| contributor author | Luis A. Garcia | |
| contributor author | Nathan Foged | |
| contributor author | Grant E. Cardon | |
| date accessioned | 2017-05-08T20:49:48Z | |
| date available | 2017-05-08T20:49:48Z | |
| date copyright | December 2006 | |
| date issued | 2006 | |
| identifier other | %28asce%290733-9437%282006%29132%3A6%28553%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/28488 | |
| description 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. | |
| publisher | American Society of Civil Engineers | |
| title | Development of GIS-Based Model to Estimate Relative Reductions in Crop Yield due to Salinity and Waterlogging | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 6 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)0733-9437(2006)132:6(553) | |
| tree | Journal of Irrigation and Drainage Engineering:;2006:;Volume ( 132 ):;issue: 006 | |
| contenttype | Fulltext | |
