USDA Natural Resources Conservation Service Conservation Innocation Grant Copyright 2014
City of Dubuque Work Session - Bottom # 1.
ITEM TITLE: USDA Natural Resources Conservation Service -
Conservation Innovation Grant
SUMMARY: City staff and partners will conduct a work session on the
Conservation Innovation Grant through the U.S. Department
of Agriculture Natural Resources Conservation Service.
SUGGESTED DISPOSITION:
ATTACHMENTS:
Description Type
City Manager Memo City Manager Memo
Iowa League of Cities Presentation Supporting Documentation
University of Iowa Presentation Supporting Documentation
THE CITY OF DUUUCIUe
had
DUB E
Masterpiece on the Mississippi 2007.2012.2013
TO: The Honorable Mayor and City Council Members
FROM: Michael C. Van Milligen, City Manager
SUBJECT: Work Session — October 10, 2016
USDA Iowa League of Cities Nutrient Trading Strategy Update
DATE: October 6, 2016
In 2015, the City of Dubuque supported the Iowa League of Cities' Conservation
Innovation Grant (CIG) application from the USDA Natural Resources Conservation
Service. The League was successful in obtaining a $715,000 grant to to create a
market-based nutrient offset or exchange system in the State of Iowa that has the
ability to be replicated in the Mississippi River Basin and assist Iowa cities with the
recent nutrient reduction strategy NPDES permit requirements.
The League is the lead on the grant and along with partners from the University of
Iowa Flood Center and Kieser and Associates, they will provide the City of Dubuque an
update on grant activities including introduction of a project framework or registry that
primarily addresses improvements developed within watersheds aimed at reducing
nutrient loss. Our work within our watersheds has garnered national recognition and
this project will continue our efforts in creating a more Sustainable Dubuque.
ibt/11+-1)
Mic ael C. Van Milligen
MCVM:jh
Attachment
cc: Crenna Brumwell, City Attorney
Cindy Steinhauser, Assistant City Manager
Teri Goodmann, Assistant City Manager
Iowa League of Cities
Q USDA NR CS
`�■ ° I! . nservation Innovation Grant
October 10, 2016 - Dubuque
Market Framework for Agricultural
•�•� Water Quality Credit Trading
in Iowa
....
..
a" is'
Dustin Miller
dmiller@nyemaster.com
t.
(515 ) 883-0925
USDA NRCS
Conservation Innovation Grants
- Purpose : Competitive grants that
stimulate the development and
adoption of innovative approaches and
technologies for conservation on
agricultural lands . CIG uses
Environmental Quality Incentives
Program ( EQIP ) funds to award
competitive grants .
$ 20 Million Annual Funding
Average
, sem=
Iowa Nutrient Reduction Strategy
Overview
Integrated Strategy
Non - Point Source : Science Assessment
Point Source : Technology Assessment
45 Percent Total Reduction Goal
Estimated Cost
NPS : Initial Investment Costs range from
$ 1 . 2 to $4 billion
PS : Capital and operation costs over 20
years of approximately $ 1 . 5 billion
Steering Committee
Water Quality Credit Trading
Iowa League of Cities
Environmental Coordination Committee
Iowa League of Cities v. EPA ( 2013 )
SRF Sponsored Projects
2014 Conservation Innovation Grant with
Iowa NRCS Office ($ 75,000 )
University of Iowa IIHR
Kieser & Associates
Troutman Sanders
Alt
2015 Conservation Innovation Gran
.Kik:.. ...
