Analysis of air quality data in the city of Bogotá through clustering techniques
Climate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions that will reduce the impact of such change. This paper proposes a strategy to gr...
- Autores:
-
Silva, Jesús
Londoño, Luz Adriana
Varela, Noel
Pineda Lezama, Omar Bonerge
Lozano Ayarza, Liliana Patricia
MOJICA HERAZO, JULIO CESAR
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7872
- Acceso en línea:
- https://hdl.handle.net/11323/7872
https://repositorio.cuc.edu.co/
- Palabra clave:
- Analysis of data
Air quality
Bogotá
Grouping techniques
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Analysis of air quality data in the city of Bogotá through clustering techniques |
| title |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| spellingShingle |
Analysis of air quality data in the city of Bogotá through clustering techniques Analysis of data Air quality Bogotá Grouping techniques |
| title_short |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| title_full |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| title_fullStr |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| title_full_unstemmed |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| title_sort |
Analysis of air quality data in the city of Bogotá through clustering techniques |
| dc.creator.fl_str_mv |
Silva, Jesús Londoño, Luz Adriana Varela, Noel Pineda Lezama, Omar Bonerge Lozano Ayarza, Liliana Patricia MOJICA HERAZO, JULIO CESAR |
| dc.contributor.author.spa.fl_str_mv |
Silva, Jesús Londoño, Luz Adriana Varela, Noel Pineda Lezama, Omar Bonerge Lozano Ayarza, Liliana Patricia MOJICA HERAZO, JULIO CESAR |
| dc.subject.spa.fl_str_mv |
Analysis of data Air quality Bogotá Grouping techniques |
| topic |
Analysis of data Air quality Bogotá Grouping techniques |
| description |
Climate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions that will reduce the impact of such change. This paper proposes a strategy to group the air quality data of the metropolitan area of the City of Bogotá from 2014 to 2018, in order to recognize the measurement patterns in the environmental contaminants that cause pre-contingencies and environmental contingencies in the area of the City of Bogotá. |
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2020 |
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2020 |
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2021-02-17T20:44:59Z |
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2021-02-17T20:44:59Z |
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Artículo de revista |
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Corporación Universidad de la Costa |
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eng |
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[1] Jyothi, S. N., Kartha, K., Mohan, A., Pai, J., & Prasad, G. (2019, November). Analysis of Air Pollution in Three Cities of Kerala by Using Air Quality Index. In Journal of Physics: Conference Series (Vol. 1362, No. 1, p. 012110). IOP Publishing. [2] Viloria, A., & Gaitan-Angulo, M. (2016). Statistical Adjustment Module Advanced Optimizer Planner and SAP Generated the Case of a Food Production Company. Indian Journal Of Science And Technology, 9(47). doi:10.17485/ijst/2016/v9i47/107371 [3] Yan, J., Li, X., Shi, Y., Sun, S., & Wang, H. (2019). The effect of intention analysis-based fraud detection systems in repeated supply Chain quality inspection: A context of learning and contract. Information & Management, 103177. [4] Niu, X., Wang, X., Gao, J., & Wang, X. (2020). Has third-party monitoring improved environmental data quality? An analysis of air pollution data in China. Journal of environmental management, 253, 109698. [5] Wahi, J. S., Thar, M. D., Garg, M., Goyal, C., & Rathi, M. (2019). Analysis of Air Quality and Impacts on Human Health. In Smart Healthcare Systems (pp. 109-123). Chapman and Hall/CRC. [6] Yang, C. T., Chen, C. J., Tsan, Y. T., Liu, P. Y., Chan, Y. W., & Chan, W. C. (2019). An implementation of real-time air quality and influenza-like illness data storage and processing platform. Computers in Human Behavior, 100, 266-274. [7] Niu, X., Wang, X., Gao, J., & Wang, X. (2020). Has third-party monitoring improved environmental data quality? An analysis of air pollution data in China. Journal of environmental management, 253, 109698. [8] Yang, R., Zhang, X., Ye, X., Wang, C., & Li, X. (2020). Ventilation modes and greenhouse structures affect 222 Rn concentration in greenhouses in China. Journal of Radioanalytical and Nuclear Chemistry, 1-9. [9] Rekhi, J. K., Nagrath, P., & Jain, R. (2020). Forecasting Air Quality of Delhi Using ARIMA Model. In Advances in Data Sciences, Security and Applications (pp. 315-325). Springer, Singapore. [10] Zhang, B., Li, L., Yao, X., Gong, Y., Zhang, Y., Yang, H., ... & Jia, H. (2020). Analysis of Air Purification Methods in Operating Rooms of Chinese Hospitals. BioMed Research International, 2020. [11] Rodríguez-Camargo, L. A., Sierra-Parada, R. J., & Blanco-Becerra, L. C. (2020). Análisis espacial de las concentraciones de PM2. 5 de acuerdo con los valores guía de calidad del aire de la OMS para enfermedades cardiopulmonares en Bogotá, DC, 2014-2015. Biomédica, 40(1). [12] Sanchez, L., Vásquez, C., & Viloria, A. (2018, June). Conglomerates of Latin American countries and public policies for the sustainable development of the electric power generation sector. In International Conference on Data Mining and Big data (pp. 759-766). Springer, Cham. [13] Guzmán, J. S., Hernandez, H. T., Mora, J. M., Piracoca, A., Vanegas, J. S., & Pachon, J. E. (2019, June). Análisis espacio temporal de concentraciones de material particulado en Bogotá: un año de operación de una red independiente. In Congreso Colombiano y Conferencia Internacional de Calidad del Aire y Salud Pública. [14] Luna, G., Andrés, M., Gonzalez, V., Mario, J., Muñoz, T., Ceron, B., & Carlos, L. (2019, August). Evaluación espacial y temporal de PM 10 y PM 2.5 en Colombiautilizando información satelital (CAMS, MODIS-AOD) y mediciones de calidad del aire en superficie. In 2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP) (pp. 1-5). IEEE. [15] Espinosa, Mónica, and Juan F. Franco. "GESTIÓN DE LA CALIDAD DEL AIRE EN BOGOTÁ." (2019). |
