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U.S. Department of Interior U.S. Geological Survey
Exploring*Common*Ground*between*Agriculture*and*Ecological*
Restora9on*in*Large;River*Floodplains
Robert Jacobson, Ph.D. Supervisory Research Hydrologist
US Geological Survey – CERC
Garth Lindner, University of Missouri Ed Bulliner, USGS – CERC
Kristen Bouska, USGS – UMESC Craig Paukert, USGS CRU – University of Missouri
River Corridor Habitat Dynamics
Columbia Environmental Research Center
• Brief overview of floodplain science needs project
• Explore two examples of floodplain modeling results:
• Potential benefits of floodplains in providing flood-risk reduction and nutrient processing.
• Can floodplains be common ground in conservation and agricultural land-use conflicts on large rivers?
Presentation Objectives
Large-river floodplains are highly dynamic, spatially variable, highly valued for agriculture, development, and – increasingly – conservation. What information is needed to manage these lands for resiliency, especially given inherent uncertainties and non-stationary conditions?
• Solicit science needs from floodplain conservation land managers.
• Develop data, models, and tools to address those needs.
• Look at variety of ecological endpoints
• Evaluate sensitivity to non-stationarity, as caused by climate variation, land-use change, water-use change.
Project Objectives
Assessing*floodplain*
science*needs*
• Surveyed(natural(resource(managers(
of(floodplain(conserva6on(lands(
across(UMR,(MMR(and(LMOR((
Bouska,(Lindner,(Paukert(&(Jacobson,(2016,(StakeholderHled(science:(engaging(
resource(managers(to(iden6fy(science(needs(for(longHterm(management(of(
floodplain(conserva6on(lands,(Ecology(and(Society(21(3):12(
What*scien9fic*informa9on*is*needed*to*help*inform*
management*decisions?*
Current(management(( Future(management((
Bouska(and(others.,(2016((
Sakakawea
Fort Peck
Oahe Sharpe
Francis Case
Lewis & Clark
Canyon Ferry
• Six Corps reservoirs • Mainstem storage:
91 km3
• 10 BKWH avg. annual hydropower
• Other dams: 40 km3
(National Map,
2006)
Lower Missouri River at Hermann, Missouri Missouri River Commission Maps - 1894
0 2 4 6 kilometers
Hydrologic time series
How much, when
• Historical
• Modeled historical
• Modeled future
• GCM and scenario
• Downscale
• Mitigation scenario
• ….
Hydraulics
Where water goes
• Floodplain scenarios
• Models:
• 1-dimensional
• 2-dimensional
• Surface + groundwater
• …
Ecological endpoints
• Magnitude, duration, frequency, timing..
• Spatial characteristics
• Habitat availability
• Explicit bioenergetics
• Ecosystem services
• …
82 years of historical inflows with current reservoir management – USACE HEC-ResSim model
USACE- HEC-RAS
USGS-constructed 2-dimensional model (TuFlow)
Regulating services:
• Flood-risk reduction
• Denitrification
Modeling*Approach*
Local-Scale Geography – 2 Cross Sections
I-70, Overton, 130 kcfs
Distance, meters 0 200 400 600 800 1000 1200 1400
160 165 170 175 180 185 190 195
Elev
atio
n, m
NVG
D29
Conservation of Mass:
V""=""%/' )↑!⁄" ,↑#⁄!
-↓# = /↓# ∗0↓# = -↓! = /↓! ∗0↓! /=)∗1 Hydraulic
roughness – vegetation interaction
Local Stage Effects, Conversion from Ag to Conservation
Batture: land between banks & levees
Time
Dis
char
ge, c
fs
Attenuation Effects, Conversion from Ag to Conservation
A spatially variable problem
Geomorphic adjustments to sediment retention results in variable flood-risk reduction
potential.
Sioux City, Iowa
Saint Joseph, Missouri
Boonville, Missouri
Gavins Point Dam
Jacobson and others, 2011
Jacobson and others, 2010
Segmentation, Lower Missouri River
Platte Segment – Platte River to Kansas River
Flood Duration, Days
0 20 40 60 80
Floo
dpla
in S
tora
ge,
Pro
port
ion
of F
lood
Vol
ume
0.001
0.01
0.1
1
5 133,000 10 162,000 25 192,000 50 219,000 100 250,000 200 287,000 500 347,000
Return Interval CFS
Flood Volume Potential – Platte Segment
Nebraska City, 2011
Jacobson and others, 2015
A spatially variable problem
Geomorphic adjustments to sediment retention results in variable flood-risk reduction
potential.
