Vol. 13 No. 1 (2024): Revista de Investigaciones
Artí­culos Originales

Visual pollution in Juliaca: automated detection and public perception, 2023

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  • Walter Hugo Lipa Condori
Walter Hugo Lipa Condori
Doctorado en Ciencias e Ingeniería civil Ambiental, Universidad Andina Néstor Cáceres Velásquez, Puno, Perú
Tapa Revista de Investigaciones

Published 2024-03-31

Keywords

  • automated detection,
  • Juliaca,
  • perception,
  • visual contamination

Copyright (c) 2024 Walter Hugo Lipa Condori

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Lipa Condori, Walter Hugo. 2024. “Visual Pollution in Juliaca: Automated Detection and Public Perception, 2023”. Revista De Investigaciones 13 (1): 5-12. https://doi.org/10.26788/ri.v13i1.5788.

Abstract

In the region of Puno, Peru, visual pollution is becoming an increasingly pressing issue, adversely affecting urban aesthetics and the well-being of residents. Consequently, the challenge arises of effectively identifying and addressing this form of pollution. The study sets out to develop a scientifically-grounded approach for the automated detection of visual pollution and to comprehend its ramifications on the health and general welfare of the local populace. To achieve this objective, a comprehensive survey was undertaken among residents of Puno to gauge their perception of and the consequential effects stemming from visual pollution. Subsequent to this, an artificial vision model was devised employing data derived from images capturing the prevalent visual pollutants found on the streets of Puno. This model facilitated the automated identification and quantification of pollutants. The findings illuminated a widespread prevalence of visual pollutants, significantly correlating with health and well-being concerns among residents. In summary, the study furnishes a robust scientific basis for tackling visual pollution in Puno, underscoring the imperative for interventions aimed at enhancing quality of life and conserving urban aesthetics. Thus, a holistic strategy is advocated, amalgamating sophisticated detection methodologies with an understanding of health impacts, with the aim of mitigating the adverse effects of visual pollution within the región.

