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Análisis de la influ= encia del embalse Hidroeléctrico Mazar en el bioclima de la ciudad de Paute.

 

 

Analysis of the influence of the Mazar Hydroelectric reservoir on the bioclimate of the cit= y of Paute.

 

Johnny Javier Pacheco Pacheco.[1= ] & Carlos Marcelo Matovelle Bustos.[2] <= o:p>

 

Recibido: 03-02-2021 / Revisado: 12-02-2021 /Aceptado: 03-03-2021/ Publicado: 05-04-2= 021

 

Abstract.                                    Â=  Â Â Â Â DOI: = https://doi.org/10.33262/concienciadigital.v4i2.1626

 

The construction of a hydroelectric reservoir generates an apparent microclimate; manifested in the variation of the temperature of the surrounding areas. In this research, it is proposed to demonstrate the alteration of the temperature of the urban area of ​​th= e Paute canton located 25 km from the Mazar hydroelectric reservoir, through the statistical analysis of the annual climatological data obtained from the National Institute of Meteorology and Hydrology of the Ecuador (INAMHI), collected by the meteorological station M0138 located at the study point. To establish the ranges of variation of the climate and issue recommendations = for the bioclimatic architectural design of single-family homes in the microcli= mate generated, it was necessary to model retrospective, current and prospective scenarios, for the prospective scenario, climate data was generated with the METEONORM software and compared with 20-year exponential trend curves. With= the climatic data analyzed, we generated scenarios for bioclimate studies. Once= the bioclimate studies were obtained, a comparative diagnosis was carried out to identify the effects of the microclimate on the hours of comfort, cold and heat. It is observed that the influence of the reservoir generates climate change, directly altering the bioclimate of the city of Paute, reducing the hours of comfort. We conclude that the generated microclimate represents a problem in the bioclimate of the city, for which measures must be taken to mitigate and adapt to the effects it will have on current and future buildi= ngs.

Keywords: Reservoir, biosol, temperature, comfort, microclimate.

 

Resumen.

 

Introducción. La construcción de un embalse hidroeléctrico, g= enera un aparente microclima; manifestado en la variación de la temperatura de l= as áreas circundantes. En la presente investigación, se plantea demostrar la alteración de la temperatura de la zona urbana del cantón Paute ubicada a= 25 Km. del embalse de la hidroeléctrica Mazar, mediante el análisis estadís= tico de los datos climatológicos anuales obtenidos del Instituto Nacional de Meteorología e Hidrología del Ecuador (INAMHI). Objetivo. Establec= er el impacto generado por el embalse de la hidroeléctrica Mazar en el bioclima = de Paute en retrospectiva, presente y prospectiva, para poder emitir recomendaciones para el diseño arquitectónico, que permita mitigar y adap= tar los edificios. Metodología. El diseño de investigación en retrosp= ectivo fue cuantitativo en base a la estación meteorológica M0138, con estos dat= os de partida se realiza una investigación cuasi experimental generando curvas de comportamiento y usando un programa de simulación climática (Meteonorm) p= ara la obtención de resultados. Resultados. Para establecer los rangos de variación del clima y emitir recomendaciones del diseño arquitectónico bioclimático de las viviendas unifamiliares en el microclima generado fue necesario modelar escenarios retrospectivos, actuales y prospectivos, para = el escenario prospectivo se generó datos del clima con el software Meteonorm = y se comparó con curvas de tendencias exponenciales a 20 años. Con los datos climáticos analizados generamos escenarios para estudios de bioclima, una = vez obtenidos los estudios del bioclima se realizó un diagnóstico comparativo= para identificar los efectos del microclima sobre las horas de confort, frio y calor. Se observa que la influencia del embalse genera un cambio climático= , alterando directamente el bioclima de la ciudad de Paute reduciendo las horas de conf= ort. Conclusión. Se concluyó que el microclima generado representa un problema en el bioclima de la ciudad, por lo cual se deberá tomar medidas = para la mitigación y adaptación ante los efectos que tendrá en las edificaciones actuales y futuras.

