Examples of explanatory variables and
probability models
http://pubs.usgs.gov/sim/2005/2881/
By: Kerie J. Hitt and Bernard T. Nolan

http://water.usgs.gov/nawqa/nutrients/pubs/est_v36_no10/
Probability of Nitrate Contamination of Recently
Recharged Ground Waters in the Conterminous
By Bernard
T. Nolan, Kerie J. Hitt, Barbara C. Ruddy
[Environmental Science and Technology, v.
36, no. 10, p. 2138-2145. This article supersedes ES&T vol. 31, no. 8; WCP
vol. 39, no. 12; and FS-092-96.]
Abstract
A new logistic regression (LR) model was used to predict the probability of
nitrate contamination exceeding 4 mg/L in predominantly shallow, recently
recharged ground waters of the
http://water.usgs.gov/nawqa/nutrients/pubs/wri02-4289/
Nutrients in shallow ground waters beneath relatively
undeveloped areas in the conterminous
By Bernard
T. Nolan and Kerie J. Hitt
[
Abstract
Nutrient concentrations in shallow (well depth of 30 meters or less) ground waters
of relatively undeveloped areas were evaluated to determine background
conditions relative to agricultural and urban land uses. Lands comprising 67
percent or greater forest or range, 10 percent or less agricultural land, and
10 percent or less urban land were used to represent relatively undeveloped
areas. Data subsets from the U.S. Geological Survey's National Water-Quality
Assessment Program (81 wells) and retrospective studies (320 wells) yielded
75th percentile nitrate concentrations of 0.51 and 1.1 milligrams per liter,
respectively, in shallow ground water beneath relatively undeveloped areas. The
value of 1.1 milligrams per liter is a reasonable upper bound estimate of
relative background concentration of nitrate in shallow ground waters in the
http://id.water.usgs.gov/PDF/wri984203/index.html
Probability of
detecting atrazine/DEA and elevated concentrations of nitrate in ground water
in the
Atrazine/DEA
Land use, precipitation, soil hydrologic group, and well depth significantly improved the ability of all the models to predict the probability of atrazine/DEA in ground water. Depth to ground water, geology, soil clay content, soil drainage, and soil organic matter did not significantly improve the effectiveness of any of the multivariate models.
Nitrate
Depth to water, land use, and soil drainage had statistically significant relations with elevated nitrate concentrations. The differences between atrazine/DEA and nitrate relations were attributed to differences in chemical behavior of these compounds in the environment and possibly to differences in the extent of use and rates of their application.
http://www.agiweb.org/geotimes/nov01/feature_Asmap.html
Mapping Arsenic in Groundwater by
Sarah Ryker
No single,
perfect map
Any single map that attempts to summarize an entire national data set is
necessarily a limited view. Each arsenic map the USGS released last year
provides a big-picture view, but a closer look at any smaller geographic area
quickly finds exceptions to national patterns. Areas of southern
National-scale maps serve an educational purpose and stimulate discussion, but
are not well suited to local planning. As with many generalizations, these maps
are better at starting debates than ending them.
http://water.usgs.gov/nawqa-only/trace/GWprocess/frameworks.html
http://sd.water.usgs.gov/nawqa/pubs/journal/EST.mixtures.squillace.pdf
VOCs, Pesticides, Nitrate, and Their
Mixtures in Groundwater Used for
Drinking Water in the

