A farm-scale water balance assessment of various rice irrigation strategies using a bucket-model approach in Spain

Abstract

Making effective decisions about scaling up on-farm irrigation practices to the district level requires a comprehensive assessment of irrigation management at the farm level. In this context, a bucket-type water mass balance model was developed, calibrated, and validated over five irrigation seasons on a 121-hectare rice farm located in the lower Ter River valley (north-east Spain), to assess the water use efficiency and the impact of different irrigation practices on water savings. The model was implemented considering the spatial variability of the soils within the farm. It showed a satisfactory performance in both the calibration (2020, 2021, 2022) and validation (2023, 2024) cropping seasons, with NSE values greater than 0.50, PBIAS lower than ±20%, and RSR lower than 0.70. After model validation, the simulation of alternative water management practices revealed that the 10-day fixed-turn irrigation reduced irrigation water use by 30% compared to the traditional water management, although it may negatively impact rice yield. Simulations of an early irrigation cut-off at the end of the season and dry seeding with delayed flooding accounted for 17% and 15% irrigation water savings, respectively. The implementation of the no-runoff practice only accounted for a 6% reduction in water use. The water-saving potential of the simulated strategies was mainly driven by shortening the flooded period of rice paddies, thus demonstrating that managing the ponding water level is critical to diminishing water use in rice irrigation.

This research was carried out within the framework of MEDWATERICE and PROMEDRICE projects. Both projects are part of the PRIMA program supported by the European Union, and received funding from the Spanish Agencia Estatal de Investigación under grant agreements PCI2019-103738 and PCI2023-143435, respectively, as part od PRIMA program. This work was also supported by the Ministerio de Ciencia, Innovación y Universidades of Spain through an FPU predoctoral grant, under the grant agreement FPU20/01123.