International Journal of Environmental Noise and Pollution Control

ijenpc | Peer-Reviewed | Online

About the Journal

International Journal of Environmental Noise and Pollution Control is a peer-reviewed Online journal launched in 2023 that provides swift, concrete information on advancements in pollution control across multidisciplinary fields. Editors recommend high-quality, original, comprehensive research papers focusing on innovative applications and solutions. The journal encourages review articles that comprehensively cover aspects of environmental noise and pollution control, offering immediate impact on ongoing research.

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International Journal of Environmental Noise and Pollution Control (IJENPC) is a peer-reviewed hybrid open-access journal launched in 2023 that intends to provide its readers 

Journal Information

Title:
International Journal of Environmental Noise and Pollution Control
Abbreviation:
IJENPC
Issues Per Year:
2 Issues (Jan-June),(July-Dec)
Publisher:
116314
DOI:
10.37591/IJENPC
Starting Year:
2023
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

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ijenpc maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Prof. Sohail Ayub, Professor

Aligarh Muslim University, Uttar Pradesh, India,

Email :

Latest Articles

Maternal and Infant Pollutant Exposure through Breastfeeding in Industrial Punjab

Because of their lasting presence, bioaccumulation in the food chain and/or potential for transferring to infants through breastfeeding, environmentally persistent chemical pollutants, such as per- and polyfluoroalkyl compounds (PFAs), pesticides, heavy metals and industrial emissions, represent significant public health threats.

PFAS, environmental pollutants, breastfeeding, maternal exposure, infant health, Punjab.

Role of AI in waste reduction and energy efficiency

Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization.

Artificial Intelligence, waste reduction, energy efficiency, sustainable business, smart systems, resource optimization.

Air Quality monitoring system

Air pollution has emerged as one of the most serious environmental challenges of the modern era, posing significant threats to human health, ecological balance, and overall quality of life.

Air quality monitoring, Internet of Things (IoT), Gas sensors, Particulate matter (PM2.5, PM10), Real-time data acquisition, Cloud computing, Air quality index (AQI).

IoT-Based Smart Waste Tracking & System for Monitoring

In an era of rapid urban growth—driven by continued population growth and greater waste dispersion due to unregulated disposal practices by all citizens—a major challenge is emerging in the effective management of solid waste in urban environments.

Smart Waste Management, RFID, Internet of Things (IoT), Waste Segregation, Embedded Systems, Smart Cities, Data Monitoring, Incentive Mechanism.

Intelligent Earth: AI As A Catalyst For Climate Action

Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets.

Artificial Intelligence (AI), Environmental Monitoring, Machine Learning, Deep Learning, Remote Sensing

Recent Trends in Heavy Metal Pollution of Groundwater: A Review

Heavy metal pollution in groundwater has emerged as a major environmental and public health concern worldwide due to its persistence, toxicity, and potential for bioaccumulation.

Groundwater contamination, Heavy metals, Human health risk, Monitoring techniques, Remediation strategies

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