Quantifying and Numerically Representing Recharge and Flow Components in a Karstified Carbonate Aquifer.
Ireland
groundwater
karst
pipe network model
signal decomposition method
time series analysis
Journal
Water resources research
ISSN: 0043-1397
Titre abrégé: Water Resour Res
Pays: United States
ID NLM: 7501965
Informations de publication
Date de publication:
Nov 2020
Nov 2020
Historique:
received:
13
04
2020
revised:
29
09
2020
accepted:
05
10
2020
entrez:
1
2
2021
pubmed:
2
2
2021
medline:
2
2
2021
Statut:
ppublish
Résumé
Karstified carbonate aquifers are highly heterogeneous systems characterized by multiple recharge, flow, and discharge components. The quantification of the relative contribution of these components, as well as their numerical representation, remains a challenge. This paper identifies three recharge components in the time and frequency domain. While the analysis in the time domain follows traditional approaches, the analysis of the power spectrum allows frequencies associated with specific spectral coefficients and noise types to be distinguished more objectively. The analysis follows the presented hypothesis that the different frequency-noise components are the result of aquifer heterogeneity transforming the random rainfall input into a sequence of non-Gaussian signals. The distinct signals are then numerically represented in the context of a semidistributed pipe network model in order to simulate recharge, flow, and discharge of an Irish karst catchment more realistically. By linking the power spectra of the modeled recharge components with the spectra of the spring discharge, the information usually gained by classical performance indicators is significantly widened. The modeled spring discharge is well matched in the time and frequency domain, yet the different recharge dynamics explain the signal of the aquifer outlet in different noise domains across the spectrum. This study demonstrates the conjunctive use of frequency analysis in conceptualization of a hydrological system together with modeling and evaluation.
Identifiants
pubmed: 33518822
doi: 10.1029/2020WR027717
pii: WRCR24928
pmc: PMC7816274
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e2020WR027717Informations de copyright
©2020. The Authors.
Déclaration de conflit d'intérêts
There are no real or perceived financial conflicts of interests of any of the authors.
Références
Ground Water. 2007 May-Jun;45(3):288-93
pubmed: 17470118
Hydrogeol J. 2012 Dec 1;20(8):1441-1461
pubmed: 23645996