Modeling groundwater/surface-water interactions in an Alpine valley (the Aosta Plain, NW Italy): the effect of groundwater abstraction on surface-water resources

Stefania, Gennaro A.; Fumagalli, Letizia; Simonetto, Fulvio; Capodaglio, Pietro; Zanotti, Chiara; Bonomi, T

doi:10.1007/s10040-017-1633-x

Cited by 28 publications

(31 citation statements)

References 31 publications

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“…segment if the River (RIV) Package or the Streamflow Routing Package (SFR) is used (Wei et al, 2018). A number of studies have applied MODFLOW to assess the impact of groundwater abstraction on surface water resources (Sanz et al, 2011;May and Mazlan, 2014;Shafeeque et al, 2016;Stefania et al, 2018). However, MODFLOW does not simulate surface processes such as land-atmosphere interactions, agricultural management practices, and surface runoff (Lachaal et al, 2012;Surinaidu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water

Liu

Park

Bailey

et al. 2019

Preprint

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Abstract. Being able to account for temporal patterns of streamflow, the distribution of groundwater resources, as well as the interactions between surface water and groundwater is imperative for informed water resources management. We hypothesize that, when assessing the impacts of water abstractions on streamflow patterns, the benefits of applying a coupled catchment model relative to a lumped semi-distributed catchment model outweigh the costs of additional data requirement and computational resources. We applied the widely used semi-distributed SWAT model and the recently developed SWAT-MODFLOW model, which allows full distribution of the groundwater domain, to a Danish, lowland, groundwater-dominated catchment, the Uggerby River Catchment. We compared the performance of the two models based on the observed streamflow and assessed the simulated streamflow signals of each model when running four groundwater abstraction scenarios with real wells and abstraction rates. The SWAT-MODFLOW model complex was further developed to enable the application of the Drain Package of MODFLOW and to allow auto-irrigation on agricultural fields and pastures. Both models were calibrated and validated, and an approach based on PEST was developed and utilized to enable simultaneous calibration of SWAT and MODFLOW parameters. Both models demonstrated generally good performance for the temporal pattern of streamflow, albeit SWAT-MODFLOW performed somewhat better. In addition, SWAT-MODFLOW generates spatially explicit groundwater-related outputs, such as spatial-temporal patterns of water table elevation. In the abstraction scenarios analysis, both models indicated that abstraction for drinking water caused some degree of streamflow depletion, while abstraction for auto-irrigation led to a slight total flow increase (but a decrease of soil or aquifer water storages, which may influence the hydrology outside the catchment). In general, the simulated signals of SWAT-MODFLOW appeared more plausible than those of SWAT, and the SWAT-MODFLOW decrease in streamflow was much closer to the actual volume abstracted. The impact of drinking water abstraction on streamflow depletion simulated by SWAT was unrealistically low, and the streamflow increase caused by irrigation abstraction was exaggerated compared with SWAT-MODFLOW. We conclude that the further developed SWAT-MODFLOW model calibrated by PEST had a better hydrological simulation performance, wider possibilities for groundwater analysis, and much more realistic signals relative to the semi-distributed SWAT model when assessing the impacts of groundwater abstractions for either irrigation or drinking water on streamflow; hence, it has the potential to be a useful tool in the management of water resources in groundwater-affected catchments. However, this comes at the expense of higher computational demand and more time consumption.

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Section: Introductionmentioning

confidence: 99%

Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water

Liu

Park

Bailey

et al. 2019

Preprint

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“…Moreover, the number of wells, well depth, distance between wells, and distance between well and river should be optimized in combination with the water demand and the allowable drawdown of the groundwater level [12]. At present, the study methods of RWS mainly include analytical methods [13] and numerical simulation methods [14]. As a means of obtaining hydrogeological parameters and verifying results, pumping tests are useful [15], and tracer tests have also been widely used [16].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Fully-Penetrating Riverbank Filtration Well Scheme at a Fully-Penetrating River Based on Analytical Methods

Jiang

Zhu

et al. 2019

Water

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In order to maintain the sustainable development of pumping wells in riverbank filtration (RBF) and simultaneously minimize the possible negative effects induced, it is vital to design and subsequently optimize the engineering parameters scientifically. An optimizing method named Five-Step Optimizing Method was established by using analytic methods (Mirror-Image Method, Dupuit Equation and the Interference Well Group Method, etc.) systematically in this study considering both the maximum allowable drawdown of the groundwater level and the water demand as the constraint conditions, followed by a case study along the Songhua River of northeast China. It contained three parameters (number of wells, distance between wells, and distance between well and river) for optimizing in the method, in which the well type, depth and radius were beforehand designed and fixed, without the need of optimizing. The interference between wells was found to be a decisive factor that significantly impacts the optimizing effort of all the three parameters. The distance between the well and the river was another decisive factor impacting the recharge from the river and subsequently, the well water yield. There would be more than one optional scheme sometimes in the optimized result, while it's not yet difficult in practice to single out the optimal one considering both the field setting and the water demand. The established method proved to be applicable in the case study.

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“…Improper management and over-exploitation of these water resource components influence the sustainability of both the water resource itself and also the ecosystems that it supports. Groundwater abstraction can cause a decline of the water table, and it thereby directly affects surface water bodies connected to the aquifer (Jeppesen et al, 2015;Vainu and Terasmaa, 2016;Stefania et al, 2018). For rivers in which a considerable portion of the streamflow is base flow, this can have a strong influence on the general flow and deteriorate the function of river ecosystems (Johansen et al, 2011;Pardo and Garcia, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…MODFLOW outputs include groundwater hydraulic head or drawdown at the center of each grid cell as well as groundwater flow rates to/from each stream segment if the River (RIV) Package or the Streamflow Routing Package (SFR) is used (Wei et al, 2018). A number of studies have applied MODFLOW to assess the impact of groundwater abstraction on surface water resources (Sanz et al, 2011;May and Mazlan, 2014;Shafeeque et al, 2016;Stefania et al, 2018). However, MODFLOW does not simulate surface processes such as land-atmosphere interactions, agricultural management practices, and surface runoff (Lachaal et al, 2012;Surinaidu et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Response to Reviwer's comment #2

Liu¹

2019

Preprint

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We compared the performance of SWAT and SWAT-MODFLOW and assessed the simulated streamflow signals in response to a range of groundwater abstraction scenarios targeted for irrigation and drinking water.  The SWAT-MODFLOW complex was further developed to enable the application of the Drain Package and an auto-irrigation routine.  A PEST-based approach was developed to calibrate the coupled SWAT-MODFLOW.  The SWAT-MODFLOW model produced more realistic results on groundwater abstraction effects on streamflow.

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Modeling groundwater/surface-water interactions in an Alpine valley (the Aosta Plain, NW Italy): the effect of groundwater abstraction on surface-water resources

Cited by 28 publications

References 31 publications

Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water

Comparing SWAT with SWAT-MODFLOW hydrological simulations when assessing the impacts of groundwater abstractions for irrigation and drinking water

Design and Optimization of a Fully-Penetrating Riverbank Filtration Well Scheme at a Fully-Penetrating River Based on Analytical Methods

Response to Reviwer's comment #2

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