Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/8150 https://doi.org/10.1002/hyp.1466 |
Resumo: | This paper, the second in the series, uses the entropy theory to describe the spatial variability of groundwater quality data sets. The application of the entropy theory is illustrated using the chloride observations obtained from a network of groundwater quality monitoring wells in the Gaza Strip, Palestine. The application involves calculating information measures, such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using a discrete approach, in which contingency tables are used. An exponential decay fitting approach was applied to the discrete models. The analysis shows that transinformation, as a function of distance, can be represented by the exponential decay curve. It also indicates that, for the data used in this study, the transinformation model is superior to the correlation model for characterizing the spatial variability. Copyright © 2004 John Wiley & Sons, Ltd. |
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Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza StripThis paper, the second in the series, uses the entropy theory to describe the spatial variability of groundwater quality data sets. The application of the entropy theory is illustrated using the chloride observations obtained from a network of groundwater quality monitoring wells in the Gaza Strip, Palestine. The application involves calculating information measures, such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using a discrete approach, in which contingency tables are used. An exponential decay fitting approach was applied to the discrete models. The analysis shows that transinformation, as a function of distance, can be represented by the exponential decay curve. It also indicates that, for the data used in this study, the transinformation model is superior to the correlation model for characterizing the spatial variability. Copyright © 2004 John Wiley & Sons, Ltd.2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/8150http://hdl.handle.net/10316/8150https://doi.org/10.1002/hyp.1466engHydrological Processes. 18:13 (2004) 2579-2590Mogheir, Y.Lima, J. L. M. P. deSingh, V. P.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-25T11:38:35Zoai:estudogeral.uc.pt:10316/8150Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:12.691900Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
title |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
spellingShingle |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip Mogheir, Y. |
title_short |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
title_full |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
title_fullStr |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
title_full_unstemmed |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
title_sort |
Characterizing the spatial variability of groundwater quality using the entropy theory: II. Case study from Gaza Strip |
author |
Mogheir, Y. |
author_facet |
Mogheir, Y. Lima, J. L. M. P. de Singh, V. P. |
author_role |
author |
author2 |
Lima, J. L. M. P. de Singh, V. P. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Mogheir, Y. Lima, J. L. M. P. de Singh, V. P. |
description |
This paper, the second in the series, uses the entropy theory to describe the spatial variability of groundwater quality data sets. The application of the entropy theory is illustrated using the chloride observations obtained from a network of groundwater quality monitoring wells in the Gaza Strip, Palestine. The application involves calculating information measures, such as transinformation, the information transfer index and the correlation coefficient. These measures are calculated using a discrete approach, in which contingency tables are used. An exponential decay fitting approach was applied to the discrete models. The analysis shows that transinformation, as a function of distance, can be represented by the exponential decay curve. It also indicates that, for the data used in this study, the transinformation model is superior to the correlation model for characterizing the spatial variability. Copyright © 2004 John Wiley & Sons, Ltd. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 |
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://hdl.handle.net/10316/8150 http://hdl.handle.net/10316/8150 https://doi.org/10.1002/hyp.1466 |
url |
http://hdl.handle.net/10316/8150 https://doi.org/10.1002/hyp.1466 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Hydrological Processes. 18:13 (2004) 2579-2590 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133860159553536 |