Zare, N., Khaledian, M. (2014). Calibration and Validation of WAVE Model for Simulating Components of Soil Nitrogen Balance. , 28(1), 101-111. doi: 10.22092/ijsr.2014.120155
N. Zare; M.R. Khaledian. "Calibration and Validation of WAVE Model for Simulating Components of Soil Nitrogen Balance". , 28, 1, 2014, 101-111. doi: 10.22092/ijsr.2014.120155
Zare, N., Khaledian, M. (2014). 'Calibration and Validation of WAVE Model for Simulating Components of Soil Nitrogen Balance', , 28(1), pp. 101-111. doi: 10.22092/ijsr.2014.120155
Zare, N., Khaledian, M. Calibration and Validation of WAVE Model for Simulating Components of Soil Nitrogen Balance. , 2014; 28(1): 101-111. doi: 10.22092/ijsr.2014.120155

Calibration and Validation of WAVE Model for Simulating Components of Soil Nitrogen Balance

پژوهش های خاک
Article 9, Volume 28, Issue 1, September 2019, Pages 101-111    PDF (1.19 M)
Document Type: Research Paper
DOI: 10.22092/ijsr.2014.120155
Authors
N. Zare1; M.R. Khaledian* 2
1M. Sc. student of irrigation and drainage, University of Guilan
2Assistant Professor., Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran
Abstract
Using models to interpret soil-water-plant relationships under different conditions enable us to study the different management scenarios and then determine the optimum option, which help us to reduce the costs and to improve the benefits. As experimental studies are time consuming and expensive and the results are often affected by uncontrollable environmental conditions, using models to describe the complicated relationships between soil, water, and plant can be a suitable solution. The aim of this study was to use WAVE Model to predict nitrogen balance components and simulation of soil water reserve over a corn crop season in 2007 and also in the period between 2007 harvest and the next crop of 2008.  This study was done in the Irstea experimental station in the Southern France in 2007-2008 period.  Results showed an appropriate agreement between measured and model simulations of leaf area index (r2=0.95), soil water reserve (r2=0.96), and final soil nitrogen content (by maximum difference of 0.6 kg N.ha-1). Also, in calibration process for soil water reserve simulation, according to nRMSE and NSE indices, which were, respectively, 7 % and 0.95, the performance of the model was excellent.
Keywords
Water movement; Solute transport in soil; Modeling; Nitrate leaching
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