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Effects of hysteresis on redistribution of soil moisture and deep percolation at continuous and pulse drip irrigation

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  • Elmaloglou, S.
  • Diamantopoulos, E.

Abstract

The infiltration and redistribution of soil moisture under surface drip irrigation considering hysteresis were investigated in two soils (loamy sand and silt loam) of different texture. The effect of continuous versus intermittent application of 1, 2 and 4 l/h to the soils was evaluated in terms of wetting front advance patterns and deep percolation under the root zone. For this purpose, a cylindrical flow model incorporating hysteresis in the soil water retention characteristic curve, evaporation from the soil surface, and water extraction by roots was used. The results show that, compared with continuous irrigation, pulse irrigation slightly reduces the water losses under the root zone in both cases (with and without hysteresis). Also, at the total simulation time, in both types of irrigation, hysteresis reduces significantly the water losses under the root zone. Finally, the effect of hysteresis was found to be greater at higher discharge rate (4 l/h) and consequently at higher water content at the soil surface.

Suggested Citation

  • Elmaloglou, S. & Diamantopoulos, E., 2009. "Effects of hysteresis on redistribution of soil moisture and deep percolation at continuous and pulse drip irrigation," Agricultural Water Management, Elsevier, vol. 96(3), pages 533-538, March.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:3:p:533-538
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    References listed on IDEAS

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    1. Elmaloglou, S. & Diamantopoulos, E., 2007. "Wetting front advance patterns and water losses by deep percolation under the root zone as influenced by pulsed drip irrigation," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 160-163, May.
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    Cited by:

    1. Lesheng An & Kaihua Liao & Chun Liu, 2021. "Responses of Soil Infiltration to Water Retention Characteristics, Initial Conditions, and Boundary Conditions," Land, MDPI, vol. 10(4), pages 1-12, April.
    2. Kisi, Ozgur & Khosravinia, Payam & Heddam, Salim & Karimi, Bakhtiar & Karimi, Nazir, 2021. "Modeling wetting front redistribution of drip irrigation systems using a new machine learning method: Adaptive neuro- fuzzy system improved by hybrid particle swarm optimization – Gravity search algor," Agricultural Water Management, Elsevier, vol. 256(C).

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