Performance Evaluation and Uncertainty Measurement in Irrigation Scheduling Soil Water-Balance Approach
Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 10
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 and fraction of TAW that can be depleted from the root zone before moisture stress are two variables that directly affect the TAW. It has been studied how evaluation performance measurements change when and change too. High values of and perform better too.
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 136 • Issue 10 • October 2010
Pages: 732 - 743
Copyright
© 2010 ASCE.
History
Received: Nov 23, 2009
Accepted: Mar 5, 2010
Published online: Mar 22, 2010
Published in print: Oct 2010
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