2015 Conservation Innovation
Grant
Title: Market Framework for Agricultural Water Quality Credit Trading
in Iowa
Award Amount: $715,000 award over 3 years from October 1, 2015
to September 30, 2018
• 1 to 1 Match
•Iowa League of Cities: $85,160 Personnel
•Storm Lake : Leveraging $372,420 from Urban/Rural Interface Watershed Project
•Dubuque : Leveraging $257,420 from Catfish Creek Watershed Project
Initial Partners
•Dubuque
•Storm Lake
•Iowa Soybean Association
•Iowa Agriculture Water Alliance
•University of Iowa IIHR
•Kieser & Associates
•Troutman Sanders
Technical Advisory Committee
4�
2015 Conservation Innovation Grant
Technical Advisory Committee
Municipal : Dubuque, Storm Lake, Iowa League of Cities, Cedar
Rapids, Iowa Association of Municipal Utilities
• Agricultural : Iowa Soybean Association, Soil & Water
Conservation Districts, Iowa Corn grower's Association, Iowa
Farm Bureau, Iowa Drainage District Association
• Environmental : Iowa Environmental Council, Environmental
Law and Policy Center, the Nature Conservancy, Iowa Natural
Heritage Foundation
Industry: Ecosystems Services Exchange, Iowa Association of
Business & Industry, Alliant Energy, Stanley Consultants
Academic: Iowa State University, University of Iowa
Government: Iowa Department of Natural Resources,
EPA Region 7
2015 Conservation Innovation
Grant : Goals and Deliverables
Creation of a voluntary Nutrient Reduction
Exchange ( NRE )
Development of a DNR-approved WQCT
framework
Integration of SRF Sponsored Projects
University- led modeling to best target
implementation
Stackable benefits (e . g . , Swampuster
wetlands, flood mitigation and nutrient
reductions)
Ag commodity group participation 411,
Expansion of flood modeling capabilities
to include nutrients
w _
The NRE / Trading Framework
OW ^uuu-rv' those for
Flooding s MS4s
Drinking Water Registered
Habitat SWCDs Offsets
Accounting
Certification
Verification
Registration Nutrient Reduction
Tracking
Transferability Exchange
Certainty
Efficiency
Transparency
Backstop to Small
I N RS/off sets Community
for Growth Participation
1
Regulatory Review WQCT for
Trade Ratio (2:1 ) Compliance
Important Next Steps
• Demand & Supply Analysis
Dubuque
Storm Lake
• Examine proposed watershed projects
Nutrient reduction benefits
Other benefits
Cost-effectiveness of projects (' bang for
the buck")
Progress towards goals
• Registered reductions/credits
Questions ?
Robert Palmer
robertpalmer@iowaleague . org
(515)244-7282
Dustin Miller
f
[� ' dmiller@nyemaster. com
(515)883-0925
Mark Kieser
mkieser@kieser-associates . com
(269)344-7117
IIHR Nutrient Trading Update
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Larry Weber, Director, IIHR-Hydroscience & Engineering
Antonio Arenas Amado, Assistant Research Scientist
Chad Drake, PhD Candidate
Monday, October 10, 2016
---11—f
Hydroscience&Engineering
The overall goal of this research is to develop the scientific
framework for a nutrient trading system in Iowa .
• Specific objectives:
1. Develop a physically-based hydrologic and water quality watershed model
of Catfish Creek to determine the coupled water quantity and quality
benefits of agricultural conservation practices
2. Develop riverine and terrestrial (crop) nitrogen process models and couple
to the physically-based hydrologic model to simulate nitrogen fate and
transport
3. Use numerical simulations to evaluate the performance of individual
conservation practices
4. Perform integrated watershed modeling in Catfish Creek to quantify the
nitrogen load and flow reductions possible at the watershed scale under
different practice scenarios
The broader motivation for this research stems from
the Gulf Hypoxia .
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Gulf Hypoxia Task Force Goals : Load
2016-Preliminary I Annual NOx Load
5-Year Running Average
2016 data: Oct 2015 — May 2016 Baseline: 1980-1996 Average
— - - - 20% Reduction Goal(2025)
— — — - 45% Reduction Goal(2035)
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1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Gulf Hypoxia Task Force Goals : Area
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25000 — 5-Year Running Average
1985-2015 Average
— — — - 2035 Goal
20000 —
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1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
The Iowa Nutrient Reduction Strategy ( INRS) identifies
specific nutrient reduction goals and offers nutrient
trading as a water quality restoration technique .
