Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil

Detalhes bibliográficos
Autor(a) principal: Barrios Lopez, Juan Felipe
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
Texto Completo: http://repositorio.ufes.br/handle/10/9358
Resumo: The rain interception is the first process by which rainwater reaches a watershed, therefore its study and control is essential in the hydrological cycle. This paper determines the interception of rainwater in a section of the Atlantic Forest in the Duas Bocas Biological Reserve (DBBR) in the municipality of Cariacica, ES, Brazil. The period of analysis and data collection starts in September 2014 and ends in September 2015. In order to accomplish the main goal, four thermo-pluviometric automatic stations were installed, three of which capture internal precipitation under the canopy and one captures rainfall from the open sky. The stations include automatic rain gauges with data collection every 5 minutes. In addition, monthly monitoring of precipitation below the canopy was conducted with the internal stations, and through hemispherical photographs using a fish-eye lens F 3,5CS Bower (AE) and Gap Leaf Area (GLA) software. The photographs were obtained in the time interval from 07: 00h to 09: 00h, thus avoiding direct sun and high intensity. In order to define the location of the stations while avoiding significant open spaces in the treetops, and seeking similarities in the tree canopies, three parcels were selected with three plots each. The heights of the trees were measured in each plot using an inclinometer, and circumference at breast height (CBH) converted into diameter at breast height (DBH). Considering only the trees with DBH greater than 10 cm. Thermo-pluviometric stations were installed for data collection and application of the interception model proposed by Horton (1919), Blake (1975) and Lima; Nicolielo (1983). Additionally, the rains were classified according to the parameters of the National Institute of Meteorology (INMET), considering 0-5mm storm events as weak, 5.1-25mm as intermediate, and 25.1mm and over as strong. The results show that the station 1 had the greatest losses of annual rainfall intercepted (239.4mm), with 344 events and 175.6mm of rain not intercepted, followed by station 2 with 511,6mm, 481 events and 226.6mm of rain not intercepted, and last was station 3 with 613.8mm, 3. 631 events and 371,2mm of rain not intercepted. All data were acquired through the control monitoring station. In the case of canopy stations, it was shown that the station 1 had better results compared to the other stations in the forest, with an average monthly coverage of 84.8% and 4.58 m / m2 of Leaf Area Index (LAI), followed by station 2 with 83.2% and 4.39 m / m2, and station 3 with 77.4% of covered area and 3.83 m / m2. The rain interception, which was the main goal of this paper, showed that station 1 obtained the highest values, with 57.8% and average monthly 43.7mm of rain intercepted, followed by the station 2 with 51.7% and 36. 9 mm of rain intercepted, and station 3 obtained 38.1% and 26.1 mm of rain intercepted in monthly averages. In relation to rainfall events, 96.6% were classified as weak and intercepted at the three stations. Intermediate and strong events correspond respectively to 2.7% and 0.6% of total 2223 events. Therefore was found that factors such as canopy, intensity, number of rainfall events interfere on quantification of interception, showed moderate correlations, strong and very strong respectively.
