Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area
Groundwater modelling needs a large number of piezometer well data, which is unfortunately not always available as earlier registered data series are not always continuous. The reconstruction of data series with gaps was previously examined on a small riverside pilot area with the help of multiple r...
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| Format: | Article |
| Language: | English |
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Sciendo
2022-06-01
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| Series: | Slovak Journal of Civil Engineering |
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| Online Access: | https://doi.org/10.2478/sjce-2022-0012 |
| _version_ | 1811222999043407872 |
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| author | Wagner Flora |
| author_facet | Wagner Flora |
| author_sort | Wagner Flora |
| collection | DOAJ |
| description | Groundwater modelling needs a large number of piezometer well data, which is unfortunately not always available as earlier registered data series are not always continuous. The reconstruction of data series with gaps was previously examined on a small riverside pilot area with the help of multiple regression, this method has now been tested at a 50-times larger environment. The results show that the reconstruction of the data series with this method works with average monthly groundwater levels and that applying multiple regression with the independent variables being one of the wells and the river optimizes the accuracy of the calculated data series, even if the relationships between the river and the wells are weak. The effect of the multiple regression on the accuracy is greater if the data series is sparser. |
| first_indexed | 2024-04-12T08:25:16Z |
| format | Article |
| id | doaj.art-65b19015c25044b29d2d741f7b77a724 |
| institution | Directory Open Access Journal |
| issn | 1338-3973 |
| language | English |
| last_indexed | 2024-04-12T08:25:16Z |
| publishDate | 2022-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Slovak Journal of Civil Engineering |
| spelling | doaj.art-65b19015c25044b29d2d741f7b77a7242022-12-22T03:40:25ZengSciendoSlovak Journal of Civil Engineering1338-39732022-06-01302303710.2478/sjce-2022-0012Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank AreaWagner Flora0Dept. of Hydraulic and Water Resources Engineering, Budapest University of Technology and Economics, Budapest, HungaryGroundwater modelling needs a large number of piezometer well data, which is unfortunately not always available as earlier registered data series are not always continuous. The reconstruction of data series with gaps was previously examined on a small riverside pilot area with the help of multiple regression, this method has now been tested at a 50-times larger environment. The results show that the reconstruction of the data series with this method works with average monthly groundwater levels and that applying multiple regression with the independent variables being one of the wells and the river optimizes the accuracy of the calculated data series, even if the relationships between the river and the wells are weak. The effect of the multiple regression on the accuracy is greater if the data series is sparser.https://doi.org/10.2478/sjce-2022-0012groundwaterriverside areadata seriesmultiple regression |
| spellingShingle | Wagner Flora Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area Slovak Journal of Civil Engineering groundwater riverside area data series multiple regression |
| title | Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area |
| title_full | Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area |
| title_fullStr | Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area |
| title_full_unstemmed | Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area |
| title_short | Possibilities of Applying Multivariable Regression in Groundwater Data Series along a Riverbank Area |
| title_sort | possibilities of applying multivariable regression in groundwater data series along a riverbank area |
| topic | groundwater riverside area data series multiple regression |
| url | https://doi.org/10.2478/sjce-2022-0012 |
| work_keys_str_mv | AT wagnerflora possibilitiesofapplyingmultivariableregressioningroundwaterdataseriesalongariverbankarea |