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Determinación del coeficiente de estratificación horizontal y vertical de la ecuación modificada de Berlyand para fuentes fija= s en la ciudad de Loja-Ecuador

 

 

Determination of t= he horizontal and vertical stratification coefficient of the modified Berlyand equation for fixed sources in the city of Loja-Ecuador

 

Thuesman Estuardo Montaño Peralta.[1], = Juan Carlos Solano Jiménez.[2],<= /span> Orlando Hilarión Ãlvarez Hernández.[3], =  Carlos Andrés Mora Montaño.[4], = Wilson Cornelio Torres Ríos.[5] &= amp; Thuesman Humberto Montaño Ramón.[6]

 

Recibido: 09-01-2021 / Revisado: 14-01-2021 /Aceptado: 08-02-2021/ Publicado: 05-03-2= 021

 

 

Abstract. <= span style=3D'mso-tab-count:2'>                                   Â=  Â DOI: https://doi.org/10.33262/concienciadigital.v4i1.2.1582

 

This research contributes to understanding the specific characteristics of the atmosphere in a locality = to preserve and conserve people's health, ambient air quality, the well-being = of ecosystems and the environment in general. Thus, the purpose of this resear= ch is to present the procedure and analysis carried out to obtain the horizont= al and vertical stratification coefficient, and to determine the maximum concentration of pollutants from fixed point sources in the city of Loja - Ecuador, based on Berlyand's model.  Through the research methodology, the predominant stability classes in the city of Loja were determined. Likewise, the average values of the dispersion parameters were determined.  Finally, the value of the coefficient = A of the Berlyand equation for the city of Lo= ja was obtained analytically, whose value is 83.

 

Keywords: Berlyand model, atmospheric stability, atmospheric stratification, solar radiation, wind speed.

Resumen.

Esta investigación contribuye al conocimiento de las características específicas de la atmósfera de una localidad con la fina= lidad de preservar y conservar la salud de las personas, la calidad del aire ambiente, el bienestar de los ecosistemas y del ambiente en general. Así, = el propósito de esta investigación es presentar el procedimiento y análisis realizados= para obtener el coeficiente de estratificación horizontal y vertical, y determi= nar la concentración máxima de contaminantes a partir de fuentes puntuales fi= jas en la Ciudad de Loja – Ecuador, a partir del modelo de = Berlyand.  Mediante la metodología investig= ación se logró determinar las clases de estabilidad predominantes en la Ciudad de L= oja. Así mismo, se determinó los valores promedio de los parámetros de dispersión.  Finalmente, se obtuvo analíticamente el valor del coeficiente A para la Ciudad de Loja a partir de la ecuación de Berlyand, cuyo= valor es de 83.

 

Palabras claves: Modelo de Berlyand, estabilidad atmosfé= rica, estratificación atmosférica, radiación solar, velocidad del viento.

 

Introducción.

La contaminación = del aire es uno de los grandes problemas que afecta a la mayoría de los países alrededor del mundo, especialmente a aquellos países industrializados y en= vías de desarrollo. El incremento en las cantidades de gases contaminantes y de partículas potencialmente dañinas para la salud humana y el medio ambient= e ha sido constatado a nivel mundial, y la respuesta a estos problemas se centra= en la búsqueda de soluciones inteligentes (Delgado, M., et al, 2014), a corto, mediano y largo plazo, que detengan una contaminación del aire que podría= ser irreversible en las próximas décadas.

Los logros obtenid= os en la gestión de la calidad del aire contribuyen a la mejora del bienestar económico y social en muchos países en desarrollo (OMS, 2011). En este se= ntido, se ha comprobado que la gestión adecuada de la calidad del aire permite me= jorar la salud pública, debido a que la contaminación atmosférica está relaci= onada con el aumento de pacientes ambulatorios, principalmente a causa de enfermedades respiratorias y cardiovasculares, y; por otro lado, al increme= nto de admisiones hospitalarias y de la mortalidad diaria.

La Ciudad de Loja = se encuentra ubicada al Sur de la República del Ecuador, en el valle denomina= do de Cuxibamba, limitando con la cordillera occident= al de los Andes. Loja tiene una superficie aproximada de 52 km2, con altitudes sobre el nivel del mar entre los 1950 y 2370 m (Fig. 1), y se encuentra entre las coordenadas siguientes: 03º 39’ 55" y 04º 30â€= ™ 38" de latitud Sur (UTM 17 S: 9501249 N — 9594638 N); y, 79º 05' 58'' y 79º= 32' 42.1'' de longitud Oeste (UTM 17 S: 661421 E — 711075 E).

