TY - JOUR
T1 - Uncertainty analysis of an irrigation scheduling model for water management in crop production
AU - Mun, S.
AU - Sassenrath, G. F.
AU - Schmidt, A. M.
AU - Lee, N.
AU - Wadsworth, M. C.
AU - Rice, B.
AU - Corbitt, J. Q.
AU - Schneider, J. M.
AU - Tagert, M. L.
AU - Pote, J.
AU - Prabhu, R.
N1 - Funding Information:
Support for portions of this work was received from the Mississippi Soybean Promotion Board and the Mississippi Corn Promotion Board to A.M. Schmidt and G.F. Sassenrath and from Mississippi State University MAFES Special Research Initiative (SRI) 2013 to R. Prabhu and G. F. Sassenrath. The authors would like to thank the Department of Agricultural and Biological Engineering at Mississippi State University for supporting this work. Special thanks and appreciation go to the cooperating farmers for the on-farm studies of crop water use and model validation. This is contribution number 15-092-J from the Kansas Agricultural Experiment Station.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Irrigation scheduling tools are critical to allow producers to effectively manage water resources for crop production. To be useful, these tools need to be accurate, complete, and relatively reliable. The current work presents an uncertainty analysis and its results for the Mississippi Irrigation Scheduling Tool (MIST) model, showing the margin of error (uncertainty) of the resulting irrigation advice arising solely from the propagation of measurement uncertainty through the MIST calculations. The final relative uncertainty in the water balance value from MIST was shown to be around 9% of that value, which is in the normal range of the margin of error and acceptable for agronomic systems. The results of this research also indicate that accurate measurements of irrigation and rainfall are critical to minimizing errors when using MIST and similar scheduling tools. While developed with data from Mississippi, the results of this uncertainty analysis are relevant to similar tool development efforts across the southern and southeastern United States and other high-rainfall areas, especially for locations lacking high-quality co-located weather stations.
AB - Irrigation scheduling tools are critical to allow producers to effectively manage water resources for crop production. To be useful, these tools need to be accurate, complete, and relatively reliable. The current work presents an uncertainty analysis and its results for the Mississippi Irrigation Scheduling Tool (MIST) model, showing the margin of error (uncertainty) of the resulting irrigation advice arising solely from the propagation of measurement uncertainty through the MIST calculations. The final relative uncertainty in the water balance value from MIST was shown to be around 9% of that value, which is in the normal range of the margin of error and acceptable for agronomic systems. The results of this research also indicate that accurate measurements of irrigation and rainfall are critical to minimizing errors when using MIST and similar scheduling tools. While developed with data from Mississippi, the results of this uncertainty analysis are relevant to similar tool development efforts across the southern and southeastern United States and other high-rainfall areas, especially for locations lacking high-quality co-located weather stations.
KW - Agricultural production tools
KW - Crop water management
KW - Irrigation schedule modeling
KW - Soil water balance
KW - Uncertainty analysis
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U2 - 10.1016/j.agwat.2015.03.009
DO - 10.1016/j.agwat.2015.03.009
M3 - Article
AN - SCOPUS:84927546883
VL - 155
SP - 100
EP - 112
JO - Agricultural Water Management
JF - Agricultural Water Management
SN - 0378-3774
ER -