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פותח על ידי קלירמאש פתרונות בע"מ -
Effect of instrument parameters on the accuracy of bulk soil electrical conductivity measurement
Year:
1990
Source of publication :
Soil Science
Authors :
נדלר, אריה
;
.
Volume :
150
Co-Authors:

M. Magaritz and A. Naor

Facilitators :
From page:
413
To page:
418
(
Total pages:
6
)
Abstract:

The apparent heterogeneity of bulk soil electrical conductivity (ECa) resulting from field determination using potentiometric measurement is affected by the design of the instrument that measures the soil property. This scaling (Cushman 1986) of the analytical instrument is dependent on soil and experimental conditions like dispersivity, salt distribution, and distance from the application point of the saline solution. We present an empirical model to help in selecting a suitable window to optimize ECa measurement. Laboratory-determined ECa values obtained with the four-electrode method deviate up to 50% from the predicted values because of inappropriate selection of inter-electrode distances for the measurement.

Note:
Related Files :
Electric conductivity measurement
soil
SOIL ELECTRICAL CONDUCTIVITY
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
0
Affiliations:
Database:
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
50601
Last updated date:
02/03/2022 17:27
Creation date:
30/09/2020 11:05
Scientific Publication
Effect of instrument parameters on the accuracy of bulk soil electrical conductivity measurement
150

M. Magaritz and A. Naor

Effect of instrument parameters on the accuracy of bulk soil electrical conductivity measurement

The apparent heterogeneity of bulk soil electrical conductivity (ECa) resulting from field determination using potentiometric measurement is affected by the design of the instrument that measures the soil property. This scaling (Cushman 1986) of the analytical instrument is dependent on soil and experimental conditions like dispersivity, salt distribution, and distance from the application point of the saline solution. We present an empirical model to help in selecting a suitable window to optimize ECa measurement. Laboratory-determined ECa values obtained with the four-electrode method deviate up to 50% from the predicted values because of inappropriate selection of inter-electrode distances for the measurement.

Scientific Publication
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