Modeling belowground water table fluctuations in the Everglades

Leonardo Noto, Dario Pumo, Fernando Miralles-Wilhem, Stefania Tamea, Dario Pumo, Ignacio Rodriguez-Iturbe

Risultato della ricerca: Article

7 Citazioni (Scopus)

Abstract

Humid lands, such as riparian zones, peatlands, and unsubmerged wetlands, areconsidered among the most biologically diverse of all ecosystems, providing a bountifulhabitat for a large number of plant and animal species. In such ecosystems, the water tabledynamics play a key role in major ecohydrological processes. The aim of the present studyis to test with field data a recent analytical model for the estimation of the long‐termprobability distribution of the belowground water table position in groundwater‐dependentenvironments. This model accounts for stochastic rainfall and processes such asinfiltration, root water uptake, water flow from/to an external water body, and capillaryfluxes. The water table model is tested using field data of groundwater levels recorded inthree different sites within the Everglades (Florida, USA). A sensitivity analysis of themodel to the soil and vegetation parameters is also carried out. After performing aprocedure to determinate appropriate model parameters for the three sites, the steady stateprobability distribution functions of water table levels predicted by the model arecompared to the empirical ones at both the annual and the seasonal time scale. The modelis shown capable to reproduce many features of the observed distributions althoughthere exist model predictions which still show some discrepancies with respect to theempirical observations. The potential causes for these discrepancies are also investigatedand discussed.
Lingua originaleEnglish
pagine (da-a)1-20
Numero di pagine20
RivistaWater Resources Research
Volume46
Stato di pubblicazionePublished - 2010

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water table
modeling
ecosystem
riparian zone
water uptake
peatland
sensitivity analysis
water flow
wetland
timescale
rainfall
groundwater
vegetation
prediction
distribution
soil
water
parameter

All Science Journal Classification (ASJC) codes

  • Water Science and Technology

Cita questo

Noto, L., Pumo, D., Miralles-Wilhem, F., Tamea, S., Pumo, D., & Rodriguez-Iturbe, I. (2010). Modeling belowground water table fluctuations in the Everglades. Water Resources Research, 46, 1-20.

Modeling belowground water table fluctuations in the Everglades. / Noto, Leonardo; Pumo, Dario; Miralles-Wilhem, Fernando; Tamea, Stefania; Pumo, Dario; Rodriguez-Iturbe, Ignacio.

In: Water Resources Research, Vol. 46, 2010, pag. 1-20.

Risultato della ricerca: Article

Noto, L, Pumo, D, Miralles-Wilhem, F, Tamea, S, Pumo, D & Rodriguez-Iturbe, I 2010, 'Modeling belowground water table fluctuations in the Everglades', Water Resources Research, vol. 46, pagg. 1-20.
Noto L, Pumo D, Miralles-Wilhem F, Tamea S, Pumo D, Rodriguez-Iturbe I. Modeling belowground water table fluctuations in the Everglades. Water Resources Research. 2010;46:1-20.
Noto, Leonardo ; Pumo, Dario ; Miralles-Wilhem, Fernando ; Tamea, Stefania ; Pumo, Dario ; Rodriguez-Iturbe, Ignacio. / Modeling belowground water table fluctuations in the Everglades. In: Water Resources Research. 2010 ; Vol. 46. pagg. 1-20.
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AU - Noto, Leonardo

AU - Pumo, Dario

AU - Miralles-Wilhem, Fernando

AU - Tamea, Stefania

AU - Pumo, Dario

AU - Rodriguez-Iturbe, Ignacio

PY - 2010

Y1 - 2010

N2 - Humid lands, such as riparian zones, peatlands, and unsubmerged wetlands, areconsidered among the most biologically diverse of all ecosystems, providing a bountifulhabitat for a large number of plant and animal species. In such ecosystems, the water tabledynamics play a key role in major ecohydrological processes. The aim of the present studyis to test with field data a recent analytical model for the estimation of the long‐termprobability distribution of the belowground water table position in groundwater‐dependentenvironments. This model accounts for stochastic rainfall and processes such asinfiltration, root water uptake, water flow from/to an external water body, and capillaryfluxes. The water table model is tested using field data of groundwater levels recorded inthree different sites within the Everglades (Florida, USA). A sensitivity analysis of themodel to the soil and vegetation parameters is also carried out. After performing aprocedure to determinate appropriate model parameters for the three sites, the steady stateprobability distribution functions of water table levels predicted by the model arecompared to the empirical ones at both the annual and the seasonal time scale. The modelis shown capable to reproduce many features of the observed distributions althoughthere exist model predictions which still show some discrepancies with respect to theempirical observations. The potential causes for these discrepancies are also investigatedand discussed.

AB - Humid lands, such as riparian zones, peatlands, and unsubmerged wetlands, areconsidered among the most biologically diverse of all ecosystems, providing a bountifulhabitat for a large number of plant and animal species. In such ecosystems, the water tabledynamics play a key role in major ecohydrological processes. The aim of the present studyis to test with field data a recent analytical model for the estimation of the long‐termprobability distribution of the belowground water table position in groundwater‐dependentenvironments. This model accounts for stochastic rainfall and processes such asinfiltration, root water uptake, water flow from/to an external water body, and capillaryfluxes. The water table model is tested using field data of groundwater levels recorded inthree different sites within the Everglades (Florida, USA). A sensitivity analysis of themodel to the soil and vegetation parameters is also carried out. After performing aprocedure to determinate appropriate model parameters for the three sites, the steady stateprobability distribution functions of water table levels predicted by the model arecompared to the empirical ones at both the annual and the seasonal time scale. The modelis shown capable to reproduce many features of the observed distributions althoughthere exist model predictions which still show some discrepancies with respect to theempirical observations. The potential causes for these discrepancies are also investigatedand discussed.

KW - ecohydrology

KW - hydrological modeling

KW - water table fluctuations

UR - http://hdl.handle.net/10447/52024

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