Prediction models for groundwater quality parameters using a multiple linear regression (MLR): a case study of Kermanshah, Iran
| Title: | Prediction models for groundwater quality parameters using a multiple linear regression (MLR): a case study of Kermanshah, Iran |
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استنادات
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| Author(s): | Dargahi, P., Nasseri, S., Hadi, M., Nodehi, R.N., Mahvi, A.H. | |
| Published/Type: | 2023 / Original Article | |
| Journal: | Journal of Environmental Health Science and Engineering, 21(1), pp. 63-71 | |
| Abstract:
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Groundwater is one of the major sources of exploitation in arid and semiarid regions. Spatial and temporal quality distribution is an important factor in groundwater management. Thus for protecting groundwater quality, data production on spatial and temporal distribution is essential. The present study has applied multiple linear regression (MLR) techniques to predict the fitness of groundwater quality in Kermanshah province, west of Iran. The parameters examined were Total dissolved solids (TDS),... | |
| Collaborations: |  |
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| View at: | https://link.springer.com/article/10.1007/s40201-022-00836-9 | |
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