Este territorio se caracteriza por gozar de un clima templado andino, a excepción de junio y julio, meses en los que se presenta una llovizna de tipo oriental (vientos alisos) con temperatura que fluctúa entre los 16°C y 25°C. La época de = mayor estiaje se presenta entre octubre y diciembre con una precipitación media = anual que oscila entre 400 y 1100 mm (GEO, Loja. 2006).

La Ciudad de Loja tiene una población de 214 855 habitantes y una tasa de crecimiento de 23%, según lo establece el último censo realizado por el INEC (2010), lo que ha incidido en una clara expansión de viviendas y con ello la demanda de serv= icios que afectan el medio ambiente. Uno de los principales contaminantes que tie= ne la ciudad —debido a la urbanización— radica en la explotación de fuen= tes fijas estacionarias, tales como los calefones, cuyo combustible o portador energÃ= ©tico es el gas licuado de petróleo (GLP), el cual emana gases como CO2, CO, NOx, los cuales inciden negativamente en el medio amb= iente por constituirse en gases de efecto invernadero (GEI). De igual manera, exi= sten ocho fuentes fijas que expulsan a la atmósfera gases de efecto invernadero= , especialmente CO2, NOx, y en menor medida SO2, cuy= as ubicaciones se presentan también en la Fig. 1.

Figura = 1. Mapa de la Ciudad de Loja y ubicación de las fuentes puntuales fijas= .

 

En la Ciudad de Lo= ja, además de la contaminación atmosférica generada por fuentes fijas, exist= e un crecimiento sostenido del parque automotor (CEPAL 2008). Por lo general, las emisiones de una sola unidad de cualquier vehículo son muy bajas comparada= s con las emisiones de una chimenea industrial, sin embargo, debido a la gran cantidad de vehículos automotores en circulación, representan la fuente principal de contaminación que, según datos oficiales, en 2017, Loja cont= aba con aproximadamente 36 000 vehículos en circulación (Agencia Nacional de Tránsito, 2014).

Aunque la evaluaci= ón completa de ubicación de fuentes grandes y específicas de contaminación requiere a menudo información detallada obtenida en el sitio, la informaci= ón climatológica para las localidades cercanas puede ser útil en la planific= ación preliminar (Holzworth, 1974). Por lo tanto, los= datos climáticos son indispensables en la evaluación de medidas de calidad del = aire relacionada a las prácticas de control de emisiones y tendencias de calida= d del aire.  Durante los días de la sem= ana (es decir los días de trabajo regulares), cuando las proporciones generales de emisiones de contaminantes en una ciudad pueden variar poco de día a día,= las variaciones observadas en las concentraciones del contaminante son causadas= por las variaciones en los rasgos de tiempo pertinentes (H= olzworth, 1974). Por otro lado, el ciclo diario del calentamiento y enfriamiento del suelo bajo la acción de la radiación del sol, así como la mezcla de masa= s de aire de procedencia diferente, tiene como consecuencia la modificación del valor de la temperatura del aire en función de la altura. Esta modificaciÃ= ³n repercute en la habilidad de la atmósfera en iniciar o inhibir los movimie= ntos verticales del aire (Neiburger, 1969). De esta manera, los= datos disponibles requieren un procesamiento especial e interpretación en lo que= se refiere a su impacto en el transporte atmosférico y difusión. =

Los datos climatológicos en ocasiones resultan difíciles de interpretar debido a dos razones principales. En primer lugar, las observaciones no son en absoluto hechas en todos los lugares para los cuales se requiere la información, ni= en las suficientes locaciones para permitir una interpolación fácil.  Por ejemplo, cuando la preocupación e= s acerca de la contaminación atmosférica en una ciudad y las observaciones han est= ado hechas en un aeropuerto cercano, estos datos deben interpretarse en términ= os de los efectos que la ciudad tendría sobre las observaciones (Neiburger, 1969).  Pero, incluso en el caso d= onde un sitio de observación está dentro de una ciudad, esas observaciones no pue= den ser representativas de todas las secciones de la ciudad. Para una fuente puntual específica de contaminación es deseable tener las observaciones e= n la vecindad inmediata de la fuente. La segunda razón, se debe a que las observaciones, sobre todo del aire superior, no son hechas con la frecuencia suficiente. El transporte y características de la difusión de la atmósfe= ra cerca de la tierra (en algunos lugares hasta varios kilómetros) normalmente exhi= ben una variación diurna muy grande, que es difícil de interpretar en ausenci= a de observaciones.

