WestLand Resources, Inc. prepared and gave this presentation during a Technology Transfer meeting with the Forest Service and the various contractors working on the Rosemont Copper project. The presentations were given during November 2008.
Instantaneous Frequency Estimation Based On Time-Varying Auto Regressive Mode...CSCJournals
Time-varying autoregressive (TVAR) model is used for modeling non stationary signals, Instantaneous frequency (IF) and time-varying power spectral density are then extracted from the TVAR parameters. TVAR based Instantaneous frequency (IF) estimation has been shown to perform very well in realistic scenario when IF variation is quick, non-linear and has short data record. In TVAR modeling approach, the time-varying parameters are expanded as linear combinations of a set of basis functions .In this article, time poly nominal is chosen as basis function. Non stationary signal IF is estimated by calculating the angles of the roots (poles) of the time-varying autoregressive polynomial at every sample instant. We propose modified covariance method that utilizes both the time varying forward and backward linear predictors for estimating the time-varying parameters and then IF estimate. It is shown that performance of proposed modified covariance method is superior than existing covariance method which uses only forward linear predictor for estimating the time-varying parameters. The IF evaluation based on TVAR modeling requires efficient estimation of the time-varying coefficients by solving a set of linear equations referred as the general covariance equations. When covariance matrix is of high order, usual approach such as Gaussian elimination or direct matrix inversion is computationally incompetent for solving such a structure of equations. We apply recursive algorithm to competently invert the covariance matrix, by means of Wax-Kailath algorithm which exploits the block-Toeplitz arrangement of the covariance matrix for its recursive inversion, which is the central part of this article. The order determination of TVAR model is addressed by means of the maximum likelihood estimation (MLE) algorithm.
Instantaneous Frequency Estimation Based On Time-Varying Auto Regressive Mode...CSCJournals
Time-varying autoregressive (TVAR) model is used for modeling non stationary signals, Instantaneous frequency (IF) and time-varying power spectral density are then extracted from the TVAR parameters. TVAR based Instantaneous frequency (IF) estimation has been shown to perform very well in realistic scenario when IF variation is quick, non-linear and has short data record. In TVAR modeling approach, the time-varying parameters are expanded as linear combinations of a set of basis functions .In this article, time poly nominal is chosen as basis function. Non stationary signal IF is estimated by calculating the angles of the roots (poles) of the time-varying autoregressive polynomial at every sample instant. We propose modified covariance method that utilizes both the time varying forward and backward linear predictors for estimating the time-varying parameters and then IF estimate. It is shown that performance of proposed modified covariance method is superior than existing covariance method which uses only forward linear predictor for estimating the time-varying parameters. The IF evaluation based on TVAR modeling requires efficient estimation of the time-varying coefficients by solving a set of linear equations referred as the general covariance equations. When covariance matrix is of high order, usual approach such as Gaussian elimination or direct matrix inversion is computationally incompetent for solving such a structure of equations. We apply recursive algorithm to competently invert the covariance matrix, by means of Wax-Kailath algorithm which exploits the block-Toeplitz arrangement of the covariance matrix for its recursive inversion, which is the central part of this article. The order determination of TVAR model is addressed by means of the maximum likelihood estimation (MLE) algorithm.
You need to understand how water is moving (or not moving) through your soil. Gathering precise, accurate, and timely data is the first hurdle, which can be conquered with the proper instrumentation. But how do you ensure you get the most thorough and meaningful insights from every data set?
In this 30-minute webinar, METER research scientist Leo Rivera explores examples of hydraulic conductivity data you might encounter during your research and breaks down what to look for, what to avoid, and how to reach the most insightful conclusions your data has to offer.
In this webinar:
-Learn how to interpret hydraulic conductivity data
- Take a deep dive into SATURO data and how to make the most of it
- Explore data collected in the lab vs. field
- Examine impacts of land use and soil health
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Engineering analytics presented information on the groundwater modeling performed for the Rosemont Copper Project to a group of well owners. The presentation was given on April 3, 2012.
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Engineering analytics presented information on the groundwater modeling performed for the Rosemont Copper Project to a group of well owners. The presentation was given on April 3, 2012.
