AI Applications for Environmental Monitoring and Pollution Control
DOI:
https://doi.org/10.62486/978-9915-9851-0-7_202646Keywords:
Artificial Intelligence (AI), Environmental Monitoring, Pollution Control, Machine Learning, Sustainability systemsAbstract
The chapter discusses the growing role of Artificial Intelligence (AI) in environmental monitoring and pollution control, and specifically how it can be used in the gas, oil, and chemical industries. As the ecological threats in the world are becoming more complicated, i.e. climate change, dangerous emissions, the degradation of resources, etc., the manual sampling and the use of periodic inspection as conventional methods of monitoring is becoming less efficient. Artificial intelligence offers a radical innovation in environmental management by offering real-time and data-driven predictive decision-making by means of the fusion of satellite images data, IoT sensor data, drones, and industrial devices data. The machine learning and deep learning techniques enhance the detection of pollutants, prediction of emission trends, optimization of industrial processes, and regulatory compliance. Additional aspects of AI and IoT, edge computing, use of AI in policy and decision making, and moral, societal and technical concerns of environmental AI devices are also explored in the chapter. Finally, it points out to new trends, such as digital twins, federated learning, autonomous robots, and climate-conscious AI models. All this demonstrates that AI is becoming one of the facilitators of sustainable, smart, and resilient environmental management.
References
[1]Constantino, S. M., Sparkman, G., Kraft-Todd, G. T., Bicchieri, C., Centola, D., Shell-Duncan, B., ... & Weber, E. U. (2022). Scaling up change: A critical review and practical guide to harnessing social norms for climate action. Psychological science in the public interest, 23(2), 50-97.
[2] Voulvoulis, N., Giakoumis, T., Hunt, C., Kioupi, V., Petrou, N., Souliotis, I., & Vaghela, C. J. G. E. C. (2022). Systems thinking as a paradigm shift for sustainability transformation. Global Environmental Change, 75, 102544.
[3] Awewomom, J., Dzeble, F., Takyi, Y. D., Ashie, W. B., Ettey, E. N. Y. O., Afua, P. E., ... & Akoto, O. (2024). Addressing global environmental pollution using environmental control techniques: a focus on environmental policy and preventive environmental management. Discover Environment, 2(1), 8.
[4] Middleton, N. (2024). The global casino: an introduction to environmental issues. Routledge.
[5] Litvinenko, V., Bowbriсk, I., Naumov, I., & Zaitseva, Z. (2022). Global guidelines and requirements for professional competencies of natural resource extraction engineers: Implications for ESG principles and sustainable development goals. Journal of Cleaner Production, 338, 130530.
[6] Ansari, S. P. M., Odongo, J. O., Nomani, M. Z. M., Salahuddin, G., Hasan, M. F., & Pallathadka, L. K. (2022). Evaluating the role of the environment management system based on artificial intelligence. Materials Today: Proceedings, 56, 2240-2244.
[7] Martínez-García, A. N. (2022). Artificial Intelligence for Sustainable Complex Socio-Technical-Economic Ecosystems. Computation, 10(6), 95.
[8] Shehadeh, H. K. (2024). Evaluating the Impact of Transitioning Maintenance Strategy from Reactive to Proactive in Power Generation Companies: An Empirical Analysis. WSEAS Transactions on Business And Economics, 21, 820-838.
[9] Xing, S., & Wang, Y. (2025). Proactive data placement in heterogeneous storage systems via predictive multi-objective reinforcement learning. IEEE Access.
[10] Li, C., & Huang, M. (2023). Environmental sustainability in the age of big data: opportunities and challenges for business and industry. Environmental Science and Pollution Research, 30(56), 119001-119015.
[11] Thanasas, G. L., Kampiotis, G., & Karkantzou, A. (2025). Enhancing transparency and efficiency in auditing and regulatory compliance with disruptive technologies. Theoretical Economics Letters, 15(1), 214-233.
[12] Himeur, Y., Rimal, B., Tiwary, A., & Amira, A. (2022). Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives. Information Fusion, 86, 44-75.
