Evaluation of groundwater recharge estimation methods in a watershed in the Brazilian Savannah

AJ Cambraia Neto, LN Rodrigues - Environmental Earth Sciences, 2020 - Springer
Abstract The Brazilian Savannah Biome is strategic for Brazilian agriculture and for
maintaining Brazil's hydrological balance, contributing to river flows from eight of the twelve …

Enhanced data utilization approach to improve the prediction performance of groundwater level using semianalytical and data process models

I Kim, J Lee - Journal of Hydrologic Engineering, 2022 - ascelibrary.org
Methods for the estimation of groundwater level (GWL) are often based on knowledge-and
data-based approaches, which are largely affected by the representativeness of input …

Characterizing the hydraulic conductivity of soil based on the moving average of precipitation and groundwater level using a regional database

B Kim, G Roh, J Lee, J Yoon, J Lee - AQUA—Water Infrastructure …, 2023 - iwaponline.com
Hydraulic conductivity is an important geological and geotechnical characteristic, necessary
for flow-related problems and underground construction. In many countries, databases for …

Proposed correlation model for groundwater level prediction based on river stage considering changes in hydrological and geological conditions

I Kim, J Lee - Journal of Hydrologic Engineering, 2019 - ascelibrary.org
The groundwater level (GWL) is an important subsoil condition that affects water resource
management, soil contamination analysis, and infrastructure design. In this study, the spatial …

Characterizing future groundwater level based on precipitation and river stage considering climate change

B Kim, D Nam, J Lee - Theoretical and Applied Climatology, 2024 - Springer
Change in groundwater level (GWL) is an important consideration for establishing adaptive
strategies against climate change to ensure the sustainability of urban social infrastructure …

Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database

B Kim, J Lee, K Park, J Lee - Environmental Earth Sciences, 2024 - Springer
The coefficient of permeability (k) is an important soil property for various flow-related
problems and site characterization. In this study, a new method for estimating k is proposed …

Improvement of multi layer perceptron performance using combination of gradient descent and harmony search for prediction of ground water level

WJ Lee, EH Lee - Journal of Korea Water Resources Association, 2022 - koreascience.kr
Groundwater, one of the resources for supplying water, fluctuates in water level due to
various natural factors. Recently, research has been conducted to predict fluctuations in …

Analysis of groundwater level prediction performance with influencing factors by artificial neural network

I Kim, J Lee, J Kim, H Lee, J Lee - Journal of the Korean …, 2021 - koreascience.kr
Groundwater level (GWL) causes the stress state within soil and affects the bearing capacity
and the settlement of foundation. In this study, the analyses of influencing factors on GWL …

A Method Combining Seepage Theory and Model Simulation for the Identification of Potential Groundwater Resources

K Wang, DS Shih - Journal of Hydrologic Engineering, 2022 - ascelibrary.org
In recent years, climate change has caused extreme weather all over the world, including in
Taiwan. Rainfall in Taiwan is distributed unevenly in both time and space, leading to a …

The effect of seasonal input on predicting groundwater level using artificial neural network

I Kim, J Lee - Ecology and Resilient Infrastructure, 2018 - koreascience.kr
Artificial neural network (ANN) is a powerful model to predict time series data and have been
frequently adopted to predict groundwater level (GWL). Many researchers have also tried to …