Si bien existen modelos de dispersión de gases contaminantes recomendados por la USEPA (U.S. Environmental Protection Agency), no es menos cierto que los mismos trabajan en función de los = datos meteorológicos existentes de cada localidad y los datos meteorológicos a utilizarse, deberán ser representativos para la ubicación geográfica de = la fuente fija a evaluarse. En la Ciudad de Loja no existen estudios de aire superior, solamente en tres zonas orográficas cuyas condiciones son difere= ntes a Loja se ha realizado estudios aerológicos (Montaño, T., 2015).

Metodología.

Se utilizó el sof= tware Excel de Microsoft Office para realizar los procesamientos de= las diferentes variables meteorológicas, así como herramientas CAD (Computer Aided = Design), específicamente el = software  Surfer® para utilizar los mapas de la Ciudad de Loja y geolocalizar las fuentes fij= as.  Los datos de altitud se interpolaron a= partir de los datos del Shuttle Radar Topographic Model (SR= TM) de la NASA (National Aeronautics and Space Administration).

Las variables meteorológicas utilizadas normalmente en los estudios de contaminación atmosférica comprenden la dirección y la velocidad del viento, la tempera= tura ambiente, la cantidad de cielo cubierto por nubes, la altura de la base de = las nubes, humedad y presión, los cuales son considerados datos meteorológicos primarios. Por otra parte, los datos secundarios y la forma en la cual son = identificados se muestran en la Tabla 1.

Tabla 1. Parámetros meteorológicos secundarios para estudios de contaminaciÃ= ³n atmosférica

Parámetros

Identificación<= /o:p>

Categorías de estabilidad atmosférica

Altura de la capa de mezcla urbana y rural

Exponente de perfil de viento

Gradiente vertical y gradiente potencial vertical

Longitud de Monin-Obukhov

Velocidad de fricción

Fuente: Turtós y otros, 2004.=

 <= /span>

En el presente trabajo, se utilizó el modelo de difusión turbulenta de la Teoría de Tra= nsporte Gradiente ) propuesta por Berlyand (1975)

<= /p>

(1)

donde:

, Coeficiente, calculado para condiciones normales de intercambio vertical y horizontal

, Cantidad de materia expulsad (g.s-1).<= /p>

, Coeficiente adimensional para las condiciones de salida de la mezcla gas-aire en el punto de emisión. Para expulsiones gaseosas y aerosoles, = .

, Altura de la fuente (m).

, Volumen de la mezcla gas-aire (m3s-1).=

<= ![if !msEquation]> , Diferencia de temperaturas entre e aire y la mezcla gaseosa.

, coeficientes adimensionales.

La distancia a la cual ocurre la concentración máxima ( ) se calcula considerando la altura de la fuente (<= ![if !msEquation]> ), el coeficiente adimensional de filtrado (<= ![if !msEquation]> ), y un parámetro (<= ![if !msEquation]> ) que depende de la llamada velocidad peligrosa del viento (= Um ), la cual es función del volumen de la mezcla gas-aire y de = .

Debido a que en el presente estudio se pretende calcular el coeficiente <= ![if !msEquation]>  para las condiciones de la = Ciudad de Loja, y al no contar con los datos primarios ni secundarios, se utilizó= la ecuación de concentración máxima propuesta por el Dr. Berlyand, la cual requiere un valor de <= ![if !msEquation]>  adecuado a las condiciones geográficas y de turbulencia de la zona donde se vaya a aplicar. Para ello= se utilizó la ecuación modificada de Berlyand (1994), siendo una más sencil= la basada en las características del intercambio vertical ( ) y horizontal ( ), que es la usada en el presente trabajo y que expresa:

