Enhanced Data Utilization Approach to Improve the Prediction Performance of Groundwater Level Using Semianalytical and Data Process Models-Reference-Cited by-同舟云学术

Enhanced Data Utilization Approach to Improve the Prediction Performance of Groundwater Level Using Semianalytical and Data Process Models

Published:2022-10 Issue:10 Volume:27 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kim Incheol¹,Lee Junhwan²^ORCID

Affiliation:

1. Research Associate, Dept. of Civil and Environmental Engineering, Univ. of Nebraska–Lincoln, Lincoln, NE 68588.

2. Professor, School of Civil and Environmental Engineering, Yonsei Univ., Yonseiro 50, Seodeamun-gu, Seoul 120-749, Korea (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002201

Reference68 articles.

1. A wavelet neural network conjunction model for groundwater level forecasting

2. ALOS (Advanced Land Observing Satellite). 2017. “High-resolution land-use land cover map.” Accessed July 2 2017. https://www.eorc.jaxa.jp/ALOS/jp/index_j.htm.

3. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models

4. Influence of groundwater on the bearing capacity of shallow foundations

5. Analytical Study of Water Table Fluctuation in Unconfined Aquifers due to Varying Bed Slopes and Spatial Location of the Recharge Basin

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characterizing coefficient of permeability based on response of groundwater level to river stage using regional database;Environmental Earth Sciences;2024-01-20

2. A critical review on groundwater level depletion monitoring based on GIS and data-driven models: Global perspectives and future challenges;HydroResearch;2024

3. Characterizing the hydraulic conductivity of soil based on the moving average of precipitation and groundwater level using a regional database;AQUA — Water Infrastructure, Ecosystems and Society;2023-08-01