Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling. (20th July 2020)
- Record Type:
- Journal Article
- Title:
- Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling. (20th July 2020)
- Main Title:
- Reconnaissance scale mapping of salinity in three‐dimensions using EM38 and EM34 data and inversion modelling
- Authors:
- Wang, Jie
Zhao, Xueyu
Zhao, Dongxue
Arshad, Maryem
Zare, Ehsan
Triantafilis, John - Abstract:
- Abstract: 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 [ R 2 = .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.
- Is Part Of:
- Land degradation & development. Volume 31:Number 18(2020)
- Journal:
- Land degradation & development
- Issue:
- Volume 31:Number 18(2020)
- Issue Display:
- Volume 31, Issue 18 (2020)
- Year:
- 2020
- Volume:
- 31
- Issue:
- 18
- Issue Sort Value:
- 2020-0031-0018-0000
- Page Start:
- 2936
- Page End:
- 2951
- Publication Date:
- 2020-07-20
- Subjects:
- digital soil mapping -- electromagnetic induction -- proximal sensing -- soil salinity -- storage reservoirs
Land degradation -- Periodicals
Soil conservation -- Periodicals
Reclamation of land -- Periodicals
Land use -- Periodicals
Economic development -- Environmental aspects -- Periodicals
333.7315 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/ldr.3684 ↗
- Languages:
- English
- ISSNs:
- 1085-3278
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5146.796790
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15121.xml