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Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
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International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
23. Objec7ves
of
PPC
survey
• Survey
for
PPC
along
a
15.8-‐mile
120-‐footwide
(229-‐acre)
proposed
route
for
the
water
line
from
near
Sahuarita
to
Helve7a
• Map
the
loca7on
of
each
PPC
plant
and
determine
on
which
alluvial
units
this
cactus
was
found
in
this
survey.
25. Results
of
PPC
Survey
• 35
PPC
plants
were
located
during
the
survey
in
October
2008
• 19
of
these
plants
occurred
on
very
old
(early
to
middle
Pleistocene)
alluvial
deposits
near
the
mouth
of
Sycamore
Canyon.
About
half
of
these
were
on
the
red
clay
surface;
the
other
half
were
in
areas
incised
or
veneered
with
younger
soils.
• 16
plants
occurred
on
late
Pleistocene
to
early
Holocene
alluvium
on
the
edge
of
the
Santa
Cruz
floodplain.
26. Results
of
PPC
Survey
• No
PPC
were
found
in
the
intervening
region
along
the
survey
route.
• Based
on
Bureau
of
Reclama7on
surveys
for
PPC
on
the
Santa
Rita
Experimental
Range
and
surveys
towards
Corona
de
Tucson,
the
longer
alluvial
surfaces
have
been
stable
(middle
to
early
Pleistocene),
generally
the
more
PPC
plants
are
found.
28. Objec7ves
–Agave
Impact
Area
• Determine
overall
density
of
agave
roseaes
in
impact
area
• Determine
density
of
successful
flowering
stems
in
impact
area
• Determine
impacts
of
herbivory
on
success
of
flowering
stems
in
impact
area
• Determine
size
class
structure
of
popula7on
as
representa7ve
of
age
class
structure
29. Objec7ves
–Agave
Regional
Area
• Es7mate
density
of
agave
roseaes
in
regional
area
• Determine
density
of
successful
flowering
stems
in
regional
area
• Make
comparisons
with
impact
area
30. Methods
–
Impact
Area:
• Subset
of
1
ha
units
selected
at
random
from
all
ha
units
in
impact
area
• Detailed
count
of
all
agaves,
by
size
class,
in
0.25
ha
por7on
of
random
unit
• Count
of
all
current
flowering
stems
and
flowering
stems
from
previous
years,
including
those
lost
to
herbivory,
with
size
measurements
of
flowering
roseaes
31. Methods
–
Impact
Area:
• Count
of
all
successful
flowering
stems
on
1
ha
sampling
unit
• Addi7onal
informa7on
on
slope
aspect,
geological
substrate,
and
presence
of
drainages
33. Methods
–
Regional
Area:
• Three
scales
for
analysis:
– Within
Rosemont
Property
but
outside
of
impact
area
– Within
5
mi
circle
centered
in
proposed
project
loca7on
– Within
20
mile
circle
centered
in
proposed
project
loca7on
• Randomly
selected
points
along
public
access
roads
34. Methods
–
Regional
Area:
• Count
all
roseaes
and
current,
successful
flowering
stems
within
quadrant
selected
at
random
• Map
coun7ng
area
on
lap-‐pad
computer
with
detailed
aerial
photography
of
region
• Addi7onal
informa7on
on
slope
aspect,
geological
substrate,
and
presence
of
drainages
36. Agave
Survey
Results
–Impact
Area
• 76
one-‐hectare
plots
surveyed
• Roseae
density
range
from
0
to
1,088
plants/
ha
• Mean
roseae
density
is
140.2
plants/ha
(standard
devia7on
166.7;
standard
error
of
±19.12)
• Flowering
stem
density
range
from
0
to
13/ha
37. Agave
Survey
Results
–Impact
Area
• Flowering
stem
density
is
2.91/ha
(std.
dev.
3.76,
s.e.
±0.43)
• Geological
substrate
and
slope
aspect
had
no
significant
effect
on
agave
density
• Herbivory
has
significant
impact,
causing
the
loss
of
58%
of
current
year
flowering
aaempts
• Long-‐term
herbivory
impact
is
about
46%
of
all
flowering
aaempts
39. Agave
Survey
Results
–
Regional
Area
• 117
plots
surveyed
–
Total
area
=
500
ha
• Roseae
density
range
from
0
to
340
plants/ha
• Mean
roseae
density
is
12.3
plants/ha,
(standard
devia7on
37.8;
standard
error
of
±3.49)
40. Agave
Survey
Results
–
Regional
Area
• Flowering
stem
density
range
from
0
to
57.1/
ha
• Flowering
stem
density
is
2.78/ha
(std.
dev.