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spelling Marchioro, EbervalBarrios Lopez, Juan FelipeSaiter, Felipe ZamborliniAlbino, Jacqueline2018-08-01T23:45:55Z2018-08-012018-08-01T23:45:55Z2016-06-23The rain interception is the first process by which rainwater reaches a watershed, therefore its study and control is essential in the hydrological cycle. This paper determines the interception of rainwater in a section of the Atlantic Forest in the Duas Bocas Biological Reserve (DBBR) in the municipality of Cariacica, ES, Brazil. The period of analysis and data collection starts in September 2014 and ends in September 2015. In order to accomplish the main goal, four thermo-pluviometric automatic stations were installed, three of which capture internal precipitation under the canopy and one captures rainfall from the open sky. The stations include automatic rain gauges with data collection every 5 minutes. In addition, monthly monitoring of precipitation below the canopy was conducted with the internal stations, and through hemispherical photographs using a fish-eye lens F 3,5CS Bower (AE) and Gap Leaf Area (GLA) software. The photographs were obtained in the time interval from 07: 00h to 09: 00h, thus avoiding direct sun and high intensity. In order to define the location of the stations while avoiding significant open spaces in the treetops, and seeking similarities in the tree canopies, three parcels were selected with three plots each. The heights of the trees were measured in each plot using an inclinometer, and circumference at breast height (CBH) converted into diameter at breast height (DBH). Considering only the trees with DBH greater than 10 cm. Thermo-pluviometric stations were installed for data collection and application of the interception model proposed by Horton (1919), Blake (1975) and Lima; Nicolielo (1983). Additionally, the rains were classified according to the parameters of the National Institute of Meteorology (INMET), considering 0-5mm storm events as weak, 5.1-25mm as intermediate, and 25.1mm and over as strong. The results show that the station 1 had the greatest losses of annual rainfall intercepted (239.4mm), with 344 events and 175.6mm of rain not intercepted, followed by station 2 with 511,6mm, 481 events and 226.6mm of rain not intercepted, and last was station 3 with 613.8mm, 3. 631 events and 371,2mm of rain not intercepted. All data were acquired through the control monitoring station. In the case of canopy stations, it was shown that the station 1 had better results compared to the other stations in the forest, with an average monthly coverage of 84.8% and 4.58 m / m2 of Leaf Area Index (LAI), followed by station 2 with 83.2% and 4.39 m / m2, and station 3 with 77.4% of covered area and 3.83 m / m2. The rain interception, which was the main goal of this paper, showed that station 1 obtained the highest values, with 57.8% and average monthly 43.7mm of rain intercepted, followed by the station 2 with 51.7% and 36. 9 mm of rain intercepted, and station 3 obtained 38.1% and 26.1 mm of rain intercepted in monthly averages. In relation to rainfall events, 96.6% were classified as weak and intercepted at the three stations. Intermediate and strong events correspond respectively to 2.7% and 0.6% of total 2223 events. Therefore was found that factors such as canopy, intensity, number of rainfall events interfere on quantification of interception, showed moderate correlations, strong and very strong respectively.La interceptación pluvial es el primer proceso por el cual el agua lluvia llega a una cuenca hidrográfica, así su estudio y control es esencial en el ciclo hidrológico. Debido a esto, este trabajo determina la interceptación de agua lluvia en un fragmento de Mata Atlántica en la Reserva Biológica de Duas Bocas (RBDB) en el municipio de Cariacica, ES, Brasil. El período de análisis y obtención de datos comienza a partir de septiembre de 2014 hasta septiembre 2015. Para cumplir el objetivo principal, fue necesario instalar cuatro estaciones automáticas termopluviométricas, 3 de ellas capturan precipitación interna al encontrarse debajo del dosel arbóreo y 1 precipitación total a cielo abierto, las estaciones están compuestas por pluviómetros automáticos con captación de datos a cada 5 minutos. Paralelo a ello, se realizó monitoreo mensual del dosel arbóreo de las estaciones de precipitación interna, a través de fotografías hemisféricas utilizando