Uncertainty of the agricultural grey water footprint based on high resolution primary data
The water footprint has been established as an indicator to assess water use by a product. However, the grey component of the water footprint (GWF) has received the least focus compared to the green and blue components. In developing countries, the GWF estimation is restricted by the availability of...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/9070
- Acceso en línea:
- https://link.springer.com/article/10.1007/s11269-017-1674-x
http://hdl.handle.net/20.500.12010/9070
- Palabra clave:
- Farming systems
Environmental indicators
Greenhouse production
Polluted water
Smallholder agriculture
Agricultura - Aspectos ambientales
Abastecimiento de agua
- Rights
- License
- Abierto (Texto Completo)
id |
UTADEO2_6547b9659e163e5d10245ad862f88cb6 |
---|---|
oai_identifier_str |
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/9070 |
network_acronym_str |
UTADEO2 |
network_name_str |
Expeditio: repositorio UTadeo |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
title |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
spellingShingle |
Uncertainty of the agricultural grey water footprint based on high resolution primary data Farming systems Environmental indicators Greenhouse production Polluted water Smallholder agriculture Agricultura - Aspectos ambientales Abastecimiento de agua |
title_short |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
title_full |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
title_fullStr |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
title_full_unstemmed |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
title_sort |
Uncertainty of the agricultural grey water footprint based on high resolution primary data |
dc.subject.spa.fl_str_mv |
Farming systems Environmental indicators Greenhouse production Polluted water Smallholder agriculture |
topic |
Farming systems Environmental indicators Greenhouse production Polluted water Smallholder agriculture Agricultura - Aspectos ambientales Abastecimiento de agua |
dc.subject.lemb.spa.fl_str_mv |
Agricultura - Aspectos ambientales Abastecimiento de agua |
description |
The water footprint has been established as an indicator to assess water use by a product. However, the grey component of the water footprint (GWF) has received the least focus compared to the green and blue components. In developing countries, the GWF estimation is restricted by the availability of data concerning crop practices. The various biophysical and socioeconomic settings configure a system difficult to standardize even for small areas. The objective of this study was to assess the GWF uncertainty due to primary data for the main greenhouse tomato production from Colombia. The GWF for N and P fertilizers and pesticides were estimated based on detailed crop information collected from 2010 to 2013. The uncertainty was evaluated by fitting univariate theoretical distributions to the empirical distributions of the pollutants’ GWFs. Growers applied on average 419.2 and 201.9 kg ha−1 of N and P fertilizers per cycle, respectively. The average rates of application for fungicides and insecticides were 11.8 and 3.5 kg ha−1, respectively. The average GWF for N and P fertilizers and pesticides were 79, 6182.1 and 223.2 m3 t−1, respectively. The empirical distributions of the GWF for N fertilizer and pesticides were fitted to a lognormal distribution while for P fertilizer the Weibull distribution showed the best fit. The pesticides GWF showed the highest coefficient of variation (615.3%), however the results for N and P fertilizers were also high with values of 79.8 and 74.1%, respectively. Additional to the methodological choices involved in the GWF estimation, the primary data is a relevant uncertainty source, which should be considered for systems operating under unstandardized practices. The decision making process to regulate the pollutants losses from the agroecosystem, based on environmental assessments such as the GWF, should consider all sources of uncertainty and address its implications in a quantitatively form. |
publishDate |
2017 |
dc.date.created.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-04-29T17:49:24Z |
dc.date.available.none.fl_str_mv |
2020-04-29T17:49:24Z |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.identifier.other.spa.fl_str_mv |
https://link.springer.com/article/10.1007/s11269-017-1674-x |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12010/9070 |
dc.identifier.doi.spa.fl_str_mv |
10.1007/s11269-017-1674-x |
dc.identifier.instname.spa.fl_str_mv |
instname:Universidad de Bogotá Jorge Tadeo Lozano |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional de la Universidad de Bogotá Jorge Tadeo Lozano |
url |
https://link.springer.com/article/10.1007/s11269-017-1674-x http://hdl.handle.net/20.500.12010/9070 |
identifier_str_mv |