8.56,
s.e.
±
0.79)
41. Distribu7on
of
Agave
Densi7es
Distribution of Agave Densities
35
30
Number of Plots in Group
25
20
15
10
5
0
1 2 3 4 5 6 7 8 9 10
Density Group (n*50 plants/ha)
42. Agave
Size
Class
Distribu7on
Agave Size Class Distribution
400
350
Numbers of Rosettes
300
250
200
150
100
50
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Size Class - Decimeters
43. Agave
Density,
Running
Mean
Running Mean and Standard Deviation
350.00
300.00
Agave Density, Plants/ha
250.00
200.00
150.00
100.00
50.00
0.00
1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73
Sample Number
Running Mean, plants/ha Running Standard Deviation
45. Regional
Flowering
Stem
Density,
Running
Mean
Regional Flowering Stem Density
14.0000
12.0000
Flowering Stems/ha
10.0000
8.0000
6.0000
4.0000
2.0000
0.0000
1 9 17 25 33 41 49 57 65 73 81 89 97 105 113
Plot Number
Running Mean Running Standard Deviation
46. Conclusions
1:
• Palmer’s
agaves
on
the
Rosemont
Site
provide
a
significant
foraging
resource
for
lesser
long-‐nosed
bats
during
their
late
summer,
post-‐maternity
dispersal
• Agave
densi7es
in
impact
area
and
in
regional
area
are
highly
variable
and
have
no
obvious
rela7onships
with
substrate
or
slope
aspect
• Rosemont
Impact
Area
has
size
class
distribu7on
that
indicates
normal,
healthy
popula7on
of
agaves
47. Conclusions
2:
• Herbivory
has
significant
impact
on
flowering
success
• No
difference
in
successful
flowering
stem
density
between
impact
area
and
regional
area
• Rosemont
Impact
Area
provides
nothing
unique
with
regard
to
agave
popula7ons
• Sampling
for
agave
roseae
density
on
regional
scale
is
not
representa7ve
of
actual
popula7ons
49. LLNB
Survey
Objec7ves
• Evaluate
bat
foraging
on
Rosemont
Property
• Evaluate
bat
foraging
outside
of
Impact
Area
• Evaluate
bat
roos7ng
on
Rosemont
Property
• Evaluate
bat
roos7ng
regionally
50. LLNB
Survey
Methods
• Ultrasonic
acous7c
and
infrared
surveys
on
Rosemont
Property
• Ultrasonic
acous7c
and
infrared
surveys
outside
of
Impact
Area
• Poten7al
roost
site
surveys
on
Rosemont
Property
• Poten7al
roost
site
surveys
in
regional
area
51. Acous7c
Survey
Loca7ons
• Between
McCleary
and
Scholefield
Canyons
• East
Side
of
Gunsight
Pass
• Box
Canyon
• Near
Scholefield
Spring
• Upper
McCleary
Canyon
57. Acous7c
Survey
Results
-‐
1:
• LLNB
recorded
at
23
out
of
27
sensor
loca7ons
• Mexican
long-‐tongued
bat
(MLTB)
recorded
at
4
out
of
27
sensor
loca7ons
• Intensity
of
foraging
ac7vity
increased
with
decrease
in
flower
availability
58. Acous7c
Survey
Results
-‐
2:
• Foraging
intensity
highly
variable,
from
0
to
over
500
hits
on
an
agave
flower
in
2
hours
• Foraging
is
frequently
visual,
with
no
ultrasonic
calls
• At
least
one
bat
species
recorded
at
all
loca7ons
59. Acous7c
Survey
Results
–
3:
• 7
species
iden7fied,
at
least
10
species
recorded
• Gunsight
Pass
appears
to
be
corridor
for
several
species
of
bats
(at
least
9
recorded)
• Other
species:
big
brown
bat,
fringed
myo7s,
pocketed
free-‐tailed
bat,
western
pipistrel,
Brazilian
free-‐tailed
bat
70. Roost
Sites
-‐
Rosemont
No Evidence of Bats
Evidence of Insectivorous Bats
or Unknown Potential
Evidence of Nectar Feeding Bats
