watershed modeling in areas with intensive agricultural irrigation
DESCRIPTION
Watershed Modeling in areas with Intensive Agricultural Irrigation. Presented by: Jeremy Wyss, H.I.T Tetra Tech. 25 th Annual Alabama Water Resources Conference Orange Beach, Alabama. Ag Irrigation Extent and Importance. - PowerPoint PPT PresentationTRANSCRIPT
Watershed Modeling in areas with Intensive Agricultural Irrigation
Presented by:
Jeremy Wyss, H.I.TTetra Tech
25th Annual Alabama Water Resources ConferenceOrange Beach, Alabama
Ag Irrigation Extent and Importance 2007 Census of Agriculture combined with the 2008 Farm and
Ranch Irrigation Survey “provide one of the most complete and detailed profiles of irrigation in the United States”• 55,000,000 Irrigated Acres or 28% of farm land• 93% of irrigated land is Cropland • 60% by sprinkler and 40% by gravity• Estimated average of 1.7 acre-feet/acre (20”) of water application• 40% increased corn yield and 30% increased soybean yield
Climate models for the southeast project precipitation to come in less frequent, more intense events and also project temperature increases, thus decreasing soil moisture storage• Irrigation will become very important to augment soil moisture storage
to sustain crop yields
Reduced Infiltration• Soil Crusting
• Chemical and Physical• Increased soil moisture storage
• Maximum infiltration reached sooner
Stream-flow Impacts• Reduction due to direct and indirect pumping• Peak flow and storm-flow increases due to reduced infiltration• Return flows and consumptive use are difficult to characterize and
quantify
Conceptual Hydrologic Impacts
LSPC Watershed Model
LSPC = Loading Simulation Program, C++ Rainfall-runoff, lumped land use, pollutant loading simulation model Streamlined Hydrologic Simulation Program FORTRAN (HSPF)
algorithms for pervious and impervious land flow and pollutant transport Potential for very large-scale modeling A series of individual hydrologically connected sub-watersheds
Sub-WatershedWeather Data
Land Use DistributionRepresentative Soil Type
ReachWeather Data
FTableReach Group
LSPC Simulated Irrigation Demand
TimeET Days
To Compute Deficit
Irrigation Demand = f ( ) evaluated over…
If ET Days = 0, then Irrigation Demand= f (ETc * PEVT) Only
PREC & PEVT
ETc (Crop Factor)
PEVT* ETc - PRECIP
Surface Water• From a simulated Reach• Can be from any simulated Reach
• Allows for “regional” irrigation withdrawals
Groundwater• New water to the model• Can not withdraw water from groundwater storage of the model…yet?
*In the basic model structure you can not have water from two different sources being applied to the irrigated land within a modeled sub-watershed
LSPC Irrigation Source Water
1. To PREC
2. To SURS
3. To UZS
4. To LZS
5. To AGWS
Sprinkler
Flood
Buried Shallow
Buried Deep
Seepage
Model Storage Irrigation Type
LSPC Options for Irrigation Application
Ag Water Pumping ReportUGA selectively monitored irrigators application amounts
Divided Georgia into four Reporting/Summary regions Monthly Averaged irrigation depth by Source and Region
• Min, Mean, Max values
• Supplied Mean for normal years and Max for drought years
Irrigated Field Coverage
A shape file, reflecting 2007 irrigated area, was created by the University of Georgia27,275 Polygons (fields)
Individual field acreage
Individual field source water percent
In theory…the impact of each individual field is represented in the model
Georgia- Agricultural Irrigation AreasNAD_1983_UTM_Zone_17N
Map produced 09-03-2010 - P. Cada
CartersLake
AllatoonaLake
Chattah
oochee R
iver
Flint R
iver
FL
SC
AL
NCTN
Apal
achi
cola
Rive
r
Oconee R
iver
Altamaha River
SatillaRiver
Ocmulgee River
Savannah River
LakeJackson Lake
Sinclair
LakeOconee
Coosa River
0 40 8020 Miles
0 40 8020 Kilometers
LakeSidneyLanier
WestPointLake
J. StromThurmond
Lake
Walter F.GeorgeReservoir
LakeBlackshear
LakeSeminole
LakeHartwell
