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Comparison of Baseflow Separation Methods in the German Low Mountain Range

Kissel, Michael ; Schmalz, Britta (2021)
Comparison of Baseflow Separation Methods in the German Low Mountain Range.
In: Water, 2020, 12 (6)
doi: 10.26083/tuprints-00017529
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

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 (BFI) 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.

Typ des Eintrags: Artikel
Erschienen: 2021
Autor(en): Kissel, Michael ; Schmalz, Britta
Art des Eintrags: Zweitveröffentlichung
Titel: Comparison of Baseflow Separation Methods in the German Low Mountain Range
Sprache: Englisch
Publikationsjahr: 2021
Publikationsdatum der Erstveröffentlichung: 2020
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Water
Jahrgang/Volume einer Zeitschrift: 12
(Heft-)Nummer: 6
DOI: 10.26083/tuprints-00017529
URL / URN: https://tuprints.ulb.tu-darmstadt.de/17529
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Herkunft: Zweitveröffentlichung aus gefördertem Golden Open Access
Kurzbeschreibung (Abstract):

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 (BFI) 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.

Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-175293
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut Wasserbau und Wasserwirtschaft > Fachgebiet Ingenieurhydrologie und Wasserbewirtschaftung
Hinterlegungsdatum: 16 Feb 2021 13:14
Letzte Änderung: 23 Feb 2021 06:17
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