Managing Editor: G. Bruce Wiersma, College of Natural Resources, Forestry, and Agriculture, University of Maine, USA
Environmental Monitoring and Assessment discusses technical developments and data arising from environmental monitoring and assessment, principles in the design of monitoring systems, and the use of monitoring data in assessing the consequences of natural resource management and pollution risks.
The journal examines monitoring systems designed to estimate exposure both at the individual and population levels, and also focuses on the development of monitoring systems related to the management of various renewable natural resources in, for instance, agriculture, fisheries and forests.
Coverage extends to the use of monitoring in pollution assessment, and particular emphasis is given to the synthesis of monitoring data with toxicological, epidemiological and health data, as well as with pre-market screening results.
High quality research papers or reviews dealing with any aspect of environmental monitoring are encouraged. However, papers should not be submitted that do not advance scientific knowledge on environmental monitoring issues. Articles that simply replicate known knowledge or techniques and do not add anything new or unique to the science will normally be rejected.
The Editor-in-Chief is Dr. G. Bruce Wiersma, Center for Research on Sustainable Forests, University of Maine, USA.
As only the Editor-in-Chief can decide at submission whether an article is suitable for consideration in the journal, if the author has reviewed the 'Aims and Scope' and feels that it falls within the description, please submit the article following the normal procedures. If the article is deemed u nsuitable, the author will be informed.
The journal publishes original research papers, review papers and topical collections.
General Details on the Submission and Publication Procedures:
-No Page Charges
-All articles will have free color online and in print.
This is a transformative journal, you may have access to funding.
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.
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.
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’.