First Results of Geological Investigations of Dubna Siting of Dubna Siting G.Shirkov.
Scientific Investigations Map 3397 U.S. Geological Survey
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U.S. Department of the Interior U.S. Geological Survey Scientific Investigations Map 3397 Plate 1 Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government. This map was printed on an electronic plotter directly from digital files. Dimensional calibration may vary between electronic plotters and between X and Y directions on the same plotter, and paper may change size due to atmospheric conditions; therefore, scale and proportions may not be true on plots of this map. Digital files available at https://doi.org/10.3133/sim3397 or http://pubs.usgs.gov/sim/3397/. Data release, boosted regression tree (BRT) model method, and model fit statistics are available at https://doi.org/10.5066/F7T151S1. Information regarding methodology available at https://doi.org/10.1016/j.jhydrol.2017.01.014. Suggested citation: Rosecrans, C.Z., Nolan, B.T., and Gronberg, J.M., 2018, Spatial distribution of predicted probabilities for selected dissolved oxygen threshold events, sheet 1 in Maps showing predicted probabilities for selected dissolved oxygen and dissolved manganese threshold events in depth zones used by the domestic and public drinking water supply wells, Central Valley, California: U.S. Geological Survey Scientific Investigations Map 3397, 2 sheets, various scales, https://doi.org/10.3133/sim3397. Spatial Distribution of Predicted Probabilities for Selected Dissolved Oxygen Threshold Events Maps Showing Predicted Probabilities for Selected Dissolved Oxygen and Dissolved Manganese Threshold Events in Depth Zones Used by the Domestic and Public Drinking Water Supply Wells, Central Valley, California By Celia Z. Rosecrans, Bernard T. Nolan, and Jo Ann M. Gronberg 2018 ISSN 2329-132X (online) https://doi.org/10.3133/sim3397 42° 124° 122° 40° 38° 116° 120° 118° 34° 116° 36° 42° 118° 120° 122° 124° 40° 38° 36° 34° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° 120° 120° 36° 36° 38° 38° 40° 40° 122° 122° N N Base modified from U.S. Geological Survey Principal Aquifers of the 48 Conterminous United States, Hawaii, Puerto Rico, and the U.S. Virgin Islands (https://water.usgs.gov/GIS/metadata/usgswrd/ XML/aquifers_us.xml), Groundwater Availability of the Central Valley Aquifer, California (https://pubs.usgs.gov/pp/1766/), and other Federal digital data, various scales; Albers Equal-Area Conic projection, standard parallels are 29°30" N. and 45°30" N.; North American Datum of 1983 Base modified from U.S. Geological Survey digital data, various scales; Albers Equal- Area Conic projection, standard parallels are 29°30" N. and 45°30" N.; North American Datum of 1983 50 MILES 50 0 25 SCALE 1:2,400,000 25 0 50 KILOMETERS 25 25 50 EXPLANATION Water table below prediction depth ( 3 spring 2000) EXPLANATION Principal aquifer units Basin and Range basin-fill Basin and Range carbonate-rock California Coastal Basin Central Valley aquifer system Other rocks Pacific Northwest basaltic-rock Pacific Northwest basin-fill Study area boundary Prediction model boundary Boosted regression tree (BRT) training wells (n=932) 2 DOMESTIC-SUPPLY DEPTH ZONE 1 (100 feet below land surface) PUBLIC-SUPPLY DEPTH ZONE 1 (325 feet below land surface) Predicted probability of event CALIFORNIA PRINCIPAL AQUIFERS 50 MILES 0 SCALE 1:4,100,000 50 0 50 KILOMETERS 50 Dissolved oxygen event: <0.5 milligram per liter Dissolved oxygen event: <1.0 milligram per liter Dissolved oxygen event: <2.0 milligrams per liter 0.0 to 0.1 >0.1 to 0.2 >0.3 to 0.4 >0.4 to 0.5 >0.6 to 0.7 >0.7 to 0.8 >0.9 to 1.0 >0.2 to 0.3 >0.5 to 0.6 >0.8 to 0.9 Prediction model boundary 1 Domestic and public supply depth zones represent median well depths of the training dataset applied to the boosted regression tree (BRT) model that were stratified into shallow and deep drinking water supply depths, respectively, based on previous work. See data release link for summary of details and citation. 2 BRT models were trained on wells with depth data and required water-quality data for the 1993–2014 model period. 3 Data from Faunt, C.C., ed., 2009, Groundwater availability in the Central Valley aquifer, California: U.S. Geological Survey Professional Paper 1766, 225 p.
