Preprint Article Version 1 NOT YET PEER-REVIEWED

Prediction of Rice Water Requirement Using FAO-CROPWAT Model in North Iran under Future Climate Change

  1. Department of accounting Science, Nur Branch, Islamic Azad University, Nur, Iran
  2. Applied Meteorological Research Center of Mazandaran Province, Mazandaran 01133136012, Iran
Version 1 : Received: 29 October 2016 / Approved: 31 October 2016 / Online: 31 October 2016 (03:21:42 CET)

How to cite: Gilanipour, J.; Gholizadeh, B. Prediction of Rice Water Requirement Using FAO-CROPWAT Model in North Iran under Future Climate Change. Preprints 2016, 2016100134 (doi: 10.20944/preprints201610.0134.v1). Gilanipour, J.; Gholizadeh, B. Prediction of Rice Water Requirement Using FAO-CROPWAT Model in North Iran under Future Climate Change. Preprints 2016, 2016100134 (doi: 10.20944/preprints201610.0134.v1).

Abstract

In this paper, Rice water requirement and irrigation water requirement in Amol agro meteorological Station in 2016-2045 are forecasted based on the projected meteorological data of Hadcm3 under A2 scenario. Rice water requirements are estimated by using crop coefficient approach. Reference evapotranspiration are calculated by FAO Penman-Monteith method. Moreover, the irrigation water requirements are simulated by calibrated CROPWAT model using the meteorological parameters. The results show that both crop water requirement and irrigation water requirement present downward trend in the future. In 2016-2045, the rice water requirement and irrigation water requirement decrease by more than 9.9% under A2 scenario, respectively. Furthermore, the precipitation rise may be the main reason for the decrease in crop water requirement, while significant decrease of irrigation water requirement should be attributed to combined action of rising precipitation and a slight increase in temperature.

Subject Areas

rice; water requirement; climate change; Penman-Monteith; CROPWAT

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