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Novel Applications of Surface Water–Groundwater Modeling

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: closed (23 July 2024) | Viewed by 17898

Special Issue Editors


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Guest Editor
Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Gyeonggi-do, Republic of Korea
Interests: integrated surface water–groundwater modeling; hydrologic modeling; SWAT-MODFLOW
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Gyeonggi-do, Republic of Korea
Interests: coupled flow and transport modeling; seawater intrusion; nonlinear groundwater problems; MODFLOW; MT3D; SEAWAT; GALDIT
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Civil & Environmental Engineering, Colorado State University, Fort Collins, CO, USA
Interests: groundwater hydrology; coupled surface/subsurface hydrologic modeling; contaminant transport in watershed systems; SWAT; SWAT+; SWAT-MODFLOW
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, a surface water–groundwater combination model has been developed and applied in various ways. However, each model has different characteristics and different purposes of interpretation. The purpose of this Special Issue is to seek deeper insights by collecting new applications of integrated models that are developed for various purposes. These can include river–groundwater interactions, the reduction in river water due to groundwater withdrawal, the reduction in groundwater level due to a decrease in river water volume, and evaluation of the water balance of the watershed. In addition, it is expected that the connection modeling between the flow of groundwater–surface water and solute transport will be important. The groundwater-dependent ecosystem and hyporheic flow modeling are two of the main topics.

Dr. Il-Moon Chung
Dr. Sun Woo Chang
Dr. Ryan Bailey
Guest Editors

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Keywords

  • surface water
  • groundwater
  • interactions
  • coupled model
  • hyporheic zone

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Published Papers (8 papers)

