Special Issue
Artificial Intelligence and Advanced Technologies in Environmental Monitoring and Pollution Control
Nature Environment and Pollution Technology (NEPT) invites high-quality submissions for the Current Special Issue on Artificial Intelligence and Advanced Technologies in Environmental Monitoring and Pollution Control. This Special Issue aims to bring together original research, review articles, and case studies focusing on the role of artificial intelligence, machine learning, smart sensing systems, remote sensing, geospatial tools, automation, and other advanced technologies in addressing environmental monitoring and pollution control challenges.
The issue seeks to highlight innovative and interdisciplinary contributions that support environmental assessment, pollution prediction, control technologies, sustainability analysis, and decision-making for environmental management.
Guest Editors
- Dr. Chi-Wei Su, School of Economics, Qingdao University, China
- Dr. Maria Alzira Pimenta Dinis , (1) Fernando Pessoa Research, Innovation and Development Institute (FP-I3ID), University Fernando Pessoa (UFP), Portugal; (2) Marine and Environmental Sciences Centre (MARE)/ARNET - Aquatic Research Network, University of Coimbra, Portugal
- Mr. Aneesh A. Chand, The University of the South Pacific, Suva, Fiji
- Dr. Alessandro Tufano, Department of Industrial Engineering, University of Bologna, Forlì, Italy
Special Issue Coordinator
- Apurva Goel, Associate Editor, Nature Environment and Pollution Technology
Special Issue Information
Environmental systems are increasingly being monitored and managed using intelligent digital tools. Artificial intelligence, machine learning, deep learning, remote sensing, GIS, IoT, smart sensors, automation, robotics, and big data analytics are transforming the way pollution is detected, assessed, predicted, and controlled. This Special Issue focuses on the application of such advanced technologies to air, water, soil, waste, climate, and ecosystem-related environmental problems.
Authors are invited to submit manuscripts that offer methodological innovation, practical applications, modelling approaches, decision-support frameworks, or policy-relevant analysis in the broad field of environmental monitoring and pollution control.
Aim and Scope
This Special Issue welcomes papers that examine how artificial intelligence and emerging technologies can improve environmental surveillance, pollution assessment, treatment efficiency, resource optimization, risk forecasting, and sustainability planning. Contributions may be theoretical, methodological, empirical, or application-oriented.
Suggested Themes / Topics
- Artificial intelligence and machine learning in environmental science
- Advanced technologies in air, water, and soil pollution monitoring
- Use of AI in Remote sensing and GIS applications in environmental assessment
- IoT, sensor networks, and real-time environmental monitoring systems
- Deep learning for pollution forecasting and early warning systems
- Smart and automated systems for wastewater, air, and solid waste management
- Big data analytics for environmental decision support
- Digital twins, simulation, and predictive environmental modelling
- Automation and robotics in pollution control operations
- Climate, ecosystem, and sustainability monitoring using AI
- AI-supported circular economy and resource recovery systems
- Technology-enabled environmental risk assessment and management
Keywords
Artificial intelligence; Machine learning; Environmental monitoring; Pollution control; Remote sensing; GIS; IoT; Smart sensors; Deep learning; Big data analytics; Digital twins; Sustainability; Environmental modelling; Automation; Robotics
Important Dates
- Submission Opens: March 2026
- Submission Deadline: August 2026
- Final Acceptance Deadline: October 2026
- Tentative Publication: December 2026
Author Benefits
- All articles are published under a full open-access model, ensuring that research is freely accessible to readers worldwide immediately after publication. Authors retain broad dissemination rights while Article Processing Charges (APC) apply after acceptance.
- Editorial guidance from internationally recognized Guest Editors
- Articles published in NEPT are indexed and abstracted in several recognized databases including Scopus (Q3), DOAJ, AGRIS, Chemical Abstracts (CAS), ProQuest, EBSCO, Ulrich’s, and other scholarly indexing services, improving global visibility and discoverability of published work.
- Peer-reviewed publication in Nature Environment and Pollution Technology
- The journal has more than three decades of publishing history, originating in 1994 and continuing as Nature Environment and Pollution Technology since 2002, providing an established platform for environmental research dissemination.
- With an international editorial board and worldwide readership, the journal offers strong exposure to researchers, practitioners, and policy communities working in environmental science and sustainability.
Submission Information
Authors should prepare their manuscripts according to the journal guidelines and submit through the NEPT online submission system. During submission, authors should clearly mention that the manuscript is intended for the Special Issue: Artificial Intelligence and Advanced Technologies in Environmental Monitoring and Pollution Control.
All submissions will undergo the journal’s standard editorial screening and peer review process. Acceptance of papers will be based on quality, originality, relevance to the theme, and reviewer recommendations.
How to Submit
Submit your manuscript through the journal submission system: Submit paper
For manuscript preparation instructions, please refer to the journal’s author guidelines available on the website: Author Instructions.
Contact Information
For queries regarding this Special Issue, please contact: operations@neptjournal.com