Predicting soil salinity in response to different irrigation practices, soil types and rainfall scenarios
A model was developed to predict rootzone salinity under different irrigation practices on different soil types, with similar rainfall but different monthly distributions. A rootzone daily water and salt balance was performed using eight scenarios: two soil types (coarse textured vs. fine textured),...
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Published in | Irrigation science Vol. 29; no. 3; pp. 197 - 211 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer-Verlag
01.05.2011
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | A model was developed to predict rootzone salinity under different irrigation practices on different soil types, with similar rainfall but different monthly distributions. A rootzone daily water and salt balance was performed using eight scenarios: two soil types (coarse textured vs. fine textured), two multi-year series of actual rainfall data and two irrigation practices (surface with fixed number of irrigations and ET-based sprinkler irrigation). All factors influenced the mean electrical conductivity (EC) of the rootzone in the growing season (EC
eS
): (i) Surface irrigation led to lower EC
eS
than sprinkler irrigation; (ii) Winter-concentrated rainfall caused lower EC
eS
than rainfall distributed uniformly throughout the year; and (iii) Coarser-textured soil usually resulted in lower EC
eS
than the finer textured. The EC
eS
was related to the total precipitation of the hydrologic year and to the annual leaching fraction (LF) but surprisingly not to the seasonal LF. In most cases, the model predicted lower EC
eS
than the FAO steady-state approach. Therefore, considering these site-specific features could lead to lower leaching requirements and the safe use of higher salinity water. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0342-7188 1432-1319 |
DOI: | 10.1007/s00271-010-0223-7 |