Determination of groundwater threshold values: A methodological approach
This article is concerned with the establishment of natural background levels and threshold values for naturally-occurring parameters in groundwaters in the absence of relevant and accurate long-term spatial data. A new approach was developed and exemplified, adopting the groundwaters of the Gediz R...
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| Published in: | Journal of cleaner production Vol. 253; p. 120001 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
20-04-2020
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| Subjects: | |
| Online Access: | Get full text |
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| Summary: | This article is concerned with the establishment of natural background levels and threshold values for naturally-occurring parameters in groundwaters in the absence of relevant and accurate long-term spatial data. A new approach was developed and exemplified, adopting the groundwaters of the Gediz River Basin, Turkey, as a case study. The available groundwater monitoring data was from a one-year seasonal water quality monitoring campaign. The approach used combines pre-selection, selection and statistical evaluation of the selected data to eliminate outliers to determine natural background levels. The application of three different statistical tools, namely, probability plot, 2-σ iteration, and distribution function methods, resulted in different natural background level estimates. The 2-σ iteration method provided the most conservative values for almost all the parameters. The use of this three-step approach, which adopts different statistical methods, appeared to solve the limited data availability challenges specific to groundwater contamination and improve natural background level assessment and threshold value setting. Lessons learned from this study can help policymakers to promote similar initiatives in other countries where groundwater quality data is limited.
•A methodology is developed to assess natural background level with limited data.•The preselection is based on chloride, nitrate and geothermal pressures.•The selection is by box and whister plots.•Outliers elimination is by three different statistical methods.•The use of the methodology provided more accurate natural background level estimates. |
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| ISSN: | 0959-6526 1879-1786 |
| DOI: | 10.1016/j.jclepro.2020.120001 |