Palabras claves: Embalse, bios= ol, temperatura, confort, microclima.

 

IntroducciĂłn.

Siendo prioridad de los gobiernos contar con medio= s de producción de energía limpia y amigable con el entorno, se ha optado por = la construcción de centrales hidroeléctricas que están dentro de la producc= ión de energía que menos contaminación causan al medio ambiente de manera direct= a, aunque es necesario considerar efectos secundarios como las posibles variac= iones de temperatura en el microclima de la zona de influencia.

“Los recursos hídricos son una fuente important= e de vida para los seres humanos. Entre sus numerosos beneficios, permiten gener= ar energía eléctrica limpia para un porcentaje importante de la población de América Latina y el Caribe. De hecho, el 50% de la matriz de generación eléctrica de la región depende de este recurso” (OLADE, 2019).

Debido a ello durante los últimos treinta años s= e han construido en el país algunos proyectos hidroeléctricos, siendo el proyec= to Hidroeléctrico Mazar uno de los más importantes en la región, el cuál u= tiliza el caudal del Río Paute, está ubicado al sur-este del Ecuador sobre los l= ímites de las Provincias de Azuay y Cañar, perteneciente al cantón Sevilla de Or= o de la primera provincia, como se puede observar en la fig. 1. El sitio de las obras se encuentra en el km 105 de la vía Cuenca-Paute-Guarumales-Méndez,= entre las cotas altitudinales de 2 008 a 2 400 msnm. Administrativamente el proye= cto está bajo la jurisdicción de las provincias de Azuay y Cañar, en los can= tones Azogues, Paute, Guachapala, El Pan y Sevilla de Oro; iniciando trabajos en = mayo del 2005, actualmente se tiene en funcionamiento la Presa Mazar, y se reali= za generación de energía en las turbinas. El funcionamiento de la central ap= orta con 160 MW para el Sistema Nacional Interconectado.

“Se ha ahondado en la influencia de los proyecto= s en la vida de las comunidades campesinas e indígenas –en especial-, y desde= el campo ecologista se ha trabajado el cómo las grandes obras se constituyen = en factores de cambio del sistema ambiental de las zonas de influencia” (Luc= ero, 2016)

 

Figura 1. Ubicación de la Hidroeléctrica Mazar y el centro cantonal de Paute.<= /o:p>

Fuente: ElaboraciĂłn propia.

El proyecto hidroeléctrico Mazar entra en funcionamiento en el año 2010, creándose en esta fecha un lago artificial= en el Río Paute, “la creación de lagos artificiales conlleva la aparición de= notables alteraciones en los microclimas locales cuyo origen debe relacionarse ante = todo con el incremento de la humedad atmosférica en su entorno inmediato” (GA= RCIA CODRON, 1994). Por tanto, existe un área afectada en el cual se crea un microclima debido al cambio de temperaturas. En el presente estudio se demuestra las variaciones de temperatura antes del embalse (<2010) y lue= go del embalse (>2010) analizando datos históricos del clima obtenidos med= iante anuarios meteorológicos de 1982 a 2013 de la institución INAMHI específi= camente de la estación M0138 denominada Paute, ubicada en las siguientes coordenad= as; Latitud: 2°48'00,00" S, Longitud: 78°45'46,00" W y altitud: 219= 4 msnm. donde se encuentra un total de 5014 habitantes en la zona urbana del centro cantonal de Paute según el último censo del 2010, siendo el asentamiento = con mayor población dentro del área de acción del microclima, por tanto, la = zona con mayor construcción de viviendas unifamiliares.