Confirmed Presence of LLNB
71. Roost
Survey
Summary
1
• Total
of
105
sites
examined
• LLNB
confirmed
presence
in
6
sites
• MLTB
confirmed
presence
in
14
sites
• Evidence
of
nectar-‐feeding
bats
in
21
sites
72. Roost
Survey
Summary
2
• 43
sites
have
evidence
of
bat
use
• Insec7vorous
bat
species
observed:
cave
myo7s,
Townsend’s
big-‐eared
bat,
fringed
myo7s,
and
big
brown
bat
73. Regional
Roost
Sites
No Evidence of Bats
Evidence of Insectivorous Bats
or Unknown Potential
Evidence of Nectar Feeding Bats
Confirmed Presence of LLNB
74. Conclusions
–
LLNB
Foraging
• Agaves
on
Rosemont
Site
and
surrounding
areas
are
heavily
used
by
LLNB
for
late
summer
foraging
• It
is
likely
that
every
flowering
agave
will
be
visited
by
LLNB
at
some
point
during
this
season
• Rosemont
provides
an
important
foraging
resource
75. Conclusions
–
Bat
Roost
Sites
1
• Many
abandoned
mines
in
Rosemont
Impact
Area
and
in
the
surrounding
vicinity
appear
to
provide
suitable
roos7ng
habitat
for
LLNB
• Evidence
of
nectar-‐feeding
bats
(LLNB
or
MLTB)
observed
in
21
sites
• LLNB
presence
confirmed
in
low
numbers
in
only
one
adit
in
Rosemont
Impact
Area
76. Conclusions
–
Bat
Roost
Sites
2
• LLNB
presence
confirmed
in
low
numbers
in
one
adit
on
Rosemont
Unpatented
Claim
Area
• LLNB
presence
confirmed
in
good
numbers
in
four
adits
in
the
vicinity.
78. Objec7ves
of
Ranid
Survey
• Iden7fy
poten7al
suitable
habitat
for
ranids
within
the
Impact
Area
• Determine
the
presence
or
absence
of
ranids
(par7cularly
Chiricahua
leopard
frog)
within
the
Impact
Area
and
surrounding
areas
• Iden7fy
the
likely
source
of
dispersing
ranids
(Chiricahua
leopard
frog)
in
the
Rosemont
Vicinity
79. Ranid
Survey
Methods
• Survey
of
drainages,
tanks,
and
springs
within
the
Impact
Area
in
search
of
suitable
habitat
• Visual
Encounter
Survey
Method
within
features
suppor7ng
suitable
habitat
• Dip
net
capture
and
call
playback
for
iden7fica7on
purposes
• Precau7ons
for
disease
preven7on
81. Chiricahua
Leopard
Frog
Findings
• One
Chiricahua
leopard
frog
observed
within
the
Impact
Area
–
Lower
Stock
Tank
• Frogs
observed
outside
the
Impact
Area
but
within
the
Rosemont
Property
– Oak
Tree
Canyon
(One
Chiricahua
leopard
frog)
– Highway
Tank
(One
Chiricahua
leopard
frog)
82. Chiricahua
Leopard
Frog
Findings
• Frogs
observed
outside
the
Rosemont
Property
– East
Dam
(One
Chiricahua
leopard
frog)
– Box
Canyon
(Several
Chiricahua
leopard
frogs)
– Sycamore
Spring
and
Sycamore
Canyon
(Two
Chiricahua
leopard
frogs)
– Lower
Davidson
Canyon
above
Cienega
Creek
(Several
lowland
leopard
frogs)
85. Sonorella
rosemontensis
Pilsbry
• Described
as
a
new
species
by
Pilsbry
in
1939
• Type
locality
“northern
end
of
the
Santa
Rita
Mountains
near
Rosemont
(J.
H.
Ferriss),
Type
166642
A.N.S.P.;
Helve7a;
Greaterville”
• Pilsbry’s
(1939)
treatment
of
S.
rosemontensis
would
suggest
this
species
is
a
narrow
endemic
restricted
to
an
area
somewhere
near
Rosemont
86. Objec7ves
of
Field
and
Literature
Surveys
1.
Review
the
taxonomic
literature
on
Sonorella
rosemontensis,
the
descrip7ons
of
the
type
specimens
used,
and
the
concept(s)
of
species
used
by
the
biologists
working
with
Sonorella.