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References

  1. AlElaiwi, M., Al-antari, M. A., Ahmad, H. F., Azhar, A., Almarri, B., & Hussain, J. 2023. Visual pollution real images benchmark dataset on the public roads. Data in Brief, 50. https://doi.org/10.1016/j.dib.2023.109491
  2. Ayala Rodríguez, J. J., & Aparicio Meza, M. J. 2020. Cartelería publicitaria en Asunción y sus implicaciones en la salud pública de la población expuesta. Revista Científica Internacional, VII(2).
  3. Carrasco-Jocope, R. R., Vigil-Requena, S. V., Valiente-Saldaña, Y. M., & González-González, D. G. 2023. Contaminación urbano ambiental y espacio público del centro de Piura, Perú: Revisión sistemática. Revista Arbitrada Interdisciplinaria Koinonía, 8(16), 171–183. https://doi.org/10.35381/r.k.v8i16.2542
  4. Choque Chambilla, J. A. 2023. Factores de riesgo de la contaminación visual y sus efectos en la avenida simón bolívar de la ciudad de Puno 2022.
  5. Cohen, D. A., & Babey, S. H. 2012. Contextual influences on eating behaviours: Heuristic processing and dietary choices. Obesity Reviews, 13(9), 766–779. https://doi.org/10.1111/j.1467-789X.2012.01001.x
  6. Frederickson, L. B., Russell, H. S., Raasch, S., Zhang, Z., Schmidt, J. A., Johnson, M. S., & Hertel, O. 2024. Urban vertical air pollution gradient and dynamics investigated with low-cost sensors and large-eddy simulations. Atmospheric Environment, 316. https://doi.org/10.1016/j.atmosenv.2023.120162
  7. Hackley, C. 2002. The Panoptic Role of Advertising Agencies in the Production of Consumer Culture. Consumption Markets & Culture, 5(3), 211–229. https://doi.org/10.1080/10253860290031640
  8. Kibert, C. J., Thiele, L., Peterson, A., & Monroe, M. 2005. The Ethics of Sustainability.
  9. Lahura Albujar, N. E., Borda, B. E., & Iannacone, J. 2021. Percepción sobre la contaminación ambiental producida por publicidad objetiva en el Perú. Cátedra Villarreal, 8(2), 136–146. https://doi.org/10.24039/cv202082963
  10. Lam Romero, M. P. 2020. Relación de la contaminación visual y la salud de la población de la Av. Tupac Amaru, distrito Independencia, 2019.
  11. Madlenak, R., Berthoty, M., Chinoracky, R., & Stalmasekova, N. 2023. Outdoor advertising and visual pollution on selected roads in the city of Žilina. Transportation Research Procedia, 74, 101–108. https://doi.org/10.1016/j.trpro.2023.11.118
  12. Mateo, J., Toro, B., Lucia, N., & Tunjo, D. 2017. Protocolo para la identificación de zonas afectadas por elementos atípicos asociados a la contaminación visual en la ciudad de Bogotá. https://ciencia.lasalle.edu.co/ing_ambiental_sanitariahttps://ciencia.lasalle.edu.co/ing_ambiental_sanitaria/381
  13. Murillo Céspedes, G. 2018. Efectos de la contaminación visual urbana en la percepción de la población de las ciudades de Puno y Juliaca.
  14. Ordóñez-Iriarte, J. M. 2020. Mental health and environmental health. A prospective view. SESPAS Report 2020. In Gaceta Sanitaria (Vol. 34, pp. 68–75). Ediciones Doyma, S.L. https://doi.org/10.1016/j.gaceta.2020.05.007
  15. Ostos Prieto, F. J. 2020. Ciclo de mejora docente en Patrimonio Urbano y Planeamiento. Contaminación visual y perceptiva en el entorno de protección de los Bienes de Interés Cultural.
  16. Popkin, B. M., Barquera, S., Corvalan, C., Hofman, K. J., Monteiro, C., Ng, S. W., Swart, E. C., & Taillie, L. S. 2021. Towards unified and impactful policies to reduce ultra-processed food consumption and promote healthier eating. In The Lancet Diabetes and Endocrinology (Vol. 9, Issue 7, pp. 462–470). Lancet Publishing Group. https://doi.org/10.1016/S2213-8587(21)00078-4
  17. Quintero Ruano, S., & Natalia Jiménez Ausaque, G. 2017. Diagnóstico de los elementos atípicos asociados a la contaminación visual presentes en la zona urbana de Funza y los identificados en el sector Quirigua de Bogotá. https://ciencia.lasalle.edu.co/ing_ambiental_sanitaria/482
  18. Ruhiiga, T. M. 2013. Managing Explosive Urbanisation in Africa. Journal of Human Ecology, 42(1), 43–52. https://doi.org/10.1080/09709274.2013.11906580
  19. Sánchez Álvarez, M. del C. 2019. Paisaje Urbano y Contaminación Visual: A Propósito del Centro Histórico y Turístico de Córdoba (España).
  20. Tobías Garcés, A., Sunyer Deu, J., Castellsagué Piqué, J., Saéz Zafra, M., & Antó Boqué, J. M. 1998. Impacto de la contaminación atmosférica sobre la mortalidad y las urgencias por enfermedad pulmonar obstructiva crónica y asma en Barcelona. Gaceta Sanitaria, 12(5), 223–230.
  21. Unuvar, S., Sari Yildirim, S., & Ahmed, Y. 2021. Visual pollution´s effect on distorting the touristic and historical cities: old Sanaá/Yemen Case. International Jorunal of Tourism and Social Research, 7, 1–17.
  22. Vargas Marcos, F. 2005. La contaminación ambiental como factor determinante de la salud. Rev. Esp. Salud Pública, 79(2), 117–127.
  23. Ye, Y., Tong, C., Dong, B., Huang, C., Bao, H., & Deng, J. 2024. Alleviate light pollution by recognizing urban night-time light control area based on computer vision techniques and remote sensing imagery. Ecological Indicators, 158. https://doi.org/10.1016/j.ecolind.2024.111591