Portland Water System & PUMA
Lorna Stickel & David Evonuk Resource Protection & Engineering Work Groups
Portland Water System & PUMA Lorna Stickel & David Evonuk - - PowerPoint PPT Presentation
Portland Water System & PUMA Lorna Stickel & David Evonuk Resource Protection & Engineering Work Groups Presentation Overview Background on Portland System 1. Hydrologic tools used to model our 2. water system Past climate
Lorna Stickel & David Evonuk Resource Protection & Engineering Work Groups
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Population served 850,000 Two supply sources:
l Bull Run surface supply – treated but
l Columbia South Shore Well Field –
Wholesale water under 19 contracts Water Demand
l 103 MGD Average - 160 MGD Peak
Dam 2 - Headworks Dam 1 – upstream of Dam 2 Bull Run Lake in Upper Watershed
rain-dominated system
underlying geology
Forest Service
65,500 Acres
6 Stream gages inside the watershed – well
2 Stream gages below the watershed diversion
3 SNOTEL sites inside the watershed – period of
3 Staff gages on dam reservoirs & BR lake
Primary NWS site at the Portland Airport 1928-
Headworks in Bull Run – Daily (Manual
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Precipitation
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T-max & T-min
Top of Dam 2 – Hourly archive (2000)
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Air Temperature
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Relative humidity
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Solar radiation
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Wind speed and direction
Bull Run River Flow at Headworks
2003
1000 2000 3000 4000 5000 6000 7000 8000 1-Jan 1-Feb 1-Mar 1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov 1-Dec 1-Jan Mean Daily Flow (cfs) Data from U.S. Geological Survey Combined flow s of: Bull Run River nr Multnomah Falls, OR (14138850) North Fork Bull Run River nr Multnomah Falls, OR (14138900) South Fork Bull Run River nr Bull Run, OR (14139800) Fir Creek nr Brightw ood, OR (14138870) 20% added to combined gaged flow s to account for ungaged area of w atershed
Forecast accuracy approaches climatology at
Weather data since 1940 Run weather data through demand model to
Streamflow data since 1940 Combine demand scenarios with streamflow
Suite of 60+ potential reservoir drawdown scenarios
Precipitation (PPT) Rainfall = (1-DF) * PPT * RF Snowfall = (1-DF) * PPT * (1-RF) Rain Fraction (RF) = f(TEMP)
Temperature (TEMP)
Direct Runoff = DF * PPT
SNOW (S0) SUBSURFACE FLOW (S1)
Snow Melt Rate (M) = f(TEMP, PRECIP)
Snow Melt = M * SNOW Reservoirs S0 Snow S1 Subsurface S2 Shallow Groundwater S3 Deep Groundwater Flows Between Reservoirs Perc1 Subsurface => Shallow GW Perc2 Shallow GW => Deep GW Flows to Runoff Direct from Precip Inter1 from Subsurface Inter2 from Shallow GW Base from Deep GW
Bull Run Precipitation – Runoff Model
SHALLOW GROUNDWATER (S2) Perc1 = f(S1) DEEP GROUNDWATER (S3) Perc2 = f(S2)
RUNOFF = Direct + Inter1 + Inter2 + Base
Inter1 = f(S1) Inter2 = f(S2) Base = f(S3) ET = f(S1, TEMP)
2010 Drawdown With Continued Supply Augmentation As of July 20
1 2 3 4 5 6 7 8 9 10 1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov 1-Dec 1-Jan
Usable Storage in Bull Run Reservoirs (BG) 18 36 54 72 90 95 Groundwater Pump Rate (MGD)
Baseline Storage Threshold
Buffer Zone
Portland Water Supply System 2008 Daily Demand, Maximum Temperature, and Precipitation
0.0 20.0 40.0 60.0 80.0 100.0 120.0 140.0 160.0 180.0 1/1/2008 1/15/2008 1/29/2008 2/12/2008 2/26/2008 3/11/2008 3/25/2008 4/8/2008 4/22/2008 5/6/2008 5/20/2008 6/3/2008 6/17/2008 7/1/2008 7/15/2008 7/29/2008 8/12/2008 8/26/2008 9/9/2008 9/23/2008 10/7/2008 10/21/2008 11/4/2008 11/18/2008 12/2/2008 12/16/2008 12/30/2008 MGD and Temperature 0.000 0.200 0.400 0.600 0.800 1.000 Precipitation
Prcp Demand Tmax
CEQUAL-W-2
l Reservoir operation system model for
l Utilized for fish flow monitoring & building a
Storage & Transmission Model (STM) Water Evaluation and Planning (WEAP)
University of Washington, Dept. of Civil
PWB staff involved Built in STELLA and Excel as part of
Evaluated numerous supply & demand
Large number of input parameters:
l Demand projections from 2000-2060 l Wholesale demand scenarios l Programmatic water conservation l Groundwater supply l Later: Fish flow release scenarios for Habitat
Model notes
l Built to analyze a specific set of scenarios l Very successful in accomplishing project goals l Provides much more information than just
l Somewhat difficult to extract data l Difficult to modify model for evaluating future
l Unable to generate a routine for estimating
Stockholm Environment Institute (SEI) “User Friendly” graphical model building
2005 - AwwaRF project: Decision Support
Replicated a portion of the STM model, ran a
Project was successful in duplicating STM
Model building and results export relatively
Since 2005 evaluations have focused on
Models have been built in Excel rather
University of Washington, Dept. of Civil
Completed as part of PWB’s Integrated
PWB staff involved Evaluated impacts of 4 GCM’s on Bull Run
Climate Change Models (PCM3, ECHAM4, HadCM2, and HadCM3 Output: Monthly Degree change in Temperature, Monthly Percent change in precipitation Hydrology Model DHSVM Output: Climate Change Streamflows Water Supply System Model Portland Supply Transmission Model Outputs: Annual Minimum Storage, Groundwater Pumped, Length of Drawdown
change scenarios show more water coming as rain in winter and less snow pack to boost inflows in the Spring and longer Fall dry periods.
however, the number of years with longer drawdown periods increases.
but climate change compounds that impact requiring more groundwater pumping to make up the amount
Major future water demand factors are:
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Growth
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Wholesale contracting – harder to get a handle on
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Changes in consumption patterns
regulatory/operational requirements
Climate change impacts on demands and supply
Portland does not have a hydrologic model The climate change issue is getting a lot more
Portland needs to do a revised look at
Portland has a robust groundwater source
More recent GCM downscaled data close
Source: Univ. of Washington/OCCRI 2009 – VIC modeled
purposes.
and utilize in-house expertise rather than consultants
their experiences
Support Consortium -RISA to collaboratively obtain climate data and then apply it. Refine past work, lead on to updated long range planning.
better over time, evaluate extreme events for emergency preparedness and peak demand periods
How does lack of data from the watershed itself
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Scale of grid sizes for hydrologic modeling?
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Boundary conditions from downscaled data from larger to smaller grids?
We are part of a program to get paleo-records
Could we obtain what we need from a more
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Sensitivity analysis based on trends
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Manipulate the hydrologic record to look at what if scenarios
Title and End Photos by Roman Johnston
Bull Run Watershed – Aerial Photography