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Integrating multiple electromagnetic data to map spatiotemporal variability of soil salinity in Kairouan region, Central Tunisia

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Journal of Arid Land 2022年第2期14卷 186-202页

作者： Besma ZARAI Christian WALTER Didier MICHOT Jean P MONTOROI Mohamed HACHICHA University of Carthage National Research Institute of Rural EngineeringWater and Forestry LR16INRGREF02Non-Conventional Water ValorizationAriana 2080Tunisia National Institute of Agronomy Tunis University of CarthageNicolle 1082Tunisia SAS Mixed Research Unit Soil Agro and Hydrosystem SpatializationINRAENational Research Institute for AgricultureFood and the EnvironmentRennes 35000France Bondy Research and Development Institute Bondy 93140France

Soil salinization is a major problem affecting soils and threatening agricultural sustainability in arid and semi-arid regions,which makes it necessary to establish an efficient strategy to manage soil salinity and confront economic challenges that arise from *** soil recovery involving drainage of shallow saline groundwater and the removal of soil salts by natural rainfall or by irrigation are good strategies for the reclamation of salty *** develop suitable management strategies for salty soil reclamation,it is essential to improve soil salinity assessment pro cess/mechanism and to adopt new approaches and techniques.T his study mapped a recovered area of 7200 m2 to assess and verify variations in soil salinity in space and time in K airouan region in Central Tunisia,taking into account the thickness of soil *** electromagnetic conductivity meters(EM38 and EM31)were used to measure the electrical conductivity of saturated soil-paste extract(ECe)and apparent electrical conductivity(E Ca).Multiple linear regression was established between ECe and ECa,and it was revealed that ECa-EM38 is optimal for E Ce prediction in the surface *** maps demonstrated that the spatial structure of soil salinity in the region of interest was relatively unchanged but varied *** in salinity at the soil surface was greater than that at a *** findings can not only be used to track soil salinity variations and their significance in the field but also help to identify the spatial and temporal features of soil salinity,thus improving the efficiency of soil management.

关键词： electrical conductivity soil salinity saturated paste extract apparent electrical conductivity multiple linear regression Tunisia

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Estimating Exchangeable Sodium Percentage from Sodium Adsorption Ratio of Salt-Affected Soil in the Songnen Plain of Northeast China

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Pedosphere 2011年第2期21卷 271-276页

作者： CHI Chun-Ming ZHAO Chang-Wei SUN Xiao-Jing WANG Zhi-Chun Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun 130012 (China) Graduate University of Chinese Academy of Sciences Beijing 100049 (China)

Soil exchangeable sodium percentage (ESP) and sodium adsorption ratio (SAR) are commonly used to assess soil *** between ESP and SAR of saturated pasted extract (SAR e) or of 1:5 (m:m) mixture soil to water (SAR 1:5) has been documented to predict ESP from *** limited studies have been undertaken to model soil ESP based on soil SAR in the Songnen Plain,Northeast *** this study,117 soil samples were used to predict ESP from SAR e and SAR 1:5 of salt-affected soils in western Songnen *** ESP was highly related (r 2 > 0.76,P < 0.001) with SAR e and SAR 1:*** of salt-affected soils in the Songnen Plain could be predicted using a logarithmic regression equations of ESP=10.72 · ln(SAR e) 15.36 and ESP=11.44 · ln(SAR 1:5) + 5.48.

关键词： ESP SAR saturated paste extract soil salinity soil sodicity

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