Manuscript Number : GISRRJ236813

Model-Driven Emission Mitigation via Continuous Monitoring in Industrial Scenarios

Authors(3) :-Semiu Temidayo Fasasi, Oluwapelumi Joseph Adebowale, Zamathula Queen Sikhakhane Nwokediegwu

Industrial emissions present a critical challenge to environmental sustainability and regulatory compliance. This paper proposes a comprehensive model-driven framework for emission mitigation that integrates continuous monitoring with advanced theoretical modeling and decision-making strategies. Grounded in control theory, the framework employs feedback loops and optimization techniques to regulate emissions in real time dynamically. It formalizes emission process modeling to capture source behaviors and pollutant dispersion, enabling precise detection and prediction of emission events. Design principles for continuous monitoring systems focus on sensor network configuration, data fidelity, and robust data processing to ensure high-quality, actionable inputs. The decision framework leverages sophisticated detection and classification algorithms alongside predictive models to trigger timely, targeted mitigation interventions. Adaptive control mechanisms refine system performance through ongoing feedback and learning, enhancing mitigation precision and resilience. This integrated approach facilitates proactive environmental management, reduces operational risks, and supports compliance with evolving regulations. The paper discusses the practical implications for industrial practices and outlines future directions involving AI integration and system robustness. Collectively, this work advances the theoretical and applied understanding of intelligent emission mitigation in industrial scenarios.

Authors and Affiliations

Semiu Temidayo Fasasi
Colorado State University, USA
Oluwapelumi Joseph Adebowale
Independent Researcher, USA
Zamathula Queen Sikhakhane Nwokediegwu
Independent Researcher, Durban, South Africa

Emission Mitigation, Continuous Monitoring, Control Theory, Predictive Modeling, Sensor Networks, Adaptive Control

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Publication Details

Published in : Volume 6 | Issue 2 | March-April 2023
Date of Publication : 2023-04-05
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 250-261
Manuscript Number : GISRRJ236813
Publisher : Technoscience Academy

ISSN : 2582-0095

Cite This Article :

Semiu Temidayo Fasasi, Oluwapelumi Joseph Adebowale, Zamathula Queen Sikhakhane Nwokediegwu, "Model-Driven Emission Mitigation via Continuous Monitoring in Industrial Scenarios", Gyanshauryam, International Scientific Refereed Research Journal (GISRRJ), ISSN : 2582-0095, Volume 6, Issue 2, pp.250-261, March-April.2023
URL : https://gisrrj.com/GISRRJ236813

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