Compilation simulation of surface water and groundwater resources using the SWAT-MODFLOW model for a karstic basin in Iran

Salmani, Haniyeh; Javadi, Saman; Eini, Mohammad Reza; Golmohammadi, Golmar

doi:10.1007/s10040-023-02620-x

Cited by 8 publications

(2 citation statements)

References 51 publications

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“…The research primarily focuses on active coal mining areas, − with less emphasis on the closure ones about groundwater pollution and environmental risk. The research on mine closures has also placed emphasis on groundwater levels, , water conservation, ,, chemical composition of groundwater, and the air pollution of surrounding. Such as, Kim et al put forward a simplified model-based program for the analysis and visualization of groundwater rebound in abandoned mines to prevent contamination of water and soils by acid mine drainage .…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Yang,

Liu,

Liu

et al. 2023

ACS Omega

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The WuMa River (WMR) watershed is located in Renhuai City, Guizhou Province of China, which is a first-class tributary of the Chishui River. The geochemical investigation mainly included the determination of groundwater pH, total hardness, total dissolution solid, major cationic and anionic, and the geochemical groundwater modeling. The principal component analysis (PCA) and Gibbs model were used to analyze the pollution type and geochemical composition. The geochemical investigation results show that the cations of groundwater are dominated by Ca 2+ and the anions are dominated by HCO 3 − ; therefore, two main hydrochemical types in the study area are identified as Ca. The chemical composition of groundwater in this area is mainly controlled by weathering of the carbonate rocks. The ion concentration of groundwater in the study area exhibited significant spatial variability between dry and wet seasons, while temporal changes of cationic and anionic concentrations exhibited irregularities. In PCA and FA analysis, PC1, PC2, and PC3 were extracted, which could explain 51.92, 26.98, and 12.61% of the total information, respectively. F1 explained 67.44% of the total variance, among which Ca 2+ , Mg 2+ , K + , SO 4 2− , and Cl − contributed the most among the factors and were the main factors controlling the chemical composition of groundwater. The relative error between the measured water level and the simulated water level is less than 2%, which meets the requirements of simulation accuracy. During the simulation period of the model, a total recharge of 339.05 × 10 4 m 3 was observed in the simulated area, primarily attributed to infiltration from rainfall. The total excretion amounted to 330.78 × 10 4 m 3 , primarily through evaporation, with a minor amount of lateral outflow. The migration pathway of pollutants in groundwater primarily follows the direction of groundwater flow while diffusing vertically. The migration range of the pollutant is in accordance with the direction of groundwater flow and extends along the larger hydraulic gradient, demonstrating consistency. The findings of this study serve as a reminder that the closure of coal mines can constitute a significant source of water pollution. Simultaneously, they offer empirical data and theoretical references for the simulation and prediction of groundwater contamination in enclosed coal mines.

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Section: Introductionmentioning

confidence: 99%

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Yang,

Liu,

Liu

et al. 2023

ACS Omega

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“…In this regard, physically based watershed-scale hydrological models, such as the Soil and Water Assessment Tool (SWAT) [13], Hydrologic Simulation Program-Fortran (HSPF) [14], and SWAT-Modular Groundwater Flow (SWAT-MODFLOW) model [15], have been essential tools for making decisions on watershed management strategies and policies due to their ability to simulate streamflow and water quality for a wide range of applications [16]. Among them, the SWAT-MODFLOW model is widely used to quantify the impact of water resource management scenarios, climate change and land-use change, and the hydrological cycle on spatiotemporal SW-GW interactions at various regional and watershed scales [15,[17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Hydrological Simulations in Paddy-Dominated Watersheds Using the Hourly SWAT-MODFLOW-PADDY Modeling Approach

et al. 2023

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Accurate hydrological simulations are crucial for managing water resources and promoting sustainable agriculture in submerged paddy agricultural watersheds. The SWAT-MODFLOW, which couples the Soil and Water Assessment Tool (SWAT) and the Modular Groundwater Flow (MODFLOW) model, is a widely used tool for hydrologic simulations that consider surface water and groundwater (SW-GW) interactions. However, it falls short of effectively simulating the hydrological processes of submerged rice paddy field areas. To address this, we developed the hourly SWAT-MODFLOW-PADDY model, which enables integrated surface and groundwater simulations and effectively represents the hydrological responses of submerged paddy fields to high-resolution rainfall data. Our findings demonstrated that the hourly SWAT-MODFLOW-PADDY model could dynamically simulate soil moisture and runoff patterns in submerged paddy fields. Notably, the developed model showed enhanced performance throughout the entire period for hourly flow in the watershed, with an average coefficient of determination (R2) of 0.75, Nash and Sutcliffe efficiency (NSE) of 0.76, and percent bias (PBIAS) of 13.22 compared to the original model (R2 = 0.62, NSE = 0.70, PBIAS = 48.21). The model’s performance in predicting water quality was improved, and it highlighted the significant impact of complex hydrological mechanisms within submerged paddy fields on the spatial distribution of groundwater recharge and stream water volumes exchanged through SW-GW interactions. Given these promising results, the SWAT-MODFLOW-PADDY model could be a valuable resource for managing submerged paddy-dominated agricultural watersheds across various climates and regions.

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Integrating geostatistical methods and neural networks for enhanced transmissivity mapping in the heterogeneous Annaba aquifer system (SE Algeria)

Hani,

Boudibi,

Bougherira

et al. 2024

Model. Earth Syst. Environ.

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Compilation simulation of surface water and groundwater resources using the SWAT-MODFLOW model for a karstic basin in Iran

Cited by 8 publications

References 51 publications

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Hydrodynamic Groundwater Modeling and Hydrochemical Conceptualization of the Closure Mining Area of the WuMa River Watershed of China

Enhanced Hydrological Simulations in Paddy-Dominated Watersheds Using the Hourly SWAT-MODFLOW-PADDY Modeling Approach

Integrating geostatistical methods and neural networks for enhanced transmissivity mapping in the heterogeneous Annaba aquifer system (SE Algeria)

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