 = viene dado por los valores del coeficiente de intercambio vertical  =  y velocidad del viento  = a la altura  = =3D 10 m;  = es la dispersión de las fluctuaciones de la dirección del viento para un interv= alo de tiempo entre 20 – 30 minutos, para el cual las concentraciones son estima= das. Finalmente, para calcular los valores de ,  = se puede utilizar las ecuaciones formuladas por Briggs, según Ulriksen (2005), que se los detalla en la Tabla 6:

Tabla 6. = Fórmulas recomendadas por Briggs según Ulriksen (2005) = para  ( ) y <= !--[if gte msEquation 12]>δZ  ( )

Categorías de P= asquill

 (m)

 (m)

 

CONDICIONES RURALES

 

A

0.22  (1+0.0001  )-0.5

0.20

B

0.16  (1+0.0001  )-0.5

0.12h

C

0.011  (1+0.0001  )-0.5

0.08  (1+0.0002 )-0.5

D

0.08  (1+0.0001  )-0.5

0.06  (1+0.0015 )-0.5

E

0.06  (1+0.0001  )-0.5

0.03  (1+0.0003 )-1<= /p>

F

0.04  (1+0.0001  )-0.5

0.016  (1+0.0003 )-1<= /p>

CONDICIONES URBANAS

A-B

0.32  (1+0.0004  )-0.5

0.24  (1+0.001 )-0.5

C

0.22  (1+0.0004  )-0.5

0.20

D

0.16  (1+0.0004  )-0.5

0.14  (1+0.0003 )-0.5

E-F

0.11  (1+0.0004  )-0.5

0.08  (1+0.00015 )-0.5

 <= /span>

El valor de  = puede ser determinado de la relación de la desviación estándar del viento con respecto al valor medio de los valores medidos cada 30 s (longitud d= e la cuerda). Basándose en análisis de escala, bajo condiciones neutras, la al= tura de la capa límite suele calcularse a partir de la expresión presentada po= r Holtslag A.A.M. y van Ulden A.P. (1983):

<= /p>

(3)

Donde  = es la velocidad del viento a la altura de 10 m.  El límite superior de la capa superficial se define como la altura = en la que , siendo  = la altura de la capa límite.  La lon= gitud de Monin– Obukhov se= calculó utilizando la ecuación , donde  = es la constante de Von Karman (0.37) y  = es el límite superior de la capa superficial.

Para el exponente = de perfil de viento en terrenos no complejos, Turtós propone una ecuación hasta una altura de 200 m sobre el nivel del terreno, considerando que el perfil de viento está razonablemente bien representado= por la ley de potencia (Turtós y otros, 2004):

<= /p>

(4)

donde  = es la velocidad escalar media de viento a la altura de referencia , típicamente 10 metros.

Para el caso de la Ciudad de Loja, la cual se encuentra en un valle entre montañas, con zonas= de grandes pendientes, se calculó una longitud de rugosidad orográfica para determinar si la zona en la cual está enclavada la ciudad se puede conside= rar relativamente plana.  Esto se real= izó confeccionando el Modelo Numérico de Altitud, utilizando los datos del Shuttle Radar Topograp= hic Model (SRTM) con resolución de 90 m, al cu= al posteriormente se le calculó la desviación estándar para modelar la supe= rficie de rugosidad orográfica (Fig. 4), donde se puede observar que la ciudad se encuentra en una zona con valores casi constantes y aproximadamente igual a 0.1.

El exponente  = varía usualmente desde 0.1 en una tarde soleada hasta 0.6 durante noches despejad= as. Mientras mayor sea el valor de , mayor será el gradiente vertical de la velocidad del viento. Como esta ley de potencia es una aproximación del pe= rfil medio de velocidad del viento, los perfiles reales se desvían de esta rela= ción. Los valores de , específicos para cada sitio, pueden determinarse con los datos de vientos en dos niveles, resolviendo la ecuaci= ón (Turtós y otros, 2004):

<= /p>

(5)

En nuestro caso se utilizaron los datos de viento a las alturas de 10 m y 30 m. El gradiente vertical y el gradiente potencial de temperatura son usados ampliamente en = la modelación de la dispersión de los contaminantes en la atmósfera para clasificar la estabilidad en la capa superficial, utilizando algoritmos de parametrización de datos de superfice como la = altura de la capa de mezcla y en las ecuaciones de elevación del penacho para condiciones estables (las de menor porcentaje de ocurrencia en nuestro caso= ). Estos gradientes se obtienen, internacionalmente, de los sondeos diarios (<= span class=3DSpellE>Turtós y otros, 2004). En Ecuador estos sondeos sola= mente se realizan en tres lugares, específicamente en Guayaquil (5 m de elevacion en costa), isla San Cr= istóba (6 m de elevación en Galápagos) y en la estación Nuevo Rocafuerte a una = altura de 264 msnm.