87. Objec7ves
of
Field
and
Literature
Surveys
2.
Conduct
field
surveys
for
Sonorella
(on
talus
slopes
and
scree)
in
the
Rosemont
project
area
and
other
areas
of
the
Santa
Rita
Mountains.
88. Objec7ves
of
Field
and
Literature
Surveys
3.
Visit
talus
slopes
to
observe
how
ac7ve
the
slopes
are
in
terms
of
the
addi7on
of
new
rock
spalling
from
above,
areas
of
slope
failure,
and
areas
of
rela7vely
stable
slopes.
89. Taxonomy
of
Sonorella
rosemontensis
Timeline
90. Sonorella
rosemontensis
• S.
rosemontensis
shell
is
like
S.
hesterna
or
S.
walkeri
shells.
• S.
rosemontensis
verge
is
not
spirally
groved
(as
first
described)
but
is
nearly
iden7cal
to
S.
walkeri.
• S.
walkeri
has
been
collected
in
Agua
Caliente
Canyon
(Soldier
Canyon),
Madera
Canyon,
in
the
southwestern
Santa
Ritas
(Josephine
Canyon
towards
San
Cayetanos),
and
Pajarito
Mountains.
S.
walkeri
is
also
closely
related
to
S.
huachucana,
a
species
that
occurs
in
the
Huachuca,
Patagonia,
and
Santa
Rita
Mountains,
and
as
a
fossil
species
in
the
Mustang
Mountains.
91. Sonorella
rosemontensis
• In
1978,
Miller
wrote
that
“it
is
the
opinion
of
the
author
[Miller]
that
S.
rosemontensis
is
at
least
conspecific
with
S.
walkeri
and
may
possibly
be
a
synonym” (p.
111).
92. Surveys
for
Sonorella
rosemontensis
in
the
Rosemont
area
• Walter
Miller
searched
for
this
species
during
six
field
trips
from
Oct.
1975
to
May
1976.
He
visited
18
locali7es
(iden7fied
to
¼
of
¼
sec7ons).
Miller
found
S.
rosemontensis
in
only
two
of
the
18
locali7es.
• WestLand
searched
for
this
species
during
20
field
trips
from
July
14
to
October
1,
2008.
Surveys
coincided
with
the
monsoon
season.
Field
trips
provided
coverage
of
most
of
the
Rosemont
project
area
and
included
areas
outside
of
the
Rosemont
area
(Fish
Canyon,
Mt.
Hopkins,
Agua
Caliente
Canyon,
and
Gardner
Canyon).
93. Surveys
for
Sonorella
rosemontensis
in
the
Rosemont
area
• Sonorella
shells
and
in
some
cases
live
snails
(with
an
AGFD
permit)
were
collected
by
WestLand
in
14
locali7es
in
or
near
the
Rosemont
project
area.
Snails
were
also
observed
ma7ng,
with
eggs,
and
feeding.
96. Talus
Slopes
• Provide
humid
refugia
for
Sonorella,
some
protec7on
from
predators
(mice,
flies,
beetles),
and
food
(lichens,
plants,
fungi).
• Deep
extensive
talus
on
the
west
slopes
of
the
Rosemont
area
may
provide
microsites
more
like
sites
at
higher
eleva7ons
around
Mt.
Wrightson.
97. Fungus
growing
on
rocks
buried
within
a
humid
talus
slope,
August
2008
98. Talus
Slopes
• Talus
slopes
are
persistent
and
dynamic.
• Most
of
the
talus
slopes
along
the
ridge
west
of
the
Rosemont
project
area
are
composed
of
quartzite.
Quartzite
is
resistant
to
weathering;
erosion
of
this
ridgeline
(over
the
last
ca
1
my)
is
coupled
to
rate
of
erosion
of
the
Bolsa
quartzite
bed.
• As
such,
these
quartzite
talus
slopes
are
dynamic
but
persistent
features,
with
par7cular
talus
slopes
probably
las7ng
100,000
years
or
more.
115. Talus
slopes
• Unstudied
in
the
Southwest
United
States
• Rock
spall
along
the
quartzite
ridge
appears
to
be
ongoing,
at
least
above
the
major
talus
slopes
116. Talus
slopes
• Not
yet
understood
if
rate
of
rock
spall
is
constant
between
pluvial
and
interpluvial
periods