scholarly journals A method for evaluating water-level response to hydrologic stresses in karstic wetlands in central Florida, using a simple water-balance model

1997 ◽  
Keyword(s):  
Water Balance ◽  
Water Level ◽  
Water Balance Model ◽  
Balance Model ◽  
Central Florida

Combining a data-driven approach with seasonal forecasts data to predicting reservoir water volume in the Mediterranean area.

2021 ◽  
Author(s):  
Antonio Francipane ◽  
Elisa Arnone ◽  
Leonardo Valerio Noto
Keyword(s):  
Water Balance ◽  
Water Level ◽  
Forecast Model ◽  
Water Balance Model ◽  
Water Levels ◽  
Data Driven ◽  
Balance Model ◽  
Water Volume ◽  
Reservoir Water ◽  
Preliminary Results

<p>Artificial reservoirs are one of the main water supply resources in the Mediterranean areas; their management can be strongly affected by the problems of drought and water scarcity. The reservoir water level is the result of the hydrological processes occurring in the upstream catchment, which, in turn, depend on meteorological variables, such as rainfall and temperature. It follows that a reliable forecast model of the meteorological forcing, along with a reliable water balance model, could enhance the correct management of a reservoir. With regard to the rainfall/temperature forecast model, the use of forecast climate data in the mid-term may provide further support for the future water level estimation of reservoirs.</p><p>From the perspective of the water balance model, instead, among the approaches used to predict the water levels for the next future, those based on data-driven methods have been demonstrated to be particularly capable of correctly reproducing the correlation between a dependent variable (e.g., water level, volume) and some covariates (e.g., temperature, precipitation).</p><p>This study describes the preliminary results of a novel application that exploits the Seasonal Forecast (SF) data, produced at the European Centre for Medium-Range Weather Forecasting (ECMWF), within a data-driven model aimed to predict the reservoir water volume at mid-term scale, up to 6 months ahead in four reservoirs of the Sicily (Italy) here considered as a case study. For each case, a NARX (Nonlinear AutoRegressive network with eXogenous inputs) neural network is calibrated to reproduce the monthly stored water volume starting from the monthly precipitation and mean monthly air temperature variables.</p><p>Preliminary results showed that the NARXs have the capability to reproduce the water levels in the investigated period (January 2017 - April 2020), including the variations during more or less dry periods. All this despite the SF data have not been previously treated with downscaling and/or bias correction techniques.</p>

Assessment of interbasin groundwater flows between catchments using a semi-distributed water balance model

2014 ◽  
Vol 519 ◽  
pp. 1848-1858 ◽  
Author(s):  
Francisco Pellicer-Martínez ◽  
José Miguel Martínez-Paz
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model

A simple distributed water balance model for an urbanized river basin using remote sensing and GIS techniques

2019 ◽  
Vol 35 (9) ◽  
pp. 954-975
Author(s):  
Olutoyin Adeola Fashae ◽  
Rotimi Oluseyi Obateru ◽  
Adeyemi Oludapo Olusola
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
River Basin ◽  
Remote Sensing And Gis ◽  
Water Balance Model ◽  
Balance Model ◽  
Gis Techniques

scholarly journals GlobWat – a global water balance model to assess water use in irrigated agriculture

2015 ◽  
Vol 19 (9) ◽  
pp. 3829-3844 ◽  
Author(s):  
J. Hoogeveen ◽  
J.-M. Faurès ◽  
L. Peiser ◽  
J. Burke ◽  
N. van de Giesen
Keyword(s):  
Water Balance ◽  
Water Use ◽  
Open Water ◽  
Water Balance Model ◽  
Green Water ◽  
Balance Model ◽  
Irrigated Agriculture ◽  
High Resolution Data ◽  
Food And Agriculture ◽  
Global Water

Abstract. GlobWat is a freely distributed, global soil water balance model that is used by the Food and Agriculture Organization (FAO) to assess water use in irrigated agriculture, the main factor behind scarcity of freshwater in an increasing number of regions. The model is based on spatially distributed high-resolution data sets that are consistent at global level and calibrated against values for internal renewable water resources, as published in AQUASTAT, the FAO's global information system on water and agriculture. Validation of the model is done against mean annual river basin outflows. The water balance is calculated in two steps: first a "vertical" water balance is calculated that includes evaporation from in situ rainfall ("green" water) and incremental evaporation from irrigated crops. In a second stage, a "horizontal" water balance is calculated to determine discharges from river (sub-)basins, taking into account incremental evaporation from irrigation, open water and wetlands ("blue" water). The paper describes the methodology, input and output data, calibration and validation of the model. The model results are finally compared with other global water balance models to assess levels of accuracy and validity.

scholarly journals Water balance model and eucalyptus growth simulation in the rio doce basin, Brazil - doi: 10.4025/actasciagron.v35i4.16955

2013 ◽  
Vol 35 (4) ◽  
Author(s):  
Welliam Chaves Monteiro Silva ◽  
Aristides Ribeiro ◽  
Júlio Cesar Lima Neves ◽  
Nairam Felix de Barros ◽  
Fernando Palha Leite
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Growth Simulation

Simulating pan-Arctic runoff with a macro-scale terrestrial water balance model

2003 ◽  
Vol 17 (13) ◽  
pp. 2521-2539 ◽  
Author(s):  
Michael A. Rawlins ◽  
Richard B. Lammers ◽  
Steve Frolking ◽  
Bal�zs M. Fekete ◽  
Charles J. Vorosmarty
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Macro Scale ◽  
Terrestrial Water

Late Pleistocene climate inferences from a water balance model of Jakes Valley, Nevada (USA)

2016 ◽  
Vol 56 (2-3) ◽  
pp. 109-122 ◽  
Author(s):  
Cornelia Barth ◽  
Douglas P. Boyle ◽  
Benjamin J. Hatchett ◽  
Scott D. Bassett ◽  
Christopher B. Garner ◽  
...  
Keyword(s):  
Water Balance ◽  
Late Pleistocene ◽  
Water Balance Model ◽  
Balance Model ◽  
Pleistocene Climate
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