un lente ojo de pescado Bower F 3,5CS (AE). y el software GLA (Gap Leaf Area) ®. Las fotografias se obtuvieron en el intervalo horario de 07: 00h a 09: 00h. Evitando así, perpendicularidad del sol y alta intensidad. Como metodología para definir la ubicación de las estaciones evitando clareras significativas (espacios abiertos en la copa de los arboles) y procurando semejanzas en los doseles arbóreos, conjuntamente fueron seleccionadas tres parcelas experimentales con 3subparcelas cada una. De cada parcela fueron colectadas la altura de los árboles, utilizando clinómetro, y circunferencia a la altura del pecho (CAP.), convertidos a DAP (diámetro a la altura del pecho). Considerado sólo los árboles con CAP. mayor de 10 cm. Posteriormente fueron instalas las estaciones termopluviométricas para colecta de datos y utilización del modelo de interceptación propuesto por Horton (1919), Blake (1975) e Lima; Nicolielo (1983). Adicionalmente, las lluvias registradas fueron clasificadas siguiendo los parámetros del Instituto Nacional de Meteorología (INMET), considerando eventos pluviales de 0-5mm como débiles, intermediarios de 5,1-25mm y eventos fuertes a partir de 25,1mm. Los resultados muestran que la estación 1 obtuvo mayores pérdidas por lluvia interceptada con 239,4mm anuales, con 344 eventos y 175,6mm de lluvia no interceptadas, seguida de la estación 2 con 511,6mm, 481 eventos y 226,6mm de lluvia no interceptada, y finalmente la estación 3 registró 613,8mm, 631 eventos y 371,2mm de precipitación no interceptada, todos los dados fueron adquiridos a través de las informaciones pluviométricas de la estación control. En el caso de dosel arbóreo de las estaciones, fue evidenciado que la estación 1 posee mayores resultados en comparación con las otras estaciones del bosque, con un promedio de cobertura mensual de 84,8% y 4,58 m/m2 de Índice de Área Foliar (IAF). Seguida por la estación 2 con 83,2% y 4,39 m/m2, y la estación 3 posee 77,4% de área cubierta y 3,83 m/m2 de IAF. La interceptación pluvial, objeto principal del presente trabajo, permitió percibir que la estación 1 obtuvo los mayores valores, con 57,8 % y 43,7mm de promedio mensual de lluvia interceptada, seguida por la estación 2 con 51,7 % y 36,9 mm de lluvia interceptados, y la estación 3 obtuvo 38,1% y 26,1 mm de promedio mensual de lluvia interceptada. En relación a los eventos pluviométricos, el 96,6% fueron clasificados como eventos débiles y totalmente interceptados en las tres estaciones. Los eventos intermediarios y fuertes corresponden respectivamente a 2,7% e 0,6% del total de 2223 eventos. Por lo tanto, fueron evidenciados factores como dosel, intensidad, número de eventos e índices pluviométricos interfieren en la estimativa de la interceptación, evidenciando correlaciones moderadas, fuertes y muy fuertes, respectivamente.A interceptação é o primeiro processo pelo qual a água da chuva passa na bacia hidrográfica, sendo seu monitoramento fundamental no sistema hidrológico. Em função disto, este trabalho analisa a interceptação das águas pluviais em um fragmento de Mata Atlântica da Reserva Biológica de Duas Bocas (RBDB), no município de Cariacica, ES, Brasil, no período compreendido entre setembro de 2014 e setembro de 2015. Para atingir os objetivos foram instaladas quatro estações termopluviométricas automáticas, sendo três delas captadoras de precipitação interna (Pi - E1, E2 e E3), estando sob o dossel da floresta primária e, uma de precipitação total (PT - EC) a céu aberto; todas compostas por pluviômetros automáticos com monitoramento de dados a cada 5 minutos. Concomitante ao monitoramento da interceptação foi realizado o acompanhamento mensal da área do dossel da cobertura florestal por meio de fotografias hemisféricas, utilizando lente olho de peixe modelo Bower F 3,5CS(AE). A obtenção da área do dossel foi efetuada mediante uso do software Gap Leaf Area (GLA®) para os três pluviômetros sob floresta. Como metodologia para definir a localização das estações foram evitadas as clareiras e procurou-se semelhanças nos dosséis na instalação de três parcelas experimentais com 3 subparcelas cada uma, com uso do clinômetro foram obtidos dados de altura das árvores, e com cinta métrica, Circunferência à Altura do Peito (CAP) e Diâmetro à Altura do Peito (DAP), considerando apenas as árvores com CAP maior que 10 cm. Posteriormente foram instaladas as estações termopluviométricas para estimativa de interceptação e