Distributed Temperature Sensing: A Transformative Technology in Water Resources PowerPoint PPT Presentation

presentation player overlay
About This Presentation
Transcript and Presenter's Notes

Title: Distributed Temperature Sensing: A Transformative Technology in Water Resources


1
Distributed Temperature Sensing A Transformative
Technology in Water Resources
Scott W. Tyler University of Nevada, Reno Dept.
of Geologic Sciences and Engineering styler_at_unr.ed
u http//wolfweb.unr.edu/homepage/tylers/index.htm
l/
2
What is Distributed Temperature Sensing (DTS)
  • The measurement of temperature (and) using only
    the properties of a fiber-optic cable.
  • The fiber-optic cable serves as the thermometer,
    with a laser serving as the illumination source.
  • Measurements of temperature every 1-2 meters for
    as long as 30 km can be resolved, every 1-60
    minutes, with temperature resolution of
    0.01-0.5oC.
  • Spatial location of temperature is resolved
    identically to Time Domain Reflectometry

3
Optical Fiber Basic Construction
Total Internal Reflection
Lower Refractive Index
Higher Refractive Index
Ta
Core
Cladding
Ta Acceptance Angle
4
Raman Scattering for Temperature
  • Thermal energy drives oscillations within the
    lattice of the doped amorphous glass making up
    the fiber.
  • When excited by photons (from the laser
    illumination), the interactions between the
    photons and the electrons of the solid occurs,
    and results in light being scattered (re-emitted)
    and shifted to higher and lower frequencies
  • The scattered light is shifted in frequency
    equivalent to the resonant frequency of the
    oscillating lattice ( a constant for any
    particular molecular structure)
  • Higher intensity of thermal oscillation produces
    higher intensities of the scattered light.

5
Distributed Temperature Sensing
Rayleigh Scattering
Stokes
Anti-Stokes
shifts with temperature
Brillouin
Raman (Anti-Stokes) in amplitude
Raman (Stokes)
Brillouin in frequency
Amplitude/ Intensity
Frequency
6
  • Currently used in fire monitoring, oil pipeline
    monitoring, high tension electrical transmission
    cables, down hole monitoring of oil production,
    dam seepage.
  • Detector serves as both OTDR (for distance) and
    intensity (for Stokes and anti-Stokes)

Figure courtesy of AP Sensing.
7
Advantages of DTS
  • The cable serves as the measuring device
  • Fiber optic cable is relatively inexpensive
    (0.50-10/meter) and robust and have small
    thermal inertia.
  • Once installed, continuous measurements do NOT
    disturb the fluid column (wells) or soils.
  • Very high resolution and long cables can provide
    high density coverage of a landscape, lake, or
    groundwater reservoir.
  • Installations can be temporary or permanent.

8
Example Applications
  • Snow dynamics (Dozier, McNamara, Burak, Selker)
  • Measuring mixing in the thermocline of Lake Tahoe
    (Selker, Schladow Torgersen and Hausner
  • Towards developing integrated soil moisture at
    large spatial scales (Selker, Miller, Hatch)
  • Cave air circulation (Wilson, Barber and
    Jorgensen)
  • Stream/Groundwater Exchanges (Conklin, Bales,
    Hopmans)

9
Challenges of Snow Installations
  • Cold Temperatures Freeze/Thaw common
  • Rodents/Burrowing animals
  • Lack of access throughout winter
  • Significant strains possible due to creep,
    consolidation, metamorphosis and avalanche
  • Small thermal gradients need to be resolved
  • Solar heating on fiber, particularly in late
    stages of melt when snow is dominated by ice may
    affect observed temperatures

10
Mammoth Mountain Ski Area (Sierra Nevada)
11
(No Transcript)
12
Typical DTS Signals
13
Bare Ground vs. Buried Cable
Note Scale Difference
Below Snow
Diurnal variations clearly define bare and snow
covered areas
From Tyler et al., 2008
14
Lake Tahoe, CA Test Site
15
Cable Deployment
  • Cables were deployed from the UC Davis research
    vessel John LeConte
  • Cable was lowered to the bottom of the lake, then
    pulled up 20 m
  • Total depth was approximately 411 m.

16
Weather Conditions June 6
  • The previous day was very cold and windy
  • Strong westerly's

17
Weather Conditions June 7
  • Warm, calm day
  • Smooth water

18
Complete Vertical Profile Single Ended
19
Detailed View of the Thermocline at 40 meters
From Tyler et al., 2008
20
Measurement of Soil Moisture during Irrigated
Agriculture
  • We can measure soil moisture only in the very
    uppermost portions of the soil with radar, but
    few methods are available to measure spatially
    distributed soil moisture IN the root zone!
  • Here, we use a passive approach, relying upon
    solar heating and time lag at 15 cm, t, to
    estimate the soil thermal diffusivity every 1
    meter along the cable.
  • t (x, y, t) f(thermal diffusivity, depth, x, y)
  • t (t) f(thermal diffusivity) f(?)
  • Active methods, in which a heater cable provides
    the input have also been developed at OSU and
    LBL and are analogous to heat dissipation
    sensors.

21
Installing fiber optic cable
1000m of armored cable installed at 15cm
depth Dragged and seeded
22
(No Transcript)
23
Temperature vs. Time
DRY SOIL
KT 30 cm2/hr
? 7
30 25 20 15 10
35 30 25 20 15
Soil Temperature (ºC)
Air Temperature (ºC)
soil temperature
air temperature
7/26 7/27 7/28
Time
24
Soil Moisture Thermal Diffusivity
25 20 15 10 5
100 80 60 40 20
irrigation event
irrigation event
drying
Soil Moisture () - symbols
Thermal Diffusivity (cm2/hr) - lines
drying
DRY SOIL
7/26 7/27 7/28 7/29
25
Measuring Air Flow in Carlsbad Caverns Nat. Park
  • Air circulation in CCNP an important aspect of
    cave biology and cave management
  • Air circulation and thermal convection is
    believed to control many cave feature formation
    processes.
  • Air circulation may be an analog to fluid
    convection during cave formation. Hot, saline
    fluids believed to be dominant cave forming
    mechanism.

26
(No Transcript)
27
Cave Air Temperatures
Cave Entrance
Wet Area
28
VERTICAL THERMAL PROFILES IN A TALL (gt30 m ) ROOM
29
Stream/Meadow MonitoringSequoia National Park
30
Stream Temperature Profile
Meadow
Deep Pools and Stream
Ice Bath
31
Conclusions and Vision
  • DTS can provide fundamental insights into
    exchange processes and thermal stratification
    (Tahoe gravity waves, cave circulation, diurnal
    variations in stream dead-zone volumes).
  • Data granularity allows us to probe small scale
    processes, while at the same time measuring
    across broad spatial scales (snow monitoring,
    soil moisture measurement)
  • CUAHSI/NSF-sponsored workshops in 2007 and 2008
    have trained 70 professionals and students, and
    also shaped our views on technology transfer.
    Another planned for July 2009 in Denmark.
  • Other applications on-going
  • Borehole logging and fracture flow, ASR
  • Monitoring prescribed fire soil temperatures
  • Lake/atmosphere exchange and evaporation from
    lakes
  • Vertical snow temperature monitoring
  • Stream/fish habitat recovery, both for cold water
    species (salmon) and thermophiles (Devils Hole
    pupfish)
  • Monitoring solar inputs to aquatic systems.
Write a Comment
User Comments (0)
About PowerShow.com