Temporal variability of the optimal monitoring setup assessed using information theory
- Hydrology is rich in methods that use information theory to evaluate monitoring networks. Yet in most existing studies, only the available data set as a whole is used, which neglects the intraannual variability of the hydrological system. In this paper, we demonstrate how this variability can be considered by extending monitoring evaluation to subsets of the available data. Therefore, we separately evaluated time windows of fixed length, which were shifted through the data set, and successively extended time windows. We used basic information theory measures and a greedy ranking algorithm based on the criterion of maximum information/minimum redundancy. The network investigated monitored surface and groundwater levels at quarter-hourly intervals and was located at an artificially drained lowland site in the Spreewald region in north-east Germany. The results revealed that some of the monitoring stations were of value permanently while others were needed only temporally. The prevailing meteorological conditions, particularly the amountHydrology is rich in methods that use information theory to evaluate monitoring networks. Yet in most existing studies, only the available data set as a whole is used, which neglects the intraannual variability of the hydrological system. In this paper, we demonstrate how this variability can be considered by extending monitoring evaluation to subsets of the available data. Therefore, we separately evaluated time windows of fixed length, which were shifted through the data set, and successively extended time windows. We used basic information theory measures and a greedy ranking algorithm based on the criterion of maximum information/minimum redundancy. The network investigated monitored surface and groundwater levels at quarter-hourly intervals and was located at an artificially drained lowland site in the Spreewald region in north-east Germany. The results revealed that some of the monitoring stations were of value permanently while others were needed only temporally. The prevailing meteorological conditions, particularly the amount of precipitation, affected the degree of similarity between the water levels measured. The hydrological system tended to act more individually during periods of no or little rainfall. The optimal monitoring setup, its stability, and the monitoring effort necessary were influenced by the meteorological forcing. Altogether, the methodology presented can help achieve a monitoring network design that has a more even performance or covers the conditions of interest (e.g., floods or droughts) best.…
Verfasserangaben: | Marcus Fahle, Tobias Ludwig HohenbrinkORCiDGND, Ottfried Dietrich, Gunnar LischeidORCiDGND |
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DOI: | https://doi.org/10.1002/2015WR017137 |
ISSN: | 0043-1397 |
ISSN: | 1944-7973 |
Titel des übergeordneten Werks (Englisch): | Water resources research |
Verlag: | American Geophysical Union |
Verlagsort: | Washington |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2015 |
Erscheinungsjahr: | 2015 |
Datum der Freischaltung: | 27.03.2017 |
Freies Schlagwort / Tag: | Shannon entropy; artificially drained lowland; hydrometric network design; shallow groundwater tables; surface water levels |
Band: | 51 |
Ausgabe: | 9 |
Seitenanzahl: | 21 |
Erste Seite: | 7723 |
Letzte Seite: | 7743 |
Fördernde Institution: | German Federal Ministry of Education and Research [FKZ: 01LR0803A] |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
Peer Review: | Referiert |
Name der Einrichtung zum Zeitpunkt der Publikation: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften |