Assessment of shallow subsurface characterisation with non-invasive geophysical methods at the intermediate hill-slope scale

8Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

Hill-slopes of several hectares in size represent a difficult scale for subsurface characterisation, as these landscape units are well beyond the scope of traditional point-scale techniques. By means of electromagnetic induction (EMI) and gamma-ray spectroscopy, spatially distributed soil proxy data were collected from a heterogeneous hill-slope site. Results of EMI mapping using the EM38DD showed that soil electrical conductivity (ECa) is highly variable at both temporal and spatial scales. Calibration of the integral ECa signal to a specific target like soil moisture is hampered by the ambiguous response of EMI to the clay-rich hill-slope underground. Gamma-ray results were obtained during a single survey, along with EMI measurements and selected soil sampling. In contrast to ECa, a noticeable correlation between Total Count and K emission data and soil-water content seemed to be present. Relevant proxy variables from both methods were used for k means clustering in order to distinguish between hill-slope areas with different soil conditions. As a result, we obtained a suitable partition of hill-slope that was comparable with a previously obtained zonation model based on ecological factors. © 2013 Author(s).

Figures

  • Fig. 1. Topography of the Heumöser catchment near Ebnit (Vorarlberg, Austria). The grey-shaded region indicate the open meadow area, on which geophysical mapping was focused. Numbers 1 to 4 denote the major hydrologic units (HRU). HH 4/5 and KB3 indicate the location of boreholes used for inclinometer measurements that specify the surface movement of the slope (see text).
  • Fig. 2. EMI measurements from May (left column) and June (right column) with different survey designs and location of reading points (a). White dots in the map on the right show soil sampling locations. The detail views show maps obtained by block ordinary kriging of ECa (mS m−1) using (b) the vertical (EC v) and (c) the horizontal dipole orientation (EC h), as well as (d) the profile ratio (PR). Coordinates on x- and y-axis are in metric BMN M28 Austrian coordinate system.
  • Table 1. Descriptive statistics of EMI measurements (in mS m−1) in horizontal (EC h) and vertical (EC v) dipole configuration and gammaray spectroscopy (in counts per 60 s). SD: standard deviation, CV: coefficient of variation [(SD/Mean)× 100].
  • Fig. 3. Scatterplot of gravimetric soil-water content and ECa data, separated into EC h and EC v according to the respective sensor orientation in June survey.
  • Fig. 4. Maps of interpolated gamma radiation (in counts per 60 s) using individual data of Total Count (top left panel), potassium or K (bottom left panel) uranium or U (top right panel), and thorium or Th (bottom right panel). Note the different scales of data ranges. Coordinates on x- and y-axis are in metric BMN M28 Austrian coordinate system.
  • Fig. 5. Scatterplot of gravimetric soil-water content and total gamma counts (left axis) and radioaktive K (right axis).
  • Table 2. Results of the PCA: the Component Loadings shows the variance of each variable explained by three factors. Maximum variances of the selected variables for cluster analysis are explained by different factors (italic). Below the respective percentage of the three factors which explain altogether 92 % of total variance.
  • Fig. 6. Normalised variance ratio criterion as a function of the optimum number of clusters.

References Powered by Scopus

A Dendrite Method Foe Cluster Analysis

5789Citations
N/AReaders
Get full text

Application of soil electrical conductivity to precision agriculture: Theory, principles, and guidelines

604Citations
N/AReaders
Get full text

Noninvasive Soil Water Content Measurement Using Electromagnetic Induction

306Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Monitoring hillslope moisture dynamics with surface ERT for enhancing spatial significance of hydrometric point measurements

34Citations
N/AReaders
Get full text

A direct comparison of EMI data and borehole data on a 1000 ha data set

14Citations
N/AReaders
Get full text

Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis

11Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Popp, S., Altdorff, D., & Dietrich, P. (2013). Assessment of shallow subsurface characterisation with non-invasive geophysical methods at the intermediate hill-slope scale. Hydrology and Earth System Sciences, 17(4), 1297–1307. https://doi.org/10.5194/hess-17-1297-2013

Readers over time

‘13‘14‘15‘16‘17‘18‘19‘20‘21‘2202468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 13

76%

Researcher 4

24%

Readers' Discipline

Tooltip

Earth and Planetary Sciences 9

60%

Environmental Science 4

27%

Agricultural and Biological Sciences 1

7%

Engineering 1

7%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0