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
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- 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)
Latest articles
Journal updates
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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.
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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.
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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.
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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
- Print ISSN
- 0167-6369
- Abstracted and indexed in
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- AGRICOLA
- ANVUR
- Astrophysics Data System (ADS)
- BFI List
- BIOSIS
- Baidu
- Biological Abstracts
- CAB Abstracts
- CLOCKSS
- CNKI
- CNPIEC
- Chemical Abstracts Service (CAS)
- Current Contents/Agriculture, Biology & Environmental Sciences
- Dimensions
- EBSCO
- EI Compendex
- EMBASE
- EMBiology
- Engineering Village – GEOBASE
- Google Scholar
- IFIS Publishing
- INIS Atomindex
- Japanese Science and Technology Agency (JST)
- Medline
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- Reaxys
- SCImago
- SCOPUS
- Science Citation Index Expanded (SCIE)
- Semantic Scholar
- TD Net Discovery Service
- UGC-CARE List (India)
- Wanfang
- Zoological Record
- Copyright information