resolution ground penetrating radar (gpr) measurements

1
TIME Mackenzie Vechio*, Xavier Comas, Michael Rebar, Umida Turamuratova 2. METHODOLOGY 1. ABSTRACT Tree anatomy is a critical aspect for properly understanding the patterns of transpiration and soil moisture distribution in trees. Moisture content distribution along the tree trunk can provide valuable information about the health of the tree and help detecting the presence of rotting or dry cavities. At the same time, internal anatomy dictates sap flow dynamics in trees which can provide critical information on water use and function under different environmental conditions. Despite this importance, current methods exploring the internal structure of trees are limited to traditional invasive methods, and only a handful of studies have used non-invasive geophysical methods like electrical resistivity or ground-penetrating radar (GPR) to explore various aspects of the tree anatomy. In this study we use a unique array of high-frequency GPR antennas (1,200 MHz) deployed in high-resolution transmission mode, to estimate changes in electromagnetic (EM) wave velocity, and use petrophysical models (like the complex refractive index model, CRIM) to infer moisture content variability within the tree trunk of several trees including softwood and a hardwood species. This study shows the potential of the method to non-invasively investigate the spatial distribution of moisture content in a variety of trees (both as one-dimensional profiles and tomographic images), as well as its temporal distribution when expanding surveys in time-lapse mode. Non-Invasive Investigation of the Internal Structure of Tree Trunks Using High- Resolution Ground Penetrating Radar (GPR) Measurements Department of Geosciences, Florida Atlantic University Prepared for GEER 2019 4. RESULTS Mount, G., Comas, X., 2014. Lestimating porosity and solid dielectric permittivity in the Miami Limestone using high- frequency ground penetrating radar (GPR) measurements at the laboratory scale. Water Resources Research, Vol. 50. Wharton et al., 1980 Advancements in electromagnetic propagation logging Soc. Petr. En. Paper 9041 b) Tree Diameter and Porosity a) Geophysical Measurements 3. EXPERIMENTAL SETUP Measuring stick Tree Caliper Field book 30 gallon tank a) spatial variability: discrete measurements on two different tree species and orientations b) temporal variability: time-lapse measurements after addition of 30 gallons of water 0 0.2 0.4 0.6 0.8 1 1.2 3 8 13 18 Height above tree roots (m) Moisture Content (%) oy532 oy627 oy725 Live Oak dry c) Model: from waves to water Complex Refractive Index Model (CRIM) : relative dielectric permittivity of air (=1) : relative dielectric permittivity of water (temperature dependent) : relative dielectric permittivity wood (pine=0.42, oak=2.5) ACKNOWLEDGMENTS This work was assisted by Carlos Coronado from the SFWMD who let us borrow an increment borer, and by the tireless data collection efforts of Umida Turamuratova, Michael Rebar, Ricky Nave, Dallan Vecchio and Tiffany Sanchez 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 3 8 13 18 Height above tree roots (m) Moisture Content (%) py138 py318 py608 Slash Pine dry -High resolution GPR measurements provide 1D vertical distribution of moisture content at cm scale level resolution -Time-lapse measurements show moisture content variability vertically as water is added and show differences in water intake for different tree species -Future work will include tomography to capture 2D distribution of moisture content along different tree species to better understand moisture content distribution at specific fieldsite conditions 5. DISCUSSION To target: a) Spatial variability: - Tree species: Slash Pine vs. Live Oak - Transect orientation: x vs. y 0 0.2 0.4 0.6 0.8 1 1.2 2 7 12 Height above tree roots (m) Moisture Content (%) Series4 Live Oak y x 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 5 10 15 Height above tree roots (m) Moisture Content (%) y x Slash Pine x y b) Temporal variability: - Slash Pine vs. Live Oak: from dry to 30 Gal added

Upload: others

Post on 27-Feb-2022

13 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Resolution Ground Penetrating Radar (GPR) Measurements

