Coupled SVAT–groundwater model for water resources simulation in irrigated alluvial plains

Facchi, A.; Ortuani, B.; Maggi, D.; Gandolfi, Claudio

doi:10.1016/j.envsoft.2003.11.008

Cited by 55 publications

(43 citation statements)

References 13 publications

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“…The soil water model ALHyMUS (Facchi et al, 2004;Gandolfi et al, 2006) is based on a non-linear reservoir cascade scheme, including two reservoirs in the root-zone and one (or more) additional reservoir(s) extending from the root-zone to the groundwater table. The first reservoir represents the upper part of the soil profile in which infiltration, evaporation and percolation to the subsequent reservoir take place.…”

Section: Alhymus Modelmentioning

confidence: 99%

“…In order to further explore all these issues, in this study data collected in an intensive monitoring campaign were used to: i) compare five direct and indirect methods for deriving the values of soil hydraulic parameters and ii) evaluate the effect of the uncertainty in the determination of these parameters with respect to the resulting uncertainty in the outputs of two hydrological models of different complexity: SWAP (Kroes and van Dam, 2003) based on the numerical solution of the Richards equation, and ALHyMUS (Facchi et al, 2004;Gandolfi et al, 2006) based on a reservoir cascade scheme. Simulations were run for each model and each parameter set using inputs and crop parameters measured in a 10 ha maize field.…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Baroni

Facchi

Gandolfi

et al. 2010

Hydrol. Earth Syst. Sci.

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Abstract. Data of soil hydraulic properties forms often a limiting factor in unsaturated zone modelling, especially at the larger scales. Investigations for the hydraulic characterization of soils are time-consuming and costly, and the accuracy of the results obtained by the different methodologies is still debated. However, we may wonder how the uncertainty in soil hydraulic parameters relates to the uncertainty of the selected modelling approach. We performed an intensive monitoring study during the cropping season of a 10 ha maize field in Northern Italy. The data were used to: i) compare different methods for determining soil hydraulic parameters and ii) evaluate the effect of the uncertainty in these parameters on different variables (i.e. evapotranspiration, average water content in the root zone, flux at the bottom boundary of the root zone) simulated by two hydrological models of different complexity: SWAP, a widely used model of soil moisture dynamics in unsaturated soils based on Richards equation, and ALHyMUS, a conceptual model of the same dynamics based on a reservoir cascade scheme. We employed five direct and indirect methods to determine soil hydraulic parameters for each horizon of the experimental profile. Two methods were based on a parameter optimization of: a) laboratory measured retention and hydraulic conductivity data and b) field measured retention and hydraulic conductivity data. The remaining three methods were based on the application of widely used Pedo-Transfer Functions: c) Rawls and Brakensiek, d) HYPRES, and e) ROSETTA. Simulations were performed using meteorological, irrigation and crop data measured at the experimental site during the period June -October 2006. Results showed a wide range of soil hydraulic parameter values generated with the different Correspondence to: G. Baroni (gabriele.baroni@email.it) methods, especially for the saturated hydraulic conductivity K sat and the shape parameter α of the van Genuchten curve. This is reflected in a variability of the modeling results which is, as expected, different for each model and each variable analysed. The variability of the simulated water content in the root zone and of the bottom flux for different soil hydraulic parameter sets is found to be often larger than the difference between modeling results of the two models using the same soil hydraulic parameter set. Also we found that a good agreement in simulated soil moisture patterns may occur even if evapotranspiration and percolation fluxes are significantly different. Therefore multiple output variables should be considered to test the performances of methods and models.

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Section: Alhymus Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Baroni

Facchi

Gandolfi

et al. 2010

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…Especially, it used the extension module of 3D Analyst to link the database. Also GIS was used to link two models such as a conceptual vadose zone model SWAT and MODFLOW for the total basin management (Sophocleous et al 1999;Facchi et al 2004). Carrera-Hernandez and Gaskin (2006) created a module in the Open Source Geographic Resources Analysis Support System (GRASS) GIS to integrate it with the finite difference groundwater flow model MOD-FLOW which are both open source software.…”

Section: Introductionmentioning

confidence: 99%

Application of MODFLOW and geographic information system to groundwater flow simulation in North China Plain, China

et al. 2007

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MODFLOW is a groundwater modeling program. It can be compiled and remedied according to the practical applications. Because of its structure and fixed data format, MODFLOW can be integrated with Geographic Information Systems (GIS) technology for water resource management. The North China Plain (NCP), which is the politic, economic and cultural center of China, is facing with water resources shortage and water pollution. Groundwater is the main water resource for industrial, agricultural and domestic usage. It is necessary to evaluate the groundwater resources of the NCP as an entire aquifer system. With the development of computer and internet information technology it is also necessary to integrate the groundwater model with the GIS technology. Because the geological and hydrogeological data in the NCP was mainly in MAPGIS format, the powerful function of GIS of disposing of and analyzing spatial data and computer languages such as Visual C and Visual Basic were used to define the relationship between the original data and model data. After analyzing the geological and hydrogeological conditions of the NCP, the groundwater flow numerical simulation modeling was constructed with MODFLOW. On the basis of GIS, a dynamic evaluation system for groundwater resources under the internet circumstance was completed. During the process of constructing the groundwater model, a water budget was analyzed, which showed a negative budget in the NCP. The simulation period was from 1 January 2002 to 31 December 2003. During this period, the total recharge of the groundwater system was 49,374 9 10 6 m 3 and the total discharge was 56,530 9 10 6 m 3 the budget deficit was -7,156 9 10 6 m 3 . In this integrated system, the original data including graphs and attribution data could be stored in the database. When the process of evaluating and predicting groundwater flow was started, these data were transformed into files that the core program of MODFLOW could read. The calculated water level and drawdown could be displayed and reviewed online.

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“…As part of many predictive assessments, simulation modelling has been used to investigate various subsystems, especially for the natural environment, and there is a growing body of literature that links water resources models to water quality, ecological and climate variables to derive impacts on the various parts of the environment (McDonnell, 2000;Manoli et al, 2001;Cai et al, 2003;Facchi et al, 2004). In some work the groundwater and surface water systems have been integrated (Hattermann et al, 2004).…”

Section: Deriving Information and Knowledge From Datamentioning

confidence: 99%

Challenges for Integrated Water Resources Management: How Do We Provide the Knowledge to Support Truly Integrated Thinking?

McDonnell

2008

International Journal of Water Resources Development

127

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Coupled SVAT–groundwater model for water resources simulation in irrigated alluvial plains

Cited by 55 publications

References 13 publications

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Uncertainty in the determination of soil hydraulic parameters and its influence on the performance of two hydrological models of different complexity

Application of MODFLOW and geographic information system to groundwater flow simulation in North China Plain, China

Challenges for Integrated Water Resources Management: How Do We Provide the Knowledge to Support Truly Integrated Thinking?

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