“Las pequeñas modificaciones climáticas a esca= la local inducidas por el hombre han tenido lugar a través de cambios en la composi= ción atmosférica y en las condiciones de la superficie terrestre. Alguno de estos impactos parece ser el resultado o al menos tener como causa última la transformaci= ón de considerables extensiones de suelo forestal, de pastos y de cultivos en med= ios acuáticos artificiales de agua dulce, es decir, en embalses.” (Astorga, 1994)<= /o:p>

El estudio de los factores del clima, es de gran importancia en la actualidad y más aún las proyecciones de los mismos al futuro, simulando la ocurrencia de eventos que influyen directamente con el= ser humano. El estudio de estos escenarios es fundamental, pues los diseñadores podrían dar soluciones de confort desde la etapa de anteproyecto de una edificación frente a fenómenos como el calentamiento global y variación = de temperatura.

“El cambio climático es una realidad, actualmen= te se vive una situación autodestructiva, principalmente debido a la mano del ho= mbre que ha contaminado el planeta, causando efectos dañinos para su propia sal= ud y el bien de la naturaleza. La Organización de las Naciones Unidas (ONU) ha publicado que el aumento de la temperatura en el planeta, el derretimiento = de los polos, el aumento del nivel del mar, etc. Es principalmente debido a la acción humana por la emisión de gases contaminantes hacia la atmosfera; principalmente el dióxido de carbono; CO2” (Grupo Intergubernamental de Expertos sobre el Cambio Climático, 2013).

 “Para = lograr una mejor comprensión de las interacciones entre el sistema climático terrestre, los ecosistemas y las actividades humanas, la comunidad científ= ica ha desarrollado y utilizado diversas herramientas y metodologías. Una de e= llas es el uso de “escenarios”, los cuales pueden definirse como descripcion= es coherentes, internamente consistentes y convincentes de un posible estado futuro del mundo” (Eduardo et al., 2016).

El confort se refiere de manera más puntual a un estado de percepción ambiental momentáneo casi instantáneo, el cuál cie= rtamente está determinado por el estado de salud del individuo, pero además por mu= chos otros factores, los cuales se pueden dividir en forma genérica en dos grup= os: Los factores endógenos, internos o intrínsecos del individuo, y factores exógenos o externos y que no dependen del individuo; entre los cuales pode= mos destacar la temperatura ambiente.

Para las proyecciones se utilizĂł el software Meteonorm, “este software usa modelos estocásticos para valores que tien= en las mismas propiedades estadĂ­sticas, para calcular los valores diarios utiliza modelos de Aguiar y Collares Pereira y las cadenas de Markov basándose en = la suposiciĂłn de la distribuciĂłn de frecuencias de radiaciĂłn solar. Para ge= nerar valores horarios de temperatura se parte de la “suposiciĂłn de que la amp= litud de las variaciones diurnas de temperatura es aproximadamente proporcional a= la amplitud de la radiaciĂłn solar diaria y, por lo tanto, el perfil de temperaturas se obtiene transformando el perfil de radiaciĂłn solar”. Met= eonorm maneja series histĂłricas y se puede acceder a escenarios que brinden informaciĂłn futura acerca del clima de la zona de estudio”. (Morillon GĂ= ˇlvez et al., 2013)

 Meteonor= m es una base de datos que contiene información climatológica de aproximadamen= te 1000 estaciones meteorológicas alrededor del planeta, es una herramienta q= ue permite a los usuarios acceder a bases de datos interpolados en prospectiva. Este software usa modelos estocásticos para valores que tienen las mismas propiedades estadísticas, para calcular los valores diarios utiliza modelo= s de Aguiar y Collares Pereira y las cadenas de Markov basándose en la suposici= ón de la distribución de frecuencias de radiación solar. Se compara las proyecc= iones realizadas por el programa Meteonorm con las curvas de comportamiento exponenciales obtenidas por el análisis de datos generados por la estación meteorológica M0138.

