High Plains aquifer Acknowledgements Interannual to ...
Transcript of High Plains aquifer Acknowledgements Interannual to ...
InterannualInterannual toto MultidecadalMultidecadal ClimateClimate
High Plains aquiferHigh Plains aquifer
InterannualInterannual to to MultidecadalMultidecadal Climate Climate Variability Effects on Sustainable Variability Effects on Sustainable
Groundwater for AgricultureGroundwater for AgricultureGroundwater for AgricultureGroundwater for Agriculture
Jason Jason GurdakGurdak, PhD, PhDAssistant ProfessorAssistant Professor
Department of GeosciencesDepartment of GeosciencesDepartment of GeosciencesDepartment of GeosciencesSan Francisco State UniversitySan Francisco State University
AcknowledgementsAcknowledgements
Bret Bruce, USGS, Denver, COBret Bruce, USGS, Denver, COBrian Clark, USGS, Little Rock, ARBrian Clark, USGS, Little Rock, AR, , ,, , ,
Kevin Kevin DennehyDennehy, USGS, CO, USGS, CORandy Hanson, USGS, San Diego, CARandy Hanson, USGS, San Diego, CA
Pete McMahon, USGS, Denver, COPete McMahon, USGS, Denver, CORheannonRheannon ScheidererScheiderer, USGS, Little Rock, AR, USGS, Little Rock, AR
USGS, National Water Quality Assessment (NAWQA) ProgramUSGS, National Water Quality Assessment (NAWQA) ProgramUSGS, Groundwater Resources Program, Office of GroundwaterUSGS, Groundwater Resources Program, Office of Groundwater
UNESCO UNESCO –– Groundwater Resource Assessment under the Groundwater Resource Assessment under the Pressures of Humanity and Climate change (GRAPHIC)Pressures of Humanity and Climate change (GRAPHIC)Pressures of Humanity and Climate change (GRAPHIC) Pressures of Humanity and Climate change (GRAPHIC)
Natural Climate Natural Climate ForcingsForcingsEl NiEl Niññ /S th O ill ti (ENSO)/S th O ill ti (ENSO) 22 66 llEl NiEl Niñño/Southern Oscillation (ENSO): o/Southern Oscillation (ENSO): 22––6 6 year cycleyear cycle
NOAA, 2010
Winter anomalies and atmospheric circulations Winter anomalies and atmospheric circulations
NOAA, NOAA, 20082008
Natural Climate Natural Climate ForcingsForcingsPacific Decadal Oscillation (PDOPacific Decadal Oscillation (PDO): ): 1010––25 25 & & 5050––70 70 year periodicitiesyear periodicities(( )) y py p
Mantua (2010)
Atlantic Atlantic MultidecadalMultidecadal Oscillation (AMOOscillation (AMO): ): 4040––80 80 year periodicitiesyear periodicities
NOAA (2010)
Modified from McCabe et al., 2004Natural Climate Natural Climate ForcingsForcings
•1930s •“Dust Bowl”
•1950s •drought
Motivation: Motivation: Coupling between global climate cycles Coupling between global climate cycles and and hydrogeologichydrogeologic processes is poorly understood. processes is poorly understood.
Effects of ENSO, PDO, AMO on Groundwater Resources?Effects of ENSO, PDO, AMO on Groundwater Resources?Recharge? Nitrate Fate & Transport?Recharge? Nitrate Fate & Transport?g pg p
High Plains High Plains “Ogallala” “Ogallala” aquiferaquifer
Mississippi Mississippi EmbaymentEmbaymentaquiferaquifer Embayment Embayment Regional aquifer Regional aquifer study (MERAS)study (MERAS)DenverDenver
MemphisMemphis
MotivationMotivationEstimated Withdrawals from Principal Aquifers in the U.S.Estimated Withdrawals from Principal Aquifers in the U.S.
M i d B b (M i d B b (200200 ) USGS Ci l) USGS Ci l 12 912 9Maupin and Barber (Maupin and Barber (20052005): USGS Circular ): USGS Circular 1279 1279
Maupin and Barber, 2005
MotivationMotivationEstimated Withdrawals from Principal Aquifers in the U.S.Estimated Withdrawals from Principal Aquifers in the U.S.
Maupin and Barber (Maupin and Barber (20052005): USGS Circular): USGS Circular 12791279Maupin and Barber (Maupin and Barber (20052005): USGS Circular ): USGS Circular 1279 1279
USGS NAWQA Study Design:USGS NAWQA Study Design:Source, Transport, and ReceptorSource, Transport, and Receptor
•10 year groundwater-quality study
A l d 180 h i l•Analyzed 180 chemical compounds and physical properties from:
300 d i ( i ) ll- 300 domestic (private) wells,- 70 public-supply wells,- 50 irrigation wells, and - 160 shallow monitoring wells.
USGS NAWQA Study Design:USGS NAWQA Study Design:Source, Transport, and ReceptorSource, Transport, and Receptor
focus of talkof talk
Gurdak et al., 2009
VadoseVadose Zone Research NetworkZone Research Network
Monitoring Monitoring wellwell
Recharge Rates (Recharge Rates (33H and H and ClCl––))Controlled by land use and climateControlled by land use and climate
22 8 8
yy
22..8 8 in/yrin/yr
44..4 4 in/yrin/yr
00..008 008 in/yrin/yr
00..7 7 in/yrin/yr
McMahon et al., McMahon et al., 20062006, WRR , WRR
Conversion of Rangeland to Irrigated Cropland Conversion of Rangeland to Irrigated Cropland Affects Water QualityAffects Water QualityAffects Water QualityAffects Water Quality
Gurdak et al., Gurdak et al., 2009 2009
Conversion of Rangeland to Irrigated Cropland Conversion of Rangeland to Irrigated Cropland Aff W Q liAff W Q liAffects Water QualityAffects Water Quality
Gurdak et al., Gurdak et al., 2009 2009
Episodic Recharge EventEpisodic Recharge Event200420042004 2004 –– second wettest year on recordsecond wettest year on record
(snow in November and January)(snow in November and January)
IrrigatedIrrigated IrrigatedIrrigated
ff
Irrigated Irrigated IrrigatedIrrigatedField Rangeland Field RangelandField Rangeland Field Rangeland
beforebefore
afterafter
Gurdak et alGurdak et al 20072007 VadoseVadose Zone JournalZone JournalGurdak et al., Gurdak et al., 20072007, , VadoseVadose Zone Journal Zone Journal
Episodic Chemical Mobilization EventEpisodic Chemical Mobilization Event2000 20052000 20052000 2005 2000 2005
Gurdak et al., Gurdak et al., 20072007, , VadoseVadose Zone Journal Zone Journal
Hydrologic Time SeriesHydrologic Time Series
•• GW Levels GW Levels ((1930 1930 –– present)present)•• Precipitation Precipitation ((1888 1888 –– present)present)pp (( p )p )•• GW Pumping GW Pumping ((1978 1978 –– present) present) •• Stream FlowStream Flow ((1924 1924 –– present)present)•• Stream QualityStream Quality ((19381938 –– present)present)•• Stream QualityStream Quality ((1938 1938 –– present)present)•• GW QualityGW Quality ((1937 1937 –– present)present)•• Tree RingTree Ring ((1476 1476 –– present)present)
•• ENSO index (ENSO index (WolterWolter and and TimlinTimlin))•• PDO index (Mantua and Hare)PDO index (Mantua and Hare)( )( )•• AMO index (Enfield et al.)AMO index (Enfield et al.)
GurdakGurdak et al.,et al., 20072007,, VadoseVadose Zone JournalZone JournalGurdakGurdak et al., et al., 20072007, , VadoseVadose Zone Journal Zone Journal
Singular Spectrum Analysis (SSA)Singular Spectrum Analysis (SSA)Singular Spectrum Analysis (SSA) Singular Spectrum Analysis (SSA)
Transform from time domain to frequency domainTransform from time domain to frequency domain
Relatively Wet
Transform from time domain to frequency domain.Transform from time domain to frequency domain.
Relatively Wet
Relatively Dry
Modified from Hanson et al., Modified from Hanson et al., 20042004
Results: Singular Spectrum AnalysisResults: Singular Spectrum Analysis High Plains Aquifer: Variance in GW LevelsHigh Plains Aquifer: Variance in GW Levels
ENSOENSO PDOPDO AMOAMO
Estimate Recharge using Spectral AnalysesEstimate Recharge using Spectral AnalysesHydrologicHydrologic Time Series (HTS) MethodTime Series (HTS) MethodHydrologicHydrologic--Time Series (HTS) MethodTime Series (HTS) Method
LagLag--Correlation Coefficients = Correlation Coefficients = 00..65 65 to to 00..9898
t = phase lag
t = transit time
water tablewater table
GurdakGurdak et al., et al., 20072007, , VadoseVadose Zone Journal Zone Journal
PDO Affects Recharge Rates & MechanismPDO Affects Recharge Rates & Mechanism
yr-1
) (m
m y
Focused Rechargeduring +PDO
char
ge
during +PDO
recharge flux
Rec
Diffuse Recharge
recharge flux
north central south water tablewater table
McMahon et al., McMahon et al., 20062006, Water Resources Research , Water Resources Research Gurdak et al., Gurdak et al., 20072007, , 20082008, , VadoseVadose Zone JournalZone Journal
MERASMERASHydrologic TimeHydrologic Time Series NetworkSeries NetworkHydrologic TimeHydrologic Time--Series NetworkSeries Network
•• GW LevelsGW Levels ((1935 1935 –– present)present)(( p )p )•• Stream Flow Stream Flow ((1905 1905 –– present)present)•• Tree Ring Tree Ring ((1004 1004 –– present)present)•• ClimateClimate ((18631863 present)present)•• Climate Climate ((1863 1863 –– present)present)
(US Historical Climate Network)(US Historical Climate Network)
•• ENSO index (ENSO index (WolterWolter and and TimlinTimlin))(( ))•• PDO index (Mantua and Hare)PDO index (Mantua and Hare)•• AMO index (Enfield et al.)AMO index (Enfield et al.)