BrunswickHarbor
LegendMajor WaterwayAg. Irrigation AreaLakeState Boundary
AtlanticOcean
Irrigated Field10 acres
25% Surface75% Ground A B
Irrigated Field100 acres
75% Surface25% Ground
Groundwater Groundwater
Watershed B 50 acres Surface water30 acres Groundwater
Watershed A 47.5 acres Surface water22.5 acres Groundwater
Use acreage and regional mean irrigation depth to determine volume of water from source
acre-inch per month converted to cubic feet per second
Irrigated Field40 acres
50% Surface50% Ground
A B
Data Processing and Simulation
Irrigated FieldCalculation
2.5 acres SW7.5 acres GW
Irrigated FieldCalculation
75 acres SW25 acres GW
Irrigated FieldCalculation
20 acres SW20 acres GW
Split Field B 40%Recalculated30 acres SW10 acres GW
Split Field A 60%Recalculated45 acres SW15 acres GW
Withdrawals occur independently of irrigation demandWater is irrigated back onto the land based on irrigation demand calculation
If pond is empty then no irrigation occursIrrigated area became its own simulated land use and was removed from the
original land use by determining the land use “under” the polygons
“Observed” vs. Simulated Irrigation
Scenario LayoutScenarios compared at USGS 02355350 – Ichawaynochaway Creek below
Newton , Georgia • 1040 square miles• 160 square miles are irrigated (15% of area)
• 54% Surface Water and 46% Groundwater
Scenario 1 – No Application Irrigation water pulled from surface sources but not applied back to the
land Analogous to treating irrigated water as a loss from the system
Scenario 2 – No Irrigation No water being pulled from surface sources Analogous to ignoring irrigation
Scenario Results – Timeseries
1
10
100
1000
10000
100000
1/1/1998 10/1/1998 7/1/1999 4/1/2000 1/1/2001 10/1/2001 7/1/2002 4/1/2003 1/1/2004 10/1/2004 7/1/2005 4/1/2006 1/1/2007 10/1/2007
Date
Flo
w (
cfs)
0
1
2
3
4
5
6
7
8
9
10
Dai
ly R
ainf
all (
in.)
Avg Daily Rainfall (in.) Avg Baseline Flow (1/1/1998 to 12/31/2007 ) Avg Modeled Flow (Same Period)
Scenario 1
Scenario 2
1
10
100
1000
10000
100000
1/1/1998 10/1/1998 7/1/1999 4/1/2000 1/1/2001 10/1/2001 7/1/2002 4/1/2003 1/1/2004 10/1/2004 7/1/2005 4/1/2006 1/1/2007 10/1/2007
Date
Flo
w (
cfs)
0
1
2
3
4
5
6
7
8
9
10
Dai
ly R
ainf
all (
in.)
Avg Daily Rainfall (in.) Avg Baseline Flow (1/1/1998 to 12/31/2007 ) Avg Modeled Flow (Same Period)
Scenario Results – Duration/Accumulation
1
10
100
1000
10000
100000
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Percent of Time that Flow is Equaled or Exceeded
Dai
ly A
vera
ge F
low
(cfs
)
Baseline Flow Duration (1/1/1998 to 12/31/2007 )
Modeled Flow Duration (1/1/1998 to 12/31/2007 )
0%
20%
40%
60%
80%
100%
120%
Jan-98 Jul-99 Jan-01 Jul-02 Jan-04 Jul-05 Jan-07
Nor
mal
ized
Flo
w V
olum
e (O
bser
ved
as 1
00%
)
Baseline Flow Volume (1/1/1998 to 12/31/2007 )
Modeled Flow Volume (1/1/1998 to 12/31/2007 )
1
10
100
1000
10000
100000
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Percent of Time that Flow is Equaled or Exceeded
Dai
ly A
vera
ge F
low
(cfs
)
Baseline Flow Duration (1/1/1998 to 12/31/2007 )
Modeled Flow Duration (1/1/1998 to 12/31/2007 )
0%
20%
40%
60%
80%
100%
120%
Jan-98 Jul-99 Jan-01 Jul-02 Jan-04 Jul-05 Jan-07
Nor
mal
ized
Flo
w V
olum
e (O
bser
ved
as 1
00%
)
Baseline Flow Volume (1/1/1998 to 12/31/2007 )
Modeled Flow Volume (1/1/1998 to 12/31/2007 )
Scenario 1 Scenario 2
Scenario Results – Statistics
Lower volumes for Scenario 1 are expected (remove water from system) Large differences in low flow simulation (low flow = drought) Soil moisture storage causes lower peak flows and storm volumes
Agricultural irrigation is not insignificant and just removing water from the system over predicts the hydrologic impact.
Applying irrigation water back to the land is an important component of simulating Irrigation
Modeling Irrigation in areas with Intensive Agricultural Irrigation
Comments/Questions?