Índice de calidad del agua recolectada en el río Bogotáun análisis mediante la computación cognitiva Watson

  1. Barrera-Williams, Carolina
  2. Montenegro-Marín, Carlos Enrique
  3. Gaona-García, Paulo Alonso
Aldizkaria:
Ingenio Magno

ISSN: 2422-2399 2145-9282

Argitalpen urtea: 2017

Zenbakien izenburua: Ingenio Magno Vol. 8-1

Alea: 8

Zenbakia: 1

Orrialdeak: 104-117

Mota: Artikulua

Beste argitalpen batzuk: Ingenio Magno

Laburpena

This article analyzes the data on the water quality of the Bogotá river during the period 2008-2015, provided by the Autonomous Regional Corporation of Cundinamarca (CAR); For this purpose cognitive computation is applied, in order to establish the most signifcant changes that have been presented. In addition, a space-time analysis is performed of the related variables in the water resource in the upper basin, in order to contribute to a mechanism that facilitates the understanding of the behavior, over time, of the state of water quality. This will make it possible for territorial entities to have new criteria and visions when formulating or reformulating new plans. IBM Watson is used as an analysis tool.

Erreferentzia bibliografikoak

  • Alcaldía Mayor de Bogotá (1997). Río Bogotá. Recuperado de http://www.banrepcultural.org/node/19162
  • Corporación Autónoma Regional de Cundinamarca (CAR) (2013). Objetivos de calidad. Recuperadode https://www.car.gov.co/index.php?idcategoria=64243&download=Y
  • Chang, F. J., Tsai, Y. H., Chen, P. A., Coynel, A. y Vachaud, G. (2015). Modeling water quality in an urban river using hydrological factors – Data driven approaches. Journal of Environmental Management, 151, 87-96.
  • Chang, N. B., Chen, H. W. y Ning, S. K. (2001). Identifcation of river water quality using the fuzzy synthetic evaluation approach. Journal of Environmental Management, 63(3), 293-305.
  • Chau, K. (2006). A review on integration of artifcial intelligence into water quality modelling. Marine Pollution Bulletin, 52(7), 726-733.
  • Corporacion Colombia Digital (2015). Cinco usos de la computación cognitiva. Recuperado de https://www.colombiadigital.net/actualidad/articulos-informativos/item/8602-cinco-usos-de-la-computacion-cognitiva.html
  • Ferrucci, D. et al. (2010). Building Watson: An overview of the DeepQA Project. Recuperado de http://web.archive.org/web/20120120185642/http://www.stanford.edu/class/cs124/AIMagzine-DeepQA.pdf
  • Hammond, A., Adriaanse, A., Rodenburg, E., Bryant, D. y Woodward, R. (1995). Environmental indicators: A systematic approach to measuring and reporting on environmental policy performance in the context of sustainable development. Recuperado de http://pdf.wri.org/environmentalindicators_bw.pdf
  • IBM (s. f.). ¿Qué es IBM Watson? Recuperado de http://cognitiva.la/que-es-ibm-watson/
  • IBM (2013). IBM Power Systems: informática cognitiva con IBM Watson compilado sobre Power - Colombia. IBM Corporation. Recuperado de http://www-03.ibm.com/systems/co/power/solutions/cognitive-computing.html
  • IBM Watson (2011). Un desafío para la historia - Colombia. Recuperado de http://www-03.ibm.com/systems/co/power/advantages/watson/index.html
  • Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM) (2011). Hoja metodológica del indicador Índice de calidad del agua (Versión 1,00). Bogotá: Autor
  • Lobbrecht, A. H., Dibike, Y. B. y Solomatine, D. P. (2002). Hydroinformatics applications of neural networks and fuzzy logic to integrated water management project report. Recueerado de https://www.researchgate.net/publication/268203104_Hydroinformatics_Applications_of_Neural_Networks_and_Fuzzy_Logic_to_Integrated_Water_Management_Project_Report
  • McCord, M. C. (1990). Slot grammar: A system for simpler construction of practical natural language grammars. En Natural Language and Logic: International Scientifc Symposium. Berlín: Srpinger-Verlag.
  • Miller, J. D. (2016). Learning IBM Watson Analytics: make the most advanced predictive analytical processes easy using Watson Analytics with this easy-to-follow practical guide. Birmingham: Packt Publ. Recuperado de http://cds.cern.ch/record/2152952
  • Ministerio de la Protección Social (2007). Decreto 1575 de 2007, por el cual se establece el Sistema para la Protección y Control de la Calidad del Agua para Consumo Humano. Recuperado de http://www.minambiente.
  • gov.co/images/normativa/decretos/2007/dec_1775_2007.pdf
  • Prato, T. (2005). A fuzzy logic approach for evaluating ecosystem sustainability. Ecological Modelling, 187(2-3), 361-368.
  • Roland, E., Uhrmacher, A. y Saha, K. (2009). Data mining for simulation algorithm selection. Recuperado de http://dl.acm.org/citation.cfm?id=1537633
  • Rosado, A. y Verjel, A. (2015). Minería de datos aplicada a la demanda del transporte aéreo en Ocaña, Norte de Santander. Tecnura, 19(45), 101-113.
  • The DeepQA Research Team - IBM (20132). IBM Corporation. Recuperado de http://researcher.watson.ibm.com/researcher/view_group.php?id=2099