Sioux City, Iowa
Saint Joseph, Missouri
Boonville, Missouri
Gavins Point Dam
Jacobson and others, 2011
Unsteady 2-dimensional flow model
Used 2007 10-year flood to assess scenarios with variable levee setbacks from present day to no levees.
Jacobson and other (2015)
Conservation land
Private ag. land
Conservation land
171.0(
172.0(
173.0(
174.0(
175.0(
176.0(
500( 1000( 1500( 2000( 2500( 3000( 3500( 4000( 4500(
Eleva9on*in*M
eters*
Distance*in*Meters*
Cha
nnel
Floodplain
Vertical Cross Section, Looking Downstream 294,000 cfs, Approximately 5-year Return
Leve
e
Valle
y
Valle
y
Pre-1993 Levee Alignment Low Floodplain Roughness
n = 0.05 Jacobson and others, 2015
171.0(
172.0(
173.0(
174.0(
175.0(
176.0(
500( 1000( 1500( 2000( 2500( 3000( 3500( 4000( 4500(
Eleva9on*in*M
eters*
Distance*in*Meters*
Cha
nnel
Floodplain
Vertical Cross Section, Looking Downstream 294,000 cfs, Approximately 5-year Return
Leve
e
Valle
y
Valle
y
3,750 Ft. Floodway Low Floodplain Roughness
n = 0.05 Jacobson and others, 2015
171.0(
172.0(
173.0(
174.0(
175.0(
176.0(
500( 1000( 1500( 2000( 2500( 3000( 3500( 4000( 4500(
Eleva9on*in*M
eters*
Distance*in*Meters*
Cha
nnel
Floodplain
Vertical Cross Section, Looking Downstream 294,000 cfs, Approximately 5-year Return
Leve
e
Valle
y
Valle
y
5,000 Ft. Floodway (Pick Plan, 1944) Low Floodplain Roughness
n = 0.05 Jacobson and others, 2015
171.0(
172.0(
173.0(
174.0(
175.0(
176.0(
500( 1000( 1500( 2000( 2500( 3000( 3500( 4000( 4500(
Eleva9on*in*M
eters*
Distance*in*Meters*
Cha
nnel
Floodplain
Valle
y
Valle
y
No Levee Scenario Low Floodplain Roughness
n = 0.05
Vertical Cross Section, Looking Downstream 294,000 cfs, Approximately 5-year Return
Jacobson and others, 2015
171.0(
172.0(
173.0(
174.0(
175.0(
176.0(
500( 1000( 1500( 2000( 2500( 3000( 3500( 4000( 4500(
Eleva9on*in*M
eters*
Distance*in*Meters*
Cha
nnel
Floodplain
Valle
y
Valle
y
No Levee Scenario High Floodplain Roughness
n = 0.20
Vertical Cross Section, Looking Downstream 294,000 cfs, Approximately 5-year Return
Jacobson and others, 2015
Upstream Downstream n = 0.03 – 0.2
• Little attenuation is apparent • Caveat: modeled area is relatively small, about 13 river
miles, 19 square miles of floodplain. • Deformation of rising limb suggests < 5 year flood
affected
2007 10-year flood routed through no-levee model
Jacobson and others, 2015
5/8/2007 12:00 hours 7,754 m3/s
5/8/2007 18:00 hours 8,165 m3/s
Depth,meters
8.0
0.0
Velocity,meters per
second
4.0
0.5
Jacobson and others, 2015
Floodplain Storage in Low-lying Areas, 2-5 Year Frequency Floods No-Levee Scenario
5/9/2007 0:00 hours 8,575 m3/s
5/11/2007 0:00 hours 9,565 m3/s
Floodplain Convyance, > 5-Year Frequency Floods No-Levee Scenario
Jacobson and others, 2015
• Local stage effects can be substantial, on the order of a meter, but roughness mediates.
• What is land cover in set-back area?
• Attenuation can be effective on smaller floods – how big depends on area, storage, conveyance
• Conservation lands avoid flood damages, thereby diminish hazard (=probability x consequence).
Common ground in flood-risk reduction?
Non-point source agricultural chemicals Nitrogen Applications, Mississippi Basin
From Meade, R.H., (1995)
Floodplains and potential for nutrient-flux mitigation Denitrification requires reduction of nitrate, reducing conditions, proper microbial community, sufficient temperature.