Table 1 from the INRS (2014)
Practice Comments %Nitrate-N Reduction %Corn Yield Change
Min Average Max Min Average Max Nitrogen Phosphorus
(On (SW)
Moving from Fall to Spring Pre-plant Load Load
-80 6(25) 43 -16 4(16) 71
Application
Spring pre-plant/sidedress 40-60 split Reduction Reduction
5(28) 33 2 10(7) 25
Timing Compared to Fall Applied
Sidedress-Compared to Pre-plant _95 7(37) 45 -3 0(3) 5 0 0
Application Point Source 4% 15/0
Sidedress-Soil Test Based Compared 13
-29 4(20) 45 -12 70
to Pre-plant (22)••
°�' Liquid Swine Manure Compared to Non-Point 41% 29%
E -9 4(11) 25 -17 0(13) 35
Spring-Applied Fertilizer
c Source Poultry Manure Compared to Spring
-32 -3(20) 21 -33 -2(14) 73 Source
Applied Fertilizer
u Reduce to Maximum Return to
Nitrogen Nitrogen value 149 kg N/ha(133 lb Total 45% 45%
E Appucabon N/ac)for CS and 213 kg N/ha(190 lb
U lux [i u -1;; -1
Rate
N/ac)for CC
Nitrification Nitrapyrin in Fall-Compared to Fall-
-33 9(19) 33 -4 6(22) 104
Inhibitcr Applied without Nitrapyrin
Rye -10 31(29) 94 -28 -6(7) 5
Cover Crops
Oat 26 28(2)••• 30 -6 -5(1) -4
Living Mulches e.g.Kura clover-Nitrate-N reduction 12 41(16) 53 -86 -9(32) 71
from one site
Energy Crops-Compared to Spring- 26 72(23) 98 -100Y
Perennial Applied Fertilizer
w Land Retirement(CRP)-Compared to
67 85(9) 98 -100Y
D Spring-Applied Fertilizer
c Extended At least 2 years of alfalfa in a 4 or 5
24 42(12) 62 -27 7(7) 15
▪ Rotations year rotation
Grazec No pertinent information from Iowa-
Pastures assume similar to CRP 85•••• 100Y
Drainage No impact on concentration -11 33(32]^ 98
Water Mgmt.
Shallow
Tv Drainage No impact on concentration 5 32(15)^ 54
Wetlands Targeted Water Quality 11 52f 92
w Bioreactors 12 43(21) 75
m
w Only for water than interacts with the
Buffers active zone below the buffer.This 33 91(20) 99
would only be a small fraction of all
water that makes it to a stream ..
Nutrient trading is a voluntary, conceptual
frato improve water quality.
Primary motivation : point source regulation and cost
CONSERVATION
Farm reduces nutrient levels
beyond requirements to gain credit
- i y Nutrient Tradin r
:. . Nutrient reduction '`��'*`'A` y ' I 1 ;:/
5
W ' - _ =--, at a lower cost .,ab- f 1 r Y p k., ,„ , 3"
4
- �.� tom,-.P.,,,ii � I . 4; `� ��t�
' - tl`
its
:;.•:',,e-
.f P' N 4 k.� ''.Kr " 9
I
$$$3
Pollution source pays farmer
for credit to meet regulations
A physically-based modeling framework is being used
to achieve the goals of this study.
