Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Ramon, Rafael lattes
Orientador(a): Minella, Jean Paolo Gomes lattes
Banca de defesa: Cassol, Elemar Antonino lattes, Reichert, José Miguel lattes
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Centro de Ciências Rurais
Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência do Solo
Departamento: Agronomia
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/11344
Resumo: One of the challenges of modern agriculture is adapting to climatic effects, including the capability of rainfall events in causing erosion. Understanding the climatic phenomena depends on the monitoring of rain variables that express the magnitude and pattern of erosive agents. The kinetic energy of rain (E) and the maximum intensity of 30 minutes (I30) are key variables to represent the capability of rain in causing erosion, and the product of the two being one of the most known and used erosivity indices (EI30). However, in Brazil, to obtain direct and continuous measurements of E are incipient, as long series of rain intensity data (I) are scarce. Therefore, empirical equations based on rainfall information that are easy to acquire as daily or monthly accumulated rain (P) are used. The aim of this study is to analyze a set of data with hydrological variables, especially rainfall characteristics (volume, duration and energy) responsible for triggering the erosion process and its relationship with flow behavior (Q), suspended sediment concentration (SSC) and sediment yield (SY) in a rural catchment. From the analysis of the variables, E and EI30 estimation equations are proposed for the study site. The study was conducted in a 1.23 km² experimental catchment located in southern Brazil, where monitoring of the main hydrological flows (P, Q and SSC) has been carried out since 2002. P is monitored with pluviometers and rain gauges, and E has been measured since 2014 by a disdrometer (Parsivel2 - OTT). From this set of data, different equations for the estimation of E=f(I) and models for the estimation of EI30 were explored. Complementarily, a comparison was made between the equations obtained with equations available in the literature for the estimation of E and EI30. Additionally, this study also explored seasonal variations in rainfall characteristics (I30 P, E) and related them to Q, SSC and SY of the catchment in order to demonstrate the importance of E and I30 for the hydrossedimentological modeling. The measured E values were similar to the values estimated by the equations of Foster et al. (1981) and van Dijk et al. (2002), while Brown and Foster (1987) equation underestimate the values of E. EI30 was also quantified over a period of 8 years and an equation was proposed to estimate EI30 by accumulated daily rainfall variables. From 15 years of data, an annual EI30 value is presented and its average distribution between the 12 months of the year. The main results are: (a) a new equation for estimating E from the I measurement, its seasonal variability and similarities with equations previously known; (B) the relationship between measured E data and measured hydrological variables at catchment scale; (C) the EI30 factor for the Arvorezinha/RS region; (D) new indices for estimating EI30 from daily rainfall records.
id UFSM_edcaca57a1778c20fbb585b10567b89b
oai_identifier_str oai:repositorio.ufsm.br:1/11344
network_acronym_str UFSM
network_name_str Biblioteca Digital de Teses e Dissertações do UFSM
repository_id_str
spelling 2017-08-10T14:19:32Z2017-08-10T14:19:32Z2017-02-20http://repositorio.ufsm.br/handle/1/11344One of the challenges of modern agriculture is adapting to climatic effects, including the capability of rainfall events in causing erosion. Understanding the climatic phenomena depends on the monitoring of rain variables that express the magnitude and pattern of erosive agents. The kinetic energy of rain (E) and the maximum intensity of 30 minutes (I30) are key variables to represent the capability of rain in causing erosion, and the product of the two being one of the most known and used erosivity indices (EI30). However, in Brazil, to obtain direct and continuous measurements of E are incipient, as long series of rain intensity data (I) are scarce. Therefore, empirical equations based on rainfall information that are easy to acquire as daily or monthly accumulated rain (P) are used. The aim of this study is to analyze a set of data with hydrological variables, especially rainfall characteristics (volume, duration and energy) responsible for triggering the erosion process and its