Ground-Water Recharge GIS Metadata

U.S. Geological Survey

Regional Ground-Water Recharge Estimates for Minnesota

Estimated average annual ground-water recharge rates in Minnesota based on the regional regression recharge (RRR) model.

These data represent average recharge from 1971-2000 to surficial materials. They can be used wherever regional estimates of recharge are needed, for example, preliminary estimates for ground-water models.

Recharge estimates based on data from 1971-2000

Complete

None planned

Minnesota

-97.5
-89
49.5
43

Minnesota

Ground-Water Recharge

Recharge, mean annual precipitation, growing degree days, and STATSGO mean specific yield provided with the geographic data

Redistribution Conditions: In obtaining these data, it is understood that you and/or your organization have the right to use them for any internal purpose. If you modify them, you should document those changes in a metadata record that should accompany all redistributed data. If you transmit or provide these data in any form to another user, this documentation provided with the original data set including the full metadata record, must also be provided

Dave Lorenz, Hydrologist
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Phone: (763) 783-3271
FAX: (763) 783-3103
E-mail: Dave Lorenz, USGS

View a sample of the data.

Average annual recharge rate to surficial materials in Minnesota (1971-2000) estimated on the basis of the regional regression recharge method (RRR) as modified from Lorenz and Delin, 2007. See reference below in Section 2, Lineage.

STATSGO. 1994. State soil geographic (STATSGO) data base for Minnesota. Fort Worth, Texas: U.S. Department of Agriculture, Natural Resources Conservation Service. http://www.ncgc.nrcs.usda.gov/products/datasets/statsgo/ metadata/mn.html (accessed March 15, 2004).

Accuracy based on original STATSGO data for the State of Minnesota and additional information added by Lorenz and Delin (2007)

Data are stored in an ARC/INFO shapefile format with a D-BASE file of attributes

Complete

Accuracy based on original STATSGO data for the State of Minnesota

Not Applicable

A regional regression model was developed to estimate the spatial distribution of ground water recharge in subhumid regions. The regional regression recharge (RRR) model was based on a regression of basin-wide estimates of recharge from surface water drainage basins, precipitation, growing degree days (GDD), and average basin specific yield (SY). Decadal average recharge, precipitation, and GDD were used in the RRR model. The RRR estimates were derived from analysis of stream base flow using a computer program that was based on the Rorabaugh method. As expected, there was a strong correlation between recharge and precipitation. The model was applied to statewide data in Minnesota. Where precipitation was least in the western and northwestern parts of the state (50 to 65 cm/year), recharge computed by the RRR model also was lowest (0 to 5 cm/year). A strong correlation also exists between recharge and SY. SY was least in areas where glacial lake clay occurs, primarily in the northwest part of the state; recharge estimates in these areas were in the 0- to 5-cm/year range. In sand-plain areas where SY is greatest, recharge estimates were in the 15- to 29-cm/year range on the basis of the RRR model. Recharge estimates that were based on the RRR model compared favorably with estimates made on the basis of other methods. The RRR model can be applied in other subhumid regions where region wide data sets of precipitation, streamflow, GDD, and soils data are available.

Soils data obtained from STATSGO; precipitation data from the Minnesota State Climatology Office (G. Spoden), 2003, electronic communication; growing-degree-day data from Midwestern Regional Climate Center, Champaign, Illinois (S. Shea), 2006, electronic communication. Processing of data fully described in Lorenz and Delin (2007).

The methodology is documented in: Lorenz, D.L. and Delin, G.N., 2007, A Regression Model to Estimate Regional Ground Water Recharge: Ground Water, v. 45, no. 2, 13 p.

General information about ground-water recharge in Minnesota is available in: Delin, G.N. and Falteisek, J.D., 2007,Ground-Water Recharge in Minnesota, U.S. Geological Survey Fact Sheet 2007-3002, 6 p.

The RRR method is compared to other methods of estimating recharge in: Delin, G.N., Healy, R.W., Lorenz, D.L., and Nimmo, J.R., 2007, Comparison of local- to regional-scale estimates of ground-water recharge in Minnesota, USA: Journal of Hydrology, v. 334, no. 1-2, p. 231–249.

250000

Data are stored in an ARC/INFO shapefile format with a D-BASE file of attributes

polygon

State

UTM

Clarke 1866

NAD27

meters

Not Applicable

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UTM Zone 15

Not Applicable

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Defaults

Not Applicable

AREA: Area of polygon, in square meters

PERIMETER: Length of the polygon perimeter , in meters

RRR_: Internal number, used only by ARC/INFO

RRR_ID: Arbitrary polygon identification number

PREC: Mean annual precipitation from 1971-2000 for the polygon, in inches

SY: The specific yield, computed by the Rawls method from STATSGO data, unitless

MUID: The mapping unit identifier in the STATSGO data base

RECHARGE: The estimated average recharge for the polygon for the period from 1971-2000, in inches

GDD: The mean growing degree days above 50 degrees Fahrenheit from 1971-2000 for the polygon, in degrees-Fahrenheit-Days

The values for RECHARGE represent the estimated mean annual recharge from 1971-2000 for the polygon, except for lakes (-1) and areas unclassifiable areas because of excessive organic material (-2)

U.S. Geological Survey

2007

Minnesota Department of Natural Resources, Division of Waters
500 Lafayette Rd N
St. Paul, MN 55155
Phone: 651-259-5700
FAX: 651-259-5665

rrr

These data are provided as is, without any warranty whatsoever, including but not limited to any warranty as to their performance or fitness for any particular purpose. The entire risk as to the results of the use of these data is assumed by the user.

ARC/INFO shapefile

6.9 Mb

This data set is distributed on the internet by clicking below after "Online Linkage". Doing so will tell your browser to start downloading a self-extracting ZIP file which will contain the following:
- - ARC/INFO shapefiles: rrr.shp and rrr.shx
- - D-BASE file of attributes: rrr.dbf

Click here to download data. (See Ordering Instructions above for details.) By clicking here, you agree to the notice in "Distribution Liability" above.

04/16/2007

Dave Lorenz, Hydrologist
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Phone: (763) 783-3271
FAX: (763) 783-3103
E-mail: Dave Lorenz

Minnesota Geographic Metadata Guidelines

1.2

Metadata Online Linkage