Validation of a soil water balance model using soil water content and pressure head data

2005 ◽  
Vol 19 (6) ◽  
pp. 1139-1164 ◽  
Author(s):  
Martin Wegehenkel
Keyword(s):  
Water Balance ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Pressure Head ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model

scholarly journals Penerapan Zero Runoff System (ZROS) dan Efektivitas Penurunan Limpasan Permukaan Pada Lahan Miring di DAS Cidanau, Banten

2017 ◽  
Vol 23 (2) ◽  
pp. 102 ◽  
Author(s):  
Yanuar Chandra Wirasembada ◽  
Budi Indra Setiawan ◽  
Satyanto Krido Saptomo
Keyword(s):  
Water Balance ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Conservation ◽  
Water Balance Model ◽  
Balance Model ◽  
Coefficient Of Determination ◽  
Before And After ◽  
Zero Runoff

Runoff is one of flood and erosion causal factor in Indonesia. Runoff occurred when rainfall cannot be infiltrated and flowed on the ground surface. Cidanau watershed has quite high rainfall average (2573 mm/year) so it has high runoff potential. Zero Runoff System (ZROS) is one of water conservation way which can infiltrate runoff to the ground using permeation structures. ZROS’s successful parameter in order to decreasing runoff rate can be observed by the soil water content differences before and after ZROS application. Soil water content estimation was conducted by water balance model with and without runoff and then it is compared with soil water content from measuring. The simulation results indicated that soil water content in the research field before and after ZROS application is 0.476 and 0.569 m3/m3 respectively. The simulation is also conducted for past 10 years (2004-2013) and resulted higher soil water content if ZROS were applied. This results indicates that ZROS capable to decrease and permeate runoff to the ground and then increase soil water content level. Water balance model with and without runoff has coefficient of determination (R2) 0.606. It means that this model could simulate the soil water content differences before and after ZROS application valid relatively.

The performance of Metop Advanced SCATterometer soil moisture data as a complementary source for the estimation of crop-soil water balance in Central Europe

2018 ◽  
Vol 156 (5) ◽  
pp. 577-598 ◽  
Author(s):  
S. Thaler ◽  
J. Eitzinger ◽  
M. Trnka ◽  
M. Možný ◽  
S. Hahn ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Status ◽  
Soil Water Balance ◽  
Balance Model ◽  
Spatial Average ◽  
Soil Wetness

AbstractSimulation of the water balance in cropping systems is an essential tool, not only to monitor water status and determine drought but also to find ways in which soil water and irrigation water can be used more efficiently. However, besides the requirement that models are physically correct, the spatial representativeness of input data and, in particular, accurate precipitation data remain a challenge. In recent years, satellite-based soil moisture products have become an important data source for soil wetness information at various spatial-temporal scales. Four different study areas in the Czech Republic and Austria were selected representing Central European soil and climatic conditions. The performance of soil water content outputs from two different crop-water balance models and the Metop Advanced SCATterometer (ASCAT) soil moisture product was tested with field measurements from 2007 to 2011. The model output for soil water content shows that the crop model Decision Support System for Agrotechnology Transfer performs well during dry periods (<30% plant available soil moisture (ASM), whereas the soil water-balance model SoilClim presents the best results in humid months (>60% ASM). Moreover, the model performance is best in the early growing season and decreases later in the season due to biases in simulated crop-related above-ground biomass compared with the relatively stable grass canopy of the measurement sites. The Metop ASCAT soil moisture product, which presents a spatial average of soil surface moisture, shows the best performance under medium soil wetness conditions (30–50% ASM), which is related to low variation in precipitation frequency and under conditions of low-surface biomass (early vegetation season).

scholarly journals A Coupled Soil Water Balance Model for Simulating Depression-Focused Groundwater Recharge

2018 ◽  
Vol 17 (1) ◽  
pp. 170176 ◽  
Author(s):  
Saskia L. Noorduijn ◽  
Masaki Hayashi ◽  
Getachew A. Mohammed ◽  
Aaron A. Mohammed
Keyword(s):  
Water Balance ◽  
Groundwater Recharge ◽  
Soil Water ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model

Simulation of yield decline as a result of water stress with a robust soil water balance model

2006 ◽  
Vol 81 (3) ◽  
pp. 335-357 ◽  
Author(s):  
Dirk Raes ◽  
Sam Geerts ◽  
Emmanuel Kipkorir ◽  
Joost Wellens ◽  
Ali Sahli
Keyword(s):  
Water Stress ◽  
Water Balance ◽  
Soil Water ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model ◽  
Yield Decline

A soil water balance model for sloping land

1986 ◽  
Vol 29 (2) ◽  
pp. 315-323 ◽  
Author(s):  
J. S. Bircham ◽  
A. G. Gillingham
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model ◽  
Sloping Land
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