dor_id: 4133101

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

561.#.#.u: https://www.geofisica.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/789/1353

100.1.#.a: Murat, Valerie; Rivera, Alfonso; Pouliot, Jacynthe; Miranda-salas, Marcelo; Savard, Martine M.

524.#.#.a: Murat, Valerie, et al. (2004). Aquifer vulnerability mapping and GIS: A proposal to monitor uncertainty associated with spatial data processing. Geofísica Internacional; Vol. 43 Núm. 4: Octubre 1, 2004; 551-565. Recuperado de https://repositorio.unam.mx/contenidos/4133101

245.1.0.a: Aquifer vulnerability mapping and GIS: A proposal to monitor uncertainty associated with spatial data processing

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geofísica, UNAM

264.#.0.c: 2004

264.#.1.c: 2004-10-01

653.#.#.a: Monitoreo de incertidumbre; análisis de vulnerabilidad; recursos subterráneos; SIG; DRASTIC; Uncertainty monitoring; vulnerability analysis; groundwater resources; GIS; DRASTIC model

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/789

001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/789

041.#.7.h: spa

520.3.#.a: An aquifer assessment was undertaken by the Geological Survey of Canada to estimate the sustainability and aquifer vulnerability in the St. Lawrence Lowlands of south western Quebec. The DRASTIC model and GIS was used to calculate and produce vulnerability maps. A detailed monitoring of data processing was performed to control the accuracy of the vulnerability maps. Overall estimates involved identifying errors and uncertainty associated with spatial and descriptive data used to run the model. The data analysed was related to wells, drillings, thematic maps, and also multiple processing data including errors and uncertainty attributed to calculations of the hydraulic conductivity, data interpolations, intersections of spatial data layers, etc. A categorization system using the Unified Modeling Language (UML) was proposed to categorize spatial data with respect to the degree and sources of possible uncertainties. This article presents the categorization system used, an example of an application for an study area and a discussion around its usefulness in controlling data processing (GIS and model integration). This work shows that uncertainty associated with spatial data processing and integrating data to a numerical system can be very significant, the main ambiguity occurring when cleaning data, interpolating, classifying and overlaying. Uncertainty characterization on the data processes was a valuable source of information. Monitoring the uncertainty associated with spatial data processing is almost more important to assemble than the model itself. However uncertainty monitoring may be complex and subjective and in fact it is rarely done on a regular basis mainly because it requires much more efforts compare to simply running the model.doi: https://doi.org/10.22201/igeof.00167169p.2004.43.4.789

773.1.#.t: Geofísica Internacional; Vol. 43 Núm. 4: Octubre 1, 2004; 551-565

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

022.#.#.a: ISSN-L: 2954-436X; ISSN impreso: 0016-7169

310.#.#.a: Trimestral

300.#.#.a: Páginas: 551-565

264.#.1.b: Instituto de Geofísica, UNAM

doi: https://doi.org/10.22201/igeof.00167169p.2004.43.4.789

handle: 0097ce5368d8d45c

harvesting_date: 2023-06-20 16:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2022-07-08 08:56:19.0

file_modification_date: 2022-07-15 18:36:12.0

file_creator: Valerie Murat

file_name: 852311d79dec2ce03a769a54065407d6eaf7f9ff71ca03300d5b4b4d44a59fee.pdf

file_pages_number: 16

file_format_version: application/pdf; version=1.3

file_size: 3411863

245.1.0.b: Aquifer vulnerability mapping and GIS: A proposal to monitor uncertainty associated with spatial data processing

last_modified: 2023-06-20 16:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

No entro en nada

No entro en nada 2