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Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop

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  • Pirmoradian, Nader
  • Davatgar, Naser

Abstract

Irrigation water requirement is influenced by climatic fluctuations which can be simulated using agro-meteorological models. This study investigates fluctuating irrigation water requirements for rice as affected by drought occurrences. Irrigation requirements were simulated by the AquaCrop model in paddy fields of Guilan in northern Iran. Model validation was done based on field measurements during two consecutive years of 2012 and 2013 in the study area. The reconnaissance drought index (RDI), based on cumulative values of precipitation and potential evapotranspiration, was used for drought monitoring for 1982–2014, in two time scales of 3- and 6-month. Also, irrigation water requirements (IWR) were calculated for this period. The normalized root mean square error (NRMSE) for simulating canopy cover, biomass, rice evapotranspiration and deep percolation by AquaCrop were obtained 7.0, 8.8, 18.45 and 26.6%, respectively. The contributions of crop evapotranspiration and deep percolation in IWR were 70.5% and 22.9%, respectively. There are more drought occurrences after 1994. A good correlation was obtained between simulated rice IWR and RDI of July (calculated with 3-month time scale) (R = -0.89). Maximum amounts of required irrigation water in wet, normal and dry years, were 6750, 8050 and 8760 m³ ha−1, respectively. Obtained relationship between rice IWR and RDI of July with a 3-month time scale can be used to allocate paddies irrigation water of the studied area at transplanting time based on seasonal forecasts of drought.

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  • Pirmoradian, Nader & Davatgar, Naser, 2019. "Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop," Agricultural Water Management, Elsevier, vol. 213(C), pages 97-106.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:97-106
    DOI: 10.1016/j.agwat.2018.10.003
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    References listed on IDEAS

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    Cited by:

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    2. Li, Zhibin & Feng, Bianbian & Wang, Wei & Yang, Xi & Wu, Pute & Zhuo, La, 2022. "Spatial and temporal sensitivity of water footprint assessment in crop production to modelling inputs and parameters," Agricultural Water Management, Elsevier, vol. 271(C).
    3. Kim, Daeha & Chun, Jong Ahn & Inthavong, Thavone, 2021. "Managing climate risks in a nutrient-deficient paddy rice field using seasonal climate forecasts and AquaCrop," Agricultural Water Management, Elsevier, vol. 256(C).

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