La longitud de rugosidad puede ser calculada a partir de las mediciones de los perfiles de viento. De hecho, en caso de turbulencia puramente mecánica (por ejemplo, = con vientos fuertes), la velocidad del viento promedio u muestra un perfil de viento logarítmico para Z > Z0, el cual está dado por (Panofsky y Dutton, 1984).

Figura 4. Superficie de rugosidad orográfica para la ciudad de Loja.

El procesamiento de los cálculos de las Eq. 1 – Eq. 5 se los realizó en una hoja Excel, cuyos resultados importantes se muestr= an en la Tabla 7.

Tabla 7. = Resultados de los cálculos para la dispersión, la estabilidad atmosférica y el coef= iciente
 de la ecuación de Berlyand.

. Previo a utilizar los resultados de la estación meteorológica a dos niveles (10 y 30 m) se utilizó la informaci= ón del trabajo sobre estabilidad vertical de la atmósfera en la provincia de Loja (Ãlvarez, Maldonado y Montaño, 2015) procesando y calculando los valores = para la Ciudad de Loja, obteniendo una estabilidad neutra.

Como resultado del procesamiento de las observaciones de temperatura del aire, y de dirección= y fuerza del viento a los niveles de 10 y 30 m obtenidos de la estación meteorológica automática que se ubicó en los terrenos de la Universidad Nacional de Loja, durante los meses de enero a marzo de 2015, se obtuvieron, como promedios, los resultados que se muestran en la Tabla 7, en la cual se pueden observar los parámetros de dispersión
 = ( ) y  = ( ), la clase de estabilidad , así como el = valor del coeficiente  o parámetro ) de la ecuación de Berlyand para el cá= lculo de la concentración máxima de gases a  partir de fuentes fijas puntual= es, el cual resultó con un valor de 83. El valor promedio calculado del parámetr= o  se corresponde con lo plant= eado por Berlyand (1975) como perteneciente a zonas sin gran turbulencia en las zonas centrales de la antigua URSS (valor 80), lo cual se cumple en la ciud= ad de Loja, en la cual, al contar con de nubes de tipo convectivo, no pasan de cúmulos promedios en la mayoría de los casos, no reportándose tormentas eléctricas con frecuencia. Adicionalmente, en el período de mediciones el promedio de la clase de estabilidad corresponde a la categoría neutra.

·      =    Adicionalmente a las conclusiones de este trabajo de investigación, = los autores recomiendan realizar la modelación a partir de los datos técnicos medidos en las distintas fuentes, y considerar las matrices de viento (por valores de velocidad – dirección) como datos de control para el cálculo= de la concentración máxima utilizando el parámetro  calculado para la ciudad de= Loja.

 <= /span>

Agradecimiento. =

Los autores agrade= cen el financiamiento de la Universidad Nacional de Loja a través del proyecto= de investigación 28-DI-FEIRNNR-2019 ‘Caracterización de la potencialidad de la energía solar y eólica e= n la Región Sur del Ecuador.’

 

Referencias bibliográficas.=

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Ãlvarez, O.H., Maldonado, J.  y Montaño, T. (2015): Estabilidad ver= tical de la atmósfera en la provincia de Loja, Ecuador (inédito).

Berlyand, M.E. (1975): Problemas actuales de la difusión atmosférica y la contaminación de la atmósfera.= Gidrometeoizdat, Leningrado (en ruso).

Berlyand, M.E. (1994) Actual problems of development of air pollution modelling and i= ts influence on the environment. Main Geophysical Observatory, St. Petersburg. Russia, (en ruso)

CEPAL (2008):“Anuario estadíst= ico de América Latina y el Caribeâ€, Chile.

Delgado, M., D. Sánchez y S. Zap= ata: “Sistema de Soporte de Decisiones: Aplicación a la Gestión de la Contam= inación en la ciudad de Santiago de Chileâ€.  XII Congreso Español Sobre Tecnologías y Lógica Fuzzy. Universidad de Granada Universidad de Granada. U. Tecnológica Metropolitana.

