NDLI: Development of a novel method to monitor the temporal change in the location of the freshwater–saltwater interface and time series models for the prediction of the interface

Content Provider	Springer Nature Link
Author	Kim, Yongcheol Yoon, Heesung Kim, Gee Pyo
Copyright Year	2016
Abstract	The monitoring and prediction of temporal change in the location of the freshwater–saltwater interface including the groundwater level (GWL) is the essential information for effective management of coastal aquifer, especially for managing the saltwater intrusion. A simple and novel method for monitoring temporal change in the location of the freshwater–saltwater interface was developed and evaluated by applying to a coastal aquifer in Jeju Island, resulted in obtaining time series data of the freshwater–saltwater interface level (FSL) successfully. And applicability of artificial neural network-based time series models to prediction of the GWL and the FSL is evaluated using the observed data from the site. The prediction result shows that the input configuration including autoregressive components enhances the model performance and the recursive prediction models can be useful for the long-term prediction of the GWL and the FSL in this case study.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	75
Issue Number	10
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-05-12
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Freshwater–saltwater interface Interface egg Artificial neural network Jeju Island Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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