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Research

15 pages, 5481 KiB  
Article
Development and Application of a New Open-Source Integrated Surface–Subsurface Flow Model in Plain Farmland
by Hai Yang, Quanping Zhou, Yuehua Jiang, Lili Hou, Hui Yang and Qiuju Qi
Water 2024, 16(11), 1528; https://doi.org/10.3390/w16111528 - 26 May 2024
Viewed by 797
Abstract
Accurately characterizing rainfall runoff processes in plain farmland, especially at the plot scale with significant micro-topographic features, has presented challenges. Integrated surface–subsurface flow models with high-precision surface flow modules are appropriate tools, yet open-source versions are rare. To address this gap, we proposed [...] Read more.
Accurately characterizing rainfall runoff processes in plain farmland, especially at the plot scale with significant micro-topographic features, has presented challenges. Integrated surface–subsurface flow models with high-precision surface flow modules are appropriate tools, yet open-source versions are rare. To address this gap, we proposed an open-source integrated surface–subsurface flow model called the FullSWOF-Plain model, in which the one-dimensional subsurface module Hydrus-1D was integrated with a modified two-dimensional surface water flow module (FullSWOF-2D) using the sequential head method. Various experimental scenarios were simulated to validate the model’s performance, including two outflow cases (i.e., 1D and 2D) without infiltration, a classical one-dimensional infiltration case, and two typical rainfall events at the experimental field. The results demonstrate the accuracy of this proposed model, with the Nash–Sutcliffe efficiency (NSE) of the simulated discharge exceeding 0.90 in the experimental field case and the root mean squared error (RMSE) values for soil moisture at five depths consistently below 0.03 cm3/cm3. However, we observed a lag in the simulated response time of soil moisture due to the neglect of preferential flow. The micro-topography significantly influenced ponding time and ponding areas. Lower local terrain normally experienced earlier surface ponding. Scattered surface ponding water first occurred in the ditch and followed in the relatively low areas in the main field. The concentration process of surface runoff exhibited hierarchical characteristics, with the drainage ditch contributing the most discharge initially, followed by the connection of scattered puddles in the main field, draining excess surface water to the ditch through rills. This quantitative study sheds light on the impact of micro-topography on surface runoff in plain farmland areas. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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34 pages, 11722 KiB  
Article
Mapping Prospects for Artificial Groundwater Recharge Utilizing Remote Sensing and GIS Methods
by Dheeraj Mohan Gururani, Yogendra Kumar, Salwan Ali Abed, Vinod Kumar, Dinesh Kumar Vishwakarma, Nadhir Al-Ansari, Kanwarpreet Singh, Alban Kuriqi and Mohamed A. Mattar
Water 2023, 15(22), 3904; https://doi.org/10.3390/w15223904 - 8 Nov 2023
Cited by 6 | Viewed by 3801
Abstract
The indiscriminate use of groundwater and its overexploitation has led to a significant decline in groundwater resources in India, making it essential to identify potential recharge zones for aquifer recharge. A study was conducted to determine such potential recharge zones in the Nandhour-Kailash [...] Read more.
The indiscriminate use of groundwater and its overexploitation has led to a significant decline in groundwater resources in India, making it essential to identify potential recharge zones for aquifer recharge. A study was conducted to determine such potential recharge zones in the Nandhour-Kailash River watershed. The study area included 1481 streams divided into 12 sub-basins (SWS). The results show that the downstream Saraunj sub-basins (SWS-11) and Odra sub-basins (SWS-12) were high priority and required immediate soil and water conservation attention. Sub catchments Lobchla West (SWS-4), Deotar (SWS-5), Balot South (SWS-8), Nandhour (SWS-9), and Nakoliy (SWS-10) had medium priority and were designated for moderate soil erosion and degradation. In contrast, sub-catchments Aligad (SWS-1), Kundal (SWS-2), Lowarnala North (SWS-3), Bhalseni (SWS-6), and Uparla Gauniyarao (SWS-7) had low priority, indicating a low risk of soil erosion and degradation. Using the existing groundwater level data, the potential map of groundwater was validated to confirm its validity. According to the guidelines provided by the Integrated Mission for Sustainable Development (IMSD), the results of the groundwater potential zones for good to very good zones have been integrated at the slope and stream order. In a 120.94 km2 area with a slope of 0–5% in first-order streams, 36 ponds were proposed, and in a 218.03 km2 area with a slope of 15% in first- to fourth-order streams, 105 retention dams were proposed and recognized as possible sites for artificial groundwater recharge. The proposed water harvesting structure may aid in continuously recharging these zones and benefit water resource managers and planners. Thus, various governmental organizations can use the results to identify possible future recharge areas. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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13 pages, 3807 KiB  
Article
Estimation of Streamflow Depletion Caused by Groundwater Withdrawal in the Bokhacheon Watershed in South Korea Using the Modified SWAT Model
by Jeongwoo Lee, Jeong-Eun Lee and Il-Moon Chung
Water 2023, 15(19), 3336; https://doi.org/10.3390/w15193336 - 22 Sep 2023
Viewed by 1370
Abstract
Understanding the effects of groundwater withdrawal on streamflow depletion is important for effectively managing water resources. The Soil and Water Assessment Tool (SWAT) model has a groundwater module to calculate the groundwater budget and groundwater discharge. However, the water pumped from the aquifer [...] Read more.
