channel and habitat monitoring in the countyline reach of the lower white river
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Channel and Habitat Monitoring in the Countyline Reach of the Lower White River. Presented by Sarah McCarthy and Terry Butler River and Floodplain Management Section King County Water and Land Resources Division November 01, 2012 King County Science Seminar. Monitoring Questions. - PowerPoint PPT PresentationTRANSCRIPT
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Channel and Habitat Channel and Habitat Monitoring in the Countyline Monitoring in the Countyline
Reach of the Lower White Reach of the Lower White RiverRiver
Presented by Sarah McCarthy and Terry ButlerPresented by Sarah McCarthy and Terry Butler
River and Floodplain Management SectionRiver and Floodplain Management Section King County Water and Land Resources King County Water and Land Resources
DivisionDivision
November 01, 2012November 01, 2012King County Science SeminarKing County Science Seminar
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Monitoring QuestionsMonitoring Questions
Have the projects:Have the projects:1.1. Met the design specifications?Met the design specifications?2.2. Improved riverine processes and Improved riverine processes and
functions?functions?3.3. Reduced or maintained current Reduced or maintained current
levels of flood risk?levels of flood risk?4.4. Reduced the need for remedial Reduced the need for remedial
actions?actions?
Implementation Monitoring
Project Effectiveness Monitoring
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Project Effectiveness Project Effectiveness Monitoring CategoriesMonitoring Categories
Channel DynamicsChannel Dynamics Aquatic HabitatAquatic Habitat Riparian ProcessesRiparian Processes FishFish & Amphibians & Amphibians Flood RiskFlood Risk
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Aquatic Habitat Aquatic Habitat MonitoringMonitoring
Hypothesis Monitoring Objective
AH1: The area of slow-water rearing habitat will increase.
Map slow water edge habitat (<1.5 ft/sec).
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Aquatic Habitat Aquatic Habitat MonitoringMonitoring
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Fish MonitoringFish Monitoring
Hypothesis Monitoring Objective
FA1: Juvenile salmonids will occupy low velocity rearing habitats resulting from floodplain reconnection actions. Density will increase proportional to habitat availability.
Map habitat types and conduct fish surveys.
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Chinook Coho Steelhead
Perc
ent o
f Tot
al C
augh
tJuvenile Salmonid Habitat Use
(All Seasons)BackwaterBankBarSide Channel
n=143 n=157 n=17
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Perc
ent o
f Tot
al C
augh
tChinook Habitat Use
Backwater
Bank
Bar
Side Channel
Summer 20113000 cfs
n=57
Spring 20111530 cfs
n=73
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White White River River SettingSetting
MMD
Countyline Reach
White River Alluvial Fan
Green R
County-line Reach
White R
Buckley
Auburn Source: Chris
Brummer
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Channel DynamicsChannel Dynamics
Hypothesis Monitoring Objective
CD1: Channel meandering will increase.
Analyze channel movement using digital airphotos.
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1914
Countyline Channel 1914 to Present
Historical Channels 1931-2000;2010 Aerial
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Predicted Predicted Left Bank Left Bank Post-Post-Project Project Channel Channel and and FloodplaiFloodplain n EvolutionEvolution
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Channel DynamicsChannel Dynamics
Hypothesis Monitoring Objective
CD2: Stream and floodplain heterogeneity will increase.
Map elevation changes using LiDAR and cross section surveys.
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LiDAR LiDAR ImagerImagery, Cross y, Cross SectionSectionss
Change in Gravel Bar Elevations(2007-09) by Comparison of DEMs
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Channel DynamicsChannel Dynamics
Hypothesis Monitoring Objective
CD3: Distribution of spawning sediments may shift but the overall extent will not decline.
Quantify and map longitudinal changes in substrate particle size distributions.
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Substrate Substrate Particle Particle Size Size DistributioDistributionsns
Source:Czuba et al. (2010)
White RM0.0 to 10.6, including CountylineReach.2009 Data
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Flood RiskFlood Risk
Hypothesis Monitoring Objective
FR2: Flood risk outside of the project area has decreased or remained the same.
… Survey channel cross sections, calculate changes in sediment volume and rates of deposition, and model changes in flood surface elevations.
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Cross Section Data: Cross Section Data: Volumes, Rates and Volumes, Rates and Elevation Elevation CalculationsCalculations
White River cross section 5.621 [Old RM 5.52; W70]
60
65
70
75
80
85
90
2350 2400 2450 2500 2550 2600 2650 2700 2750
Distance (feet)
Ele
va
tio
n (
fee
t) N
AV
D 1
98
8
1974 1977 1984 1986 2001 2007 2009
Example Surveyed Cross Section in Countyline Reach
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
1969-1974 1974-1984
1984-2001 2001-2007
2007-2009 2009-2011
Reach-Averaged Rate of Change in Riverbed Elevation (feet/year)
2400 2450 2500 2550 2600 2650 2700
70
75
80
85
2011 Lower White River HECRAS Gravel Plan: 1) 2009 ExCond 2) 2011 ExCond RS = 5.621 River Station 29678.17 ft
Station (ft)
Ele
vatio
n (ft
)
Legend
WS 5000 - 2011 ExCond
WS 5000 - 2009 ExCond
- 2011 ExCond
Ground - 2011 ExCond
Levee - 2011 ExCond
Ineff - 2011 ExCond
Bank Sta - 2011 ExCond
- 2009 ExCond
Ground - 2009 ExCond
Levee - 2009 ExCond
Ineff - 2009 ExCond
Bank Sta - 2009 ExCond
Change in Water Surface Elevation, 2009 to 2011, at 5000 cfs
Hydraulic ModelingIn 1-D HEC-RAS
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Monitoring ScheduleMonitoring Schedule
Monitoring Category
Pre-Project Monitoring (2011-2014)
Construction & Implementation
Monitoring (2014-2016)
Post-Project Monitoring:
Years 1, 3, 5, 10 (2016-2025)
Project Implementation (Left and Right Banks)
X
Channel Dynamics X X
Aquatic Habitat X X
Riparian Processes X X
Fish & Amphibians X X
Flood Risk X X
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AcknowledgementsAcknowledgements
Monitoring Plan Authors:Monitoring Plan Authors:Sarah McCarthy, Josh Latterell, Terry Butler, Jo Wilhelm, Hans Sarah McCarthy, Josh Latterell, Terry Butler, Jo Wilhelm, Hans
Berge, Chris BrummerBerge, Chris Brummer
Data Collection and Analysis:Data Collection and Analysis:Kate Akyuz, Josh Latterell, Dan Lantz, Chris Gregersen, Chris Kate Akyuz, Josh Latterell, Dan Lantz, Chris Gregersen, Chris
Knutson, Jim Lissa, Jo Wilhelm, Ray Timm, Kyle Comanor, Fred Knutson, Jim Lissa, Jo Wilhelm, Ray Timm, Kyle Comanor, Fred Lott, Bob Black (USGS), Steve Damm (USFWS), Andrew Berger Lott, Bob Black (USGS), Steve Damm (USFWS), Andrew Berger (Puyallup Tribe)(Puyallup Tribe)