MIKE SHE Hydrologic Processes Mathematical/Numerical Description
Rain and Snow
Evapotranspiration, J
f Evapotranspiration N�
/ $ Kristensen and Jensen AD
\\%Rain&Snow
/ From . • 2-Layer Water Balance % �Ol
Canopy interception
AIL intercepted From soil and y
water From root `j • Net recharge‘e.g.DAISY)
se.Q water surfaces /
reci nation zone
Net . -
precipitation Snow melt
• Degree-day melting Channel Flow IMIKE 111
Snow melt --"11111611.1."- \ Overland Flow 1D St Venant Equations:
Pumping and L •2D Finite Difference Diffusive Wave • Kinematic wave approx.
'�` n Recharge • Dlffust.wave approx.
• Semi-distributed ^
i \ < •/ • Full d namic
Overland ifV • H g er-or•er y dynamic
n Flow Routing:
Infiltration Flow • No-routing
Root zone s -t 1 l m
• tdusk nguskin m--Gunge
II
Unsaturated flow Lakes
I Channel / Unsaturated Zone Flow �V
/ •:ID Finite Difference:
Moving water table t Flow • Richards Equation' ��)
1 i) � •vravity Flow
• •2-Layer Water Balance Sewer Flow
Groundwater flowIIIII4 •Net Recharge(e.g.DAISY)API. / 'MOUSE)
v v /
libillOP*. :r, PP"-
�,� Groundwater Flow
1,„ �,
•3D Finite Difference Darcy Flow]
D H 12016 • Lumped,Conceptual-Linear Reservoir
/
8
Catfish Creek
Paleozoic `r
Wisconsin
Northwest Iowa Plains Plateau
Catfish Creek
p
Des Moines Lobe Iowan Surface
Missouri River East-Central Iowa
Alluvial Plain Drift Plain
Loess Hills
Iowa-Cedar
Lowland
Southern Iowa Drift Plain Mississippi River
Alluvial Plain
The Catfish Creek MIKE SHE hydrologic model was built
using publically available datasets and model parameters
derived from literature .
A B C
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• .'%.*':l.4 •i ..: Y• leilggyp ` .!"
k
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• Sinkhole f
ndform Region Bedrock Depth(m) Soil Texture
East-Central Iowa Drift Plain -0-1 2-5 I I10-15 Other _Unidentified Loam
Paleozoic Plateau 1-2 I-15-10 —15-40 MI Silt loam-Siltyclay loam
okilltIr' w'
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Elevation (m) A
Slope(%) Land Use
0 0 4 $km m 0_2 I 5-10 ,15-20 Other -Forest Agriculture
180 -2-5 10-15—>20 Grass/Pasture _Developed 10
MIKE SHE is coupled to MIKE 11 to simulate river
discharges and water levels .
Catfish Creek MIKE 11 Network MIKE SHE Mesh and Coupling to MIKE 11
3 m DEM MIKE SHE Topography (100 m)
vtis;te
/4 r � ( Ill ti �` �wI R .....,...4
�� iz 1 ./."j0, J.;*s...._, `y - 1; N 0 250 00X0 jb t <,' StreamCentenine MIKE SHE Model Domain
\L�� N/ �� .( ` 1 ! n .. MIKE 11 River Branch Internal Cell
y � '� I•'ti� W \� J,:'�± µ� � VTt�^VS �� N p, MIKE SHE River Link O Boundary Cell
1\ �`1( .----,....Pr i \ /( I) 111 f"� .J Z S' a __ Watershed Boundary • MIKE SHE Calculation Node
j4 t �•l;. !I t" �� P'yr ,� Indundation(Flood Codes)
CJ..).: ,,.�l_ J / h � 3v ir.• ` '1 /1 o
1 d o 0 0 0 o 0 0
1 fir ! ( �".,r�
-, -- \ -`.f { .r 0 0 0 r 0 0
T� ‘-'\ - IS, { t \ p o 0 0 o ,0,10 5 ,, 4 . .:� .
