinese cities. Science of the Total Environment, 584, 318-328. https://doi.org/10.1016/j.scitotenv.2016.12.145

Ying, G., Ma, J., & Xing, Y. (2007). Comparison of air quality management strategies of PM10, SO2, and NOx by an industrial source complex model in Beijing. Environmental Progress, 26(1), 33-42. https://doi.org/10.1002/ep.10182

Zamtsu. (2019). Contador portátil de partículas APEX: APEX P3/P5. https://www.zamtsu.com/producto/contador-portatil-de-particulas-apex-p3-p5/

Zhang, L., Jacob, D. J., Knipping, E. M., Kumar, N., Munger, J. W., Carouge, C. C., van Donkelaar, A., Wang, Y. X., & Chen, D. (2012). Nitrogen deposition to the United States: Distribution, sources, and processes. Atmospheric Chemistry and Physics, 12(10), 4539–4554. https://doi.org/10.5194/acp-12-4539-2012

Zhao, B., Wang, S., Wang, J., Fu, J. S., Liu, T., Xu, J., ... & Hao, J. (2013). Impact of national NOx and SO2 control policies on particulate matter pollution in China. Atmospheric Environment, 77, 453-463. https://doi.org/10.1016/j.atmosenv.2013.05.012


Daniel Alfaro-Alfaro, danielalfarox2@gmail.com, https://orcid.org/0000-0002-8527-6844

Luis Salas-Morelli, salasmorelli22@gmail.com, https://orcid.org/0000-0002-5640-7358

Bryan Sánchez-Mejías, bsanchezmejias@gmail.com, https://orcid.org/0000-0002-6475-988X

José Mora-Barrantes, jose.mora.barrantes@una.cr, https://orcid.org/0000-0002-0409-5276

José Pablo Sibaja-Brenes, jose.sibaja.brenes@una.cr, https://orcid.org/0000-0002-7056-2717

Henry Borbón-Alpízar, henry.borbon.alpizar@una.cr, https://orcid.org/0000-0003-0869-4126

1 Escuela de Química, Facultad de Ciencias Exactas y Naturales, Universidad Nacional, Heredia, Costa Rica.

2 Laboratorio de Química de la Atmósfera, Escuela de Química, Facultad de Ciencias Exactas y Naturales, Universidad Nacional, Heredia, Costa Rica.


Preliminary inventory of atmospheric emissions (SO2, NOx and TSP) from different industrial sectors in Costa Rica (Daniel Alfaro-Alfaro • Luis Salas-Morelli • Bryan Sánchez-Mejías • José Mora-Barrantes • José Pablo Sibaja-Brenes • Henry Borbón-Alpízar) in Uniciencia is protected by Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)
URL: www.revistas.una.ac.cr/uniciencia
Correo electrónico: revistauniciencia@una.cr

EUNA una