“La tendencia al aumento de la temperatura en la Tierra y la alteración de las variables climáticas son los resultados inequívocos del próximo cambio climático” (McCarthy, J., et al, 2001).= Se obtuvieron las predicciones de temperatura en el programa de simulación an= tes mencionado a un Representative Concentration Pathways 8.5 (RCP 8.5) el cual= nos da un escenario pesimista-realista del comportamiento de temperaturas medias mensuales. El RCP 8.5 combina supuestos sobre una alta población y un crec= imiento de los ingresos relativamente lento con tasas modestas de cambio tecnológi= co y mejoras en la intensidad energética, lo que lleva a largo plazo a una alta demanda de energía y emisiones de GEI. RCP8.5 corresponde por tanto a la v= ía con las mayores emisiones de gases de efecto invernadero (Riahi, et al, 201= 1).

“Es importante considerar los modelos a una esca= la regional que permitan aplicar análisis de variaciones globales en determin= adas áreas específicas con mejor resolución” (Jiménez, et al, 2020). =

“El análisis comparativo presentado, permite identificar el panorama bioclimático que se tiene en las costas mexicanas,= para poder emitir recomendaciones para el diseño arquitectónico, que permita m= itigar y adaptar los edificios.” (Wolfskill, Valenzuela, 2017).

Al realizar este análisis, se demostró el cambio= de temperaturas en la zona de influencia del embalse y por lo tanto en el cent= ro cantonal de Paute, donde se realizan la mayor parte de actividades constructivas. Con las curvas de tendencia y las simulaciones generadas se = obtuvo información de las variantes de temperatura que se utiliza en el método d= el biosol, el cual es un software para el estudio del bioclima, control solar e iluminación natural, los datos de entrada requeridos son los promedios men= suales de temperaturas máximas y mínimas, latitud, longitud y altura de la local= idad: obteniendo como resultado el diagrama de isorrequerimientos de condiciones = de frio, calor o confort.

“Con los años, los embalses de la zona boreal y templada, tienden a presentar emisiones netas de gases con efecto invernade= ro, muy equiparables a las de lagos de similares características y si se compa= ran los balances del embalse con el ecosistema terrestre al que reemplazaron, no siempre el balance es peor” (Palau y Alonso, 2008).

Con el presente estudio se establecen los datos de partida para que se generen las recomendaciones de diseño bioclimático que permitan mitigar o aprovechar la variación de la temperatura producto de la intervención del hombre en la naturaleza, en este caso particular del emba= lse para proyecto hidroeléctrico, lo que nos permite aportar a la generación = de proyectos de viviendas sustentables.

MetodologĂ­a.

SegĂşn Sierra Bravo (1992), la presente investigac= iĂłn tiene los siguientes enfoques;

TIPOS Y NIVELES DE INVESTIGACIÓN<= /span>

SegĂşn su finalidad

 

Aplicada

 

Los resultados permiten resolver problemas de cambio climático aplicado en la construcción bioclimática.<= /span>

SegĂşn su alcance temporal<= /p>

 

Retrospectiva

 

Se analizan datos de temperaturas desde 1982 = al 2013.

 

Prospectiva

 

Se analizan datos de temperatura del presente= y se proyecta temperaturas a 20 años.

SegĂşn su profundidad

 

Explicativa

 

La investigación permite estudiar el impacto= de un embalse hidroeléctrico en el Bioclima de una ciudad.

SegĂşn las fuentes

 

Secundarias

 

La investigaciĂłn se realizĂł a partir de dat= os ya existentes, recogidos por el INAMHI por medio de una estaciĂłn meteorolĂł= gica y publicado en sus anuarios.

Según el carácter

 

Cuantitativas

 

Procesamos datos de temperatura obtenidos de = una estaciĂłn meteorolĂłgica.

SegĂşn su naturaleza

 

Cuasiexperimentales

Proyectamos tendencias o comportamientos de temperatura por medio de software o curvas de tendencia, para emitir comparaciones.

Tabla 1. Tipos y niveles de investigaciĂłn.

Fuente: ElaboraciĂłn propia.

