Dependency Model for Visible Aquaphotomics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F19%3A43899243" target="_blank" >RIV/60076658:12520/19:43899243 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-17938-0_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-17938-0_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-17938-0_10" target="_blank" >10.1007/978-3-030-17938-0_10</a>

Result language
angličtina
Original language name
Dependency Model for Visible Aquaphotomics
Original language description
The main idea of this research is the extension of the aquaphotomics method to the visible range of the spectrum. Already known as a fact that each chemical element has a unique pattern in the absorption of electromagnetic radiation. Such a structure is a spectrum bands absorbed by an element and is called its ‘fingerprint’. The fingerprint section is presented in a wide range of spectrum, including the visible part. Absorption in the visible spectrum provides unique information about the elements or compounds present in water. This allows to analyze the concentration of microparticles and chemical elements in water due to changes in the molecular water system, presented in the form of a spectral picture of water. The results presented in this paper prove the existence of a correlation between some parameters of water and its spectral characteristics. © 2019, Springer Nature Switzerland AG.
Czech name
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Czech description
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Project
<a href="/en/project/LM2018099" target="_blank" >LM2018099: South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-17937-3
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
105-115
Publisher name
Springer Verlag
Place of publication
Granada, Spain
Event location
Granada, Spain
Event date
May 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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