Information-Modeling Instrumental System for the Water Resource Diagnostics
Autor: | Costica Nitu, Vladimir Yu. Soldatov, Alexandru Dumitrascu, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan |
---|---|
Rok vydání: | 2019 |
Předmět: |
Big data processing
Data processing Computer science Mode (statistics) 010501 environmental sciences computer.software_genre 01 natural sciences Task (project management) Water resources Resource (project management) Information model Data mining computer 0105 earth and related environmental sciences |
Zdroj: | CSCS |
DOI: | 10.1109/cscs.2019.00086 |
Popis: | Information - modeling instrumental technology with expert functions is proposed, to be as a tool for the diagnostics of natural and man-made water resources. Technology is based on the modeling tools and solution inverse task of the spectroellipsometry and spectrophotometry. Algorithm is developed for the big data processing when multi-channel monitoring information delivered episodically in the time and fragmentary in the space. Results of laboratory and insitu data processing are represented. Recommendations for the monitoring mode are given. |
Databáze: | OpenAIRE |
Externí odkaz: |