Scholarly record
DESCRIPTION OF THE INFORMATIONAL SYSTEM OF GROUNDWATER RESOURCES AND RESERVES OF KAZAKHSTAN
Abstract
Extensive research, conducted by Kazakhstani specialists in Earth sciences, resulted in accumulation of a big amount of information. Hydrogeological data are scattered and unsystematized, and it makes their processing and analysis very difficult. Therefore, it is necessary to create a unified information base, containing profile hydrogeological information and data from the related areas of knowledge, which will help to solve scientific and production tasks efficiently. Informational and analytic systems are developed for this. Various informational systems operate in different countries of the world, and they prove their efficiency for hydrogeological investigations. The geoinformational and analytic system ?Groundwater resources and reserves of the Republic of Kazakhstan? is created for accumulation of data about groundwater and the related natural environments, and for use of this data for solving practical hydrogeological tasks. The main requirements for the system are accuracy and availability of data, its reproducibility by specialists from the related areas of knowledge. Methods of the system formation include collecting and accumulating data, solving the practical hydrogeological tasks, elaborating the recommendations and providing reference and information service. The proposed informational system consists of the document database, the graphic database, the semantic database and the database of mathematical models. The semantic database involves collecting structured text information with the help of the database management system. A geoinformational system is formed by using GIS tool. A mathematical model is created by mathematical modeling of groundwater resources. The informational system configuration is dynamic, and it allows updating certain blocks when new types of data. The geoinformational and analytic system ?Groundwater resources and reserves of the Republic of Kazakhstan? can be used for solving practical hydrogeological tasks, which require a big amount of data.
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References15
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