ftp://ftpint.usgs.gov/private/cr/jsz/RefinedCir.pdf
3rd draft of VOC circular

http://water.usgs.gov/pubs/wri/wri02-4269/pdf/WRIR02-4269.pdf
Probability of Detecting
Atrazine/Desethyl-atrazine and Elevated Concentrations of Nitrate in Ground
Water in
Maps showing the probability of detecting
atrazine and(or) desethyl-atrazine (atrazine/DEA) at or greater than
concentrations of 0.1 microgram per liter and nitrate concentrations in ground
water greater than 5 milligrams per liter were developed as follows: (1)
Ground-water quality data were overlaid with anthropogenic and hydrogeologic
data using a geographic information system to produce a data set in which each
well had corresponding data on atrazine use, fertilizer use, geology,
hydrogeomorphic regions, land cover, precipitation, soils, and well
construction. These data then were downloaded to a statistical software package
for analysis by logistic regression. (2) Relations were observed between
ground-water quality and the percentage of land-cover categories within
circular regions (buffers) around wells.
Several buffer sizes were evaluated; the buffer size that provided the
strongest relation was selected for use in the logistic regression models. (3)
Relations between concentrations of atrazine/DEA and nitrate in ground water
and atrazine use, fertilizer use, geology, hydrogeomorphic regions, land cover,
precipitation, soils, and well-construction data were evaluated, and several
preliminary multivariate models with various combinations of independent
variables were constructed. (4) The multivariate models that best predicted the
presence of atrazine/ DEA and elevated concentrations of nitrate in ground
water were selected. (5) The accuracy of the
multivariate models was confirmed by validating the models with an independent
set of ground-water quality data. (6) The multivariate models were entered into
a geographic information system and the probability maps were constructed.
GIS data sources
http://ks.water.usgs.gov/Kansas/studies/watershed/statsgo.html
|
Schwarz, G.E., and Alexander, R.B.,
1995, State Soil Geographic (STATSGO) data base for the conterminous Table 1. Summary of soil characteristics
described in the STATSGO soil database (Schwarz and Alexander, 1995) [mm, millimeters] |
|
|
Soil characteristic |
Description |
|
Available water capacity |
The volume of water that should be available
to plants if the soil, exclusive of rock fragments, was at field capacity. |
|
Clay content |
Clay content of the soil or horizon, expressed
as a percentage of material less than 2 mm in size. |
|
Liquid limit |
The water content at the change between the
liquid and plastic state of the soil. It is measured on thoroughly puddled
soil material that has passed a number 40 sieve (0.43 mm) and is expressed on
a dry-weight basis. |
|
Occurrence of hydric soils |
Hydric soils are soils that are saturated,
flooded, or ponded long enough during the growing season to develop anaerobic
conditions in the upper part. They make up part of the criteria for the
identification |
|
Organic matter content |
The amount of organic material in the soil, in
percent by weight. |
|
Soil permeability |
The amount of water that will move downward
through a unit area of saturated soil in unit time, under unit hydraulic
gradient, measured in inches per hour. Based upon laboratory measurements. |
|
Soil drainage |
The natural drainage condition of the soil,
based on the frequency and duration of periods when the soil is free from
saturation. Ratings are composed of seven categories ranging from very poorly
drained to excessively drained. |
|
Soil erodibility |
A relative index of the susceptibility of
bare, cultivated soil to particle detachment and transport by rainfall.
Measured by applying simulated rainfall on freshly tilled plots. |
|
Soil hydrologic group |
The minimum steady-ponded infiltration rate
for a bare ground. Ratings are composed of four categories, A through D, with
A having the highest saturated hydraulic conductivity. |
|
Soil surface slope |
Slope of soil surface, measured in percent. |
|
Soil thickness |
The weighted average thickness of all soil
layers, in inches. |
http://www.ncgc.nrcs.usda.gov/products/datasets/ssurgo/
The Natural Resources Conservation Service (NRCS) - National Cartography and Geospatial Center (NCGC) previously archived and distributed the Soil Survey Geographic (SSURGO) Database. Only file downloads were available from this site. This limited the amount of soil survey information that could be accessed. The NRCS NCGC also supplied SSURGO data to the United States Department of Agriculture - Service Center Agencies (Farm Services Agency, Natural Resources Conservation Service, and Rural Development) Geospatial Data Gateway. While the Gateway provides file downloads, a customer can also order SSURGO data on CD-ROM or DVD. The NRCS Soil Survey Division recognized that increased functionality for access of soil survey information was needed. In December 2003 the Soil Data Mart web application came online. The SSURGO data were migrated to the Soil Data Mart during 2004.