Understanding the effects of groundwater withdrawal on streamflow depletion is important for effectively managing water resources. The Soil and Water Assessment Tool (SWAT) model has a groundwater module to calculate the groundwater budget and groundwater discharge. However, the water pumped from the aquifer is not considered in the SWAT module that estimates groundwater discharge. Therefore, this module was modified to consider the impact of groundwater pumping on the changes in groundwater discharge in the Bokhacheon watershed, South Korea. The model’s water transfer module was improved to allow water from the aquifer to be transferred to destination locations, such as residential, industrial, and agricultural lands. Using the modified SWAT, streamflow responses to groundwater extraction were simulated for 2011–2019. The groundwater withdrawal induced decreases of 14.6 and 24.2% in low and drought flows, respectively, at the watershed’s outlet. The groundwater withdrawals decreased groundwater flow and total water yield by 23.5% and 9.8%, respectively, and increased surface flow, lateral flow, percolation, soil water, and evapotranspiration owing to the increased soil moisture resulting from the partial re-infiltration of the groundwater pumped for agricultural irrigation. The modified SWAT can effectively estimate streamflow depletion resulting from groundwater pumping without extensive hydrogeological input data and computational time. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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13 pages, 1670 KiB  
Article
Solution to the Unsteady Seepage Model of Phreatic Water with Linear Variation in the Channel Water Level and Its Application
by Dan Wu, Yuezan Tao, Jie Yang and Bo Kang
Water 2023, 15(15), 2834; https://doi.org/10.3390/w15152834 - 5 Aug 2023
Viewed by 921
Abstract
For a semi-infinite aquifer controlled by a river channel boundary, when the Laplace transform is used to solve a one-dimensional unsteady seepage model of phreatic water while considering the influence of the vertical water exchange intensity ε with the change in the river [...] Read more.
For a semi-infinite aquifer controlled by a river channel boundary, when the Laplace transform is used to solve a one-dimensional unsteady seepage model of phreatic water while considering the influence of the vertical water exchange intensity ε with the change in the river channel water level f(t), a complicated and tedious integral transformation process is required. By replacing f(t) with an operator, this study first derived the analytic formula of the ε term based on the properties of the Laplace transform without the direct participation of f(t) in the transformation. By using f(t) in the form of several types of linear functions, the Laplace transform and inverse transform laws were summarized. The analytical solution to the problem was easily obtained by applying the “integral property” of the transformation to the linear function term with time t. The relative error between the numerical solution and the analytical solution of the example was less than 0.2%, which verified the rationality of the model linearization method and the reliability of the analytical solution. For different boundary conditions, the process of establishing and applying the inflection point method and the curve-fitting method for calculating the model parameters by using dynamic monitoring data for phreatic water is presented with examples. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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19 pages, 6799 KiB  
Article
Assessment of Spatiotemporal Groundwater Recharge Distribution Using SWAT-MODFLOW Model and Transient Water Table Fluctuation Method
by Hiyaw Hatiya Ware, Tarekegn Dejen Mengistu, Bisrat Ayalew Yifru, Sun Woo Chang and Il-Moon Chung
Water 2023, 15(11), 2112; https://doi.org/10.3390/w15112112 - 2 Jun 2023
Cited by 4 | Viewed by 3195
Abstract
Recharge is a crucial section of water balance for both surface and subsurface models in water resource assessment. However, quantifying its spatiotemporal distribution at a regional scale poses a significant challenge. Empirical and numerical modeling are the most commonly used methods at the [...] Read more.
Recharge is a crucial section of water balance for both surface and subsurface models in water resource assessment. However, quantifying its spatiotemporal distribution at a regional scale poses a significant challenge. Empirical and numerical modeling are the most commonly used methods at the watershed scales. However, integrated models inherently contain a vast number of unknowns and uncertainties, which can limit their accuracy and reliability. In this work, we have proposed integrated SWAT-MODFLOW and Transient Water Table Fluctuation Method (TWTFM) to evaluate the spatiotemporal distribution of groundwater recharge in Anyang watershed, South Korea. Since TWTFM also uses SWAT model percolation output data, calibration was performed for individual models and a coupled model. The coupled model was calibrated using daily streamflow and hydraulic head. The SWAT-MODFLOW model performed well during the simulation of streamflow compared to the SWAT model. The study output showed that the study watershed had significant groundwater recharge variations during the simulated period. A significant amount of recharge happens in the wet season. It contributes a significant amount of the average annual precipitation of the region. The direct flow components (surface and lateral) showed significant contributions when the water balance components were evaluated in the region. TWTFM showed a glimpse to estimate recharge, which requires representative monitoring wells in the study region. Comprehensively, the SWAT-MODFLOW model estimated groundwater recharge with reasonable accuracy in the region. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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21 pages, 6652 KiB  
Article
Machine Learning Algorithms for the Estimation of Water Quality Parameters in Lake Llanquihue in Southern Chile
by Lien Rodríguez-López, David Bustos Usta, Lisandra Bravo Alvarez, Iongel Duran-Llacer, Andrea Lami, Rebeca Martínez-Retureta and Roberto Urrutia
Water 2023, 15(11), 1994; https://doi.org/10.3390/w15111994 - 24 May 2023
Cited by 7 | Viewed by 2449
Abstract