relationship with flow behavior (Q), suspended sediment concentration (SSC) and sediment yield (SY) in a rural catchment. From the analysis of the variables, E and EI30 estimation equations are proposed for the study site. The study was conducted in a 1.23 km² experimental catchment located in southern Brazil, where monitoring of the main hydrological flows (P, Q and SSC) has been carried out since 2002. P is monitored with pluviometers and rain gauges, and E has been measured since 2014 by a disdrometer (Parsivel2 - OTT). From this set of data, different equations for the estimation of E=f(I) and models for the estimation of EI30 were explored. Complementarily, a comparison was made between the equations obtained with equations available in the literature for the estimation of E and EI30. Additionally, this study also explored seasonal variations in rainfall characteristics (I30 P, E) and related them to Q, SSC and SY of the catchment in order to demonstrate the importance of E and I30 for the hydrossedimentological modeling. The measured E values were similar to the values estimated by the equations of Foster et al. (1981) and van Dijk et al. (2002), while Brown and Foster (1987) equation underestimate the values of E. EI30 was also quantified over a period of 8 years and an equation was proposed to estimate EI30 by accumulated daily rainfall variables. From 15 years of data, an annual EI30 value is presented and its average distribution between the 12 months of the year. The main results are: (a) a new equation for estimating E from the I measurement, its seasonal variability and similarities with equations previously known; (B) the relationship between measured E data and measured hydrological variables at catchment scale; (C) the EI30 factor for the Arvorezinha/RS region; (D) new indices for estimating EI30 from daily rainfall records.Um dos desafios da agricultura moderna é a adaptação aos efeitos climáticos, dentre eles a capacidade dos eventos chuvosos em causar erosão. A compreensão dos fenômenos climáticos depende necessariamente do monitoramento das variáveis da chuva que expressarão a magnitude e o padrão dos agentes erosivos. A energia cinética da chuva (E) e a intensidade máxima de 30 minutos (I30) são variáveis fundamentais para representar a capacidade da chuva em causar erosão, sendo o produto das duas um dos índices de erosividade (EI30) mais conhecidos e utilizados. Entretanto, no Brasil, a obtenção de medidas diretas e contínuas da E são incipientes, assim como longas séries de dados de intensidade da chuva (I) são escassos. Por conta disso, são utilizadas equações empíricas baseadas em informações da chuva que são de fácil aquisição como chuva acumulada (P) diária ou mensal. O objetivo deste trabalho é analisar um conjunto de dados com variáveis hidrológicas, especialmente propriedades da chuva (volume, duração e energia) responsáveis pelo desencadeamento do processo de erosão hídrica, e sua relação com o comportamento da vazão (Q), concentração de sedimentos em suspensão (CSS) e produção de sedimentos (PS) em uma bacia hidrográfica rural. A partir da análise das variáveis são propostas equações de estimativa da E e EI30 para o local de estudo. O estudo foi conduzido em uma bacia hidrográfica experimental de 1.23 km², localizada no sul do Brasil onde é realizado o monitoramento dos principais fluxos hidrológicos (P, Q e CSS) desde 2002. A P é monitorada com pluviômetros e pluviógrafos, e a E tem sido medida desde 2014 por um disdrômetro (Parsivel2 – OTT). A partir desse conjunto de dados foram exploradas diferentes equações para a estimativa da E = f(I) e também modelos para a estimativa do EI30. Complementarmente, foi realizada uma comparação entre as equações obtidas com equações disponíveis na literatura para a estimativa da E e EI30. Além disso, esse estudo também explorou variações sazonais nas propriedades da chuva (I30, P, E) e as relacionou com a Q, CSS e PS da bacia na busca de demonstrar a importância da E e I30 para a modelagem hidrossedimentológica. Os valores de E medidos foram semelhantes aos valores estimados pelas equações de Foster et al. (1981) e van Dijk et al. (2002), ao passo que a equação de Brown e Foster (1987) subestima os valores de E. Também foi quantificado o EI30 em um período de 8 anos e proposto uma equação para estimativa do EI30 por variáveis de chuva acumulada na escala diária. A partir de 15 anos de dados é apresentado um valor de EI30 anual e sua distribuição média entre os 12 meses do ano. Os principais resultados encontrados são: (a) uma nova equação para estimativa da E a partir da I medida, sua variabilidade sazonal e semelhanças com equações conhecidas previamente; (b) a relação entre dados de E medida e variáveis hidrológicas medidas na escala de bacia hidrográfica; (c) o fator EI30 para a região de Arvorezinha/RS; (d) novos índices para estimativa do EI30 a partir de registros de chuva diários.Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqporUniversidade Federal de Santa MariaCentro de Ciências RuraisPrograma de Pós-Graduação em Ciência do SoloUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessDisdrômetroErosão hídricaMonitoramento ambientalConservação do soloRecursos hídricosDisdrometerWater erosionEnvironmental monitoringSoil conservationWater resourcesCNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLOMedição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RSKinetic energy measurement of rainfall and defining a pluvial index to estimate erosivity in Arvorezinha / RSinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisMinella, Jean Paolo Gomeshttp://lattes.cnpq.br/3194231720402587Cassol, Elemar Antoninohttp://lattes.cnpq.br/2664594428441096Reichert, José Miguelhttp://lattes.cnpq.br/0910765178697312http://lattes.cnpq.br/7488547404459124Ramon, Rafael5001001000056006000be3342c-3c6d-4254-86a4-ae1d23338ab762fb3233-efe7-4c79-89b2-b44e7c9be9345a483bb0-7762-44a4-b3c0-087709927adece667b2e-016e-44f9-b53f-e28d71d4359dreponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALRamon, Rafael.pdfRamon, Rafael.pdfDissertação de Mestradoapplication/pdf3288703http://repositorio.ufsm.br/bitstream/1/11344/1/Ramon%2c%20Rafael.pdf4c3568242753c0add4b5684468607585MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8804http://repositorio.ufsm.br/bitstream/1/11344/2/license_rdfc1efe8e24d7281448e873be30ea326ffMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81956http://repositorio.ufsm.br/bitstream/1/11344/3/license.txt2f0571ecee68693bd5cd3f17c1e075dfMD53TEXTRamon, Rafael.pdf.txtRamon, Rafael.pdf.txtExtracted texttext/plain186784http://repositorio.ufsm.br/bitstream/1/11344/4/Ramon%2c%20Rafael.pdf.txtf2050f2e217d83cb258a47db7fa889e5MD54THUMBNAILRamon, Rafael.pdf.jpgRamon, Rafael.pdf.jpgIM Thumbnailimage/jpeg4325http://repositorio.ufsm.br/bitstream/1/11344/5/Ramon%2c%20Rafael.pdf.jpgd4345e00524ef348a76c7cba7250022fMD551/113442017-08-23 21:47:55.321oai:repositorio.ufsm.br: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 Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2017-08-24T00:47:55Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.por.fl_str_mv Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
dc.title.alternative.eng.fl_str_mv Kinetic energy measurement of rainfall and defining a pluvial index to estimate erosivity in Arvorezinha / RS
title Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
spellingShingle Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
Ramon, Rafael
Disdrômetro
Erosão hídrica
Monitoramento ambiental
Conservação do solo
Recursos hídricos
Disdrometer
Water erosion
Environmental monitoring
Soil conservation
Water resources
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
title_short Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
title_full Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
title_fullStr Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
title_full_unstemmed Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
title_sort Medição da energia cinética das chuvas e definição de um índice pluvial para estimativa da erosividade em Arvorezinha/RS
author Ramon, Rafael
author_facet Ramon, Rafael
author_role author
dc.contributor.advisor1.fl_str_mv Minella, Jean Paolo Gomes
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3194231720402587
dc.contributor.referee1.fl_str_mv Cassol, Elemar Antonino
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/2664594428441096
dc.contributor.referee2.fl_str_mv Reichert, José Miguel
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/0910765178697312
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7488547404459124
dc.contributor.author.fl_str_mv Ramon, Rafael
contributor_str_mv Minella, Jean Paolo Gomes
Cassol, Elemar Antonino
Reichert, José Miguel
dc.subject.por.fl_str_mv Disdrômetro
Erosão hídrica
Monitoramento ambiental
Conservação do solo
Recursos hídricos
topic Disdrômetro
Erosão hídrica
Monitoramento ambiental
Conservação do solo
Recursos hídricos
Disdrometer
Water erosion
Environmental monitoring
Soil conservation
Water resources
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
dc.subject.eng.fl_str_mv Disdrometer
Water erosion
Environmental monitoring
Soil conservation
