IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Caatinga |
Texto Completo: | https://periodicos.ufersa.edu.br/caatinga/article/view/2056 |
Resumo: | Identification of groundwater quality similarities may help to reduce the number of monitoring stations required in water bodies. This research was carried out to identify groundwater quality similarity using a multivariate statistical technique called cluster analysis in the Baixo Acaraú Irrigation District (DIBAU) in Ceará, Brazil. Ten shallow wells randomly located in the DIBAU were regularly monitored for a period of 27 months (Dec/2003-Nov/2005, Nov/2006, Mar and Apr/2007). Samples were analyzed for pH, Ca2+, Mg2+, Na+, K+, Cl-, CO32-, HCO3-, SO42-, PO43-, NH4+, NO3-, electric conductivity (EC) and sodium adsorption ratio (SAR). Descriptive statistics, hierarchal cluster analysis, and the t-test (1%) were evaluated using SPSS 16.0. The water in all but two wells was classified as acidic, and the average pH was lower than five. Phosphorus concentrations were always above the recommended limit for human consumption (0.1 mg L-1). Moreover, the results show that the groundwater quality was used to define four clusters that were independent of the geographic position of the wells. EC values, sodium and chloride concentrations in the water samples distinguished two wells (P1 and P7) from the others, and pH, Mg2+ and SAR distinguished these two wells, one from the other. |
id |
UFERSA-1_cfac8a5372b58f9eb384409243dbec06 |
---|---|
oai_identifier_str |
oai:ojs.periodicos.ufersa.edu.br:article/2056 |
network_acronym_str |
UFERSA-1 |
network_name_str |
Revista Caatinga |
repository_id_str |
|
spelling |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSISCluster analysis. Water salinity. Dissimilarity. Water quality.Identification of groundwater quality similarities may help to reduce the number of monitoring stations required in water bodies. This research was carried out to identify groundwater quality similarity using a multivariate statistical technique called cluster analysis in the Baixo Acaraú Irrigation District (DIBAU) in Ceará, Brazil. Ten shallow wells randomly located in the DIBAU were regularly monitored for a period of 27 months (Dec/2003-Nov/2005, Nov/2006, Mar and Apr/2007). Samples were analyzed for pH, Ca2+, Mg2+, Na+, K+, Cl-, CO32-, HCO3-, SO42-, PO43-, NH4+, NO3-, electric conductivity (EC) and sodium adsorption ratio (SAR). Descriptive statistics, hierarchal cluster analysis, and the t-test (1%) were evaluated using SPSS 16.0. The water in all but two wells was classified as acidic, and the average pH was lower than five. Phosphorus concentrations were always above the recommended limit for human consumption (0.1 mg L-1). Moreover, the results show that the groundwater quality was used to define four clusters that were independent of the geographic position of the wells. EC values, sodium and chloride concentrations in the water samples distinguished two wells (P1 and P7) from the others, and pH, Mg2+ and SAR distinguished these two wells, one from the other.Universidade Federal Rural do Semi-Árido2011-09-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/2056REVISTA CAATINGA; Vol. 24 No. 4 (2011); 130-136Revista Caatinga; v. 24 n. 4 (2011); 130-1361983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAporhttps://periodicos.ufersa.edu.br/caatinga/article/view/2056/pdfAndrade, Eunice Maia deAquino, Deodato do NascimentoGuerreiro, Maria JoãoChaves, Luiz Carlos GuerreiroRodrigues, Joseilson Oliverainfo:eu-repo/semantics/openAccess2018-12-07T16:33:05Zoai:ojs.periodicos.ufersa.edu.br:article/2056Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2018-12-07T16:33:05Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
title |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
spellingShingle |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS Andrade, Eunice Maia de Cluster analysis. Water salinity. Dissimilarity. Water quality. |
title_short |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
title_full |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
title_fullStr |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
title_full_unstemmed |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
title_sort |
IDENTIFICATION OF GROUNDWATER QUALITY SIMILARITY USING MULTIVARIABLE ANALYSIS |
author |
Andrade, Eunice Maia de |
author_facet |
Andrade, Eunice Maia de Aquino, Deodato do Nascimento Guerreiro, Maria João Chaves, Luiz Carlos Guerreiro Rodrigues, Joseilson Olivera |
author_role |
author |
author2 |
Aquino, Deodato do Nascimento Guerreiro, Maria João Chaves, Luiz Carlos Guerreiro Rodrigues, Joseilson Olivera |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Andrade, Eunice Maia de Aquino, Deodato do Nascimento Guerreiro, Maria João Chaves, Luiz Carlos Guerreiro Rodrigues, Joseilson Olivera |
dc.subject.por.fl_str_mv |
Cluster analysis. Water salinity. Dissimilarity. Water quality. |
topic |
Cluster analysis. Water salinity. Dissimilarity. Water quality. |
description |
Identification of groundwater quality similarities may help to reduce the number of monitoring stations required in water bodies. This research was carried out to identify groundwater quality similarity using a multivariate statistical technique called cluster analysis in the Baixo Acaraú Irrigation District (DIBAU) in Ceará, Brazil. Ten shallow wells randomly located in the DIBAU were regularly monitored for a period of 27 months (Dec/2003-Nov/2005, Nov/2006, Mar and Apr/2007). Samples were analyzed for pH, Ca2+, Mg2+, Na+, K+, Cl-, CO32-, HCO3-, SO42-, PO43-, NH4+, NO3-, electric conductivity (EC) and sodium adsorption ratio (SAR). Descriptive statistics, hierarchal cluster analysis, and the t-test (1%) were evaluated using SPSS 16.0. The water in all but two wells was classified as acidic, and the average pH was lower than five. Phosphorus concentrations were always above the recommended limit for human consumption (0.1 mg L-1). Moreover, the results show that the groundwater quality was used to define four clusters that were independent of the geographic position of the wells. EC values, sodium and chloride concentrations in the water samples distinguished two wells (P1 and P7) from the others, and pH, Mg2+ and SAR distinguished these two wells, one from the other. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-09-14 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/2056 |
url |
https://periodicos.ufersa.edu.br/caatinga/article/view/2056 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufersa.edu.br/caatinga/article/view/2056/pdf |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido |
dc.source.none.fl_str_mv |
REVISTA CAATINGA; Vol. 24 No. 4 (2011); 130-136 Revista Caatinga; v. 24 n. 4 (2011); 130-136 1983-2125 0100-316X reponame:Revista Caatinga instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
instname_str |
Universidade Federal Rural do Semi-Árido (UFERSA) |
instacron_str |
UFERSA |
institution |
UFERSA |
reponame_str |
Revista Caatinga |
collection |
Revista Caatinga |
repository.name.fl_str_mv |
Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
patricio@ufersa.edu.br|| caatinga@ufersa.edu.br |
_version_ |
1754734745141379072 |