An architecture for geoprocessing-based environmental process control

Authors

  • Luiz Alberto Oliveira Lima Roque

DOI:

https://doi.org/10.5935/1809-2667.20100023

Keywords:

Object-Oriented Model, Database, Process control, Environmental monitoring, Mathematical and statistical models, Geoprocessing, Java

Abstract

Human activity has changed natural resources in dramatic ways. In order to fight this fierce degradation, there is a great need of geographic information systems oriented to environmental monitoring. Society must track the real situation of its natural environmental resources, an action which can be accomplished by selecting important objects to be monitored, by measuring their characteristics or attributes, and by analyzing all the data using mathematical models, statistics, simulation and other tools. There is some standard, goal or desired situation for the behavior of an environmental system and, opposing this standard, the data originated from the real world must be compared. Data to be collected are of different kinds and geographically dispersed, caught by sensors disposed on specific hardware, known as Data Acquisition Systems. Thus, we present an Object-Oriented Model, based on geo-processed data, which could be considered as a framework for any kind of control information system focused on environmental processes. This model is Internet-oriented, meaning that data to be collected can be geographically distributed. After being captured, data are sent, via Internet, to specifics Data Base Management Systems (DBMS) to be stored. This raw data can be disseminated, also via Internet, to researchers or other interested individuals. Some analysis will be done with the spatial data stored in the DBMS before being presented to users. If, for various reasons, these data remain within unsafe concentration limits, some processes will be trigged in order to avoid environmental damages to air, soil or water. With this framework, models could also be developed for different kinds of ecosystems and archived in a specific database aiming at being reused later. A Java based prototype was developed to show the model functionalities.

Downloads

Download data is not yet available.

Author Biography

  • Luiz Alberto Oliveira Lima Roque
    Mestre em Engenharia de Computação. Doutorando em Engenharia de Reservatórios e Modelagem Computacional. Instituto Federal Fluminense – Campus Macaé. Email: luizlimaroque@gmail.com. Endereço: Rod. Amaral Peixoto, Km 164 Imboassica 27793-030 – Macaé, RJ, Brasil

References

HIRANO, T.; HIRATA, R.; FUJINUMA, Y.; SAIGUSA, N.; YAMAMOTO, S.; HARAZONO, Y.; TAKADA, M.; INUKAI, K.; INOUE, G. CO2 and Water Vapor Exchange of a Larch Forest in Northern Japan. Tellus, v. 55B, p. 244-257, 2003. Disponível em: <http://www-cger2.nies.go.jp>. Acesso em: 1 set. 2010.

PERIÁÑEZ, R. GISPART: a numerical model to simulate the dispersion of contaminants in the Strait of Gibraltar. Science Direct – Environmental Software, v. 20, n. 6, p. 797-802, dec. 2004.

FEDRA, K. Model-based Decision Support for Integrated Urban Air Quality Management. In: ADRIANO, D.C.; ISKANDAR, A.K.; MURARKA, I.P. (Eds.) Contamination of Groundwaters. Advances in Environmental Science. Northwood, UK: Science Reviews, 1994. p. 189-220. Disponível em: <http://www.ess.co.at/docs/papers/fedra99.html>. Acesso em: 9 jan. 2010.

UNNINAYAR, S. Climate System Monitoring. Science Direct: The Science of the Total Environment, v. 56, n. 2, p. 55-65, jun. 2003.

UNNINAYAR, S.; SCHIFFER, R.A. In-situ observations for the global observing systems: A compendium of requirements and systems. NASA Office of Mission to Planet Earth, v. 56, n. 2, p. 55-65, Jan. 1997. Disponível em: < http://www.oco.noaa.gov>. Acesso em: 13 jan. 2010.

JAWAD, S.; TOUMAMARK, W.; ELTGROTHT, K.; PAIKE, D. C. Expert interface for modeling air quality impacts from superfund sites. Science Direct: Environmental Software, v. 10, n. 4, p. 223-239, 24 jul. 2000.

LOPES, A.M.G. WINDSTATION: A software for the simulation of atmospheric flows over complex topography. Science Direct: Environmental Software, v. 18, n. 4, p. 81-96, mar. 2003.

ONGLEY, E.D. Matching water quality programs to management needs in developing countries: the challenge of program modernization. Science Direct: European Water Polution Control, v. 7, n. 4, p. 43-48, set. 1996.

OBJECT MANAGEMENT GROUP (OMG). Unified Modeling Language 2.0 Infrastructure Specification. Version 2.0 – formal/03-09-15, abr. 2004. Disponível em: < http://www.omg.org/docs/ptc/03-09-15.pdf> Acesso em: 11 jan. 2010.

SANTOS, I. dos; BRAGA, Sérgio M.; FERNANDES, C. V. S. Monitoramento Automático de Qualidade da Água: uma visão crítica para a Bacia do Rio Barigüi. In: SIMPÓSIO BRASILEIRO DE RECURSOS HÍDRICOS, 15., 2003, Curitiba. Disponível em: < http://www.lactec.org.br/publicacoes/2003/063_2003.pdf> Acesso em: 15 set. 2009.

Issue

Section

Original articles

How to Cite

ROQUE, Luiz Alberto Oliveira Lima. An architecture for geoprocessing-based environmental process control. Revista Vértices, [S. l.], v. 12, n. 3, p. 91–106, 2010. DOI: 10.5935/1809-2667.20100023. Disponível em: https://editoraessentia.iff.edu.br/index.php/vertices/article/view/1809-2667.20100023.. Acesso em: 21 nov. 2024.

Most read articles by the same author(s)