Water resources
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
description One of the challenges of modern agriculture is adapting to climatic effects, including the capability of rainfall events in causing erosion. Understanding the climatic phenomena depends on the monitoring of rain variables that express the magnitude and pattern of erosive agents. The kinetic energy of rain (E) and the maximum intensity of 30 minutes (I30) are key variables to represent the capability of rain in causing erosion, and the product of the two being one of the most known and used erosivity indices (EI30). However, in Brazil, to obtain direct and continuous measurements of E are incipient, as long series of rain intensity data (I) are scarce. Therefore, empirical equations based on rainfall information that are easy to acquire as daily or monthly accumulated rain (P) are used. The aim of this study is to analyze a set of data with hydrological variables, especially rainfall characteristics (volume, duration and energy) responsible for triggering the erosion process and its relationship with flow behavior (Q), suspended sediment concentration (SSC) and sediment yield (SY) in a rural catchment. From the analysis of the variables, E and EI30 estimation equations are proposed for the study site. The study was conducted in a 1.23 km² experimental catchment located in southern Brazil, where monitoring of the main hydrological flows (P, Q and SSC) has been carried out since 2002. P is monitored with pluviometers and rain gauges, and E has been measured since 2014 by a disdrometer (Parsivel2 - OTT). From this set of data, different equations for the estimation of E=f(I) and models for the estimation of EI30 were explored. Complementarily, a comparison was made between the equations obtained with equations available in the literature for the estimation of E and EI30. Additionally, this study also explored seasonal variations in rainfall characteristics (I30 P, E) and related them to Q, SSC and SY of the catchment in order to demonstrate the importance of E and I30 for the hydrossedimentological modeling. The measured E values were similar to the values estimated by the equations of Foster et al. (1981) and van Dijk et al. (2002), while Brown and Foster (1987) equation underestimate the values of E. EI30 was also quantified over a period of 8 years and an equation was proposed to estimate EI30 by accumulated daily rainfall variables. From 15 years of data, an annual EI30 value is presented and its average distribution between the 12 months of the year. The main results are: (a) a new equation for estimating E from the I measurement, its seasonal variability and similarities with equations previously known; (B) the relationship between measured E data and measured hydrological variables at catchment scale; (C) the EI30 factor for the Arvorezinha/RS region; (D) new indices for estimating EI30 from daily rainfall records.
publishDate 2017
dc.date.accessioned.fl_str_mv 2017-08-10T14:19:32Z
dc.date.available.fl_str_mv 2017-08-10T14:19:32Z
dc.date.issued.fl_str_mv 2017-02-20
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufsm.br/handle/1/11344
url http://repositorio.ufsm.br/handle/1/11344
dc.language.iso.fl_str_mv por
language por
dc.relation.cnpq.fl_str_mv 500100100005
dc.relation.confidence.fl_str_mv 600
600
dc.relation.authority.fl_str_mv 0be3342c-3c6d-4254-86a4-ae1d23338ab7
62fb3233-efe7-4c79-89b2-b44e7c9be934
5a483bb0-7762-44a4-b3c0-087709927ade
ce667b2e-016e-44f9-b53f-e28d71d4359d
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Ciência do Solo
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Centro de Ciências Rurais
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações do UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Biblioteca Digital de Teses e Dissertações do UFSM
collection Biblioteca Digital de Teses e Dissertações do UFSM
bitstream.url.fl_str_mv http://repositorio.ufsm.br/bitstream/1/11344/1/Ramon%2c%20Rafael.pdf
http://repositorio.ufsm.br/bitstream/1/11344/2/license_rdf
http://repositorio.ufsm.br/bitstream/1/11344/3/license.txt
http://repositorio.ufsm.br/bitstream/1/11344/4/Ramon%2c%20Rafael.pdf.txt
http://repositorio.ufsm.br/bitstream/1/11344/5/Ramon%2c%20Rafael.pdf.jpg
bitstream.checksum.fl_str_mv 4c3568242753c0add4b5684468607585
c1efe8e24d7281448e873be30ea326ff
2f0571ecee68693bd5cd3f17c1e075df
f2050f2e217d83cb258a47db7fa889e5
d4345e00524ef348a76c7cba7250022f
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações do UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
_version_ 1793240097114554368