Special Issue "Entropy in Hydrology"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (20 January 2014)
Dr. Nathaniel A. Brunsell
Department of Geography，University of Kansas, Lawrence, KS 66045, USA
Phone: +1 785 864 2021
Interests: information theory; maximum entropy production; scale; mutual information; land atmosphere interactions
The hydrological system is inherently complex and exhibits variability across a range of temporal and spatial scales. Understanding and predicting this variability is essential for assessing future changes in response to such changes as climate and anthropogenic land cover.
Entropy and associated methods may help to understand the range of variability of the hydrological system and the scales at which system organization occurs. In addition, understanding the propagation of uncertainty across scales, model-data comparisons and other relevant aspects of the application of entropy is of interest. These may include both thermodynamic as well as information theoretic applications of entropy to the hydrological sciences.
Key areas of interest include hydrological applications of:
Maximum entropy production
Extremum principles in hydrology
Information theory metrics: Shannon entropy, mutual Information, transfer entropy, etc.
Using entropy to assess scale issues
Entropy applications to model-data comparisons, particularly across scales
We seek to highlight the application of entropy techniques to the hydrological sciences and welcome your contributions to the special issue.
Dr. Nathaniel Brunsell
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI.
Technical Note: Discharge Estimation in a Lined Canal Using Information Entropy
Entropy 2014, 16(3), 1728-1742; doi:10.3390/e16031728
Received: 20 December 2013; in revised form: 10 February 2014 / Accepted: 19 March 2014 / Published: 24 March 2014| Download PDF Full-text (518 KB)
Entropy 2014, 16(3), 1365-1375; doi:10.3390/e16031365
Received: 21 January 2014; in revised form: 25 February 2014 / Accepted: 26 February 2014 / Published: 4 March 2014| Download PDF Full-text (1127 KB)
Entropy 2014, 16(3), 1287-1314; doi:10.3390/e16031287
Received: 13 January 2014; in revised form: 8 February 2014 / Accepted: 12 February 2014 / Published: 27 February 2014| Download PDF Full-text (1265 KB)
Last update: 9 July 2013