 

Las variables de análisis son de carácter cuanti= tativo que permiten establecer rangos de variaciones estadísticas, cuyos datos fu= eron recolectados aplicando el muestreo aleatorio por conglomerados de tipo prob= abilístico.

El análisis de tendencias de una serie temporal de datos da resultados muy interesantes en cuanto a la variación de su compor= tamiento en un lapso de tiempo determinado, como se puede observar en el estudio realizado por Alemu, Z.A., & Dioha, M.O (2020) en el que vincula el cam= bio climático con las tendencias de temperatura en una zona específica. En el estudio propuesto se realizó un análisis retrospectivo de las temperaturas máximas y mínimas medias obtenidas de la estación meteorológica M0138 d= e los anuarios meteorológicos del INAMHI desde 1982 al 2013 que existen publicad= os oficialmente. El objetivo del análisis pretende demostrar el cambio de temperatura e inclinación de las curvas de tendencia tanto de las temperat= uras medias máximas y de las temperaturas medias mínimas. Con los datos climá= ticos obtenidos se aplicaron en el software Biosol, el cual permite analizar los parámetros de confort higrotérmico diariamente en el sector de estudio, l= o que posibilita la utilización de energía solar como fuente para el consumo energético dentro de una vivienda.

Para obtener el escenario prospectivo del clima en= el sector de estudio se utilizĂł el programa Meteonorm, dicho programa usa mĂ©= todos de interpolaciĂłn espacial proporciona datos de los factores climáticos co= mo son: humedad, radiaciĂłn, temperatura y permite realizar proyecciones a fut= uro. Con el objetivo de comparar y validar la informaciĂłn obtenida se propone la utilizaciĂłn de las curvas de tendencia de comportamiento para obtener temperaturas prospectivas para el año 2040, la lĂ­nea de tendencia de mayor confiabilidad que usamos es la exponencial ya que su valor R cuadrado es el= más cercano a 1, siendo la más fiable. Con estos datos podemos realizar un anĂ= ˇlisis bioclimático a 20 años para comparar escenarios en las horas de frio, cal= or o confort por la influencia del embalse de la hidroelĂ©ctrica Mazar. El procedimiento para análisis del confort que se empleĂł para esta investiga= ciĂłn fue el propuesto por (Preciado y Morillon, 2010) el mismo que se basa en un análisis bioclimático partiendo de la premisa de eficiencias luminosas en superficies verticales y horizontales mismos que generan la gráfica solar y tambiĂ©n los dĂ­as de frio, calor o confort que se presenten en el año de estudio.

Resultados.

El embalse de la hidroeléctrica fue llenado y pue= sto en funcionamiento a lo largo del año 2010, por lo que se realiza un análi= sis de las temperaturas antes del embalse desde enero de 1982 hasta diciembre de 2= 009 de los anuarios meteorológicos publicados año a año por el Instituto Nac= ional de Meteorología e Hidrología del Ecuador, obteniendo curvas de comportami= ento tanto para la temperatura media máxima y la temperatura media mínima.

Figura 2. Temperaturas medias máximas y mínimas (1982-2009).

Fuente: ElaboraciĂłn propia.

 

Del análisis de las temperaturas medias tanto má= ximas como mínimas se obtuvo una curva de comportamiento exponencial siendo las fórmulas las siguientes.

          (1)

Donde “x” es el valor de la interacción del t= iempo, “y” es la temperatura media máxima.

          (2)

Donde “x” es el valor de la interacción del t= iempo, “y” es la temperatura media mínima.

Se realizó un análisis desde enero de 2011 a dic= iembre de 2013 que fue la última emisión de los anuarios meteorológicos por par= te del Instituto Nacional de Meteorología e Hidrología del Ecuador obteniendo los siguientes resultados.

<= /b>

Figura 3. Temperaturas medias máximas y mínimas (2011-201= 3).

Fuente:= ElaboraciĂłn propia.

Del análisis de las temperaturas medias tanto má= ximas como mínimas se obtuvo una curva de comportamiento exponencial siendo las fórmulas las siguientes.

