| Original language | English |
|---|---|
| Title of host publication | Compositional Data Analysis: Theory and Applications |
| Place of Publication | Chichester (GB) |
| Pages | 302-317 |
| Number of pages | 15 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 28 Jul 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
Keywords
- Analytical methods-sampling surveys, conducted on production wells
- Combining isotopic and compositional data-discrimination of regions, prone to nitrate pollution
- Improving water management-origin of pollution
- LDA reclassification table-with each set of data, percentage of correct reclassification
- Maresme vulnerable zone-geology of area, of Holocene alluvial deposits
- Nitrate pollution, linked to intensive use-of synthetic and organic fertilizers
- Nitrate pollution, major threat to groundwater quality-threshold value for drinking water
- Statistical methodology, applied to geochemical-and isotope data set of five vulnerable zones
- Statistical treatment-data scaling, before any statistical analysis being done
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