An Innovative Process for Efficient Data Evaluation in an Atmospheric Geochemical Survey of Contaminated Soil
| Author(s): |
Erika Skvarekova
(Faculty of Mining, Ecology, Process Control, and Geotechnologies; Institute of Earth’s resources, Department of Mountainous Sciences , Technical University of Kosice)
Gabriel Wittenberger (Faculty of Mining, Ecology, Process Control, and Geotechnologies; Institute of Earth’s resources, Department of Mountainous Sciences , Technical University of Kosice) Andrea Senova (Faculty of Mining, Ecology, Process Control, and Geotechnologies; Institute of Earth’s resources, Department of Mountainous Sciences , Technical University of Kosice) Tomáš Bakalár (Faculty of Mining, Ecology, Process Control, and Geotechnologies; Institute of Earth’s resources, Department of Mountainous Sciences , Technical University of Kosice) Rastislav Harcarufka (Telegrafia a.s. , Kosice) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Civil and Environmental Engineering Reports, December 2020, n. 4, v. 30 |
| Page(s): | 173-187 |
| DOI: | 10.2478/ceer-2020-0058 |
| Abstract: |
The article focuses on the field of innovative trends for efficient data processing in the conduct of research of organic soil pollution using a soil air analyzer for surveys of soil contamination in situ at industrial enterprises in Slovakia. The content of the article is a discourse of theoretical knowledge from the field of the geological environment; the authors’ own survey to monitor the processing and evaluation of the measured values obtained (e.g., CO2, CH4, NEL, BTEX). Currently, standard data processing procedures using the software that is supplied have basic or limited functionality, and the processing time is several hours, including manual and repetitive tasks. As we present in the article, the new Windows PowerShell tool is being used more efficiently, reducing the data processing time which represents an 86% time saving. There is currently no suitable or faster way of evaluating the measured data in Slovakia and the Czech Republic. |
| License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10705112 - Published on:
19/02/2023 - Last updated on:
10/05/2023
