Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1080/01431161.2019.1688416 http://hdl.handle.net/11449/198141 |
Resumo: | In order to make feasible the use of irrigated areas of the Pontal Sul Irrigation Scheme in Petrolina, State of Pernambuco, Brazil, modelling of real evapotranspiration (ET) and plant biomass production (BIO) at a large scale was performed with associated agro-meteorological data and the algorithm SAFER (Simple Algorithm For Evapotranspiration Retrieving) using MODIS images for the years 2010–2017. The year 2012 presented the highest ET average with 3.15 mm day−1 in the rainy season, reaching a maximum of 6 mm day−1. The lowest mean ET was recorded in the year 2013, with 0.08 mm day−1 in the dry season, and the maximum recorded for the period was 3.40 mm day−1 in the irrigated agricultural area. For BIO, the highest average was 104.82 kg ha−1 day−1, during the rainy season of 2012, reaching a maximum value of 252 kg ha−1 day−1. The lowest average was for the dry period of 2013, with a value of 0.93 kg ha−1 day−1, and a maximum of 112.51 kg ha−1 day−1 in the irrigated agricultural area. The higher ET results represent moisture in the root zone, provided by rainfall and/or irrigation, showing maximum values in the rainy season. The results obtained for BIO suffer greatly from perimeter water availability. The present study becomes very important to the management of water resources, as it provides an increase in water productivity for food production. |
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Evapotranspiration and biomass modelling in the Pontal Sul Irrigation SchemeIn order to make feasible the use of irrigated areas of the Pontal Sul Irrigation Scheme in Petrolina, State of Pernambuco, Brazil, modelling of real evapotranspiration (ET) and plant biomass production (BIO) at a large scale was performed with associated agro-meteorological data and the algorithm SAFER (Simple Algorithm For Evapotranspiration Retrieving) using MODIS images for the years 2010–2017. The year 2012 presented the highest ET average with 3.15 mm day−1 in the rainy season, reaching a maximum of 6 mm day−1. The lowest mean ET was recorded in the year 2013, with 0.08 mm day−1 in the dry season, and the maximum recorded for the period was 3.40 mm day−1 in the irrigated agricultural area. For BIO, the highest average was 104.82 kg ha−1 day−1, during the rainy season of 2012, reaching a maximum value of 252 kg ha−1 day−1. The lowest average was for the dry period of 2013, with a value of 0.93 kg ha−1 day−1, and a maximum of 112.51 kg ha−1 day−1 in the irrigated agricultural area. The higher ET results represent moisture in the root zone, provided by rainfall and/or irrigation, showing maximum values in the rainy season. The results obtained for BIO suffer greatly from perimeter water availability. The present study becomes very important to the management of water resources, as it provides an increase in water productivity for food production.Graduate Program in Agronomy/Irrigation and Drainage Department of Rural Engineering São Paulo State University/UNESPFederal University of Sergipe/PRORHEmbrapa InstrumentationGraduate Program in Agronomy/Irrigation and Drainage Department of Rural Engineering São Paulo State University/UNESPUniversidade Estadual Paulista (Unesp)Universidade Federal de Sergipe (UFS)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Araujo, Leandro Moscôso [UNESP]Teixeira, Antônio Heriberto de Castro [UNESP]Bassoi, Luís Henrique [UNESP]2020-12-12T01:00:18Z2020-12-12T01:00:18Z2020-03-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2326-2338http://dx.doi.org/10.1080/01431161.2019.1688416International Journal of Remote Sensing, v. 41, n. 6, p. 2326-2338, 2020.1366-59010143-1161http://hdl.handle.net/11449/19814110.1080/01431161.2019.16884162-s2.0-85074984187Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Remote Sensinginfo:eu-repo/semantics/openAccess2021-10-23T09:06:15Zoai:repositorio.unesp.br:11449/198141Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:22:58.360857Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
title |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
spellingShingle |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme Araujo, Leandro Moscôso [UNESP] |
title_short |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
title_full |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
title_fullStr |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
title_full_unstemmed |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
title_sort |
Evapotranspiration and biomass modelling in the Pontal Sul Irrigation Scheme |
author |
Araujo, Leandro Moscôso [UNESP] |
author_facet |
Araujo, Leandro Moscôso [UNESP] Teixeira, Antônio Heriberto de Castro [UNESP] Bassoi, Luís Henrique [UNESP] |
author_role |
author |
author2 |
Teixeira, Antônio Heriberto de Castro [UNESP] Bassoi, Luís Henrique [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de Sergipe (UFS) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Araujo, Leandro Moscôso [UNESP] Teixeira, Antônio Heriberto de Castro [UNESP] Bassoi, Luís Henrique [UNESP] |
description |
In order to make feasible the use of irrigated areas of the Pontal Sul Irrigation Scheme in Petrolina, State of Pernambuco, Brazil, modelling of real evapotranspiration (ET) and plant biomass production (BIO) at a large scale was performed with associated agro-meteorological data and the algorithm SAFER (Simple Algorithm For Evapotranspiration Retrieving) using MODIS images for the years 2010–2017. The year 2012 presented the highest ET average with 3.15 mm day−1 in the rainy season, reaching a maximum of 6 mm day−1. The lowest mean ET was recorded in the year 2013, with 0.08 mm day−1 in the dry season, and the maximum recorded for the period was 3.40 mm day−1 in the irrigated agricultural area. For BIO, the highest average was 104.82 kg ha−1 day−1, during the rainy season of 2012, reaching a maximum value of 252 kg ha−1 day−1. The lowest average was for the dry period of 2013, with a value of 0.93 kg ha−1 day−1, and a maximum of 112.51 kg ha−1 day−1 in the irrigated agricultural area. The higher ET results represent moisture in the root zone, provided by rainfall and/or irrigation, showing maximum values in the rainy season. The results obtained for BIO suffer greatly from perimeter water availability. The present study becomes very important to the management of water resources, as it provides an increase in water productivity for food production. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:00:18Z 2020-12-12T01:00:18Z 2020-03-18 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1080/01431161.2019.1688416 International Journal of Remote Sensing, v. 41, n. 6, p. 2326-2338, 2020. 1366-5901 0143-1161 http://hdl.handle.net/11449/198141 10.1080/01431161.2019.1688416 2-s2.0-85074984187 |
url |
http://dx.doi.org/10.1080/01431161.2019.1688416 http://hdl.handle.net/11449/198141 |
identifier_str_mv |
International Journal of Remote Sensing, v. 41, n. 6, p. 2326-2338, 2020. 1366-5901 0143-1161 10.1080/01431161.2019.1688416 2-s2.0-85074984187 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Remote Sensing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2326-2338 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129315141844992 |