            (3)

Donde “x” es el valor de la interacción del t= iempo, “y” es la temperatura media máxima.

           (4)=

Donde “x” es el valor de la interacción del t= iempo, “y” es la temperatura media mínima.

Por medio de las ecuaciones (1), (2), (3) y (4) obtenemos las curvas de tendencia exponencial de temperaturas medias máxim= as y mínimas, que nos permite realizar una comparación grafica de las mismas e= n un periodo de 5 años luego de la realización del embalse y comparamos result= ados entre lo proyectado y lo real.

Figura 4. Temperaturas medias máximas proyectadas y reales entre los años 2011-2015.<= /p>

Fuente: ElaboraciĂłn propia.

 

De acuerdo a la gráfica de tendencias de temperaturas podemos observ= ar una variación en enero de 2011 de -1.39°C entre la temperatura media máx= ima proyectada y la real afirmando que existió un enfriamiento de la zona debi= do al lago artificial o embalse de la hidroeléctrica, el ángulo de crecimiento = de la curva se modificó notablemente tendiendo a temperaturas más altas en futu= ro.

<= /p>

Figura 5. Temperaturas medias mínimas proyectadas y reales entre los años 2011-2015.<= /p>

Fuente: ElaboraciĂłn propia.

De acuerdo a la gráfica de tendencias de temperaturas podemos observ= ar una variación en enero de 2011 de 0.22°C entre la temperatura media míni= ma proyectada y la real afirmando que existió una desviación del ángulo de crecimiento de la curva tendiendo hacer más frio en la zona.

Los resultados obtenidos de la simulaciĂłn del programa Meteonorm son= los de la siguiente tabla.

Tabla 2. Temperaturas máximas y mínimas, medias del año 2040.

Fuente: ElaboraciĂłn propia.

 

Con los resultados obtenidos en perspectiva (1982-2009), presente (2011-2020) y prospectiva 2040 mediante el programa Meteonorm y mediante una proyecciĂłn segĂşn la curva de comportamiento se pueden realizar las siguie= ntes comparaciones.

Figura 6. Tabla de evidencia del cambio de temperaturas en la ciudad de Paute.

Fuente: ElaboraciĂłn propia.

En las figuras 7 y 8 podemos observar los escenarios retrospectivo y presente, que las horas predominantes son las de confort durante la media mañana y tarde, y las horas de frio durante la noche y madrugada.

Figura 7. Diagrama de isorrequerimientos del Bioclima retrospectivo 1982-2009 en la ciudad de Pau= te.

Fuente: ElaboraciĂłn propia.

 

Figura 8. Diagrama de isorrequerimientos del Bioclima presente (2011-2020) en la ciudad de Paute.=

Fuente: ElaboraciĂłn propia.

 

La ciudad de Paute tiene un incremento marcado en su temperatura máx= ima y un descenso menos notorio en su temperatura mínima, pero sus horas de conf= ort suelen ser más constantes tanto en el bioclima retrospectivo, presente y escenario prospectivo obtenido del programa Meteonorm (fig. 9).<= /span>

Figura 9. Diagrama de isorrequerimientos del Bioclima prospectivo 2040 METEONORM en la ciudad de Paute.

Fuente: ElaboraciĂłn propia.

 

En el escenario prospectivo obtenido mediante curvas de comportamiento (fig. 10) las horas de calor remplazan a las horas de confort de 11h00 a 16= h00. El escenario prospectivo al 2040 se pierden horas de confort siendo cambiad= as por horas de calor las cuales en los escenarios anteriores no se habĂ­an presentado hasta la fecha, causada por el incremento de temperatura por la irradiaciĂłn del sol de la laguna artificial.

Figura 10. Diagrama de isorrequerimientos del Bioclima del año 2040 proyectado por curvas de tend= encia en la ciudad de Paute.

Fuente: ElaboraciĂłn propia.