10.1007/s11269-017-1674-x instname:Universidad de Bogotá Jorge Tadeo Lozano reponame:Repositorio Institucional de la Universidad de Bogotá Jorge Tadeo Lozano |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.extent.spa.fl_str_mv |
12 páginas |
dc.format.mimetype.spa.fl_str_mv |
image/jepg |
dc.coverage.spatial.spa.fl_str_mv |
Bogotá, Colombia |
dc.publisher.spa.fl_str_mv |
Universidad de Bogotá Jorge Tadeo Lozano |
institution |
Universidad de Bogotá Jorge Tadeo Lozano |
bitstream.url.fl_str_mv |
https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/2/license.txt https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/1/Captura.PNG https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/3/9473.pdf https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/4/Captura.PNG https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/5/9473.pdf.jpg |
bitstream.checksum.fl_str_mv |
abceeb1c943c50d3343516f9dbfc110f 6d8ace490464f66edbf009de9b4fd324 1337a69f36ae0d9ab99749fd81917248 6d8ace490464f66edbf009de9b4fd324 72156ae96b0b6f6a5f6f19be6eb9b7c1 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Universidad Jorge Tadeo Lozano |
repository.mail.fl_str_mv |
expeditio@utadeo.edu.co |
_version_ |
1814213822845550592 |
spelling |
Bogotá, Colombia2020-04-29T17:49:24Z2020-04-29T17:49:24Z2017https://link.springer.com/article/10.1007/s11269-017-1674-xhttp://hdl.handle.net/20.500.12010/907010.1007/s11269-017-1674-xinstname:Universidad de Bogotá Jorge Tadeo Lozanoreponame:Repositorio Institucional de la Universidad de Bogotá Jorge Tadeo LozanoThe water footprint has been established as an indicator to assess water use by a product. However, the grey component of the water footprint (GWF) has received the least focus compared to the green and blue components. In developing countries, the GWF estimation is restricted by the availability of data concerning crop practices. The various biophysical and socioeconomic settings configure a system difficult to standardize even for small areas. The objective of this study was to assess the GWF uncertainty due to primary data for the main greenhouse tomato production from Colombia. The GWF for N and P fertilizers and pesticides were estimated based on detailed crop information collected from 2010 to 2013. The uncertainty was evaluated by fitting univariate theoretical distributions to the empirical distributions of the pollutants’ GWFs. Growers applied on average 419.2 and 201.9 kg ha−1 of N and P fertilizers per cycle, respectively. The average rates of application for fungicides and insecticides were 11.8 and 3.5 kg ha−1, respectively. The average GWF for N and P fertilizers and pesticides were 79, 6182.1 and 223.2 m3 t−1, respectively. The empirical distributions of the GWF for N fertilizer and pesticides were fitted to a lognormal distribution while for P fertilizer the Weibull distribution showed the best fit. The pesticides GWF showed the highest coefficient of variation (615.3%), however the results for N and P fertilizers were also high with values of 79.8 and 74.1%, respectively. Additional to the methodological choices involved in the GWF estimation, the primary data is a relevant uncertainty source, which should be considered for systems operating under unstandardized practices. The decision making process to regulate the pollutants losses from the agroecosystem, based on environmental assessments such as the GWF, should consider all sources of uncertainty and address its implications in a quantitatively form.12 páginasimage/jepgUniversidad de Bogotá Jorge Tadeo LozanoFarming systemsEnvironmental indicatorsGreenhouse productionPolluted waterSmallholder agricultureAgricultura - Aspectos ambientalesAbastecimiento de aguaUncertainty of the agricultural grey water footprint based on high resolution primary dataArtículoinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Gil, RodrigoBojacá, Carlos RicardoSchrevens, EddieLICENSElicense.txtlicense.txttext/plain; charset=utf-82938https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/2/license.txtabceeb1c943c50d3343516f9dbfc110fMD52open accessORIGINALCaptura.PNGCaptura.PNGVer portadaimage/png115921https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/1/Captura.PNG6d8ace490464f66edbf009de9b4fd324MD51open access9473.pdf9473.pdfArtículo reservadoapplication/pdf540523https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/3/9473.pdf1337a69f36ae0d9ab99749fd81917248MD53embargoed access|||2200-04-29THUMBNAILCaptura.PNGCaptura.PNGVer portadaimage/png115921https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/4/Captura.PNG6d8ace490464f66edbf009de9b4fd324MD54open access9473.pdf.jpg9473.pdf.jpgIM Thumbnailimage/jpeg12571https://expeditiorepositorio.utadeo.edu.co/bitstream/20.500.12010/9070/5/9473.pdf.jpg72156ae96b0b6f6a5f6f19be6eb9b7c1MD55open access20.500.12010/9070oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/90702020-04-29 12:51:39.349open accessRepositorio Institucional - Universidad Jorge Tadeo Lozanoexpeditio@utadeo.edu.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 |