Analysis of the atmospheric macro-physical using spatial methods
Digital
- Autores:
-
Andrades-Grassi, J. E.
Cuesta-Herrera, L.
Torres-Mantilla, H. A.
López-Hernández, J. Y.
- Tipo de recurso:
- Documento de conferencia en no proceso
- Fecha de publicación:
- 2020
- Institución:
- Universidad de Santander
- Repositorio:
- Repositorio Universidad de Santander
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.udes.edu.co:001/6685
- Acceso en línea:
- https://repositorio.udes.edu.co/handle/001/6685
- Palabra clave:
- Rights
- openAccess
- License
- © Copyright 2022 The Authors, IOP Publishing
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Andrades-Grassi, J. E.d17e33ae-4ba6-4c3d-9038-c8cfe34abf7d-1Cuesta-Herrera, L.6e9f37e3-23b1-4bdf-82a0-2ae06cc165a0-1Torres-Mantilla, H. A.8098996d-4b53-4c27-91a5-1ad65b260063-1López-Hernández, J. Y.126bea83-97b3-4cdc-85b0-1e328629a903-12022-05-04T22:30:03Z2022-05-04T22:30:03Z2020-12-01DigitalThe central western area of Venezuela has an unequal distribution of precipitation. Due to its agricultural importance, is necessary to plan water accounting and this requires a evaluation of spatial and temporal variability of precipitation and an estimate of local geophysical effect from the relief. In this research we use an iterative computationally lattice approach to perform a confirmatory analysis of the variability and the spatial correlation structure in monthly precipitation stations. Spatial correlograms and pooled empirical semivariogram were applied to evaluate the most appropriate spatial weighting matrix to estimate the Moran’s I. The altitude effect over monthly rainfall was estimated through spatial regression algorithm which determine the predominant spatial process in each slice. A homogeneous spatial stochastic process with positive spatial autocorrelation is evidenced. There is a trend towards a higher frequency of spatial error and spatial auto-regressive processes between the months of June and August whilst there are not dominant process between October and December. This response is caused by the dynamics of the intertropical convergence zone, which generates a seasonal effect on precipitation. These estimations allows decision-making in modeling and will lead to an improvement for analysis and forecasting in areas strongly affected by climate change and water stress.7 papplication/pdf10.1088/1742-6596/1702/1/012011https://repositorio.udes.edu.co/handle/001/6685engReino UnidoJ E Andrades-Grassi et al 2020 J. Phys.: Conf. Ser. 1702 0120114-6 November 2020San Jose de Cucuta, ColombiaVII International Conference Days of Applied Mathematics© Copyright 2022 The Authors, IOP Publishinginfo:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2https://iopscience.iop.org/article/10.1088/1742-6596/1702/1/012011/pdfAnalysis of the atmospheric macro-physical using spatial methodsDocumento de Conferenciahttp://purl.org/coar/resource_type/c_18cphttp://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Todas las AudienciasPublicationORIGINALAnalysis of the atmospheric macro-physical using spatial methods.pdfAnalysis of the atmospheric macro-physical using spatial methods.pdfapplication/pdf223382https://repositorio.udes.edu.co/bitstreams/62511593-e753-41cc-b256-bbdcc3c657eb/downloadaa6a112cdd3abb4119944b9648d82f68MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-859https://repositorio.udes.edu.co/bitstreams/ed859d92-c063-4700-b62a-76d56146dffd/download38d94cf55aa1bf2dac1a736ac45c881cMD52TEXTAnalysis of the atmospheric macro-physical using spatial methods.pdf.txtAnalysis of the atmospheric macro-physical using spatial methods.pdf.txtExtracted texttext/plain5https://repositorio.udes.edu.co/bitstreams/83bcde7b-6f60-4bd2-9aac-603e07d7d76f/download5dbe86c1111d64f45ba435df98fdc825MD53THUMBNAILAnalysis of the atmospheric macro-physical using spatial methods.pdf.jpgAnalysis of the atmospheric macro-physical using spatial methods.pdf.jpgGenerated Thumbnailimage/jpeg10312https://repositorio.udes.edu.co/bitstreams/ad482547-5f40-44eb-bfba-1ab5acf20aa1/downloada09cd296901520ba9e8eb5e6a2f6b1aeMD54001/6685oai:repositorio.udes.edu.co:001/66852023-10-12 16:20:33.694https://creativecommons.org/licenses/by/4.0/© Copyright 2022 The Authors, IOP Publishinghttps://repositorio.udes.edu.coRepositorio Universidad de Santandersoporte@metabiblioteca.comTGljZW5jaWEgZGUgUHVibGljYWNpw7NuIFVERVMKRGlyZWN0cmljZXMgZGUgVVNPIHkgQUNDRVNPCgo= |
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Analysis of the atmospheric macro-physical using spatial methods |
| title |
Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Analysis of the atmospheric macro-physical using spatial methods |
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Andrades-Grassi, J. E. Cuesta-Herrera, L. Torres-Mantilla, H. A. López-Hernández, J. Y. |
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Andrades-Grassi, J. E. Cuesta-Herrera, L. Torres-Mantilla, H. A. López-Hernández, J. Y. |
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Digital |
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2020 |
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2020-12-01 |
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2022-05-04T22:30:03Z |
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2022-05-04T22:30:03Z |
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Documento de Conferencia |
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eng |
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eng |
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J E Andrades-Grassi et al 2020 J. Phys.: Conf. Ser. 1702 012011 |
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4-6 November 2020 |
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San Jose de Cucuta, Colombia |
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VII International Conference Days of Applied Mathematics |
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© Copyright 2022 The Authors, IOP Publishing |
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