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Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling
Land Degradation & Development ( IF 3.6 ) Pub Date : 2020-06-03 , DOI: 10.1002/ldr.3684
Jie Wang 1 , Xueyu Zhao 1 , Dongxue Zhao 1 , Maryem Arshad 1 , Ehsan Zare 1 , John Triantafilis 1
Affiliation  

In irrigated areas, the spectre of soil salinisation is ever‐present. To obtain baseline data to map salt, or the soil electrical conductivity of a saturated soil paste extract (ECe, dS m−1), we use electromagnetic (EM) data from a survey of EM38 and EM34 data with EM inversion software (EM4Soil). This is because the collected apparent electrical conductivity (ECa, mS m−1) can be inverted to estimate true electrical conductivity (σ, mS m−1) and correlated with ECe. To do this we use a quasi‐two dimensional (Q‐2D) model along a pseudo‐transect, which includes seven soil sample locations, to make a linear regression (LR) calibration between σ and ECe (i.e., ECe = 0.0122 × σ − 0.0535 [R2 = .71]). From the joint inversion of interpolated EM38 and EM34 ECa across 40,000 ha, a quasi‐three dimensional (Q‐3D) model was then used to predict ECe. The model was validated using 30 soil sample locations scattered across the area. The agreement between predicted and measured ECe was moderate (Lin's concordance = 0.59) and conclude that useful information on a reconnaissance scale can be obtained and indicates where more detailed information may be collected to confirm areas of moderate salinity. To better predict ECe, more ECa could be collected on smaller grid spacings (i.e., 0.5 km and 1 km in irrigated and dryland areas, respectively). To improve resolving depth of ECe we recommend including ECa from a single‐frequency multiple‐coil array DUALEM‐421.

中文翻译:

利用EM38和EM34数据及反演模型对三维盐度进行勘测规模映射

在灌溉地区,土壤盐渍化的幽灵无处不在。为了获得基线数据以绘制盐或饱和土壤泥浆提取物的土壤电导率(EC e,dS m -1),我们使用来自EM反转软件(EM4Soil)的EM38和EM34数据调查中的电磁(EM)数据)。这是因为可以将收集到的表观电导率(EC a,mS m -1)反转以估算真实电导率(σ,mS m -1)并与EC e相关。为此,我们沿伪断面使用准二维(Q-2D)模型,该模型包括七个土壤样本位置,以在σ之间进行线性回归(LR)校准。和EC e(即EC e = 0.0122×σ-0.0535 [ R 2 = .71])。从内插和EM38 EM34 EC的联合反演一个横跨40000公顷,准三维(Q-3D)模型,然后用其预测EC È。使用散布在该区域的30个土壤样本位置对模型进行了验证。EC e的预测值与实测值之间的一致性为中等(Lin一致性= 0.59),并得出结论,可以得到有关侦察规模的有用信息,并指出可以在何处收集更详细的信息以确认中等盐度区域。为了更好地预测EC e,更多EC a可以在较小的网格间距上收集(即在灌溉和干旱地区分别为0.5 km和1 km)。为了提高EC e的分辨深度,我们建议包括单频多线圈阵列DUALEM-421中的EC a
更新日期:2020-06-03
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