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Environmental Earth Sciences

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01.03.2023 | Original Article

KarstID: an R Shiny application for the analysis of karst spring discharge time series and the classification of karst system hydrological functioning

verfasst von: Guillaume Cinkus, Naomi Mazzilli, Hervé Jourde

Erschienen in: Environmental Earth Sciences | Ausgabe 6/2023

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Abstract

Karst spring discharge time series analyses are often used to gain preliminary insights into the hydrological functioning of a karst system. KarstID is an R Shiny application that facilitates the completion of such analyses and allows the identification of karst system hydrological functioning. The application permits (i) to perform statistical, recession curves, classified discharges and signal (simple correlational and spectral) analyses; (ii) to calculate relevant indicators representative of distinct hydrological characteristics of karst systems, (iii) to classify karst systems hydrological functioning; and (iv) to compare the results to a database of 78 karst systems. The KarstID software is free, open source, and actively developed on a developer community platform. The user-friendly installation and launch make it especially accessible even for non-programmers; therefore, KarstID can be used for both research and educational purposes. The application and its user manual are both available on the French SNO KARST website (https://sokarst.org/en/softwares-en/karstid-en/).

Vorheriger Artikel Hydrochemical evolution of groundwater in overburden aquifers under the influence of mining activity: combining hydrochemistry and groundwater dynamics analysis

Nächster Artikel Classification of sedimentary environments and evaluation of carbon burial rates in the coastal area of Lianyungang, China, since the Late Pleistocene

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Titel: KarstID: an R Shiny application for the analysis of karst spring discharge time series and the classification of karst system hydrological functioning
verfasst von: Guillaume Cinkus
Naomi Mazzilli
Hervé Jourde
Publikationsdatum: 01.03.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 6/2023
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-023-10830-5

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