http://earth.gis.usu.edu/swgap/
The Gap Analysis Program (GAP) is a national program of the U.S. Geological Survey (USGS) Biological Resources Division that maps the distribution of plant communities and selected animal species and compares these distributions with land stewardship to identify biotic elements at potential risk of endangerment. GAP uses Geographic Information System (GIS) technology to assemble and view large amounts of biological and land management data to identify areas (gaps) where conservation efforts may not be sufficient to maintain diversity of living natural resources.
Winter, T.C., 2001, The concept of hydrologic landscapes: Journal of the American Water Resources Association, v. 37, no. 2, p. 335-350.
Hydrologic
landscapes are multiples or variations of fundamental hydrologic landscape
units. A fundamental hydrologic landscape unit is defined on the basis of
land-surface form, geology, and climate. The basic land-surface form of a
fundamental hydrologic landscape unit is an upland separated from a lowland by
an intervening steeper slope. Fundamental hydrologic landscape units have a
complete hydrologic system consisting of surface runoff, ground-water flow, and
interaction with atmospheric water. By describing actual landscapes in terms of land-surface slope,
hydraulic properties of soils and geologic framework, and the difference
between precipitation and evapotranspiration, the hydrologic system of actual
landscapes can be conceptualized in a uniform way. This conceptual
framework can then be the foundation for design studies and data networks,
syntheses of information on local to national scales, and comparison of process
research across small study units in a variety of settings. The
http://water.usgs.gov/GIS/metadata/usgswrd/XML/hlrus.xml
Wolock, D.M, Winter, T.C., and
McMahon, G., 2004, Delineation and evaluation of hydrologic landscape regions
in the United States using geographic information system tools and multivariate
statistical analysis: Environmental Management, v. 34, Suppliment 1, p.
S71-S78.
Hydrologic-landscape regions in the
http://wwwdcascr.wr.usgs.gov/pub/www/uo/pnsp/nit/apd.doc
The critical features used to describe Winter’s hydrologic landscapes are (1) land-surface form, to determine land-surface slopes and relief, (2) geologic texture, to estimate permeability of surficial and subsurface materials that control upland runoff, infiltration, and ground-water flow systems, and (3) climate, to approximate available water to surface and ground-water systems.
http://wwwdcascr.wr.usgs.gov/pnsp/nit/powerpt/
Among-region variability in the factors is maximized and within-region variability is minimized.
http://water.usgs.gov/nawqa-only/guidance/cycle2_design/DDWjune28_2001PM-rpt.pdf
Example study using GIS and regression models

http://water.usgs.gov/nawqa-only/guidance/cycle2_design/DDWjune28_2001PM-rpt.pdf
pg 26


http://water.usgs.gov/GIS/metadata/usgswrd/XML/ca_provinces.xml
Ten hydrogeologic provinces of
class feature called "provinces" within this digital data set. These
provinces were identified and defined in the USGS Water Resource
Investigation Report (WRIR) 03-4166 (Belitz and others, 2003) titled,
"Framework for a Ground-water Quality Monitoring and Assessment Plan for
and/or geology have similar
characteristics. The Southern
group was not previously defined as a province in WRIR 03-4166, and is
therefore identified as a group in this dataset.
These provinces were created by grouping polygons from two formally created
digital data sets into respective provinces. New polygons were created
where necessary. The two digital data set sources consisted of watershed
polygons (calwater) and groundwater basin polygons (gw_basins) compiled to
create an original publication of hydrogeologic province boundaries in the
form of a region-class within the data set. By symbolizing on the region-
class, the user can view the ten hydrogeologic provinces and one grouped
province in their simplest representation, without watershed and ground-
water basin boundaries obscuring the province areas.
Original polygons for both the watershed data set and the
ground-water basin
data set were retained as much as possible.
http://water.usgs.gov/GIS/metadata/usgswrd/XML/nv_hlrnv_g.xml
Maurer, D.K., Lopes, T.J.,
http://wwwbrr.cr.usgs.gov/projects/SW_precip_runoff/weasel/