Fundamentally: a function of flooding extent, duration
Inundation based on USACE HEC-RAS Model , 82 years of daily flow, 811 miles (here 500).
Lindner, Bulliner, in prep.
Stack over
time
xy
z
Structured(3Hdimensional(matrix(of(data(
x(and(y(are(geospa6al(coordinates(z$is(6me(coordinate((30,256(days)((
Water(depth(((((((((for(each(x,y,z(
LMOR*HEC;RAS*model*daily*matrices(
Lindner, Bulliner, in prep.
• What*are*annual*totals*and*averages*in*square*km*x*
days*that*floodplain*is*inundated*to*at*least*0.5*m*
during*May*–*October*in*this*500;mile*segment?**
• What*is*resultant*poten9al*denitrifica9on?*And*how*
does*it*relate*to*river*N*fluxes?*
*Hurst and others (2016) **Blevins (2004)
Low$rate* High$rate** Low$rate* High$rate**
8$mg/m2/d 300$mg/m2/d 8$mg/m2/d 300$mg/m2/d
Batture 96 3,593 0.05% 1.71%Full$floodplain 204 7,656 0.10% 3.64%
Annual$N$load$at$Hermann,$MO:$210,248$metric$tons
Metric$tons/year Percent$measured$load
LongNterm$averages
Year1920 1940 1960 1980 2000 2020
Den
itrifi
catio
n, p
ropo
rtio
n of
ann
ual l
oad
at H
erm
ann,
Mis
sour
i
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
High rate, batture onlyLow rate, batture onlyHigh rate, full floodplainLow rate, full floodplain
Batture is about 30% of entire floodplain in this segment
• Big, long floods and complete connectivity can attain appreciable denitrification.
• But in most years the potential is < 4% of background flux under optimal circumstances
• Hot spots – oxbows, tributary junctions, some batture wetlands – may achieve higher rates. Little Bean Marsh was NO3- limited.
• Intensive engineering of denitrification may achieve higher intrinsic rates.
• Generally indicates limitations of large-river floodplain mitigation and need to address nutrients at the field scale, throughout the watershed.
Common ground in nutrient mitigation?
• Ecological restoration and agricultural conflicts are acute in large-river floodplains where objectives are highly divergent.
• Dynamic and spatially variable systems require high resolution assessments and models.
• Two potential win-win solutions – flood risk reduction and nutrient mitigation – are marginal.
• Floodplains cannot fully mitigate watershed stressors.
• Common ground between restoration and floodplain agriculture may depend on quantifying and summing a wider range of ecosystem services – hazard mitigation, recreation, alternative crops.
Conclusions
Questions?
Photo: Lee Valley, Inc.
Flood risk reduction: Avoiding damages to land and infrastructure
Jacobson (2003)
Scour and Deposition on Agricultural Lands
Berger Bottoms, 1993
Flood Damages, Millions of Dollars
Stage-damageWithout Levee
12 16 200 4 8
Stage WhenLevee Overtopped,Approx. 420,000 cfs
Erosion +Sedimentation
Damage
40
35
30
25
20
15
Stag
e at
Her
man
n, M
isso
uri,
ft
Stage-damage With Levee
Volume Volume Cost
Source (ac-ft) (cubic-yards) (dollars)Levee na 424,000 2,600,000$ Scour 720 1,161,576 7,000,000$
Deposit 2,730 8,800,000$ 1,200,000$
19,600,000$
2,200,000$ Crop damage costs
Table 2. Estimated costs of erosion and sedimentation reclamation at Berger Bottoms, and estimated crop loss.[ac-ft, acre-feet; ac, acre; na, not applicable]
Deep plowing, 6,160 ac @ $190/ac
Total reclamation cost
Reistance to Change
Photo: http://www.talkvietnam.com
Photo: http://floodlist.com
Mekong River is an example of a highly productive, relatively natural system. Debate is about conservation of existing ecological value: • 3.9 million metric
tons of fish harvest • $3.9 – 7.0 billion
annual value • Compared to gains
in hydropower, sand, flood control
Image: Google Earth
Resistance to Change
Missouri River is an example of a river that is already highly altered, highly developed: • Management debate is about restoration of some
natural ecosystem processes and productivity. • Ecological gains are uncertain and require vision. • Economic losses from restoration -- represented by
~11 million metric tons of corn production-- are perceived as certain; a difficult threshold to cross.