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Groundwater Data Management System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F14%3A%230002885" target="_blank" >RIV/46747885:24220/14:#0002885 - isvavai.cz</a>

  • Result on the web

    <a href="http://oops.uni-oldenburg.de/id/eprint/1919" target="_blank" >http://oops.uni-oldenburg.de/id/eprint/1919</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Groundwater data management system

  • Original language description

    We have developed a system to manage groundwater data (geology, hydrology and geochemistry). The system is flexible, readily extensible and adaptable. It can load data in different formats. Loading and cleaning the data is performed by an ETL tool Pentaho Data Integration (aka. Kettle). The coordinates are converted by GeoKettle (spatial fork of Kettle). The database PostgreSQL uses our own data model. Groundwater specialists can visualize data in EnviroInsite desktop software. A non-specialist can visualize data in a web application. Non-point spatial data is stored in a spatial database (PostGIS) and served via a map server (GeoServer) as a map service to our web application or to any geographic information systems (GIS). We have successfully used tools for business intelligence and spatial data infrastructure.

  • Czech name

    Groundwater data management system

  • Czech description

    We have developed a system to manage groundwater data (geology, hydrology and geochemistry). The system is flexible, readily extensible and adaptable. It can load data in different formats. Loading and cleaning the data is performed by an ETL tool Pentaho Data Integration (aka. Kettle). The coordinates are converted by GeoKettle (spatial fork of Kettle). The database PostgreSQL uses our own data model. Groundwater specialists can visualize data in EnviroInsite desktop software. A non-specialist can visualize data in a web application. Non-point spatial data is stored in a spatial database (PostGIS) and served via a map server (GeoServer) as a map service to our web application or to any geographic information systems (GIS). We have successfully used tools for business intelligence and spatial data infrastructure.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TA02020177" target="_blank" >TA02020177: Information system for support of decision making on use of recultived landscape (MARE)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    EnviroInfo 2014 ? ICT for Energy Efficiency : Proceedings of the 28th International conference on informatics for environmental protection. September 10-12, 2014, Oldenburg, Germany

  • ISBN

    978-3-8142-2317-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    301-306

  • Publisher name

    BIS-Verlag, Carl von Ossietzky University Oldenburg

  • Place of publication

    Oldenburg

  • Event location

    Oldenburg

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article