Journal of Environmental Informatics

Scope & Guideline

Exploring the synergy between data and environmental science.

Introduction

Immerse yourself in the scholarly insights of Journal of Environmental Informatics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN1726-2135
PublisherINT SOC ENVIRON INFORM SCI
Support Open AccessNo
CountryCanada
TypeJournal
Convergefrom 2007 to 2024
AbbreviationJ ENVIRON INFORM / J. Environ. Inform.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address4246 ALBERT ST, REGINA, SASKATCHEWAN S4S 3R9, CANADA

Aims and Scopes

The Journal of Environmental Informatics focuses on the intersection of environmental science and data analysis, employing advanced computational methods to address pressing environmental challenges. Its aim is to foster innovative research that enhances our understanding of environmental systems through the integration of data-driven approaches and informatics.
  1. Environmental Modeling and Simulation:
    Utilizes quantitative models and simulations to predict environmental phenomena, assess risks, and evaluate management strategies across various ecosystems.
  2. Data Analysis and Machine Learning:
    Applies machine learning techniques to analyze environmental data, improve prediction accuracy, and derive insights from complex datasets.
  3. Water Resource Management:
    Focuses on optimizing water resource allocation, assessing water quality, and developing sustainable management practices in response to climate change and human activities.
  4. Pollution Assessment and Remediation:
    Investigates pollution sources, assesses ecological risks, and explores innovative methods for pollutant removal and environmental restoration.
  5. Climate Change Impacts:
    Studies the effects of climate change on ecosystems, biodiversity, and human health, with an emphasis on adaptation and mitigation strategies.
  6. Sustainable Practices and Renewable Energy:
    Explores the integration of renewable energy sources and sustainable practices in environmental management to reduce carbon footprints and enhance ecosystem resilience.
Recent publications in the Journal of Environmental Informatics highlight several emerging themes that reflect the journal's responsiveness to global environmental challenges and technological advancements.
  1. Artificial Intelligence in Environmental Science:
    The application of AI and machine learning techniques is rapidly increasing, showcasing their potential to enhance predictive modeling, optimize resource management, and improve decision-making processes in environmental contexts.
  2. Climate Resilience and Adaptation Strategies:
    A growing body of research is dedicated to developing climate resilience strategies, focusing on how ecosystems and communities can adapt to changing climatic conditions and mitigate adverse impacts.
  3. Integrated Water Resource Management:
    There is an increasing emphasis on holistic approaches to water resource management that consider ecological, economic, and social dimensions, promoting sustainability and resilience.
  4. Real-Time Environmental Monitoring:
    The trend towards real-time monitoring using IoT and sensor technologies is emerging, allowing for immediate responses to environmental changes and enhancing data-driven decision-making.
  5. Sustainable Urban Development:
    Research focusing on sustainable practices in urban environments is gaining traction, addressing the complexities of urbanization, pollution, and resource management in densely populated areas.

Declining or Waning

As the Journal of Environmental Informatics evolves, certain research themes have seen a decline in publication frequency, reflecting shifts in focus areas as new challenges and methodologies emerge.
  1. Traditional Environmental Monitoring:
    There has been a noticeable reduction in studies focused solely on traditional monitoring methods, as the field increasingly embraces advanced technologies such as remote sensing and real-time data analytics.
  2. Static Environmental Impact Assessments:
    Research centered on static assessments of environmental impacts is waning, giving way to more dynamic and adaptive modeling approaches that account for temporal variability and uncertainties.
  3. Single-Factor Analysis:
    Papers focusing on the analysis of single environmental factors are less frequent, with a growing emphasis on integrated assessments that consider multiple interacting variables.
  4. Historical Data Analysis:
    The focus on long-term historical data analysis is declining as researchers prioritize real-time data integration and predictive modeling to address immediate environmental challenges.
  5. Conventional Waste Management Approaches:
    There is a decreasing trend in studies that discuss conventional waste management methods, as the journal shifts towards innovative and sustainable waste management solutions.

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