Transcript of Scientific Investigations Map 3397 U.S. Geological Survey
U.S. Department of the InteriorU.S. Geological Survey
Scientific Investigations Map 3397Plate 1
Any use of trade, product, or firm names in this publication is for descriptive purposes only and does not imply endorsement by the U.S. Government.
This map was printed on an electronic plotter directly from digital files. Dimensional calibration may vary between electronic plotters and between X and Y directions on the same plotter, and paper may change size due to atmospheric conditions; therefore, scale and proportions may not be true on plots of this map.
Digital files available at https://doi.org/10.3133/sim3397 or http://pubs.usgs.gov/sim/3397/. Data release, boosted regression tree (BRT) model method, and model fit statistics are available at https://doi.org/10.5066/F7T151S1. Information regarding methodology available at https://doi.org/10.1016/j.jhydrol.2017.01.014.
Suggested citation: Rosecrans, C.Z., Nolan, B.T., and Gronberg, J.M., 2018, Spatial distribution of predicted probabilities for selected dissolved oxygen threshold events, sheet 1 in Maps showing predicted probabilities for selected dissolved oxygen and dissolved manganese threshold events in depth zones used by the domestic and public drinking water supply wells, Central Valley, California: U.S. Geological Survey Scientific Investigations Map 3397, 2 sheets, various scales, https://doi.org/10.3133/sim3397.
Spatial Distribution of Predicted Probabilities for Selected Dissolved Oxygen Threshold Events
Maps Showing Predicted Probabilities for Selected Dissolved Oxygen and Dissolved Manganese Threshold Events in Depth Zones Used by the
Domestic and Public Drinking Water Supply Wells, Central Valley, California
ByCelia Z. Rosecrans, Bernard T. Nolan, and Jo Ann M. Gronberg
2018ISSN 2329-132X (online)https://doi.org/10.3133/sim3397
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N NBase modified from U.S. Geological Survey Principal Aquifers ofthe 48 Conterminous United States, Hawaii, Puerto Rico, and the U.S. Virgin Islands (https://water.usgs.gov/GIS/metadata/usgswrd/XML/aquifers_us.xml), Groundwater Availability of the Central Valley Aquifer, California (https://pubs.usgs.gov/pp/1766/), and other Federal digital data, various scales; Albers Equal-Area Conic projection, standard parallels are 29°30" N. and 45°30" N.; NorthAmerican Datum of 1983
Base modified from U.S. Geological Survey digital data, various scales; Albers Equal- Area Conic projection, standard parallels are 29°30" N. and 45°30" N.; North American Datum of 1983
50 MILES50 0 25
SCALE 1:2,400,000
25
0 50 KILOMETERS252550
EXPLANATION
Water table below prediction depth (3spring 2000)
EXPLANATION
Principal aquifer units
Basin and Range basin-fill
Basin and Range carbonate-rock
California Coastal Basin
Central Valley aquifer system
Other rocks
Pacific Northwest basaltic-rock
Pacific Northwest basin-fill
Study area boundary
Prediction model boundary
Boosted regression tree (BRT) training wells (n=932)2
DO
MES
TIC
-SU
PPLY
DEP
TH Z
ON
E1 (1
00 fe
et b
elow
land
surf
ace)
PUB
LIC
-SU
PPLY
DEP
TH Z
ON
E1
(325
feet
bel
ow la
nd su
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e)
Predicted probability of event
CALIFORNIA PRINCIPAL AQUIFERS
50 MILES0
SCALE 1:4,100,000
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0 50 KILOMETERS50
Dissolved oxygen event:<0.5 milligram per liter
Dissolved oxygen event:<1.0 milligram per liter
Dissolved oxygen event:<2.0 milligrams per liter
0.0 to 0.1
>0.1 to 0.2
>0.3 to 0.4
>0.4 to 0.5
>0.6 to 0.7
>0.7 to 0.8
>0.9 to 1.0
>0.2 to 0.3 >0.5 to 0.6 >0.8 to 0.9
Prediction model boundary
1Domestic and public supply depth zones represent median well depths of the training dataset applied to the boosted regression tree (BRT) model that were stratified into shallow and deep drinking water supply depths, respectively, based on previous work. See data release link for summary of details and citation.2BRT models were trained on wells with depth data and required water-quality data for the 1993–2014 model period.3Data from Faunt, C.C., ed., 2009, Groundwater availability in the Central Valley aquifer, California: U.S. Geological Survey Professional Paper 1766, 225 p.
