Asian Journal of Atmospheric Environment
Scope & Guideline
Advancing Knowledge for a Sustainable Atmosphere
Introduction
Aims and Scopes
- Air Quality Monitoring and Assessment:
The journal emphasizes studies that assess air quality through various monitoring techniques, including the measurement of particulate matter (PM), volatile organic compounds (VOCs), and other pollutants. This is crucial for understanding the health impacts and regulatory needs in urban and industrial areas. - Impact of Climate Change on Atmospheric Conditions:
Research that explores the effects of climate change on atmospheric phenomena, including temperature variations, precipitation patterns, and extreme weather events, is a core focus. This includes assessing how these changes affect air quality and public health. - Pollutant Source Identification and Apportionment:
A significant area of research involves identifying and apportioning sources of atmospheric pollutants using advanced statistical and modeling techniques. This helps in formulating effective environmental policies and interventions. - Health Risk Assessments Related to Air Pollution:
The journal publishes studies that evaluate the health risks associated with exposure to air pollutants. This includes research on specific pollutants like PM2.5 and their health effects on vulnerable populations. - Innovative Technological Applications:
There is a consistent focus on the development and application of new technologies for atmospheric monitoring and pollution control, including remote sensing, machine learning, and novel air quality sensors.
Trending and Emerging
- COVID-19 Related Air Quality Research:
A noticeable increase in studies examining the impact of the COVID-19 pandemic on air quality has emerged, particularly in relation to lockdown measures and their effects on pollutant levels across various regions. - Machine Learning and Data-Driven Approaches:
There is a growing trend towards utilizing machine learning and advanced statistical techniques for predicting air quality and analyzing environmental data. This reflects a shift toward more data-intensive methodologies that can handle complex atmospheric interactions. - Microplastics and Emerging Pollutants:
Research focusing on microplastics and other emerging pollutants is gaining traction, indicating a broader concern for new types of contaminants that affect both human health and environmental integrity. - Integrated Climate and Air Quality Assessments:
Studies that integrate climate change impacts with air quality assessments are on the rise, highlighting the interconnectedness of atmospheric phenomena and the need for comprehensive approaches to environmental management. - Public Health and Air Quality Nexus:
There is an increasing emphasis on the link between air quality and public health, with a focus on assessing health risks and developing interventions to protect vulnerable populations, which aligns with global health objectives.
Declining or Waning
- Traditional Industrial Pollution Studies:
Research focused solely on traditional industrial pollution sources, such as emissions from coal-fired power plants, is becoming less prominent as newer studies adopt more integrated approaches that consider multiple sources and impacts. - Static Air Quality Models:
The reliance on static or traditional air quality models is waning in favor of dynamic and machine learning-based predictive models. This shift reflects a growing recognition of the limitations of older methodologies in capturing complex atmospheric interactions. - Historical Emission Inventory Studies:
While still important, studies that primarily focus on historical emissions inventories without integrating them into current modeling or policy discussions are becoming less frequent, as researchers seek to connect past data with present and future implications.
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