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Silva, JesúsLondoño, Luz AdrianaVarela, NoelPineda Lezama, Omar BonergeLozano Ayarza, Liliana PatriciaMOJICA HERAZO, JULIO CESAR2021-02-17T20:44:59Z2021-02-17T20:44:59Z20201757-89811757-899Xhttps://hdl.handle.net/11323/7872doi:10.1088/1757-899X/872/1/012027Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Climate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions that will reduce the impact of such change. This paper proposes a strategy to group the air quality data of the metropolitan area of the City of Bogotá from 2014 to 2018, in order to recognize the measurement patterns in the environmental contaminants that cause pre-contingencies and environmental contingencies in the area of the City of Bogotá.Silva, JesúsLondoño, Luz AdrianaVarela, NoelPineda Lezama, Omar BonergeLozano Ayarza, Liliana Patricia-will be generated-orcid-0000-0001-5186-2864-600MOJICA HERAZO, JULIO CESAR-will be generated-orcid-0000-0003-2078-7843-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2IOP Conference Series: Materials Science and Engineeringhttps://www.researchgate.net/publication/342502820_Analysis_of_air_quality_data_in_the_city_of_Bogota_through_clustering_techniquesAnalysis of dataAir qualityBogotáGrouping techniquesAnalysis of air quality data in the city of Bogotá through clustering techniquesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion[1] Jyothi, S. N., Kartha, K., Mohan, A., Pai, J., & Prasad, G. (2019, November). Analysis of Air Pollution in Three Cities of Kerala by Using Air Quality Index. In Journal of Physics: Conference Series (Vol. 1362, No. 1, p. 012110). IOP Publishing.[2] Viloria, A., & Gaitan-Angulo, M. (2016). Statistical Adjustment Module Advanced Optimizer Planner and SAP Generated the Case of a Food Production Company. Indian Journal Of Science And Technology, 9(47). doi:10.17485/ijst/2016/v9i47/107371[3] Yan, J., Li, X., Shi, Y., Sun, S., & Wang, H. (2019). The effect of intention analysis-based fraud detection systems in repeated supply Chain quality inspection: A context of learning and contract. Information & Management, 103177.[4] Niu, X., Wang, X., Gao, J., & Wang, X. (2020). Has third-party monitoring improved environmental data quality? An analysis of air pollution data in China. Journal of environmental management, 253, 109698.[5] Wahi, J. S., Thar, M. D., Garg, M., Goyal, C., & Rathi, M. (2019). Analysis of Air Quality and Impacts on Human Health. In Smart Healthcare Systems (pp. 109-123). Chapman and Hall/CRC.[6] Yang, C. T., Chen, C. J., Tsan, Y. T., Liu, P. Y., Chan, Y. W., & Chan, W. C. (2019). An implementation of real-time air quality and influenza-like illness data storage and processing platform. Computers in Human Behavior, 100, 266-274.[7] Niu, X., Wang, X., Gao, J., & Wang, X. (2020). Has third-party monitoring improved environmental data quality? An analysis of air pollution data in China. Journal of environmental management, 253, 109698.[8] Yang, R., Zhang, X., Ye, X., Wang, C., & Li, X. (2020). Ventilation modes and greenhouse structures affect 222 Rn concentration in greenhouses in China. Journal of Radioanalytical and Nuclear Chemistry, 1-9.[9] Rekhi, J. K., Nagrath, P., & Jain, R. (2020). Forecasting Air Quality of Delhi Using ARIMA Model. In Advances in Data Sciences, Security and Applications (pp. 315-325). Springer, Singapore.[10] Zhang, B., Li, L., Yao, X., Gong, Y., Zhang, Y., Yang, H., ... & Jia, H. (2020). Analysis of Air Purification Methods in Operating Rooms of Chinese Hospitals. BioMed Research International, 2020.[11] Rodríguez-Camargo, L. A., Sierra-Parada, R. J., & Blanco-Becerra, L. C. (2020). Análisis espacial de las concentraciones de PM2. 5 de acuerdo con los valores guía de calidad del aire de la OMS para enfermedades cardiopulmonares en Bogotá, DC, 2014-2015. Biomédica, 40(1).[12] Sanchez, L., Vásquez, C., & Viloria, A. (2018, June). Conglomerates of Latin American countries and public policies for the sustainable development of the electric power generation sector. In International Conference on Data Mining and Big data (pp. 759-766). Springer, Cham.[13] Guzmán, J. S., Hernandez, H. T., Mora, J. M., Piracoca, A., Vanegas, J. S., & Pachon, J. E. (2019, June). Análisis espacio temporal de concentraciones de material particulado en Bogotá: un año de operación de una red independiente. In Congreso Colombiano y Conferencia Internacional de Calidad del Aire y Salud Pública.[14] Luna, G., Andrés, M., Gonzalez, V., Mario, J., Muñoz, T., Ceron, B., & Carlos, L. (2019, August). Evaluación espacial y temporal de PM 10 y PM 2.5 en Colombiautilizando información satelital (CAMS, MODIS-AOD) y mediciones de calidad del aire en superficie. In 2019 Congreso Colombiano y Conferencia Internacional de Calidad de Aire y Salud Pública (CASP) (pp. 1-5). IEEE.[15] Espinosa, Mónica, and Juan F. Franco. "GESTIÓN DE LA CALIDAD DEL AIRE EN BOGOTÁ." 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