Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania
This study was carried out in a protected area (Ronișoara Forest) in Romania. A combined approach of quality assessment of alluvial aquifers is employed, by determining the chemistry and applying two pollution indices based on heavy metals concentrations (HPI- Heavy metal Pollution Index and HEI- He...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22008202 |
| _version_ | 1818049709017661440 |
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| author | Thomas Dippong Maria-Alexandra Hoaghia Marin Senila |
| author_facet | Thomas Dippong Maria-Alexandra Hoaghia Marin Senila |
| author_sort | Thomas Dippong |
| collection | DOAJ |
| description | This study was carried out in a protected area (Ronișoara Forest) in Romania. A combined approach of quality assessment of alluvial aquifers is employed, by determining the chemistry and applying two pollution indices based on heavy metals concentrations (HPI- Heavy metal Pollution Index and HEI- Heavy metal Evaluation Index), a quality assessment index based on specific physico-chemical indicators (WQI- the Water Quality Index) and different plots (Durov, Schoeller and TIS-Total Ion Salinity). The study revealed that waters are rich in manganese, calcium, sodium, sulphate, ammonium, manganese, iron, total dissolved solids, dominated by bicarbonates. The chemicals’ sources are related to the water–rock interactions and to mine exploitation activities. Correlations were observed between the electrical conductivity and sulphate, total dissolved solids and sulphate, and total hardness and electrical conductivity. The results based on the levels of heavy metals pollution indicate that the studied water samples are characterized by low, medium and high pollution levels, with values ranging between 0.40 and 234. The WQI scores vary from 8.6 to 54, generally indicating excellent and medium quality, and low quality for two samples. This research, one of the first in the area, can serve as a reference for the protection of natural water resources and for the contamination control of alluvial aquifers in the protected area of Ronișoara Forest. |
| first_indexed | 2024-12-10T10:41:53Z |
| format | Article |
| id | doaj.art-64b8f221111c4046be453b32bf64130e |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-12-10T10:41:53Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-64b8f221111c4046be453b32bf64130e2022-12-22T01:52:16ZengElsevierEcological Indicators1470-160X2022-10-01143109347Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, RomaniaThomas Dippong0Maria-Alexandra Hoaghia1Marin Senila2Technical University of Cluj-Napoca, North University Centre at Baia Mare, Faculty of Science, 76 Victoriei Street, 430122 Baia Mare, RomaniaINCDO-INOE 2000, Subsidiary Research Institute for Analytical Instrumentation, 67 Donath Street, 400293 Cluj-Napoca, Romania; Corresponding author.INCDO-INOE 2000, Subsidiary Research Institute for Analytical Instrumentation, 67 Donath Street, 400293 Cluj-Napoca, RomaniaThis study was carried out in a protected area (Ronișoara Forest) in Romania. A combined approach of quality assessment of alluvial aquifers is employed, by determining the chemistry and applying two pollution indices based on heavy metals concentrations (HPI- Heavy metal Pollution Index and HEI- Heavy metal Evaluation Index), a quality assessment index based on specific physico-chemical indicators (WQI- the Water Quality Index) and different plots (Durov, Schoeller and TIS-Total Ion Salinity). The study revealed that waters are rich in manganese, calcium, sodium, sulphate, ammonium, manganese, iron, total dissolved solids, dominated by bicarbonates. The chemicals’ sources are related to the water–rock interactions and to mine exploitation activities. Correlations were observed between the electrical conductivity and sulphate, total dissolved solids and sulphate, and total hardness and electrical conductivity. The results based on the levels of heavy metals pollution indicate that the studied water samples are characterized by low, medium and high pollution levels, with values ranging between 0.40 and 234. The WQI scores vary from 8.6 to 54, generally indicating excellent and medium quality, and low quality for two samples. This research, one of the first in the area, can serve as a reference for the protection of natural water resources and for the contamination control of alluvial aquifers in the protected area of Ronișoara Forest.http://www.sciencedirect.com/science/article/pii/S1470160X22008202Alluvial aquiferWater quality indexDurovTISSchoeller plots |
| spellingShingle | Thomas Dippong Maria-Alexandra Hoaghia Marin Senila Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania Ecological Indicators Alluvial aquifer Water quality index Durov TIS Schoeller plots |
| title | Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania |
| title_full | Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania |
| title_fullStr | Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania |
| title_full_unstemmed | Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania |
| title_short | Appraisal of heavy metal pollution in alluvial aquifers. Study case on the protected area of Ronișoara Forest, Romania |
| title_sort | appraisal of heavy metal pollution in alluvial aquifers study case on the protected area of ronisoara forest romania |
| topic | Alluvial aquifer Water quality index Durov TIS Schoeller plots |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22008202 |
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