' 11 n4�� ) —� i I V 1 o 0 0 gl-..,
ti � .� f /C-
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'y �.. -�0 „.7 ��� 0 0 0 0 0 0 0 0 o a o Y
'ci
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eo 0
S Z a
Al ,
�, 0 0 0 � ` , v . ,n4 ,-
iir j4i ,i 00 ,a , ° r ' 0 _
Catfish Creek MIKE SHE Model Development
100 m cells (18,655 surface nodes) 5 MIKE 11 branches
139 nodes per UZ column 63.2 stream miles
2 SZ layers (50 m vertical extent)
�.t ,1., 7
N ' 4krO a In,'.. ":0-,,t6'
',1-:—a /� 1 ,
Ground Elevation (m) �+
A � ,
:F `x;+f-'"i )Sly / -,1
140 160 180 200 220 240 260 280 300 320 340 .\\v•.‘,:,..::-.., -.
p\ ,r t ' i'Aj •�,:
_ ,„, , ,
.,,,.... ,
R
if Fhb
fi ,
c
?*,A f ....-. ..
, 1:11. A.
*! o.�ai , MIKE SHE
° r .00m DEM (m)
'' 58.0
X to Z ratio:12 i
12
A water balance approach is being used to calibrate
the Catfish Creek hydrologic model to 2014.
,_..,JJ ,_. Ratio Target Literature/Study Values References
� Run Creek
",� earMarqu Marquette,la Q/P 0.3 0.28 Schilling & Libra 2003
/- -,i 0.26-0.33 Schilling& Wolter 2005
0.31 Bradley 2014
0.26-0.35 Drake 2016
ET/P 0.7 0.73 0.80 McDonald 1961
Gaytonyj�. 0.65 Sanford and Selnick 2013
Paleo is Plateau\` ' Mississippi River 0.69 Bradley 2014
*It , Alluvial Plain 0.65-0.74 Drake 2016
Wisconsin E/ET 0.3 0.26, 0.33 Kang et al. 2003
T/ET 0.7 0.67, 0.74 Kang et al. 2003
'` 0.61±0.15 Schlesinger& Jasechko
2014
Dubuque Lock •d A. • 11 0.6 Berkelhammer et al. 2016
4)4.--
sinsinawa RivlerA Qb/Q 0.6 0.56, 0.62 Schilling& Libra 2004
--...h-
' Lt;= fs,,,,, near Menominee,IL 0.63, 0.67 Schilling & Wolter 2005
I ( - ' 4i@ i 0.71 Bradley 2014
4 - Dubuque / Illinois 0.61 StreamStats 4.0 2016
r Regional Airport 0.70-0.75 Drake 2016
Iast-C ht "low
Drift lain
Rain Gauge Jackson-4-.1(N thhForkMaquoketa
* en ulton,IA�
• USGS Discharge Gauge r- _
The simulated annual water balance for Catfish Creek
is reasonable .
0.1
0
Q/P ET/P E/ET T/ET Qb/Q
■ Annual Target ■ 2014 Calibration
14
Visualization
,-' 0.0- 1
,z Water Table Elevation (m) 0
i I
cs 0.5-
L..... _
Z: 160 180 200 220 240 260 280 300 320 340 - .— 1'0-
cem 1.5-
A 2000 _ Simulated Catfish Creek Outlet Hydrograph
\' \ —
1800
� ' 1600 -
ii
_ iaoo —
• . �� Outlet v�
1200 -
/ _ A 4rL -,- 4
vi. _ 4, .
fv\-,
v,c- 0 woo —s.- .......
ALr t ,-r 'firt
U
�, N 800 -
?'\ . �_ '� 600 -
I
f 400 -
200 -
I I I I I 1
05-01 05-21 06-10 06-30 07-20 08-09 08-29
X to Z ratio: 12 2014 (month-day)
Catfish Creek Instrumentation
l ___, u® NOAA Rain Gauge 8 Stream Stage
N 0 2 4 = IDNR STORET Site C Water Quality
1 .
ikm � ,.
