Numerical investigations on the relationships between watershed characteristics and water balance model parameters: searching for universal relationships among regional relationships

2011 ◽  
Vol 26 (6) ◽  
pp. 843-854 ◽  
Author(s):  
Yoshiyuki Yokoo ◽  
So Kazama
Keyword(s):  
Water Balance ◽  
Water Balance Model ◽  
Balance Model ◽  
Model Parameters ◽  
Watershed Characteristics ◽  
Numerical Investigations

Regionalization of lumped water balance model parameters based on multiple regression

2001 ◽  
Vol 246 (1-4) ◽  
pp. 209-222 ◽  
Author(s):  
Y Yokoo ◽  
S Kazama ◽  
M Sawamoto ◽  
H Nishimura
Keyword(s):  
Water Balance ◽  
Multiple Regression ◽  
Water Balance Model ◽  
Balance Model ◽  
Model Parameters

A performance assessment method for SAR satellite-derived surface soil moisture data using a soil-water balance model, meteorological observations, and soil pedotransfer functions.

2020 ◽  
Author(s):  
John Beale ◽  
Toby Waine ◽  
Ronald Corstanje ◽  
Jonathan Evans
Keyword(s):  
Regression Analysis ◽  
Soil Moisture ◽  
Water Balance ◽  
Surface Soil ◽  
Cosmic Ray ◽  
Water Balance Model ◽  
Balance Model ◽  
Model Parameters ◽  
Surface Soil Moisture

<p>The validation of surface soil moisture products derived from SAR satellites data is challenged by the difficulty of reliably measuring in-situ soil moisture at shallow soil depths of a few centimetres, consistent with the penetration depth of the microwave beam. Our analysis shows that the apparent accuracy of the remote sensing products is underestimated by comparison with inconsistent probe data or measurements at greater soil depths. Our alternative approach uses in-situ meteorological measurements to determine rainfall and potential evapotranspiration, to be used with soil hydrological properties as inputs to a water balance model to estimate surface soil moisture independently of the satellite data. In-situ soil moisture measurements are used to validate and refine the model parameters. The choice of appropriate soil hydrological parameters with which to convert remotely sensed surface soil moisture indices to volumetric moisture content is shown to have a significant impact on the bias and offset in the regression analysis. To illustrate this, Copernicus SSM data is analysed by this method for a number of COSMOS-UK soil moisture monitoring sites, showing a significant improvement in the coefficient of determination, bias and offset over regression analysis using in-situ measurements from soil moisture probes or the cosmic ray soil moisture sensor itself. This will benefit users of such products in agriculture, for example, in determining actual soil moisture deficit.</p>

scholarly journals Modelling catchment inflows into Lake Victoria: regionalisation of the parameters of a conceptual water balance model

2012 ◽  
Vol 44 (5) ◽  
pp. 789-808 ◽  
Author(s):  
Michael Kizza ◽  
Jose-Luis Guerrero ◽  
Allan Rodhe ◽  
Chong-yu Xu ◽  
Henry K. Ntale
Keyword(s):  
Water Balance ◽  
Model Calibration ◽  
Lake Victoria ◽  
Uncertainty Assessment ◽  
Uncertainty Estimation ◽  
Water Balance Model ◽  
Balance Model ◽  
Model Parameters ◽  
Lake Victoria Basin ◽  
Global Mean

The goal of this study was to evaluate regionalisation methods that could be used for modelling catchment inflows into Lake Victoria. WASMOD, a conceptual water balance model, was applied to nine gauged sub-basins in Lake Victoria basin in order to test the transferability of model parameters between the basins using three regionalisation approaches. Model calibration was carried out within the GLUE (generalised likelihood uncertainty estimation) framework for uncertainty assessment. The analysis was carried out for the period 1967–2000. Parameter transferability was assessed by comparing the likelihood values of regionalised simulations with the values under calibration for each basin. WASMOD performed well for all study sub-basins with Nash–Sutcliffe values ranging between 0.70 and 0.82. Transferability results were mixed. For the proxy-basin method, the best performing parameter donor basin was Mara with four proxy basins giving acceptable results. Sio, Sondu, Gucha and Duma also performed well. The global mean method gave acceptable performance for seven of the nine study basins. The ensemble regionalisation method provides the possibility to consider parameter uncertainty in the regionalisation. Ensemble regionalisation method performed best with an average departure of 40% from the observed mean annual flows compared to 48 and 60% for proxy-basin and global mean methods, respectively.

scholarly journals Evaluating the bio-hydrological impact of a cloud forest in Central America using a semi-distributed water balance model

2013 ◽  
Vol 61 (1) ◽  
pp. 9-20b ◽  
Author(s):  
Luis A. Caballero ◽  
Zachary M. Easton ◽  
Brian K. Richards ◽  
Tammo S. Steenhuis
Keyword(s):  
Water Balance ◽  
Central America ◽  
Forest Cover ◽  
Cloud Forest ◽  
Water Balance Model ◽  
Population Pressure ◽  
Balance Model ◽  
Annual Rainfall ◽  
Management Decision ◽  
Model Parameters

Abstract Water scarcity poses a major threat to food security and human health in Central America and is increasingly recognized as a pressing regional issues caused primarily by deforestation and population pressure. Tools that can reliably simulate the major components of the water balance with the limited data available and needed to drive management decision and protect water supplies in this region. Four adjacent forested headwater catchments in La Tigra National Park, Honduras, ranging in size from 70 to 635 ha were instrumented and discharge measured over a one year period. A semi-distributed water balance model was developed to characterize the bio-hydrology of the four catchments, one of which is primarily cloud forest cover. The water balance model simulated daily stream discharges well, with Nash Sutcliffe model efficiency (E) values ranging from 0.67 to 0.90. Analysis of calibrated model parameters showed that despite all watersheds having similar geologic substrata, the bio-hydrological response the cloud forest indicated less plantavailable water in the root zone and greater groundwater recharge than the non cloud forest cover catchments. This resulted in watershed discharge on a per area basis four times greater from the cloud forest than the other watersheds despite only relatively minor differences in annual rainfall. These results highlight the importance of biological factors (cloud forests in this case) for sustained provision of clean, potable water, and the need to protect the cloud forest areas from destruction, particularly in the populated areas of Central America.

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.

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