geostatistics revisited: patterns in the united states

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Geostatistics Revisited: Patterns in the United States David R. Maidment 6 November 2008

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Geostatistics Revisited: Patterns in the United States. David R. Maidment 6 November 2008. Election as Geostatistics : Location matters!!. Statistical sampling of voters. Final Preelection Polls. Election on (11/4/08). Election “Population”. Population size: 125,225,901 - PowerPoint PPT Presentation

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Page 1: Geostatistics Revisited: Patterns in the United States

Geostatistics Revisited:Patterns in the United States

David R. Maidment6 November 2008

Page 2: Geostatistics Revisited: Patterns in the United States

Election as Geostatistics:Location matters!!

Page 3: Geostatistics Revisited: Patterns in the United States

Statistical sampling of votersFinal Preelection Polls Election on (11/4/08)

Page 4: Geostatistics Revisited: Patterns in the United States

Election “Population”

Population size: 125,225,901Spread – Obama: 53% to McCain: 46%

Page 5: Geostatistics Revisited: Patterns in the United States

Election “Sample”(Stratified Random Sampling)

National Survey of 1,000 Likely Voters

Sample size: 1000Spread – Obama: 52% to McCain: 46%

Sample: Population = 1000 : 120 million or 0.00083%

Page 6: Geostatistics Revisited: Patterns in the United States

Air Temperature: “Population”

Nebraska

Page 7: Geostatistics Revisited: Patterns in the United States

Air Temperature “Sample”(Mean annual values from Nebraska)

Page 8: Geostatistics Revisited: Patterns in the United States

What are Statistics?

Page 9: Geostatistics Revisited: Patterns in the United States

How do Geostatistics Differ from Statistics?

Page 10: Geostatistics Revisited: Patterns in the United States

Random Fields:Probabilistic processes in space

Voters: A finite population of spatially discrete objects

Air Temperature: An infinite population which forms a spatial continuum

Page 11: Geostatistics Revisited: Patterns in the United States

Air Temperature on an X-Y plane

Easting, X

Northing, Y

Page 12: Geostatistics Revisited: Patterns in the United States

Geostatistics: Orientation matters!

Page 13: Geostatistics Revisited: Patterns in the United States

Temperature and Elevation

Contrary trend to normal, where temperature decreases with elevation

Page 14: Geostatistics Revisited: Patterns in the United States

Histogram of Air Temperature

Degrees Centigrade * 10-1

Page 15: Geostatistics Revisited: Patterns in the United States

Normal Q-Q Plot

Standard Normal Variate, z

Page 16: Geostatistics Revisited: Patterns in the United States

Normal Q-Q Plot

zx

Plotting posn = (i-0.5)/n, i=1 is lowest value and i= n is highest value

Page 17: Geostatistics Revisited: Patterns in the United States

Trend Analysis

Page 18: Geostatistics Revisited: Patterns in the United States

Semivariogram and Covariance

Page 19: Geostatistics Revisited: Patterns in the United States

Semivariogram

2,2

1ji

ji

zz

2,

9.118.321

ji

805.32

Dist = 4.75 x 105m

Page 20: Geostatistics Revisited: Patterns in the United States

Detrending with an first order (linear) surface

Page 21: Geostatistics Revisited: Patterns in the United States

Trend removal

Semivariogram with no trend removal Semivariogram with linear trend removal

Long memory data Short memory data

Page 22: Geostatistics Revisited: Patterns in the United States

Mean, Standard Deviation and Standard Error of Estimate

Air Temperature data in Nebraska (215 sites)

Mean = 6.96 °CStandard Deviation = 2.07 °CStandard Error of Mean = 0.47 °C

Page 23: Geostatistics Revisited: Patterns in the United States

Prediction and Standard Error Maps

Page 24: Geostatistics Revisited: Patterns in the United States

Estimating Water Use in the United States

http://www.nap.edu/catalog.php?record_id=10484

Page 25: Geostatistics Revisited: Patterns in the United States

National Water Use Estimation

i

ititititititititt TEMNINLSIRCMDMPSTW )( ,,,,,,,,

TW = total water usePS = public water supplyDM = domestic useCM = commercial useIR = irrigation useLS = livestock useIN = industrial useMN = mining useTE = thermoelectric use

All variables defined for state i in year t

Page 26: Geostatistics Revisited: Patterns in the United States

1

State Water Use Databases - Survey undertaken with the assistance of

USGS water use specialists• Category 1 (10 states)

–Arkansas, Delaware, Hawaii, Indiana, Kansas, Louisiana, Massachusetts, New Jersey, New Hampshire, Vermont

• Category 2 (12 states)–Alabama, Illinois, Maryland,

Minnesota, Mississippi, New Mexico, North Dakota, Ohio, Oklahoma, Oregon, Utah, Virginia

