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An integrated methodology for assessing soil salinization, a pre-condition for land desertification

机译:评估土壤盐渍化的综合方法,这是土地荒漠化的前提

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Soil salinization is mainly an arid-zone problem leading to land desertification. It reduces soil quality and limits the growing of crops. The control of this problem involves inventorying, mapping, and monitoring soil salinity, which requires cost-effective, rapid, and reliable methods for determining soil salinity in the field, and rapid, specific data-processing methods. This paper shows the usefulness of an integrated methodology involving a hand-held electromagnetic sensor (Geonics-EM38) and the ESAP (Electrical conductivity or salinity, Sampling, Assessment and Prediction) software for assessing, predicting, and mapping soil salinity. The salinity of a 0.45-ha surface-irrigated plot was analysed by reading the EM38 at 161 locations, and by employing the ESAP software for calibrating the sensor, and predicting and mapping soil salinity at multiple depths. To calibrate the EM38 sensor, the electrical conductivity of the saturation extract (ECe) of 57 soil samples taken at 19 points was measured. The multiple linear regression (MLR) calibration model predicted ECe from EM38 readings with R~2 ranging from 0.71 to 0.95 for the multiple-depth profile. Furthermore, the MLR calibration model provided field range average estimates of soil salinity. Fifty-seven percent of the field had ECe values above 4 dS m~(-1). The salinity levels and distribution in the root zone identified areas with inverted profiles, which revealed drainage problems. The integrated method presented is a breakthrough in the ability to accurately and rapidly assess soil salinity in agricultural lands.
机译:土壤盐渍化主要是导致土地沙漠化的干旱区问题。它降低了土壤质量并限制了农作物的生长。该问题的控制涉及清查,制图和监测土壤盐分,这需要经济有效,快速而可靠的方法来确定田间土壤盐分,还需要快速,特定的数据处理方法。本文展示了一种集成方法的实用性,该方法涉及手持式电磁传感器(Geonics-EM38)和ESAP(电导率或盐度,采样,评估和预测)软件,用于评估,预测和绘制土壤盐度。通过读取161个位置的EM38,并使用ESAP软件校准传感器,并预测和绘制多个深度的土壤盐分,来分析0.45公顷地面灌溉田的盐分。为了校准EM38传感器,测量了在19个点采集的57个土壤样品的饱和提取物(ECe)的电导率。多元线性回归(MLR)校准模型根据EM38读数预测ECe,对于多深度剖面,R〜2在0.71至0.95之间。此外,MLR校准模型提供了土壤盐度的田间平均估计值。 ECe值的百分之五十七高于4 dS m〜(-1)。根区的盐度水平和分布确定了剖面倒置的区域,这揭示了排水问题。提出的综合方法是准确快速评估农业用地土壤盐分能力的一项突破。

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