American Society of Civil Engineers


Performance Evaluation and Uncertainty Measurement in Irrigation Scheduling Soil Water-Balance Approach


by Alberto García Prats, (corresponding author), (Professor, Departamento de Ingeniería Hidráulica y Medio Ambiente, Universidad Politécnica de Valencia, Campus Gandía, C/Paraninf No. 1, 46.730 Grao de Gandía, Valencia, España) and Santiago Guillem Picó, (Professor, Departamento de Ingeniería Cartográfica, Geodesia y Fotogrametría, Universidad Politécnica de Valencia, Campus Blasco Ibañez, Avda. Blasco Ibáñez No. 21, 46020 Valencia, España.)

Journal of Irrigation and Drainage Engineering, Vol. 136, No. 10, October 2010, pp. 732-743, (doi:  http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000245)

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Document type: Journal Paper
Abstract: The present work aims at approaching the study of the performance and uncertainty associated with an irrigation scheduling method based on a soil-water balance. On a daily time step, a water-balance-based irrigation scheduling model has been developed. A Monte Carlo simulation of the irrigation scheduling model is developed using a series of actual daily weather data of evapotranspiration and precipitation and bootstrapping stochastic technique to resampling them. Performance evaluation measurements and their uncertainty are studied by means of several parameters: reliability, resiliency, vulnerability, total irrigation water allocation, total water loosed by deep percolation, and actual evapotranspiration/potential evapotranspiration rate along the growing season. The behaviors of 12 different types of soils (between coarse-textured soils and fine-textured soils) are compared using pedotransfer functions. Total available water (TAW) is the most important hydraulic property of the soil as far as irrigation scheduling performance is concerned. The statistical relationship between evaluation performance measures and TAW has been calculated. Soils with high values of TAW perform better. Rooting depth (Zr) and fraction of TAW that can be depleted from the root zone before moisture stress (p) are two variables that directly affect the TAW. It has been studied how evaluation performance measurements change when Zr and p change too. High values of Zr and p perform better too.


ASCE Subject Headings:
Irrigation
Scheduling
Soil water
Uncertainty principles
Soil properties
Water balance

Author Keywords:
Irrigation schedule
Soil-water balance
Performance evaluation
Uncertainty measurement
Hydraulic soil properties
FAO procedures