Data Conditioning Modes for the Study of Groundwater Resource Quality Using a Large Physico-Chemical and Bacteriological Database, Occitanie Region, France

Data Conditioning Modes for the Study of Groundwater Resource Quality Using a Large Physico-Chemical and Bacteriological Database, Occitanie Region, France

When studying large multiparametric databases with very heterogeneous parameters (microbiological, chemical, and physicochemical), covering a wide and heterogeneous area, the probability of observing extreme values (Z-score > 2.5) is high. The information carried by these few samples monopolizes...

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Bibliographic Details
Main Authors: Meryem Jabrane, Abdessamad Touiouine, Abdelhak Bouabdli, Saïd Chakiri, Ismail Mohsine, Vincent Valles, Laurent Barbiero
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Water
Subjects:
groundwater resource
groundwater management
large database
log-transformation
Occitanie
France
Online Access:https://www.mdpi.com/2073-4441/15/1/84

Internet

https://www.mdpi.com/2073-4441/15/1/84

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