Water resource quality monitoring using heterogeneous data and high-performance computations

Autor:	Ladislav Hluchy, A. Yu. Shelestov, A. N. Kravchenko, Nataliia Kussul, V. P. Savorsky, E. A. Lupian
Rok vydání:	2008
Předmět:	Data processing General Computer Science Computer science Computation Distributed computing computer.software_genre Grid Data acquisition Grid computing Data mining Architecture Representation (mathematics) computer Realization (systems)
Zdroj:	Cybernetics and Systems Analysis. 44:616-624
ISSN:	1573-8337 1060-0396
Popis:	This article presents the architecture of a system that is used for regional water resource quality monitoring of environmental parameters using heterogeneous data sources such as remote sensing data, model data, and data of in-situ observations. The system's architecture and components are developed that are reusable and can be applied to solving various monitoring problems. The monitoring of the aquatic environment of the Dnieper estuary is selected as an example of such a problem. The distinctive features of this system consist of using a Grid approach to the distribution of complex computations and also the realization of computationally complicated computations on supercomputers of the SKIT family. Typical components of the monitoring system are presented, namely, those of data acquisition, data processing, modeling, and result representation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4fd879a0f003a41804f35bd5f5606c76 https://doi.org/10.1007/s10559-008-9032-x Zobrazit plný text záznamu Full text from SpringerLink