Aplicación de las Aeronaves no Tripuladas (U.A.S.) para el Monitoreo de Contaminantes en Cuerpos de Agua
| dc.contributor.advisor | Camilo, Rojas | |
| dc.contributor.author | Rincón Salcedo, Cristian Danilo | |
| dc.contributor.author | Moyano Martínez, Johan Anderson | |
| dc.contributor.corporatename | Universidad Santo Tomás | |
| dc.date.accessioned | 2025-07-28T20:32:44Z | |
| dc.date.available | 2025-07-28T20:32:44Z | |
| dc.date.issued | 2025-07-22 | |
| dc.description | Este trabajo reúne y analiza diferentes estudios recientes sobre cómo se están utilizando drones para vigilar la calidad del agua en ríos, lagos y otros cuerpos hídricos. A partir de una revisión detallada de investigaciones, se identifican los tipos de sensores más usados, como los ópticos, multiespectrales y térmicos, y se explica qué contaminantes pueden detectarse con ellos, desde partículas en suspensión hasta metales pesados. También se presentan ejemplos concretos de cómo se ha aplicado esta tecnología en distintos países, mostrando que los drones pueden ser una herramienta muy útil, sobre todo en zonas de difícil acceso. Al final, se destaca que los sistemas que combinan sensores con mecanismos de recolección de muestras son los más eficaces. El artículo propone fortalecer el uso de estas tecnologías en contextos locales, como Colombia, donde podrían contribuir a mejorar el monitoreo ambiental y la gestión del agua. | |
| dc.description.abstract | This article compiles and analyzes various recent studies on how drones are being used to monitor water quality in rivers, lakes, and other bodies of water. Based on a detailed review of research, it identifies the most commonly used types of sensors, such as optical, multispectral, and thermal sensors, and explains what pollutants they can detect, from particulate matter to heavy metals. It also presents specific examples of how this technology has been applied in different countries, demonstrating that drones can be a very useful tool, especially in hard-to-reach areas. Finally, it highlights that systems that combine sensors with sample collection mechanisms are the most effective. The article proposes strengthening the use of these technologies in local contexts, such as Colombia, where they could contribute to improving environmental monitoring and water management. Keywords: Drones, water pollution, UAV, remote sensing, pollution, environmental monitoring. | |
| dc.description.degreelevel | Pregrado | spa |
| dc.description.degreename | Ingeniero Ambiental | spa |
| dc.description.domain | http://unidadinvestigacion.usta.edu.co | |
| dc.format.mimetype | text/html | |
| dc.identifier.citation | Rincón Salcedo, C. R. y Moyano Martínez, J. A. (2025). Aplicación de las Aeronaves no Tripuladas (U.A.S.) para el Monitoreo de Contaminantes en Cuerpos de Agua. [Trabajo de grado, Universidad Santo tomás]. Repositorio Institucional. | |
| dc.identifier.instname | instname:Universidad Santo Tomás | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad Santo Tomás | spa |
| dc.identifier.repourl | repourl:https://repository.usta.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/11634/68778 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Santo Tomás | spa |
| dc.publisher.branch | CRAI-USTA Bogotá | |
| dc.publisher.faculty | Facultad de Ingeniería Ambiental | spa |
| dc.publisher.program | Pregrado de Ingeniería Ambiental | spa |
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| dc.relation.references | Ren, H., Zhao, Y., Xiao, W., & Hu, Z. (2019). A review of UAV monitoring in mining areas: current status and future perspectives. International Journal of Coal Science & Technology, 6(3), 320–333. | |
| dc.relation.references | Singh, R., & Kumar, S. (2024). A comprehensive insight into drones: History, classification, architecture, navigation, applications, challenges, and future trends. Bharat Electronics Limited. | |
| dc.relation.references | Liu, X., Wang, Y., Chen, T., Gu, X., Zhang, L., Li, X., Tang, R., He, Y., Chen, G., & Zhang, B. (2024). Monitoring water quality parameters of freshwater aquaculture ponds using UAV based multispectral images. Ecological Indicators, 167, 112644. | |
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| dc.relation.references | Liu, X., Wang, Y., Chen, T., Gu, X., Zhang, L., Li, X., ... & Zhang, B. (2024). Monitoring water quality parameters of freshwater aquaculture ponds using UAV-based multispectral images. Ecological Indicators, 167, 112644. | |
| dc.rights | Attribution-NonCommercial-NoDerivs 2.5 Colombia | en |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
| dc.subject.keyword | U.A.S. | |
| dc.subject.keyword | Drone | |
| dc.subject.keyword | Unmanned aircraft | |
| dc.subject.keyword | Pollution of water bodies | |
| dc.subject.lemb | Ingeniería ambiental | |
| dc.subject.lemb | Contaminación del agua | |
| dc.subject.lemb | Drones (Aviones no tripulados) | |
| dc.subject.proposal | Contaminacion de cuerpos hidricos | |
| dc.subject.proposal | Drones | |
| dc.subject.proposal | Naves no tripuladas | |
| dc.subject.proposal | U.A.S. | |
| dc.title | Aplicación de las Aeronaves no Tripuladas (U.A.S.) para el Monitoreo de Contaminantes en Cuerpos de Agua | |
| dc.type | bachelor thesis | |
| dc.type.category | Formación de Recurso Humano para la Ctel: Trabajo de grado de Pregrado | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.drive | info:eu-repo/semantics/bachelorThesis | |
| dc.type.local | Trabajo de Grado | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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