uso do modelo proposto por Horton (1919), Blake (1975) e Lima; Nicolielo (1983). Além disso os dados de chuva foram classificados por evento segundo sua intensidade e quantidade, seguindo os intervalos do Instituto Nacional de Meteorologia (INMET), eventos fracos de 0 a 5 mm, intermediários de 5,1 25 mm e eventos fortes 25,1mm >. Os resultados de índices pluviais, evidenciaram dominância na E1 ao obter maiores perdas por interceptação com registro de Pi 239,4mm anuais, com 344 eventos e 175,6mm de chuvas não interceptadas, seguida da estação 2 com 511,6mm, 481 eventos e 226,6mm de chuva não interceptada, e finalmente na estação 3 apresentou-se 613,8 de chuva anual, 631 eventos e 371,2mm de chuva não interceptada, todos os dados foram obtidos a partir das informações pluviométricas da estação controle (EC). Os dados de cobertura vegetal apontaram que a estação 1 possui maior percentual de cobertura no dossel em relação aos demais pontos da floresta, com uma média de 85 % de área protegida e 4,57 m/m2 de Índice de Área Foliar (IAF) seguida da estação 2 com 84,25% e 4,53 m/m2 enquanto a estação 3 possui 80,09% de área coberta e 3,97 m/m2 de IAF. A interceptação pluvial, objeto principal do presente trabalho, evidenciou que a E1 também obteve maiores percentuais de interceptação, 57,85%, seguida da estação 2 com 51,74 %, enquanto a estação 3 apresentou 38,1%. Em relação ao número de eventos pluviométricos, 96,6% foram classificados como fracos apresentando interceptações de até o 98,4% nas três estações. Os eventos intermediários e fortes corresponderam a 2,7% e 0,6% respectivamente do total de eventos (2223). Portanto é verificado que fatores como dossel, intensidade, número de eventos e os índices pluviométricos interferem na quantificação da interceptação, constatado nas correlações moderas, fortes e muito fortes.TextBARRIOS LOPEZ, Juan Felipe. Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil. 2016. xi, 143 f. Dissertação (Mestrado em Geografia) - Universidade Federal do Espírito Santo, Centro de Ciências Humanas e Naturais.http://repositorio.ufes.br/handle/10/9358porUniversidade Federal do Espírito SantoMestrado em GeografiaPrograma de Pós-Graduação em GeografiaUFESBRHidrologia de florestaPrecipitaçãoDossel ArbóreoHidrologia florestalPrecipitação (Meteorologia)Dosséis florestaisGeografia91Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)instname:Universidade Federal do Espírito Santo (UFES)instacron:UFESORIGINALtese_9990_Juan Felipe.pdfapplication/pdf9509515http://repositorio.ufes.br/bitstreams/14d5f696-516b-474d-ab7f-e512071aaf6d/downloadc89e1d7de2d9428202589e19a5e91b8dMD5110/93582024-07-01 20:33:36.063oai:repositorio.ufes.br:10/9358http://repositorio.ufes.brRepositório InstitucionalPUBhttp://repositorio.ufes.br/oai/requestopendoar:21082024-07-11T14:29:13.425190Repositório Institucional da Universidade Federal do Espírito Santo (riUfes) - Universidade Federal do Espírito Santo (UFES)false
dc.title.none.fl_str_mv Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
title Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
spellingShingle Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
Barrios Lopez, Juan Felipe
Hidrologia de floresta
Precipitação
Dossel Arbóreo
Geografia
Hidrologia florestal
Precipitação (Meteorologia)
Dosséis florestais
91
title_short Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
title_full Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
title_fullStr Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
title_full_unstemmed Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
title_sort Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil
author Barrios Lopez, Juan Felipe
author_facet Barrios Lopez, Juan Felipe
author_role author
dc.contributor.advisor1.fl_str_mv Marchioro, Eberval
dc.contributor.author.fl_str_mv Barrios Lopez, Juan Felipe
dc.contributor.referee1.fl_str_mv Saiter, Felipe Zamborlini
dc.contributor.referee2.fl_str_mv Albino, Jacqueline
contributor_str_mv Marchioro, Eberval
Saiter, Felipe Zamborlini
Albino, Jacqueline
dc.subject.por.fl_str_mv Hidrologia de floresta
Precipitação
Dossel Arbóreo
topic Hidrologia de floresta
Precipitação
Dossel Arbóreo
Geografia
Hidrologia florestal
Precipitação (Meteorologia)
Dosséis florestais
91
dc.subject.cnpq.fl_str_mv Geografia
dc.subject.br-rjbn.none.fl_str_mv Hidrologia florestal
Precipitação (Meteorologia)
Dosséis florestais
dc.subject.udc.none.fl_str_mv 91
