Modeling the Distribution of Agricultural Drought by Means of Soil

Autores
Capriolo, Alberto Daniel; Scarpati, Olga Eugenia
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The extreme hydrologic events in Buenos Aires province (Argentina) had been a constant in its social - economic development. Their impacts mainly over the agriculture have been studied with different scales and point of views. In spite of that, there is a lack of studies of their temporal and spatial distribution in Argentina. Drought is initiated by a reduction in precipitation. The time requires for a lack of rainfall to create a significant deficit in the supplies is variable and could vary from a few weeks to several years. This paper studies the soil water deficit from 1969 to 2008 in the whole Buenos Aires province (307,571 km2) which is divided in 16 sectors according its basins (National Water Resources) and with soil water balance using soil data obtained “in situ”. It was performed using the evapotranspitation formula of Penman - Monteith and considering the soil water constants: Field Capacity, Soil Water Moisture and Soil Wilting Point for all the different types of soils of the region. For the statistical study, the obtained data series of soil water deficit were adjusted by means of the theoretical Normal Cubic-root probability distribution. An annual threshold value of 200 mm is considered because it is an ecological limit and upper which the drought is the consequence. The intensity of it has been arbitrary classified in: mild, moderate, severe and extreme according the annual values reached. Mann Kendall statistical test was performed and significance trends at levels 0.1, 0.05 and 0.01 were found.
Fil: Capriolo, Alberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scarpati, Olga Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Departamento de Geografía; Argentina
Materia
SOIL WATER DEFICIT
DROUGHT
BUENOS AIRES PROVINCE
SOIL WATER BALANCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17622
Acceder
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spelling Modeling the Distribution of Agricultural Drought by Means of SoilCapriolo, Alberto DanielScarpati, Olga EugeniaSOIL WATER DEFICITDROUGHTBUENOS AIRES PROVINCESOIL WATER BALANCEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The extreme hydrologic events in Buenos Aires province (Argentina) had been a constant in its social - economic development. Their impacts mainly over the agriculture have been studied with different scales and point of views. In spite of that, there is a lack of studies of their temporal and spatial distribution in Argentina. Drought is initiated by a reduction in precipitation. The time requires for a lack of rainfall to create a significant deficit in the supplies is variable and could vary from a few weeks to several years. This paper studies the soil water deficit from 1969 to 2008 in the whole Buenos Aires province (307,571 km2) which is divided in 16 sectors according its basins (National Water Resources) and with soil water balance using soil data obtained “in situ”. It was performed using the evapotranspitation formula of Penman - Monteith and considering the soil water constants: Field Capacity, Soil Water Moisture and Soil Wilting Point for all the different types of soils of the region. For the statistical study, the obtained data series of soil water deficit were adjusted by means of the theoretical Normal Cubic-root probability distribution. An annual threshold value of 200 mm is considered because it is an ecological limit and upper which the drought is the consequence. The intensity of it has been arbitrary classified in: mild, moderate, severe and extreme according the annual values reached. Mann Kendall statistical test was performed and significance trends at levels 0.1, 0.05 and 0.01 were found.Fil: Capriolo, Alberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scarpati, Olga Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Departamento de Geografía; ArgentinaCanadian Center of Science and Education2012-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17622Capriolo, Alberto Daniel; Scarpati, Olga Eugenia; Modeling the Distribution of Agricultural Drought by Means of Soil; Canadian Center of Science and Education; Energy and Environment Research; 2; 2; 6-2012; 1-121927-05691927-0577enginfo:eu-repo/semantics/altIdentifier/doi/10.5539/eer.v2n2p1info:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/eer/article/view/17036info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:55Zoai:ri.conicet.gov.ar:11336/17622instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:55.521CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeling the Distribution of Agricultural Drought by Means of Soil
title Modeling the Distribution of Agricultural Drought by Means of Soil
spellingShingle Modeling the Distribution of Agricultural Drought by Means of Soil
Capriolo, Alberto Daniel
SOIL WATER DEFICIT
DROUGHT
BUENOS AIRES PROVINCE
SOIL WATER BALANCE
title_short Modeling the Distribution of Agricultural Drought by Means of Soil
