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Environmental Monitoring and Assessment

An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Humans and the Environment

Publishing model:

Overview

Environmental Monitoring and Assessment is a journal that explores the design and implementation of monitoring systems and pollution risk assessment methods.

  • Explores technical developments and data from environmental monitoring and assessment.
  • Examines the synthesis of monitoring data with toxicological, epidemiological and health data.
  • Focuses on the development of monitoring systems related to the management of renewable natural resources e.g., agriculture, fisheries, and forests.
  • Emphasizes the use of monitoring in pollution assessment.
  • Editor-in-Chief (Prof. G. Bruce Wiersma, Center for Research on Sustainable Forests, University of Maine, USA) and an international editorial board.

Editor-in-Chief
  • G. Bruce Wiersma
Journal Impact Factor
2.9 (2023)
5-year Journal Impact Factor
3.1 (2023)
Submission to first decision (median)
10 days
Downloads
1,841,581 (2023)

Journal updates

  • Special Issue guidelines

    Environmental Monitoring and Assessment enables and encourages the publication of Special Issues. The guidelines for the preparation and publication of a Special Issue can be found here

  • Special Issue proposal form

    Environmental Monitoring and Assessment is open to receive novel & well-structured Special Issue (SI) proposals. EMAS SI Proposal Form requires proponents to have a set up list of authors and manuscript titles that would form the SI. SI proponents need to contact and get positive responses from potential authors from research institutes/institutions working in the SI topic they propose. Suggested reviewers listed in the proposal form must be totally independent. Any SI proposal will be evaluated based on its rationale, scope, novelty as well as responses of each of the items of the proposal form.

    To download the form please click here.

  • Special Issue: Utilizing AI-Driven Systems for Industrial Waste Treatment

    AI-Driven Systems for Industrial Waste Treatment is an innovative and groundbreaking book, which focuses on the benefits of artificial intelligence and machine learning-driven systems for improving the quality of life, human health, and the environment. The implementation of AI-Driven Systems in waste treatment plants or other industrial processes allows for achieving significant improvements in efficiency, quality, and cost reduction. This also, intimates’ researchers and the scientific community to do further research practices in this field. This Special Issue will act as a key to motivating many researchers working on the topic of Industrial waste treatment.

  • Special Issue: Monitoring Climate Change Impacts on Agriculture

    The Council for Scientific and Industrial research (CSIR) - National Botanical Research Institute (NBRI), India has organised a webinar on "Agriculture and Food Technologies and Mechanisms of adaptation to Climate Change"  in collaboration with Department for International Cooperation of the Russian Academy of Sciences during 11-12 November, 2020. Selected 15 deliberations will be published in a special issue ‘Monitoring climate change impacts on Agriculture’.

Journal information

Electronic ISSN
1573-2959
Abstracted and indexed in
  1. AGRICOLA
  2. ANVUR
  3. Astrophysics Data System (ADS)
  4. BFI List
  5. BIOSIS
  6. Baidu
  7. Biological Abstracts
  8. CAB Abstracts
  9. CLOCKSS
  10. CNKI
  11. CNPIEC
  12. Chemical Abstracts Service (CAS)
  13. Current Contents/Agriculture, Biology & Environmental Sciences
  14. Dimensions
  15. EBSCO
  16. EI Compendex
  17. EMBASE
  18. EMBiology
  19. Engineering Village – GEOBASE
  20. Google Scholar
  21. IFIS Publishing
  22. INIS Atomindex
  23. Japanese Science and Technology Agency (JST)
  24. Medline
  25. Naver
  26. OCLC WorldCat Discovery Service
  27. Portico
  28. ProQuest
  29. Reaxys
  30. SCImago
  31. SCOPUS
  32. Science Citation Index Expanded (SCIE)
  33. Semantic Scholar
  34. TD Net Discovery Service
  35. UGC-CARE List (India)
  36. Wanfang
  37. Zoological Record
Copyright information

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