description The rain interception is the first process by which rainwater reaches a watershed, therefore its study and control is essential in the hydrological cycle. This paper determines the interception of rainwater in a section of the Atlantic Forest in the Duas Bocas Biological Reserve (DBBR) in the municipality of Cariacica, ES, Brazil. The period of analysis and data collection starts in September 2014 and ends in September 2015. In order to accomplish the main goal, four thermo-pluviometric automatic stations were installed, three of which capture internal precipitation under the canopy and one captures rainfall from the open sky. The stations include automatic rain gauges with data collection every 5 minutes. In addition, monthly monitoring of precipitation below the canopy was conducted with the internal stations, and through hemispherical photographs using a fish-eye lens F 3,5CS Bower (AE) and Gap Leaf Area (GLA) software. The photographs were obtained in the time interval from 07: 00h to 09: 00h, thus avoiding direct sun and high intensity. In order to define the location of the stations while avoiding significant open spaces in the treetops, and seeking similarities in the tree canopies, three parcels were selected with three plots each. The heights of the trees were measured in each plot using an inclinometer, and circumference at breast height (CBH) converted into diameter at breast height (DBH). Considering only the trees with DBH greater than 10 cm. Thermo-pluviometric stations were installed for data collection and application of the interception model proposed by Horton (1919), Blake (1975) and Lima; Nicolielo (1983). Additionally, the rains were classified according to the parameters of the National Institute of Meteorology (INMET), considering 0-5mm storm events as weak, 5.1-25mm as intermediate, and 25.1mm and over as strong. The results show that the station 1 had the greatest losses of annual rainfall intercepted (239.4mm), with 344 events and 175.6mm of rain not intercepted, followed by station 2 with 511,6mm, 481 events and 226.6mm of rain not intercepted, and last was station 3 with 613.8mm, 3. 631 events and 371,2mm of rain not intercepted. All data were acquired through the control monitoring station. In the case of canopy stations, it was shown that the station 1 had better results compared to the other stations in the forest, with an average monthly coverage of 84.8% and 4.58 m / m2 of Leaf Area Index (LAI), followed by station 2 with 83.2% and 4.39 m / m2, and station 3 with 77.4% of covered area and 3.83 m / m2. The rain interception, which was the main goal of this paper, showed that station 1 obtained the highest values, with 57.8% and average monthly 43.7mm of rain intercepted, followed by the station 2 with 51.7% and 36. 9 mm of rain intercepted, and station 3 obtained 38.1% and 26.1 mm of rain intercepted in monthly averages. In relation to rainfall events, 96.6% were classified as weak and intercepted at the three stations. Intermediate and strong events correspond respectively to 2.7% and 0.6% of total 2223 events. Therefore was found that factors such as canopy, intensity, number of rainfall events interfere on quantification of interception, showed moderate correlations, strong and very strong respectively.
publishDate 2016
dc.date.issued.fl_str_mv 2016-06-23
dc.date.accessioned.fl_str_mv 2018-08-01T23:45:55Z
dc.date.available.fl_str_mv 2018-08-01
2018-08-01T23:45:55Z
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dc.identifier.citation.fl_str_mv BARRIOS LOPEZ, Juan Felipe. Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil. 2016. xi, 143 f. Dissertação (Mestrado em Geografia) - Universidade Federal do Espírito Santo, Centro de Ciências Humanas e Naturais.
dc.identifier.uri.fl_str_mv http://repositorio.ufes.br/handle/10/9358
identifier_str_mv BARRIOS LOPEZ, Juan Felipe. Interceptação de águas pluviais em um fragmento florestal de Mata Atlântica da Reserva Biológica de Duas Bocas, Cariacica (ES) Brasil. 2016. xi, 143 f. Dissertação (Mestrado em Geografia) - Universidade Federal do Espírito Santo, Centro de Ciências Humanas e Naturais.
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Mestrado em Geografia
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Geografia
dc.publisher.initials.fl_str_mv UFES
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do Espírito Santo
Mestrado em Geografia
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