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poster - International Conference of Agricultural Engineering

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Simulation <strong>of</strong> water flow with root water uptake proposed the new<br />

s<strong>of</strong>tware SWMRUM<br />

Abstrat<br />

Sina Besharat 1 *<br />

1 Water <strong>Engineering</strong> Department, University <strong>of</strong> Urmia, Urmia, Iran<br />

* s.besharat@urmia.ac.ir<br />

Soil water simulation models require a description <strong>of</strong> root water uptake. In this study, water<br />

flow model including proposed model (SWMRUM) s<strong>of</strong>tware were compared based on field<br />

measurement under the same condition in Lysimeter. Tube-time domain reflectometry (TDR)<br />

was used to measure soil volumetric water content. Root water uptake model includes root<br />

density distribution function, potential transpiration and soil water stress-modified factor. The<br />

root water uptake model was developed, and linked into a soil water dynamic model to<br />

enable simulation <strong>of</strong> water movement in soil via numerical solution <strong>of</strong> Richards’s equation.<br />

The outputs from the model are compared against the measured water content data.<br />

Simulated and measured water contents were in excellent agreement. Analysis <strong>of</strong> residual<br />

errors, differences between measured and simulated values, can be used to evaluate model<br />

performance. These are root mean square error (RMSE), modeling efficiency (EF), and<br />

coefficient <strong>of</strong> residual mass (CRM). Results show that maximum root water uptake was 0.023<br />

m3m3d-1 at depth 15-25 cm and minimum was 0.003 m3m3d-1 at depth 60 cm.<br />

Key words: Numerical solution, Richards’ equation, Root distribution, SWMRUM s<strong>of</strong>tware,<br />

Water flow.<br />

1. Introduction<br />

Rooting patterns have traditionally been analyzed by means <strong>of</strong> root weight density or root<br />

length density. Root length density is <strong>of</strong>ten used to characterize the root system. However, it<br />

is a difficult and time-consuming undertaking to measure and determine root length density<br />

distributions accurately, especially in the field, because the distributions change with different<br />

soils, plant species, growing seasons, climate conditions, and others.<br />

There are some investigations on the root morphology <strong>of</strong> trees, including the spatial<br />

distribution <strong>of</strong> roots under localized water application (Kjelgren et al. 1985; Meyer and Peck<br />

1985; Roth and Gardner 1985; Sakovich and Post 1986; Clausnitzer and Hopmans 1994).<br />

Information to date on the spatial and temporal distribution <strong>of</strong> root water and nutrient uptake<br />

is limited, especially for partially wetted soils (Clothier 1989; Kramer and Boyer 1995). Root<br />

water uptake models that can describe spatial and temporal patterns were developed by<br />

Coelho and Or (1996) and Vrugt et al. (2001).<br />

Understanding the physical processes in the soil which govern water and chemical entry into<br />

the root zone, is a necessary step towards developing more efficient and environmentally<br />

sustainable strategies <strong>of</strong> root zone management. However, it is also important to understand<br />

the biological processes that operate in the root zone to govern subsequent uptake <strong>of</strong> water<br />

and chemicals by the roots. The movement <strong>of</strong> soil water, and <strong>of</strong> any water-borne chemicals,<br />

is frequently a direct result <strong>of</strong> the action <strong>of</strong> plant roots. If we are to understand better, and to<br />

model effectively, soil and plant processes we need at least a quantitative means <strong>of</strong><br />

describing the process <strong>of</strong> uptake by the roots (Green and Clothier 1999).<br />

The objectives <strong>of</strong> this study are to test SWMRUM model used for root water uptake and to<br />

develop such as empirically spatial distribution model <strong>of</strong> an apple tree roots. This model<br />

established based on the soil properties.

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