Prediction model for spatial and temporal variation of groundwater level based on river stage

Incheol Kim, Junhwan Lee

Research output: Contribution to journalComment/debate

1 Citation (Scopus)

Abstract

Groundwater level (GWL) is an important subsoil characteristic, closely related to geological, geographical, and hydrological conditions. In urban areas, a key influence component for GWL is river stage (RS) because of the near-river location and low rainfall infiltration into the ground. In this study, the spatial and temporal variation of GWL was analyzed, and a GWL prediction model based on river stage was proposed. For this purpose, a series of the finite-element (FE) analyses were performed considering various geological and hydrological conditions. The spatial and temporal responses of GWL to river stage from the analyses were quantified for various permeability and river stage conditions. Based on results of the FE analyses, a correlation model between GWL and river stage was established. The model parameters were evaluated and given in forms of design equations. The proposed method provides a simple and effective way for predicting GWL based on river stage, without an elaborate modeling process and sophisticated numerical scheme that requires heavy computation efforts. To check the validity of the proposed GWL prediction method, a test site was selected and adopted into the comparison. The predicted GWL using the proposed method indicated close agreement with the measured GWL.

Original languageEnglish
Article number06018002
JournalJournal of Hydrologic Engineering
Volume23
Issue number6
DOIs
Publication statusPublished - 2018 Jun 1

Fingerprint

Groundwater
temporal variation
spatial variation
Rivers
groundwater
prediction
river
Infiltration
subsoil
Rain
infiltration
urban area
permeability
rainfall
modeling
method

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Civil and Structural Engineering
  • Water Science and Technology
  • Environmental Science(all)

Cite this

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title = "Prediction model for spatial and temporal variation of groundwater level based on river stage",
abstract = "Groundwater level (GWL) is an important subsoil characteristic, closely related to geological, geographical, and hydrological conditions. In urban areas, a key influence component for GWL is river stage (RS) because of the near-river location and low rainfall infiltration into the ground. In this study, the spatial and temporal variation of GWL was analyzed, and a GWL prediction model based on river stage was proposed. For this purpose, a series of the finite-element (FE) analyses were performed considering various geological and hydrological conditions. The spatial and temporal responses of GWL to river stage from the analyses were quantified for various permeability and river stage conditions. Based on results of the FE analyses, a correlation model between GWL and river stage was established. The model parameters were evaluated and given in forms of design equations. The proposed method provides a simple and effective way for predicting GWL based on river stage, without an elaborate modeling process and sophisticated numerical scheme that requires heavy computation efforts. To check the validity of the proposed GWL prediction method, a test site was selected and adopted into the comparison. The predicted GWL using the proposed method indicated close agreement with the measured GWL.",
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Prediction model for spatial and temporal variation of groundwater level based on river stage. / Kim, Incheol; Lee, Junhwan.

In: Journal of Hydrologic Engineering, Vol. 23, No. 6, 06018002, 01.06.2018.

Research output: Contribution to journalComment/debate

TY - JOUR

T1 - Prediction model for spatial and temporal variation of groundwater level based on river stage

AU - Kim, Incheol

AU - Lee, Junhwan

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Groundwater level (GWL) is an important subsoil characteristic, closely related to geological, geographical, and hydrological conditions. In urban areas, a key influence component for GWL is river stage (RS) because of the near-river location and low rainfall infiltration into the ground. In this study, the spatial and temporal variation of GWL was analyzed, and a GWL prediction model based on river stage was proposed. For this purpose, a series of the finite-element (FE) analyses were performed considering various geological and hydrological conditions. The spatial and temporal responses of GWL to river stage from the analyses were quantified for various permeability and river stage conditions. Based on results of the FE analyses, a correlation model between GWL and river stage was established. The model parameters were evaluated and given in forms of design equations. The proposed method provides a simple and effective way for predicting GWL based on river stage, without an elaborate modeling process and sophisticated numerical scheme that requires heavy computation efforts. To check the validity of the proposed GWL prediction method, a test site was selected and adopted into the comparison. The predicted GWL using the proposed method indicated close agreement with the measured GWL.

AB - Groundwater level (GWL) is an important subsoil characteristic, closely related to geological, geographical, and hydrological conditions. In urban areas, a key influence component for GWL is river stage (RS) because of the near-river location and low rainfall infiltration into the ground. In this study, the spatial and temporal variation of GWL was analyzed, and a GWL prediction model based on river stage was proposed. For this purpose, a series of the finite-element (FE) analyses were performed considering various geological and hydrological conditions. The spatial and temporal responses of GWL to river stage from the analyses were quantified for various permeability and river stage conditions. Based on results of the FE analyses, a correlation model between GWL and river stage was established. The model parameters were evaluated and given in forms of design equations. The proposed method provides a simple and effective way for predicting GWL based on river stage, without an elaborate modeling process and sophisticated numerical scheme that requires heavy computation efforts. To check the validity of the proposed GWL prediction method, a test site was selected and adopted into the comparison. The predicted GWL using the proposed method indicated close agreement with the measured GWL.

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