[13] Butt, M. A., Voronkov, G. S., Grakhova, E. P., Kutluyarov, R. V., Kazanskiy, N. L., & Khonina, S. N. (2022). Environmental monitoring: A comprehensive review on optical waveguide and fiber-based sensors. Biosensors, 12(11), 1038.
[14] Sharma, R., & Arya, R. (2022). UAV based long range environment monitoring system with Industry 5.0 perspectives for smart city infrastructure. Computers & Industrial Engineering, 168, 108066.
[15] Mohammed, S. Y., Jumaah, N. S., Abbas , E., Ali, H. M., & Aljanabi, M. (2024). Healthcare Intelligence and Decision Making: Big Data's Role in Predictive Analytics for Clinical Decision-Making . Mesopotamian Journal of Big Data, 2024, 223-229. https://doi.org/10.58496/MJBD/2024/016
[16] Mohammed, N. S. Y. (2023b). Enhancing COVID-19 Patients Detection using Deep Transfer Learning Technique Through X‑Ray Chest Images. Journal of Advanced Research in Applied Sciences and Engineering Technology, 32(1), 290–302. https://doi.org/10.37934/araset.32.1.290302.
[17] Popescu, S. M., Mansoor, S., Wani, O. A., Kumar, S. S., Sharma, V., Sharma, A., ... & Chung, Y. S. (2024). Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management. Frontiers in Environmental Science, 12, 1336088.
[18] Santos, M. R., & Carvalho, L. C. (2025). AI-driven participatory environmental management: Innovations, applications, and future prospects. Journal of Environmental Management, 373, 123864.
[19] Kelly, B. O., Chen, S., Zhou, E. P., & Elshakankiri, M. (2023, October). AI-Enabled Plastic Pollution Monitoring System for Toronto Waterways. In 2023 10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 53-58). IEEE.
[20] Singh, S., & Singh, M. (2025). Role of Artificial Intelligence for Environment Protection: An Analysis. Artificial Intelligence and Law, 165-175.
[21] Khalid, J., Chuanmin, M., Altaf, F., Shafqat, M. M., Khan, S. K., & Ashraf, M. U. (2024). AI-driven risk management and sustainable decision-making: Role of perceived environmental responsibility. Sustainability, 16(16), 6799.
[22] Chavhan, S., Gupta, D., Gochhayat, S. P., N, C. B., Khanna, A., Shankar, K., & Rodrigues, J. J. (2022). Edge computing AI-IoT integrated energy-efficient intelligent transportation system for smart cities. ACM transactions on internet technology, 22(4), 1-18.
[23] Rupanetti, D., & Kaabouch, N. (2024). Combining edge computing-assisted internet of things security with artificial intelligence: Applications, challenges, and opportunities. Applied Sciences, 14(16), 7104.
[24] Soundariya, A., Behera, N. K., Selvakumar, P., Chandel, P. S., Gupta, S., & Manjunath, T. C. (2025). AI and Environmental Ethics: The Role of AI in Addressing Climate Change Ethical Considerations in AI-Driven Environmental Solutions. In Human Values, Ethics, and Dignity in the Age of Artificial Intelligence (pp. 321-346). IGI Global Scientific Publishing.
[25] Santos, M. R., & Carvalho, L. C. (2025). AI-driven participatory environmental management: Innovations, applications, and future prospects. Journal of Environmental Management, 373, 123864.
[26] Hoang, T. D., Ky, N. M., Thuong, N. T. N., Nhan, H. Q., & Ngan, N. V. C. (2022). Artificial intelligence in pollution control and management: Status and future prospects. Artificial Intelligence and Environmental Sustainability: Challenges and Solutions in the Era of Industry 4.0, 23-43.
[27] Leena Sri, R., Vetriveeran, D., Sambandam, R. K., Jenefa, J., & Thangavel, K. (2025). Transformative Trends in AI for Environmental Monitoring: Challenges, Applications. Environmental Monitoring Using Artificial Intelligence, 1-28.
[28] Alotaibi, E., & Nassif, N. (2024). Artificial intelligence in environmental monitoring: in-depth analysis. Discover Artificial Intelligence, 4(1), 84.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Sahar Yousif Mohamme, Hadeel M Saleh, Maad Mijwil, Mostafa Abotaleb (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
