Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Wu, Ray Shyan; Shih, Dong Sin

doi:10.3319/tao.2017.10.26.01

Cited by 11 publications

(8 citation statements)

References 33 publications

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“…By manually adjusting MODFLOW parameter values to test their impact on model outputs, storage coefficients (SY and SS), horizontal hydraulic conductivity (HK), and two drain conductance (COND) were deemed as the potential sensitive parameters, with the value of HANI (the ratio of hydraulic conductivity along columns to hydraulic conductivity along rows) always being 1 and the values of VKA (the ratio of horizontal to vertical hydraulic conductivity) fixed being 3, 5, or 10 from the original MODFLOW set-up. For MODFLOW parameters, the originally calibrated and modified parameter values in the steady-state MODFLOW version were used as the initial parameter values in PEST, and a small range around the initial values was assigned as the parameter range according to the experience from manual calibration and representative values (derived from [72]).…”

Section: Swat-modflow Calibrationmentioning

confidence: 99%

Quantifying the streamflow response to groundwater abstractions for irrigation or drinking water at catchment scale using SWAT and SWAT–MODFLOW

et al. 2020

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Background Groundwater abstraction can cause a decline in the water table, and thereby affects surface streamflow connected to the aquifer, which may impair the sustainability of both the water resource itself and the ecosystem that it supports. To quantify the streamflow response to groundwater abstractions for either irrigation or drinking water at catchment scale and compared the performance of the widely used semi-distributed hydrological model SWAT and an recently integrated surface–subsurface model SWAT–MODFLOW, we applied both SWAT and SWAT–MODFLOW to a groundwater-dominated catchment in Denmark and tested a range of groundwater abstraction scenarios. Results To accommodate the study area characteristics, the SWAT–MODFLOW model complex was further developed to enable the Drain package and an auto-irrigation routine to be used. A PEST (parameter estimation by sequential testing)-based approach which enables simultaneous calibration of SWAT and MODFLOW parameters was developed to calibrate SWAT–MODFLOW. Both models demonstrated generally good statistical performance for the temporal pattern of streamflow, with better R2 and NSE (Nash–Sutcliffe efficiency) for SWAT–MODFLOW but slightly better PBIAS (percent bias) for SWAT. Both models indicated that drinking water abstractions caused some degree of streamflow depletion, while abstractions for returned irrigation led to a slight total flow increase, but may influence the hydrology outside the catchment. However, the streamflow decrease caused by drinking water abstractions simulated by SWAT was unrealistically low, and the streamflow increase caused by irrigation abstractions was exaggerated compared with SWAT–MODFLOW. Conclusion We conclude that the SWAT–MODFLOW model produces much more realistic signals relative to the SWAT model when quantifying the streamflow response to groundwater abstractions for irrigation or drinking water; hence, it has great potential to be a useful tool in the management of water resources in groundwater-dominated catchments. With further development of SWAT–MODFLOW and the PEST-based approach developed for its calibration, this study would broaden the SWAT–MODFLOW application and benefit catchment managers.

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Section: Swat-modflow Calibrationmentioning

confidence: 99%

Quantifying the streamflow response to groundwater abstractions for irrigation or drinking water at catchment scale using SWAT and SWAT–MODFLOW

et al. 2020

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“…WASH123D has been applied to many regionally-significant projects and was chosen by the U.S. Army Corps as the core computational code for coast and watershed studies. A revamped version of the WASH123D model has also been applied to many flood mitigation and groundwater problems [27][28][29][30].…”

Section: Groundwater Model: Wash123dmentioning

confidence: 99%

“…Figure 3 illustrates all the hydrogeological units indicated above, and Table 1 lists these units and associated hydraulic conductivity values based on the pumping tests conducted by the CGS. The soil retention curves for the unsaturated zone were generated using the power-law-related model and assumed that the saturated hydraulic conductivity of the 3D subsurface flow in the horizontal direction was 10-times that in the vertical direction [28,30]. Regarding the surface parameter, Manning's coefficients (Mn) for the rivers was referenced to field investigations conducted by the WRA.…”

Section: Hydrogeological Analysismentioning

confidence: 99%

Statistical and Numerical Assessments of Groundwater Resource Subject to Excessive Pumping: Case Study in Southwest Taiwan

Shih

Chen

et al. 2019

Water

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Groundwater, a salient water resource in Taiwan, has been subject to incessant and excessive pumping, inducing serious regional land subsidence and seawater intrusion. This study aims at assessing how excessive pumping impacts groundwater variations over the Pingtung Alluvial Plain (PAP) in Southwest Taiwan using both statistical and numerical techniques. We apply nonparametric methods to analyze the changing point and annual trend in various hydro-meteorological time series (e.g., rainfall, temperature, and groundwater levels (GLs)). Afterwards, we employ an integrated surface-subsurface model referred to as WASH123D to simulate GLs under the pumping-free scenario; any discrepancies identified between simulated and observed GLs could be an indicator of unregulated/illegal pumping. We find that annual GLs exhibit a significant increasing (decreasing) trend in the western (eastern) PAP. Our numerical experiment reveals diverging trends in simulated and observed GLs, mostly at the downstream of all the major tributaries, suggesting the consequence of unregulated/illegal pumping. Furthermore, upstream pumping may reduce lateral flow towards the downstream coastal area, triggering land subsidence in remote locations.

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“…14 The HEC-HMS it is one the most widely used and documented hydrological model, run several different studies. [15][16][17][18]…”

Section: Hydrological Modeling (Hec-hms)mentioning

confidence: 99%

The influence of spatial discretization on HEC-HMS modelling: a case study

Jhs¹,

Alt²,

Ad³

et al. 2019

IJH

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The spatial discretization of a watershed can directly influence the derived outputs of hydrological models? Conclusive guidelines regarding the proper level of spatial discretization have not yet been established due to the great diversity of models, calibrated parameters and topographic and geospatial characteristics of study areas. The objective of this study was to investigate the influence of different levels of watershed spatial discretization (2, 4, 8, 16 and 32 sub basins) on the HEC-HMS model's performance, considering the Environmental Protection Area (APA) of the Uberaba River Basin region. The SCS-CN method was applied to the different levels of spatial discretization for two distinctive periods (calibration and validation) and its performance was evaluated according to seven goodness-of-fit measures: MAE, RMSE, RSR, NSE, PBIAS, R2 and KGE. The results obtained from a qualitative and quantitative perspective, based on the visual analysis of the simulated hydrographs and the obtained goodness-of-fit values; indicate the HEC-HMS model represents the hydrological processes of the basin under investigation efficiently, regardless of the level of spatial discretization. The results suggest the subdivision of a watershed does not result in improvement of the HEC-HMS model's performance without significant differences in physiographic characteristics (slope, land use and types of soil). Considering its good performance for the study area, it is suggested the application of the HEC-HMS model for future works that aim to investigate the drainage capacity of the APA of the Uberaba River.

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Modeling Hydrological Impacts of Groundwater Level in the Context of Climate and Land Cover Change

Cited by 11 publications

References 33 publications

Quantifying the streamflow response to groundwater abstractions for irrigation or drinking water at catchment scale using SWAT and SWAT–MODFLOW

Quantifying the streamflow response to groundwater abstractions for irrigation or drinking water at catchment scale using SWAT and SWAT–MODFLOW

Statistical and Numerical Assessments of Groundwater Resource Subject to Excessive Pumping: Case Study in Southwest Taiwan

The influence of spatial discretization on HEC-HMS modelling: a case study

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