title_full Modeling the Distribution of Agricultural Drought by Means of Soil
title_fullStr Modeling the Distribution of Agricultural Drought by Means of Soil
title_full_unstemmed Modeling the Distribution of Agricultural Drought by Means of Soil
title_sort Modeling the Distribution of Agricultural Drought by Means of Soil
dc.creator.none.fl_str_mv Capriolo, Alberto Daniel
Scarpati, Olga Eugenia
author Capriolo, Alberto Daniel
author_facet Capriolo, Alberto Daniel
Scarpati, Olga Eugenia
author_role author
author2 Scarpati, Olga Eugenia
author2_role author
dc.subject.none.fl_str_mv SOIL WATER DEFICIT
DROUGHT
BUENOS AIRES PROVINCE
SOIL WATER BALANCE
topic SOIL WATER DEFICIT
DROUGHT
BUENOS AIRES PROVINCE
SOIL WATER BALANCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The extreme hydrologic events in Buenos Aires province (Argentina) had been a constant in its social - economic development. Their impacts mainly over the agriculture have been studied with different scales and point of views. In spite of that, there is a lack of studies of their temporal and spatial distribution in Argentina. Drought is initiated by a reduction in precipitation. The time requires for a lack of rainfall to create a significant deficit in the supplies is variable and could vary from a few weeks to several years. This paper studies the soil water deficit from 1969 to 2008 in the whole Buenos Aires province (307,571 km2) which is divided in 16 sectors according its basins (National Water Resources) and with soil water balance using soil data obtained “in situ”. It was performed using the evapotranspitation formula of Penman - Monteith and considering the soil water constants: Field Capacity, Soil Water Moisture and Soil Wilting Point for all the different types of soils of the region. For the statistical study, the obtained data series of soil water deficit were adjusted by means of the theoretical Normal Cubic-root probability distribution. An annual threshold value of 200 mm is considered because it is an ecological limit and upper which the drought is the consequence. The intensity of it has been arbitrary classified in: mild, moderate, severe and extreme according the annual values reached. Mann Kendall statistical test was performed and significance trends at levels 0.1, 0.05 and 0.01 were found.
Fil: Capriolo, Alberto Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scarpati, Olga Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación. Departamento de Geografía; Argentina
description The extreme hydrologic events in Buenos Aires province (Argentina) had been a constant in its social - economic development. Their impacts mainly over the agriculture have been studied with different scales and point of views. In spite of that, there is a lack of studies of their temporal and spatial distribution in Argentina. Drought is initiated by a reduction in precipitation. The time requires for a lack of rainfall to create a significant deficit in the supplies is variable and could vary from a few weeks to several years. This paper studies the soil water deficit from 1969 to 2008 in the whole Buenos Aires province (307,571 km2) which is divided in 16 sectors according its basins (National Water Resources) and with soil water balance using soil data obtained “in situ”. It was performed using the evapotranspitation formula of Penman - Monteith and considering the soil water constants: Field Capacity, Soil Water Moisture and Soil Wilting Point for all the different types of soils of the region. For the statistical study, the obtained data series of soil water deficit were adjusted by means of the theoretical Normal Cubic-root probability distribution. An annual threshold value of 200 mm is considered because it is an ecological limit and upper which the drought is the consequence. The intensity of it has been arbitrary classified in: mild, moderate, severe and extreme according the annual values reached. Mann Kendall statistical test was performed and significance trends at levels 0.1, 0.05 and 0.01 were found.
publishDate 2012
dc.date.none.fl_str_mv 2012-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/17622
Capriolo, Alberto Daniel; Scarpati, Olga Eugenia; Modeling the Distribution of Agricultural Drought by Means of Soil; Canadian Center of Science and Education; Energy and Environment Research; 2; 2; 6-2012; 1-12
1927-0569
1927-0577
url http://hdl.handle.net/11336/17622
identifier_str_mv Capriolo, Alberto Daniel; Scarpati, Olga Eugenia; Modeling the Distribution of Agricultural Drought by Means of Soil; Canadian Center of Science and Education; Energy and Environment Research; 2; 2; 6-2012; 1-12
1927-0569
1927-0577
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5539/eer.v2n2p1
info:eu-repo/semantics/altIdentifier/url/http://www.ccsenet.org/journal/index.php/eer/article/view/17036
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Canadian Center of Science and Education
publisher.none.fl_str_mv Canadian Center of Science and Education
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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