The world’s water ecosystems have been affected by various human activities. Artificial intelligence techniques, especially machine learning, have become an important tool for predicting the water quality of inland aquatic ecosystems. As an excellent biological indicator, chlorophyll-a was studied to determine the state [...] Read more.
The world’s water ecosystems have been affected by various human activities. Artificial intelligence techniques, especially machine learning, have become an important tool for predicting the water quality of inland aquatic ecosystems. As an excellent biological indicator, chlorophyll-a was studied to determine the state of water quality in Lake Llanquihue, located in southern Chile. A 31-year time series (1989 to 2020) of data collected in situ was used to determine the evolution of limnological parameters at eight spaced stations covering all of the main points of the lake, and the year, month, day, and hour time intervals were selected. Using machine learning techniques, out of eight estimation algorithms that were applied with real data to estimate chlorophyll-a, three models showed better performance (XGBoost, LightGBM, and AdaBoost). The results for the best models show excellent performance, with a coefficient of determination between 0.81 and 0.99, a root-mean-square error of between 0.03 ug/L and 0.46 ug/L, and a mean bias error of between 0.01 and 0.27 ug/L. These models are scalable and applicable to other lake systems of interest that present similar conditions and can support decision making related to water resources. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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23 pages, 5826 KiB  
Article
Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error: Implications for Climate Change Impact Analysis of Integrated Watershed Models
by Eunhee Lee, Hyeonju Lee, Dongkyu Park, Hyoun-Tae Hwang and Changhui Park
Water 2023, 15(10), 1880; https://doi.org/10.3390/w15101880 - 16 May 2023
Cited by 1 | Viewed by 1707
Abstract
We investigated the potential impact of observation error on the calibration performance of an integrated watershed model. A three-dimensional integrated model was constructed using HydroGeoSphere and applied to the Sabgyo watershed in South Korea to assess the groundwater–surface water interaction process. During the [...] Read more.
We investigated the potential impact of observation error on the calibration performance of an integrated watershed model. A three-dimensional integrated model was constructed using HydroGeoSphere and applied to the Sabgyo watershed in South Korea to assess the groundwater–surface water interaction process. During the model calibration, three different weighting schemes that consider observation error variances were applied to the parameter estimation tool (PEST). The applied weighting schemes were compared with the results from stochastic models, in which observation errors from surface discharges were considered a random variable. Based on the calibrated model, the interactions between groundwater and surface water were predicted under different climate change scenarios (RCP). Comparisons of calibration performance between the different models showed that the observation-error-based weighting schemes contributed to an improvement in the model parameterization. Analysis of the exchange flux between groundwater and surface water highlighted the significance of groundwater in delaying the hydrological response of integrated water systems. Predictions based on different RCP scenarios suggested the increasing role of groundwater in watershed dynamics. We concluded that the comparison of different weighting schemes for the determination of error covariance could contribute to an improved characterization of watershed processes and reduce the model uncertainty arising from observation errors. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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17 pages, 5637 KiB  
Article
A Case Study: Groundwater Level Forecasting of the Gyorae Area in Actual Practice on Jeju Island Using Deep-Learning Technique
by Deokhwan Kim, Cheolhee Jang, Jeonghyeon Choi and Jaewon Kwak
Water 2023, 15(5), 972; https://doi.org/10.3390/w15050972 - 3 Mar 2023
Cited by 6 | Viewed by 2575
Abstract
As a significant portion of the available water resources in volcanic terrains such as Jeju Island are dependent on groundwater, reliable groundwater level forecasting is one of the important tasks for efficient water resource management. This study aims to propose deep-learning-based methods for [...] Read more.
As a significant portion of the available water resources in volcanic terrains such as Jeju Island are dependent on groundwater, reliable groundwater level forecasting is one of the important tasks for efficient water resource management. This study aims to propose deep-learning-based methods for groundwater level forecasting that can be utilized in actual management works and to assess their applicability. The study suggests practical forecasting methodologies through the Gyorae area of Jeju Island, where the groundwater level is highly volatile and unpredictable. To this end, the groundwater level data of the JH Gyorae-1 point and a total of 12 kinds of daily hydro-meteorological data from 2012 to 2021 were collected. Subsequently, five factors (i.e., mean wind speed, sun hours, evaporation, minimum temperature, and daily precipitation) were selected as hydro-meteorological data for groundwater level forecasting through cross-wavelet analysis between the collected hydro-meteorological data and groundwater level data. The study simulated the groundwater level of the JH Gyorae-1 point using the long short-term memory (LSTM) model, a representative deep-learning technique, with the selected data to show that the methodology is adequately applicable. In addition, for its better utilization in actual practice, the study suggests and analyzes (i) a derivatives-based groundwater level learning model which is defined as derivatives-based learning to forecast derivatives (gradients) of the groundwater level, not the target groundwater time series itself, and (ⅱ) an ensemble forecasting methodology in which groundwater level forecasting is performed repetitively with short time intervals. Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
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