• Category 3 (28 states + PR)–Alaska, Arizona, California,

Colorado, Connecticut, Florida, Georgia, Idaho, Iowa, Kentucky, Maine, Michigan, Missouri, Montana, Nebraska, Nevada, New York, North Carolina, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Washington, West Virginia, Wisconsin, Wyoming

Category

2

3

Page 27: Geostatistics Revisited: Patterns in the United States

Water Use Estimation

• Direct Estimation: sample n and extrapolate to population of size N

• Indirect Estimation: use regression or a water use coefficient model to get water use in each state

j

ititjjit XbaY ,,,, t

n

ktkt y

nNY

1,

Page 28: Geostatistics Revisited: Patterns in the United States

0

20

40

60

80

100

120

140

160

1960 1965 1970 1975 1980 1985 1990 1995

YEAR

Irrigation and LivestockThermoelectric Power

Industrial and Commercial

Domestic and Public Use

Water Use in the United States, by CategoryW

ATE

R U

SE, I

N B

ILLI

ON

GA

LLO

NS

PER

DA

Y

Trends in Water Use in the US

Solley et al., 1998

Page 29: Geostatistics Revisited: Patterns in the United States

Total Water Use

Nuclear power plant in Pope County

(1/12 of all water use in the State)

Page 30: Geostatistics Revisited: Patterns in the United States

Arkansas Site-Specific Water-Use Database

~50,000 points with monthly water withdrawal estimates

Page 31: Geostatistics Revisited: Patterns in the United States

Surface and Groundwater Points

Groundwater: 39,100 pointsSurface water: 5,600 points

Data are reported to AWSCC in acre-ft per month or yearData are reported to USGS national summary in MGD

Page 32: Geostatistics Revisited: Patterns in the United States

Arkansas Aquifers

Edwards-Trinity

Mississippi Embayment

Mississippi River Valley Alluvium

Ozark Plateaus

Page 33: Geostatistics Revisited: Patterns in the United States

Withdrawals from the Mississippi Alluvium33,700 wells (86%) out of39,100 total draw from the Mississippi Alluvium

Page 34: Geostatistics Revisited: Patterns in the United States

Stratified Random Sampling

• VT = variance of total water use

• Nh = total number of sites in stratum h,

• nh = sampled sites in stratum h,

• n = total number of samples

• and h2 = variance of

water use at a site in stratum h

L

hhh

L

h h

hT N

nN

V h

1

2

1

22

L2

22

12h=1

h=2

h=L

PWS

Domestic

Industrial

Irrigation

Comm.

L

hhh

hhh

N

Nnn

1

Page 35: Geostatistics Revisited: Patterns in the United States

Number of Samples RequiredArkansas, irrigation from groundwater

Desired standard error = 549,273 MGrequires 111 samples 2

22

NV

NnT

Random sampling:

Total use = 5,492,730 MG

% Standard Error

No. of Samples

10% 111

5% 445

1% 8600

Page 36: Geostatistics Revisited: Patterns in the United States

A Sampling Scheme(for 10% standard error in total water use)

Category Number Mean Use (MG)Coeff Var Samples Std Err (%)Irrigation 41,102 165 3.0 330 16Agriculture 1918 211 1.6 10 49Water Supply 1026 536 7.2 64 876Industrial 200 959 4.0 12 112Commercial 120 362 3.6 3 202Fossil-fuel Power 49 8520 3.9 26 52Minerals Extraction 33 975 5.6 3 310Nuclear Power 15 74,869 3.9 15 0Domestic 4 2.5 2.0 2 100Waste Treatment 4 98 1.2 2 58Hydropower 2 1,560,228 0.2 2 0Unknown 197 178 1.5 2 105All Categories 44,670 284 471 10

Power uses have complete inventory, others are randomly sampled

Nhnh

n =

Page 37: Geostatistics Revisited: Patterns in the United States

Summary of Recommendations

• Elevate the NWUIP to a water-use science program, emphasizing statistical estimation of water use and the determinants and impacts of water use.

• Systematically compare water-use estimation methods to identify the techniques best suited to the requirements and limitations of the NWUIP. Determine the standard error for every water-use estimate.

• (Move from an inventory model to a statistical model to produce national estimates.)

Page 38: Geostatistics Revisited: Patterns in the United States

Summary of Recommendations

• Systematically integrate datasets, including those maintained by other federal and state agencies, into datasets already maintained by the NWUIP.

• Focus on the scientific integration of water use, water flow, and water quality to expand knowledge and generate policy-relevant information about human impacts on both water and ecological resources

• Seek support from Congress for dedicated funding of a national component water-use science program to supplement the existing funding in the Coop Program

This is now funded and is called the “Water for America” program