Comparison of Baseflow Separation Methods in the German Low Mountain Range
The last several years in southern Germany brought below average precipitation and high temperatures, leading to considerable challenges in water resource management. Deriving a plausible baseflow estimate is important as it affects aspects of integrated water resource management such as water usage...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/6/1740 |
| _version_ | 1797564906034167808 |
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| author | Michael Kissel Britta Schmalz |
| author_facet | Michael Kissel Britta Schmalz |
| author_sort | Michael Kissel |
| collection | DOAJ |
| description | The last several years in southern Germany brought below average precipitation and high temperatures, leading to considerable challenges in water resource management. Deriving a plausible baseflow estimate is important as it affects aspects of integrated water resource management such as water usage and low flow predictions. The aim of this study is to estimate baseflow in a representative catchment in the German low mountain range and identify suitable baseflow estimation methods for this region. Several different baseflow separation methods, including digital filters, a mass balance filter (MBF) and non-continuous estimation methods were applied and compared to estimate baseflow. Using electric conductivity (EC) for the MBF, June to September and November to May were found to be suitable to estimate the EC of the baseflow and runoff component, respectively. Both weekly and continuous EC monitoring can derive similar EC value component estimates. However, EC estimation of the runoff component requires more careful consideration. The baseflow index (<i>BFI</i>) is estimated to be in the range of 0.4 to 0.5. The Chapman and Maxwell filter, Kille method and the Q90/Q50 ratio are recommended for baseflow estimation in the German low mountain range as they give similar results to the MBF. The Eckhardt filter requires further calibration before application. |
| first_indexed | 2024-03-10T19:04:29Z |
| format | Article |
| id | doaj.art-c06a799f9753417d815b704a21aed220 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T19:04:29Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-c06a799f9753417d815b704a21aed2202023-11-20T04:14:16ZengMDPI AGWater2073-44412020-06-01126174010.3390/w12061740Comparison of Baseflow Separation Methods in the German Low Mountain RangeMichael Kissel0Britta Schmalz1Chair of Engineering Hydrology and Water Management, Technical University of Darmstadt, 64287 Darmstadt, GermanyChair of Engineering Hydrology and Water Management, Technical University of Darmstadt, 64287 Darmstadt, GermanyThe last several years in southern Germany brought below average precipitation and high temperatures, leading to considerable challenges in water resource management. Deriving a plausible baseflow estimate is important as it affects aspects of integrated water resource management such as water usage and low flow predictions. The aim of this study is to estimate baseflow in a representative catchment in the German low mountain range and identify suitable baseflow estimation methods for this region. Several different baseflow separation methods, including digital filters, a mass balance filter (MBF) and non-continuous estimation methods were applied and compared to estimate baseflow. Using electric conductivity (EC) for the MBF, June to September and November to May were found to be suitable to estimate the EC of the baseflow and runoff component, respectively. Both weekly and continuous EC monitoring can derive similar EC value component estimates. However, EC estimation of the runoff component requires more careful consideration. The baseflow index (<i>BFI</i>) is estimated to be in the range of 0.4 to 0.5. The Chapman and Maxwell filter, Kille method and the Q90/Q50 ratio are recommended for baseflow estimation in the German low mountain range as they give similar results to the MBF. The Eckhardt filter requires further calibration before application.https://www.mdpi.com/2073-4441/12/6/1740German low mountain rangebaseflow separationmass balance filteringrecession analysisrecursive digital filters |
| spellingShingle | Michael Kissel Britta Schmalz Comparison of Baseflow Separation Methods in the German Low Mountain Range Water German low mountain range baseflow separation mass balance filtering recession analysis recursive digital filters |
| title | Comparison of Baseflow Separation Methods in the German Low Mountain Range |
| title_full | Comparison of Baseflow Separation Methods in the German Low Mountain Range |
| title_fullStr | Comparison of Baseflow Separation Methods in the German Low Mountain Range |
| title_full_unstemmed | Comparison of Baseflow Separation Methods in the German Low Mountain Range |
| title_short | Comparison of Baseflow Separation Methods in the German Low Mountain Range |
| title_sort | comparison of baseflow separation methods in the german low mountain range |
| topic | German low mountain range baseflow separation mass balance filtering recession analysis recursive digital filters |
| url | https://www.mdpi.com/2073-4441/12/6/1740 |
| work_keys_str_mv | AT michaelkissel comparisonofbaseflowseparationmethodsinthegermanlowmountainrange AT brittaschmalz comparisonofbaseflowseparationmethodsinthegermanlowmountainrange |