TIME

Mackenzie Vechio*, Xavier Comas, Michael Rebar, Umida Turamuratova

2. METHODOLOGY

1. ABSTRACT

Tree anatomy is a critical aspect for properly understanding the patterns of transpiration and soil moisture distribution in trees. Moisture content distribution along the tree trunk can provide valuable information about the health of the tree and help detecting the presence of rotting or dry cavities. At the same time, internal anatomy dictates sap flow dynamics in trees which can provide critical information on water use and function under different environmental conditions. Despite this importance, current methods exploring the internal structure of trees are limited to traditional invasive methods, and only a handful of studies have used non-invasive geophysical methods like electrical resistivity or ground-penetrating radar (GPR) to explore various aspects of the tree anatomy. In this study we use a unique array of high-frequency GPR antennas (1,200 MHz) deployed in high-resolution transmission mode, to estimate changes in electromagnetic (EM) wave velocity, and use petrophysical models (like the complex refractive index model, CRIM) to infer moisture content variability within the tree trunk of several trees including softwood and a hardwood species. This study shows the potential of the method to non-invasively investigate the spatial distribution of moisture content in a variety of trees (both as one-dimensional profiles and tomographic images), as well as its temporal distribution when expanding surveys in time-lapse mode.

Non-Invasive Investigation of the Internal Structure of Tree Trunks Using High-Resolution Ground Penetrating Radar (GPR) Measurements

Department of Geosciences, Florida Atlantic UniversityPrepared for GEER 2019

4. RESULTS

Mount, G., Comas, X., 2014. Lestimating porosity and solid dielectric permittivity in the Miami Limestone using high-frequency ground penetrating radar (GPR) measurements at the laboratory scale. Water Resources Research, Vol. 50.

Wharton et al., 1980 Advancements in electromagnetic propagation logging Soc. Petr. En. Paper 9041

b) Tree Diameter and Porosity

a) Geophysical Measurements

3. EXPERIMENTAL SETUP

Measuring stick

Tree Caliper

Field book

30 gallon tank

a) spatial variability:

discrete measurements on two different tree

species and orientations

b) temporal variability:time-lapse

measurements after addition of

30 gallons of water

0

0.2

0.4

0.6

0.8

1

1.2

3 8 13 18

He

igh

t ab

ove

tre

e r

oo

ts (

m)

Moisture Content (%)

oy532

oy627

oy725

Live Oak

dry

c) Model: from waves to water Complex Refractive Index Model (CRIM)

: relative dielectric permittivity of air (=1)

: relative dielectric permittivity of water (temperature dependent)

: relative dielectric permittivity wood (pine=0.42, oak=2.5) ACKNOWLEDGMENTS

This work was assisted by Carlos Coronado from the SFWMD who let us borrow an increment borer, and by the tireless data collection efforts of UmidaTuramuratova, Michael Rebar, Ricky Nave, DallanVecchio and Tiffany Sanchez

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

3 8 13 18

He

igh

t ab

ove

tre

e r

oo

ts (

m)

Moisture Content (%)

py138

py318

py608

Slash Pine

dry

-High resolution GPR measurements provide 1D vertical distribution of moisture content at cm scale level resolution-Time-lapse measurements show moisture content variability vertically as water is added and show differences in water intake for different tree species-Future work will include tomography to capture 2D distribution of moisture content along different tree species to better understand moisture content distribution at specific fieldsite conditions

5. DISCUSSION

To target:

a) Spatial variability:

- Tree species: Slash Pine vs. Live Oak

- Transect orientation: x vs. y

0

0.2

0.4

0.6

0.8

1

1.2

2 7 12

He

igh

t ab

ove

tre

e r

oo

ts (

m)

Moisture Content (%)

Series1 Series4

Live Oak

yx

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

5 10 15

He

igh

t ab

ove

tre

e r

oo

ts (

m)

Moisture Content (%)

px130 py138yx

Slash Pine

x

y

b) Temporal variability:

- Slash Pine vs. Live Oak: from dry to 30 Gal added