 

En la siguiente figura se muestran los resultados anteriores sintetiz= ados en forma de grafico para poder comparar e identificar el impacto del cambio climático en el microclima generado por el represamiento de agua que sufre= el bioclima en la ciudad de Paute.

<= /p>

Figura 11. Gráfico comparati= vo del impacto del embalse hidroeléctrico en las horas de confort, medido en horas.

Fuente: ElaboraciĂłn propia.

 

En la figura 11 se puede observar que en las horas de confort aumenta= n en el escenario presente (2011-2020) debido al incremento de temperaturas medi= as máximas teniendo en promedio 9 horas diarias de confort de 10h00 a 18h00, = en el escenario prospectivo (2040) de tendencia de curvas de comportamiento de temperaturas las horas de confort disminuyen notablemente en comparación c= on el resto de escenarios analizados.

Conclusiones.

·         Con el análisis de las tendencia= s de temperatura y la comparaciĂłn entre la data antes de la implementaciĂłn del embalse y posterior al funcionamiento del mismo se valida los impactos en el microclima que puede generar el embalse de la hidroelĂ©ctrica Mazar en la c= iudad de Paute, en prospectiva aumentan las temperaturas máximas por lo que aume= ntara las horas de disconfort durante el dĂ­a. En el escenario presente se tiene = una reducciĂłn de temperaturas inmediatamente luego de ser llenado el embalse, = sin embargo, la curva de comportamiento de temperaturas máximas se vuelve más pronunciada generando el aumento de temperaturas al pasar de los años.

·         Al contar con una proyecciĂłn bioclimática de la zona, se pueden proponer distintos sistemas de climatiz= aciĂłn pasivas y estrategias que al tomarse en cuenta pueden ayudar a brindar una sensaciĂłn de confort en condiciones adversas a este, segĂşn el diagrama de isorrequerimientos.

·         Al presentarse horas de calor dur= ante el dĂ­a, los diseñadores arquitectĂłnicos deben plantearse nuevas estrateg= ias en sus diseños ya que en el escenario retrospectivo y presente no tenĂ­an que lidiar con horas de calor.

·         Se debe proponer un reordenamiento territorial en las que se implementen normas de construcciĂłn basadas en co= nfort higrotĂ©rmico por bioclima para adaptar mejor a la ciudad en los años veni= deros.

 

AGRADECIMIENTOS: El presente artĂ­culo es parte del trabajo de investigaciĂłn y titulaciĂłn del Programa de MaestrĂ­a en ConstrucciĂłn con= MenciĂłn en AdministraciĂłn de la ConstrucciĂłn Sustentable de la Universidad CatĂłl= ica de Cuenca, por ello agradezco a todos y cada uno de los instructores por los conocimientos e informaciĂłn brindados para la elaboraciĂłn del trabajo.

Referencias bibliográfica= s.

Alemu, Z.A., Dioha, M.O. Climate= change and trend analysis of temperature: the case of Addis Ababa, Ethiopia. Environ Syst Res 9, 27 (2020= ). https://doi.org/10.1186/s40068-020-00190-5

Ast= orga González, A.F. (1994), Posibles cambios climáticos debidos a los embalses construidos en las cabeceras de los ríos de montaña, serie geográfica vo= l. 4, Pp. 45-54.

Edu= ardo, G., Porras, A., & Jácome, P. S., (2016), Proyecciones climáticas de precipitación y temperatura para ecuador, bajo distintos escenarios de cam= bio climático.

Gar= cía Codrón, J.C. (2014), El impacto climático de los embalses cantábricos, en serie geográfica vol. 4. Pp. 33-42.

Gru= po Intergubernamental de Expertos sobre el Cambio Climático, 2013. Cambio Climático 2013 Bases Físicas, s.l.: Naciones Unidas, s.f. Naciones Unidas= . [En línea] Available at: http://www.un.org/es/sections/issues-depth/climate-change/index.html=

INA= MHI (1982-2013), Anuarios meteorolĂłgicos de 1982 a 2013, Quito, Ecuador.