GEO Loja 2006, 2006: Perspecti= vas del Medio Ambiente Urbano. ISBN 978-9942-01-460-3. Ecuador 192 pp.=

Holtslag A.A.M. y van Ulden A.P. (1983): A simple scheme for daytime surface fluxes = from routine weather data. J. of Climatic and Applied Meteorology 22, 517-529.

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Moragues, J.A. (2015): Clases de Estabilidad. Capas de Mezcla. Disponible en: http://www.ceiucaweb.com.ar/documentos/2-ambiental/3er-anio-1er-cuatri/mete= orologia/apunte /capa%20de%20mezcla.pdf

Neiburger= , M , (1969), The role of meteorology in the study and control of air pollution Bull. Am. Meteorol. Soc. ,= 50, 957-965

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http://www.who.int/mediacentre/factsheets/fs313/es/ (Consultado Abril 22, 2014).

Panofsky, H.A. y Dutton, J.A. (19= 84): Atmospheric Turbulence: Models and Methods for Engineering Applications. Wiley & Sons, New York, 397 pp.

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PNUMA, I. Municipio de Loja, Naturaleza y Cultura Internacional (2008):“Perspectivas del Medio Ambiente Urbano; Geo Lojaâ€. Disponible en: http://www.naturalezaycultura.org/ (Consultado Abril 4, 2014).

S Pal Ary= a, 2002: A Review of the Theoretical Bases of Short-Range Atmospheric Dispersi= on and Air Quality Models. Proc= . Indian Natn Sci Acad, 69, A, No 6, November 2003, pp 709–724.

Torres, A. EOI. Aplicación prác= tica del modelo de dispersión de contaminantes atmosféricos – ISCST3. Má= ster en Ingeniería y Gestión Medioambiental.2007-2008.

Turtós, L., y otros (2004): Sali= da 9 (2/2004): Propuesta de Guía para realizar los estudios de dispersión loca= l de contaminantes gaseosos y partículas. Externalidades Ambientales Atmosféri= cas de la Generación Eléctrica. Proyecto programa ramal de desarrollo energé= tico sostenible, La Habana, Cuba. Junio 2004.

Ulriksen, P. (2005): Apuntes, Mod= elos de Dispersión de Contaminantes. Universidad de Chile, Facultad de Cienc= ias Físicas y Matemáticas. Escuela de Postgrado, Diploma en Contaminación Atmosférica.

 

 

 

 

 

 

 

 

 

 

 

 

 

PARA CITAR EL ARTÃCULO INDEXADO.

 

 

Solano-Jiménez, J., Montaño-Peralta, T., Ãlvarez-Hernández, O., León-Tapia, M., Torres-= R, W., & Montaño-Ramón, T. (2021). Determinación del coeficiente de estratificación horizontal y vertical de la ecuación modificada de Berlyand para fuentes fijas en la ciudad de Loja-Ecua= dor. ConcienciaDigital, 4(1.2), 103-118. https://doi.org/10.33262/concienciadigital.v4i1.2.1582

 

 


 

 

 

El artículo que se publica es de exclusiva responsabilidad de los autores y no necesariamente reflejan el pensamiento de la Revi= sta Ciencia Digital.

 

El artículo queda en propiedad de la revista y, por tanto, su publicación pa= rcial y/o total en otro medio tiene que ser autorizado por el director de la Revista Ciencia Digital.

 

 

 

 



[1] Facultad de la Ene= rgía, Universidad Nacional de Loja, Loja, Ecuador, thuesman.montano@unl.edu.ec

[2] Facultad de la Energía, Universidad Nacional de Loja, Loja, Ecuador, juan.= solano@unl.edu.ec

[3] Consultor privado, Loja, Ecuador, orlando21alvarez@gmail.com

[4] Facultad de la Energía, Universidad Nacional de Loja, Loja, Ecuador, milton.leon@un= l.edu.ec

[5] Facultad de Ciencias Agropecuarias, Universidad Técnica de Machala, Machala, Ecuador, wtorres@u= tmacha.edu.ec

[6] Ingeniería Mecánica, Universidad Politécnica Salesiana, Cuenca, Ecuador, thuesman92@= gmail.com

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www.concienciadigital.org

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