Abstract
#Geostatisticaltechniques allow detecting soil spatial #variability and applying site-specific management in a way that traditional methods
do not. The study objective was to develop a prescription map for
leaching requirements (LR) of a field in Sharkia governorate in Egypt
using
ordinary kriging as interpolator. 91 soil samples were collected and
subjected to electrical conductivity analysis (ECe). All data were
randomly
divided into two subsets named as calibration and validation. Prediction
performance was assessed by calculating two statistics: mean error
(ME) and mean standardized squared error (MSSE). Results showed that the
ME and MSSE values were 0.09 and 1.27 in validation. LR was
calculated for zones having ECe greater than 4 dS.m-1 to reach 2 dS.m-1
and was 3625 and 1149 m3. Results showed that assuming the ECe mean
value for 91 soil samples (5.12 dS.m-1) - without #geostatisticalinterpolation - a quantity of 6203 m3 of water should be added to reduce
salinity
of the whole field to 2 dS.m-1. So 1429 m3 can be saved and then used
for irrigation. These results emphasize the importance of geostatistics
in
detecting within field variability and hence applying site-specific
management especially in countries suffering from water #scarcity.
For more biomedical open access journals please click on
Site-Specific Leaching Map of a Salt Affected #Soil in Egypt by Sameh M Shaddad in BJSTR
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