Stream Stage and
City
• Water Quality — "'
T msw..w,t C Asbury .. r
\ 1, Dubuque Q�
E
/ Z / li.I iNOC
I l
� cl
' Ot NF H0r1 .t-.. a,t D,�bw
t WQ26 -x
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IFY
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Catfish Creek Water Quality
'C 0! 1 if , r I I 1 ' I 1 (II ' ' 1 'I 11 I 11 r " rr 1 ''— - r T -r1 '� .1 �� I II- Iv - I
y 1 1
5
c 0.
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c -
c 1 -
el
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WQ25: 41.1 mi2, 23% agric., 11% developed NOx-NOx-wags
5 - WQ26: 13.2 mi2, 15% agric., 52% developed
•
.
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4-20-15 5-20-15 6-19-15 7-19-15 8-18-15 9-17-15 10-17-15 11-16-15 12-16-15 1-15-16 2-14-16 3-15-16 4-14-16 5-14-16 6-13-16
17
Wetland Evaluation
Slough Creek c
Paleozoic
Northwest Iowa Plains Plateau
Des Moines Lobe Iowan Surface
4,4
Missouri River East-Central Iowa
Alluvial Plain Drift Plain
Loess Hills
•
Iowa-Cedar
Lowland
Southern Iowa Drift Plain
Mississippi River
Alluvial Plain
Slough Creek provides an opportunity to evaluate nitrogen
removal processes in a relatively well monitored CREP
wetland ; ' ,I , rF
� e.
rwI
x
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100 -
2015 Monthly Average
Mdcheu 90 - —Apr-Nov Average
I.I . - 80 -
- . 70 -
0
c 60 L_ ___I 1
-
0
u 50 -
z
- si.. e, Uk = 40 -
W i — CREP WeUan e1 '
CREP
AIUN ,
30
SI. gh Creek 20 iW�2
/, 0
IDNR STORET Site
• Wat:':z'; °c5 Apr May Jun Jul Aug Sep Oct Nov
• Sae.m St.e.nd
Water Quality
19
Following the same methodology used for Catfish Creek, a
MIKE SHE hydrologic model was developed for Slough
Creek that was calibrated to annual water balance ratios .
Sl„ilg.,-;reek`,9 E 11 4 ver!;.et^ork
A B C
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oil Texture Elevation (m) n i _
I Other -Loam -Fine sandy loam N Land Use
360
Silty clay loam-Silt loam-Muck - 0 1 2 Agriculture _ Grass 7��Wetland B - _.
=Clay loam — 330 km —Developed _ Forest
'I
Slough Creek MIKE SHE Model Development
30 m cells (18,440 surface nodes) 5 MIKE 11 branches
79 nodes per UZ column 6.5 stream miles
2 SZ layers (10 m vertical extent)
°s:
1 ril i:i i‘:.,, _,
la,
4 x ....
"..
MIKE SHE
30m DEM (m)
Ground 359.5
Elevation(m)
358 X331 .1
356
\114, 354
- 352
- 350
- 348 R : ,;'
- 346
— 344
k + 342
— 340
- 338
336
334 1 .....
- 332
330 �:
328
326 : :
324
4 322
iii ...'
X to Z ratio: 12 `"
The simulated annual water balance for Slough Creek
is reasonable .
0.1
0
Q/P ET/P E/ET T/ET Qb/Q
■ Annual Target ■ 2014 Calibration
22
Visualization
c„ i i , 1
c:.., _
0.25 - r ,.
iiir- , 11
d
c�c 0.5 -
_
c ~0.75 -
R
IX 1 - 1
Slough Creek
CREP Wetlan
300-
Inflow
Outflow 1i)91
250 - Wetland WSE
200 -
m Normal Pool Elev.
En 150 - - 1091
t
b
100 - - Z
71111111re.