Jim= enez S., Aviles A., Galán L., Flores A., Matovelle C., Vintimilla C. (2020) Support Vector Regression to Downscaling Climate Big Data: An Application for Precipitation and Temperature Future Projection Assessment. In: Fosenca C E= ., Rodríguez Morales G., Orellana Cordero M., Botto-Tobar M., Crespo Martíne= z E., Patiño León A. (eds) Information and Communication Technologies of Ecuador (TIC.EC). TICEC 2019. Advances in Intelligent Systems and Computing, vol 10= 99. Springer, Cham. https://doi.org/10.1007/978-3-030-35740-5_13

Luc= ero, F., (2016): Reconfiguración de paisaje y grandes proyectos. el caso del proyec= to hidroeléctrico mazar, Azuay-Ecuador.

McCarthy, J., et al.: IPCC Climate Chan= ge: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to = the Third Assessment Report of the Inter-governmental Panel on Climate Change (2001).

Mor= illon, D., Gálvez, D., Preciado, O., & (Ed), R. A., (2013): Ingeniería de la ene= rgía solar para la sustentabilidad (p. 249).

OLA= DE, (2019), Panorama energético de América Latina y el Caribe 2019, Quito, Ec= uador.

Pal= au, A. y M. Alonso, (2008), Embalses y cambio climático, Monografías de Endesa, Dirección de Medio Ambiente y Desarrollo Sostenible, Endesa, Lleida, pp. 4= 7.

Pre= ciado y MorillĂłn, (2010): Biosol: Software para el estudio del Bioclima, Control s= olar e iluminaciĂłn natural. IV Conferencia Latino Americana de energĂ­a Solar (IVISES_CLA) U XVIII Simposio Peruano de EnergĂ­a Solar (XVII-SPES) 5 novie= mbre, Cusco, PerĂş.

Ria= hi, K., Rao, S., Krey, V. et al. RCP 8.5—A scenario of comparatively high greenho= use gas emissions. Climatic Change 109, 33 (2011). https://doi.org/10.1007/s10584-011-0149-y

Wol= fskill, L., Valenzuela, K. (2017): Impacto del cambio climático en el Bioclima de = las costas mexicanas: retrospectiva, presente y prospectiva. XLI Semana Naciona= l de Energía Solar 2017. Pp.13-18, ANES, ISES, AMIE. Del 6 al 8 de octubre de 2= 017, Guadalajara, Jalisco, México.

 

 

 

 

 

 

 

 

 

 

 

 

PARA CITAR EL ARTĂŤCU= LO INDEXADO.

 

 

Pacheco Pacheco, J. J., & Matovelle Bustos, C. M. (2021). Análisis de la influencia del embalse Hidroeléctrico Mazar en el bioclima de la ciudad de Paute. ConcienciaDigital, 4(2), 39-54. https://doi.org/10.33= 262/concienciadigital.v4i2.1626

 

 


 

 

 

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

 

El artĂ­culo queda en propiedad de la revista y, por tanto, su publicaciĂłn pa= rcial y/o total en otro medio tiene que ser autorizado por el director de la Revista Conciencia Digital.<= /o:p>

 

         =                                      Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â =                                      Â=  Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â  =

 

 



[1] Universidad CatĂłlica de Cuenca, MaestrĂ­a en Construcciones con MenciĂłn e= n la AdministraciĂłn de la ConstrucciĂłn Sustentable, Azuay, Ecuador, johnny.pacheco.37@est.ucac= ue.edu.ec, https://orcid.org/0000-0001-7993-7653=

[2] Universidad CatĂłl= ica de Cuenca, Grupo de InvestigaciĂłn en Geociencias, Ambiente y Recursos Natural= es, Azuay, Ecuador, cmmatovelleb@ucacue.edu.ec, http= s://orcid.org/0000-0003-2267-0323

 

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