UDC: 
DOI: 
10.22389/0016-7126-2015-905-11-44-50
1 Rozhentsov G.Yu.
Year: 
№: 
905
Pages: 
44–50

Lomonosov Moscow State University (MSU)

1, 
Abstract:
The article presents a way to create a structure and filling content of specific geodatabase required for meteorological situation forecast mapping of economic activity in line with certain factors that have an impact on its favorableness. One of the possible ways of solving this problem is to generate spatial gridded features of the forecast parameters of weather conditions in a geodatabase with the required lapse of time and a specific set of semantic information. The structure and content of the such geodatabase is specified by the main factors affecting main sectors of the economy, and parameters on the basis of which would be created maps of dangerous weather conditions. Parameter values are stored in the form of a semantic component of spatial features (attribute fields of a feature class) and include a complete list of the initial parameters defined at the stage of data selection from all parameters of weather conditions.
References: 
1.   Belov P.N., Borisenkov E.P., Panin B.D. Chislennye metody prognoza pogody. L.: Gidrometeoizdat, 1989, 376 p.
2.   Dokumentaciya po PostgreSQL 9.1.1. URL: http://postgresql.ru.net/manual/index
3.   Sokolihina N.N., Surkova G.V., Toropov P.A., Chubarova N.E. Gidrometeorologicheskie banki dannyh. M.: izd. geograficheskogo f-ta MGU, 2010, 79 p.
4.   Handozhko L.A. Ehkonomicheskaya meteorologiya. SPb.: Gidrometeoizdat, 2005, 491 p.
5.   Chernyshev A.V., Alyautdinov A.R., Semin V.N. Informacionno-kartograficheskaya sistema dlya nakopleniya, analiza i vizualizacii dannyh po klimaticheski obuslovlennym prirodnym resursam. Pod red. N.S. Kasimova i A.V. Kislova.Ehkologo-geograficheskie posledstviya global'nogo potepleniya klimata 21 veka na Vostochno-Evropejskoj ravnine i v Zapadnoj Sibiri, M.: MAKS Press, 2011, pp. 50–62.
6.   Chislennaya model' prognozirovaniya pogody. URL: http://www.pogoda.by/about/?information=forecast
7.   About PostgreSQL. URL: http://www.postgresql.org/about/
Citation:
Rozhentsov G.Yu., 
(2015) The structure and content of mapping geodatabase for the rapid meteorological situation assessment of industrial activity in different economy sectors. Geodesy and cartography = Geodezia i Kartografia, (11), pp. 44–50. (In Russian). DOI: 10.22389/0016-7126-2015-905-11-44-50
Publication History
Received: 18.02.2015
Accepted: 12.10.2015
Published: 20.12.2015

Content

2015 November DOI:
10.22389/0016-7126-2015-905-11

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