Memory of past random wave conditions in submarine groundwater discharge

Xin, Pei, Wang, Shen S. J., Robinson, Clare, Li, Ling, Wang, You-Gan and Barry, D. A. (2014) Memory of past random wave conditions in submarine groundwater discharge. Geophysical Research Letters, 41 7: 2401-2410. doi:10.1002/2014GL059617

Author Xin, Pei
Wang, Shen S. J.
Robinson, Clare
Li, Ling
Wang, You-Gan
Barry, D. A.
Title Memory of past random wave conditions in submarine groundwater discharge
Journal name Geophysical Research Letters   Check publisher's open access policy
ISSN 0094-8276
Publication date 2014-04-16
Year available 2014
Sub-type Article (original research)
DOI 10.1002/2014GL059617
Open Access Status Not yet assessed
Volume 41
Issue 7
Start page 2401
End page 2410
Total pages 10
Place of publication Hoboken, NJ United States
Publisher Wiley-Blackwell
Language eng
Subject 1900 Earth and Planetary Sciences
1908 Geophysics
Abstract Submarine groundwater discharge (SGD) is an integral part of the hydrological cycle and represents an important aspect of land-ocean interactions. We used a numerical model to simulate flow and salt transport in a nearshore groundwater aquifer under varying wave conditions based on yearlong random wave data sets, including storm surge events the results showed significant flow asymmetry with rapid response of influxes and retarded response of effluxes across the seabed to the irregular wave conditions. While a storm surge immediately intensified seawater influx to the aquifer, the subsequent return of intruded seawater to the sea, as part of an increased SGD, was gradual. Using functional data analysis, we revealed and quantified retarded, cumulative effects of past wave conditions on SGD including the fresh groundwater and recirculating seawater discharge components the retardation was characterized well by a gamma distribution function regardless of wave conditions the relationships between discharge rates and wave parameters were quantifiable by a regression model in a functional form independent of the actual irregular wave conditions. This statistical model provides a useful method for analyzing and predicting SGD from nearshore unconfined aquifers affected by random waves. Key Points Cumulative effects of antecedent wave conditions on SGD Long memory of past wave conditions back to over a hundred days found in the SGD Wave effects characterized well by a gamma distribution function
Keyword Coastal aquifer
Nearshore processes
Storm surge
Subterranean estuary
Surface water and groundwater interaction
Wave Setup
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
School of Civil Engineering Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 18 times in Thomson Reuters Web of Science Article | Citations
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