$34.4
II 334.1 FN
50 - 333
Y .a
_ i 333.5
Control Structure Elev. 109C, l 333.1 332.8
332.2
X 332.2
o I
' ' ❑ 33;6 Simulated Wetland Water Level
6-21-15 6-22-15 6-23-15 6-24-15 6-25-15 X to Z ratio: 100
Water quality simulations in MIKE 11 were performed to
assess nitrate removal dynamics in the Slough Creek
wetland .
Slough Creek MIKE 11 River Network
MIKE 11 Ecolab Study Domain: WQS12 4 WQS8 r_ �.
,;
Comparison
-Normal Pool 1 VIOL
Point: WQS8 ,
Impose upstream l
boundary *1 t
i Flow conditions from it �,--'�
1 1 /
WQS12 and . MIKE 11
J / simulated Ecolab
1 /� hydrology - ° I t Stud
// / \ i \ +„ Domain
yl./ / / / 11 / \ 1 I ` U
1 / i I / I. / •
IP% / i'A i I i /t
1111111' in"
" Best" Simulated Nitrate Concentration : 2014
011,f. I II 111 .
I
N
C
d 0.5-
C
= -
c
Ir 1 -
20 - Sim. N-Load In (WQS12): 27.3 lb/ac NOx In(WQS12)
Sim. N-Load Out (WQS8): 15.4 lb/ac NOx Out(WQS8)
Sim. N-Load Out (k = 0.3d-1): 16.4 Ib/aC Sim: Den. rate =0.3lday
1 den p
l
15 - II
I
{F r Simulated vs Measured
E 10 i
a I Inlid-Nul‘Y.A.W"\\AA,\„....,,,v
i le
5 - 91
PYIyl \siveloovemi
. 41i. .
, ilitiii'
fir
ti. .. ,
0 i I i I i I i I i I i I , I 1 i I i I i I i I i I i I
5-8-14 5-22-14 6-5-14 6-19-14 7-3-14 7-17-14 7-31-14 8-14-14 8-28-14 9-11-14 9-25-14 10-9-14 10-23-14 11-6-14 11-20-14
" Best" Simulated Nitrate Concentration : 2015
E 0 1 r 1' r I - r r r, IIS , �r r r i T-
1. I I II I f r I]
$1,• 0.5—
R -
c
• 1—
ce
Sim. N-Load In (WQS12): 13.1 lb/ac
20 — NOx In(WQS12)
Sim. N-Load Out {WQS8): 3.0 Ib/ac NOx
Den{ rateO $)O.slday
r. Sim. N-Load Out (kden = 0.3d-1): 6.2 Ib/ac
,i
}};
ti
15 - Simulated vs Measured
r'r\terNI : I i---1/41n,
x
10 — I .
O i
'
Zit! ! •
r
_ � � x • NI
:i 1\
,a II /If0
0 , I , I , 1 , I , 1 , I , 1 , I 1 , I , I , I , I , I
5-19-15 6-2-15 6-16-15 6-30-15 7-14-15 7-28-15 8-11-15 8-25-15 9-8-15 9-22-15 10-6-15 10-20-15 11-3-15 11-17-15 12-1-15
26
Future work centers on simulating nitrogen fate and
transport for other conservation practices .
Chronological Future Work Topic Description/Comments Related
Order Objective
1 Improve simulated hydrology at Use radar rainfall, implement snowmelt, expand 1
seasonal and monthly time scales MIKE 11 network, review ET and subsurface
characterizations
2 Develop riverine and terrestrial Necessary for evaluating nutrient reduction benefits 2
nitrogen process models in Ecolab of selected practices
3 Select agricultural conservation Wetlands 3
practices to evaluate Proposed: farm ponds, cover crops,bioreactors,
saturated buffers
4 Use numerical simulations to Perform a sensitivity analysis to model parameters 3
evaluate each practice
5 Quantify watershed scale benefits Targeted placement of practices, evaluate variable 4
of different practice scenarios in agricultural management decisions and climate
Catfish Creek change projections
27