Development of GIS-Based Model to Estimate Relative Reductions in Crop Yield due to Salinity and Waterlogging
Publication: Journal of Irrigation and Drainage Engineering
Volume 132, Issue 6
Abstract
A model is introduced that utilizes geographic information systems (GIS) to predict relative reductions in crop yield due to salinity and waterlogging at a field-scale by incorporating spatially and temporally variable crop, climatic, and irrigation data to simulate crop yields. This model utilizes soil and water data commonly collected in field-scale studies. The model’s algorithms are integrated into a GIS (ARCVIEW 3.2) as an extension. The result is a model that does not require extraordinary data collection but will provide practical insight into the spatial effects of salinity and waterlogging on crop yields.
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Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 132 • Issue 6 • December 2006
Pages: 553 - 563
Copyright
© 2006 ASCE.
History
Received: Feb 23, 2004
Accepted: Jan 5, 2006
Published online: Dec 1, 2006
Published in print: Dec 2006
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