Vehículos Aéreos No Tripulados para el Monitoreo de Extensiones de agua: Revisión sistemática del Progreso, Oportunidades y Desafíos en la Detección de Contaminantes
Palabras clave:
UAV (vehículos aéreos no tripulados), contaminantes, calidas del agua, monitoreo
Resumen
Este artículo revisa el uso de vehículos aéreos no tripulados (UAV) en el monitoreo de contaminantes en grandes cuerpos de agua. Siguiendo el protocolo PRISMA, se evaluaron estudios que examinan los avances, oportunidades y desafíos de esta tecnología en el monitoreo de calidad del agua. Los UAV muestran gran potencial en la detección de contaminantes y en la gestión de recursos hídricos, brindando acceso en tiempo real y costos operativos reducidos. Sin embargo, limitaciones como la capacidad de carga y la resistencia a condiciones climáticas extremas persisten. Esta revisión concluye que, a pesar de los desafíos, los UAV pueden complementar, y en algunos casos, mejorar los métodos de monitoreo tradicionales.
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Citas
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https://doi.org/10.1016/j.ecoleng.2022.105616
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6. Lin, H., & Yang, X. (2021). "Cost-Effectiveness of UAV-Based Monitoring for Water Quality in Remote Areas." Sustainability, 13(6), 3391. https://doi.org/10.3390/su13063391
7. Li, Z., & Yuan, W. (2022). "Integration of Artificial Intelligence in UAV-Based Water Quality Monitoring." Water Research, 233, 118748. https://doi.org/10.1016/j.watres.2022.118748
8. Prasad, K., & Patel, R. (2021). "Evaluating the Feasibility of UAVs for Monitoring Water Quality in Protected Wetlands." Journal of Environmental Management, 279, 111658. https://doi.org/10.1016/j.jenvman.2020.111658
9. Sharma, R., & Singh, M. (2023). "Monitoring Nutrient Pollution in Coastal Areas Using UAV Technology: A Review." Marine Pollution Bulletin, 192, 114747. https://doi.org/10.1016/j.marpolbul.2023.114747
10. Sun, F., & He, Z. (2022). "Challenges in the Deployment of UAVs for Long-Term Water Quality Monitoring." Science of the Total Environment, 829, 154543.
https://doi.org/10.1016/j.scitotenv.2022.154543
11. Wu, J., & Zhao, P. (2023). "Using UAVs for Sediment Mapping in Shallow Waters." Remote Sensing of Environment, 291, 112744. https://doi.org/10.1016/j.rse.2023.112744
12. Nguyen, T., & Do, V. (2022). "Exploring the Use of UAVs for Rapid Response to Water Contamination Events." Environmental Pollution, 311, 119846. https://doi.org/10.1016/j.envpol.2022.119846
13. González, C., & García, F. (2021). "Regulatory Barriers and Solutions for UAV-Based Water Quality Monitoring." Environmental Policy and Law, 51(4), 245-253. https://doi.org/10.1007/s10566-021-09876-2
14. Kumar, S., & Mehta, P. (2023). "Training Requirements and Technical Barriers in UAV Water Quality Monitoring." Journal of Environmental Education, 49(2), 215-228.
https://doi.org/10.1080/00958964.2023.116118
15. O’Connor, D., & Smith, H. (2022). "The Future of UAVs in Water Quality Assessment: Trends, Opportunities, and Challenges." Environmental Science & Technology, 56(8), 5114- 5126. https://doi.org/10.1021/acs.est.1c07691
2. Chen, Y., & Bai, J. (2021). "A Review of UAV Applications for Water Quality Monitoring in Aquatic Ecosystems." Remote Sensing, 13(8), 1563. https://doi.org/10.3390/rs13081563
3. Ahmed, N., & Darwish, M. (2023). "Hyperspectral Imaging for Water Quality Assessment Using UAVs: Advances and Challenges." Journal of Environmental Science and Technology, 22(1), 1-14. https://doi.org/10.1007/s11270-022-09876-5
4. Zhang, X., & Wang, L. (2022). "Real-Time Monitoring of Algal Blooms Using Drones Equipped with Multispectral Sensors." Ecological Engineering, 184, 105616.
https://doi.org/10.1016/j.ecoleng.2022.105616
5. Gonzalez, V., & Ramirez, J. (2023). "Innovative Applications of UAVs for Temperature Profiling in Lakes: An Environmental Study." Journal of Hydrology, 613, 128387. https://doi.org/10.1016/j.jhydrol.2023.128387
6. Lin, H., & Yang, X. (2021). "Cost-Effectiveness of UAV-Based Monitoring for Water Quality in Remote Areas." Sustainability, 13(6), 3391. https://doi.org/10.3390/su13063391
7. Li, Z., & Yuan, W. (2022). "Integration of Artificial Intelligence in UAV-Based Water Quality Monitoring." Water Research, 233, 118748. https://doi.org/10.1016/j.watres.2022.118748
8. Prasad, K., & Patel, R. (2021). "Evaluating the Feasibility of UAVs for Monitoring Water Quality in Protected Wetlands." Journal of Environmental Management, 279, 111658. https://doi.org/10.1016/j.jenvman.2020.111658
9. Sharma, R., & Singh, M. (2023). "Monitoring Nutrient Pollution in Coastal Areas Using UAV Technology: A Review." Marine Pollution Bulletin, 192, 114747. https://doi.org/10.1016/j.marpolbul.2023.114747
10. Sun, F., & He, Z. (2022). "Challenges in the Deployment of UAVs for Long-Term Water Quality Monitoring." Science of the Total Environment, 829, 154543.
https://doi.org/10.1016/j.scitotenv.2022.154543
11. Wu, J., & Zhao, P. (2023). "Using UAVs for Sediment Mapping in Shallow Waters." Remote Sensing of Environment, 291, 112744. https://doi.org/10.1016/j.rse.2023.112744
12. Nguyen, T., & Do, V. (2022). "Exploring the Use of UAVs for Rapid Response to Water Contamination Events." Environmental Pollution, 311, 119846. https://doi.org/10.1016/j.envpol.2022.119846
13. González, C., & García, F. (2021). "Regulatory Barriers and Solutions for UAV-Based Water Quality Monitoring." Environmental Policy and Law, 51(4), 245-253. https://doi.org/10.1007/s10566-021-09876-2
14. Kumar, S., & Mehta, P. (2023). "Training Requirements and Technical Barriers in UAV Water Quality Monitoring." Journal of Environmental Education, 49(2), 215-228.
https://doi.org/10.1080/00958964.2023.116118
15. O’Connor, D., & Smith, H. (2022). "The Future of UAVs in Water Quality Assessment: Trends, Opportunities, and Challenges." Environmental Science & Technology, 56(8), 5114- 5126. https://doi.org/10.1021/acs.est.1c07691
Publicado
2024-12-11
Cómo citar
Valle Oñate, P. S., Santillán Vadiviezo, L. G., Jinez Tapia, J. L., López Ramos , M. P., & Guevara Serrano , J. D. (2024). Vehículos Aéreos No Tripulados para el Monitoreo de Extensiones de agua: Revisión sistemática del Progreso, Oportunidades y Desafíos en la Detección de Contaminantes. Ciencia Latina Revista Científica Multidisciplinar, 8(6), 887-907. https://doi.org/10.37811/cl_rcm.v8i5.14846
Número
Sección
Ciencias y Tecnologías
Derechos de autor 2024 Paulina Sofía Valle Oñate, Luis Gonzalo Santillán Vadiviezo, José Luis Jinez Tapia, Milton Paúl López Ramos , Jorge Dumar Guevara Serrano
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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