Comparison and sensitivity of measurement techniques for spatial distribution of soil salinity

被引：11

作者：

Center for Development Research , University of Bonn, Walter-Flex-Str. 3, 53113 Bonn, Germany ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

不详 ^{[4
]}

机构：

[1] Center for Development Research (ZEF), University of Bonn, 53113 Bonn

[2] ICARDA, Aleppo

[3] New Mexico Tech, Socorro, NM 87801

[4] ICARDA-PFU, Tashkent 100000

来源：

Irrig. Drain. Syst. | 2008年 / 1卷 / 115-126期

关键词：

Electrical conductivity; Regression tree; Salinity assessment;

D O I：

10.1007/s10795-008-9043-9

中图分类号：

学科分类号：

摘要：

In Khorezm, a district of Uzbekistan situated in the Aral Sea Basin, soil salinization is an important driver of soil degradation in irrigated agriculture. The main objective of this study was to identify techniques that enable rapid estimation of soil salinity. Therefore, bulk electrical conductivity of the soil (ECa-meas) was measured with three different devices (2P, 4P, and CM-138) and electrical conductivity of the soil paste (ECp-meas) was measured with the so-called 2XP device. These measurements were compared with independent estimates of ECa-calc and ECp-calc based on laboratory measurements of the saturated extract, ECe, of soil samples from the same sites. Soil salinity could be assessed satisfactorily with all four devices. ECp-meas could be well reproduced by the 2XP device (R2=0.76), whereas ECa-meas estimates using 2P, 4P, and CM-138 in the field were less accurate (R2<0.50). The sensitivity of all devices to the main ions Cl- and Ca2+ suggests that the measuring principles are similar for all instruments. The devices can therefore be used interchangeably. Field assessment of soil salinity was considerably enhanced by the use of CM-138, because large areas can be quickly assessed, which may be desirable in spite of the lower accuracy. © Springer Science+Business Media B.V. 2008.

引用

页码：115 / 126

页数：11

共 23 条

[1]

Abdullaev U., Republic of Uzbekistan. Land degradation assessment in drylands (LADA), (2003)

[2]

Archie G.E., The electrical resistivity log as an aid to determining some reservoir characteristics, Trans AIME, 146, pp. 54-63, (1942)

[3]

Corwin D.L., Rhoades J.D., An improved technique for determining soil electrical conductivity-depth relations from above-ground electromagnetic measurements, Soil Sci Soc Am J, 46, pp. 517-520, (1982)

[4]

Fertilizer Use By Crop in Uzbekistan, (2003)

[5]

Forkutsa I., Modeling water and salt dynamics under irrigated cotton with shallow groundwater in the Khorezm region of Uzbekistan, Ecology and Development Series, 37, (2006)

[6]

Hanson B.R., Grattan S.R., Field sampling of soil, water, and plants, Agricultural Salinity Assessment and Management, 71, pp. 186-200, (1990)

[7]

Hassan H.M., Warrick A.W., Amoozegar-Fard A., Sampling volume effects on determining salt in a soil profile, Soil Sci Soc Am J, 47, pp. 1265-1267, (1983)

[8]

Hendrickx J.M.H., Baerends B., Raza Z.I., Sadig M., Chaudhry A.M., Soil salinity assessment by electromagnetic induction of irrigated land, Soil Sci Soc Am J, 56, pp. 1933-1941, (1992)

[9]

Hendrickx J.M.H., Das B., Corwin D.L., Wraith J.M., Kachanoski R.G., Relationship between soil water solute concentration and apparent soil electrical conductivity, Methods of Soil Analysis, 4, pp. 1275-1282, (2002)

[10]

Kachinsky N.A., Mehanicheskiy I Microagregatniy Sostav Pochvi. Metodi Ego Izucheniya (Texture and Microagregate Composition of the Soil. Methods of Study), (1958)

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