A Deep Percolation Model for Estimating Ground-Water Recharge: Documentation of Modules for the Modular Modeling System of the U.S. Geological Survey

Vaccaro, J.J.

doi:10.3133/sir20065318

Cited by 15 publications

(13 citation statements)

References 12 publications

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“…These recharge estimates were about 5% larger than the estimates using the inverse calibration method. For verification of the finding by Vaccaro (), the lower BC was lowered to 30 m. The recharge estimate was within 0.1% the same of the estimate using the lower BC at 2 m over the 27 years period. The differences during the short time period were larger because the initial condition has a large impact as the soil moisture was initialized using field capacity.…”

Section: Resultsmentioning

confidence: 99%

Improved Recharge Estimation from Portable, Low‐Cost Weather Stations

et al. 2015

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Groundwater recharge estimation is a critical quantity for sustainable groundwater management. The feasibility and robustness of recharge estimation was evaluated using physical-based modeling procedures, and data from a low-cost weather station with remote sensor techniques in Southern Abbotsford, British Columbia, Canada. Recharge was determined using the Richards-based vadose zone hydrological model, HYDRUS-1D. The required meteorological data were recorded with a HOBO(TM) weather station for a short observation period (about 1 year) and an existing weather station (Abbotsford A) for long-term study purpose (27 years). Undisturbed soil cores were taken at two locations in the vicinity of the HOBO(TM) weather station. The derived soil hydraulic parameters were used to characterize the soil in the numerical model. Model performance was evaluated using observed soil moisture and soil temperature data obtained from subsurface remote sensors. A rigorous sensitivity analysis was used to test the robustness of the model. Recharge during the short observation period was estimated at 863 and 816 mm. The mean annual recharge was estimated at 848 and 859 mm/year based on a time series of 27 years. The relative ratio of annual recharge-precipitation varied from 43% to 69%. From a monthly recharge perspective, the majority (80%) of recharge due to precipitation occurred during the hydrologic winter period. The comparison of the recharge estimates with other studies indicates a good agreement. Furthermore, this method is able to predict transient recharge estimates, and can provide a reasonable tool for estimates on nutrient leaching that is often controlled by strong precipitation events and rapid infiltration of water and nitrate into the soil.

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Section: Resultsmentioning

confidence: 99%

Improved Recharge Estimation from Portable, Low‐Cost Weather Stations

et al. 2015

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“…Many methods have been presented to estimate recharge through the unsaturated zones. These may be broadly summarized as chemical methods (Abbott et al 2000;Gates et al 2008), physical methods (Cooper et al 1990;Gee et al 1994;Healy and Cook 2002), and model-based methods (Van der and Gehrels 1990;Van Dem et al 1997;Batelaan and Smedt 2001;Vaccaro 2007;U.S. Geological Survey 2008;Westenbroek et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Groundwater Recharge on the North China Plain

Tan

Cai

et al. 2013

Groundwater

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Groundwater recharge is an important component of the groundwater system. On the North China Plain (NCP), groundwater is the main water supply. Because of large-scale overexploitation, the water table has declined, which has produced severe adverse effects on the environment and ecosystem. In this article, tracer experiment and watershed model were used to calculate and analyze NCP groundwater recharge. In the tracer experiment, average recharge was 108 mm/year and recharge coefficient 0.16. With its improved irrigation, vegetation coverage and evapotranspiration modules, the INFIL3.0 model was used for calculation of groundwater recharge. Regional modeling results showed an average recharge of 102 mm/year and recharge coefficient 0.14, for 2001-2009. These values are very similar to those from the field tracer experiment. Influences in the two methods were analyzed. The results can provide an important reference for NCP groundwater recharge.

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“…Admittedly, these are not absolute solutions to the problems of simulating the streamflow in the study area. A model specifically designed to estimate percolation, such as the USGS Modular Modeling System Deep Percolation Model (Vaccaro, 2007), may be more suited to obtaining spatially variable estimates of percolation.…”

Section: Model Limitations and Future Model Improvementsmentioning

confidence: 99%

A Deep Percolation Model for Estimating Ground-Water Recharge: Documentation of Modules for the Modular Modeling System of the U.S. Geological Survey

Cited by 15 publications

References 12 publications

Improved Recharge Estimation from Portable, Low‐Cost Weather Stations

Improved Recharge Estimation from Portable, Low‐Cost Weather Stations

Characteristics of Groundwater Recharge on the North China Plain

Streamflow Simulations and Percolation Estimates Using the Soil and Water Assessment Tool for Selected Basins in North-Central Nebraska, 1940-2005

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