Special Issue "The Application of State-of-the-Art Statistical Tools in Limnology, towards a Sustainable Future"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Aquatic Systems—Quality and Contamination".

Deadline for manuscript submissions: 7 February 2021.

Special Issue Editors

Dr. István Gábor Hatvani
Website
Guest Editor
Institute for Geological and Geochemical Research, Research Centre for Astronomy and Earth Sciences
Centre for Environmental Sciences, Eötvös Loránd University
Interests: water quality, paleoclimate, geostatistics, data analysis, R
Dr. Norbert Magyar
Website
Guest Editor
Budapest Business School – University of Applied Sciences
Interests: water quality, time series analysis,geostatistics, multivariate statistical methods, R

Special Issue Information

Dear Colleagues,

The term “limnology” comes from the ancient Greek word λίμνη (limne) meaning lake or pond; however, it is recognized as the discipline involving the study of both fresh- and saline inland waters (Wetzel, 2001).

With problems related to water quality becoming more frequent, more sampling sites are being included in national and international monitoring networks, and their sampling frequency is showing a tendency to increase as well. This trend has as its result an ever-growing amount of data, to a point where this amount is greater than is usual within the scope of “simple” statistical analyses. Thus, in the last few decades stochastic modeling, with the use of time series analysis and multivariate statistical techniques, has increased dramatically in surface and groundwater research. The reason is the increase in the amount and time span of the available data. As a consequence, it has become possible to investigate the relationship between various natural parameters (i.e. random variables in the statistical modeling) and the temporal evolution of the natural processes, observed in discrete time periods as time series.

This Special Issue (SI) aims to attract studies tackling emerging statistical approaches and research topics related to water-quality and quantity modeling in the field of limnology, with the ultimate aim of providing new perspectives to carry the field into its next stages of evolution. Along with addressing new focal points and approaches, the SI is designated to present papers dealing with limnology in a multidisciplinary way coupling water-quality/quantity modeling with other areas of the natural aqueous environment. In particular, water quality model frameworks addressing future problems such as climate change would be of particularly welcome.

Dr. István Gábor Hatvani
Dr. Norbert Magyar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water quality
  • hydrology
  • modeling
  • eutrophication
  • Shallow groundwater
  • nutrients
  • Stochastic analyses

Published Papers

This special issue is now open for submission.
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