PostPost--SSASSAClimateClimate Cycle Extrapolation:Cycle Extrapolation: 20082008 20382038ClimateClimate--Cycle Extrapolation: Cycle Extrapolation: 2008 2008 –– 2038 2038
Autoregressive (AR) model: Autoregressive (AR) model: 2 2 example precipitation sites example precipitation sites
Variance / PeriodicityVariance / Periodicity
7373% / PDO, AMO% / PDO, AMO
9898% / ENSO, PDO, AMO% / ENSO, PDO, AMO
20082008 –– 201020102008 2008 –– 2010 2010
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20122012 –– 201420142012 2012 –– 2014 2014
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20162016 –– 201820182016 2016 –– 2018 2018
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20202020 –– 202220222020 2020 –– 2022 2022
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20242024 –– 202620262024 2024 –– 2026 2026
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20282028 –– 203020302028 2028 –– 2030 2030
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20322032 –– 203420342032 2032 –– 2034 2034
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
20362036 –– 203820382036 2036 –– 2038 2038
MonthlyMonthly Deviation fromDeviation fromMonthly Monthly Precipitation (cm) Precipitation (cm)
Deviation fromDeviation fromLongLong--Term Average (%) Term Average (%)
USGS Groundwater Resources ProgramUSGS Groundwater Resources Program
Motivation: Availability of GW in the MERAS?Motivation: Availability of GW in the MERAS?
Mississippi River ValleyMississippi River Valley
USGS Groundwater Resources ProgramUSGS Groundwater Resources ProgramClark et al., In Review, USGS Professional PaperClark et al., In Review, USGS Professional Paper
Mississippi River ValleyMississippi River Valleyalluvial aquiferalluvial aquifer
MODFLOW-2005 Model
13 13 layers.layers.++5050,,000 000 calibration wells.calibration wells.66,,000 000 mile of streams.mile of streams.
Plunging syncline, axis parallel to river.Plunging syncline, axis parallel to river.5 5 aquifers and aquifers and 4 4 confining units.confining units.
SimulatedSimulatedWaterWater--LevelLevelWaterWater--Level Level
Change Change
2038 2038 -- 20072007
2626% loss of % loss of 2007 2007 storage.storage.
< < 130 130 yr life expectancy. yr life expectancy.
Modified from:Modified from:
y p yy p y
Modified from: Modified from: Clark et al., In Review, Clark et al., In Review, USGS Professional PaperUSGS Professional Paper
Conclusions: Understanding GW SustainabilityConclusions: Understanding GW SustainabilityQuantifying spatiotemporal patterns of climate variability and Quantifying spatiotemporal patterns of climate variability and y g p p p yy g p p p y
effects on groundwater will be crucial to improve our effects on groundwater will be crucial to improve our understanding of resource sustainability. understanding of resource sustainability.
•• ENSO and PDO important controls on recharge, GW levels, ENSO and PDO important controls on recharge, GW levels, storage, and contaminant transport.storage, and contaminant transport.
•• Conceptual models of GW systems must consider climate Conceptual models of GW systems must consider climate forcingsforcings on these timescales. on these timescales.
P t ti l di t bilit ltiP t ti l di t bilit lti /d d ti l/d d ti l•• Potential predictability over multiPotential predictability over multi--year/decade timescales.year/decade timescales.
•• Preferred periods for artificial recharge, agricultural Preferred periods for artificial recharge, agricultural ti d th b tti d th b t t t t it t t ipractices, and other bestpractices, and other best--management strategies.management strategies.
•• Discriminate human impacts from natural variability Discriminate human impacts from natural variability ( t l h li t h ill ff t li t l )( t l h li t h ill ff t li t l )(not clear how climate change will affect climate cycles).(not clear how climate change will affect climate cycles).
QuestionsQuestionsJason GurdakJason Gurdak
email: [email protected] site: http://online.sfsu.edu/~jgurdak/
Geosciences Department, San Francisco State University
High Plains High Plains “Ogallala”“Ogallala”“Ogallala” “Ogallala” aquiferaquifer Mississippi Mississippi
EmbaymentEmbaymentRegionalRegionalRegional Regional aquiferaquifer