evaluating climate change impacts on … water quality using mechanistic receiving-water models ......
TRANSCRIPT
K . F L Y N N , L . D O L A N , C . D A L B Y , R . N A G I S E T T Y
EVALUATING CLIMATE CHANGE IMPACTS ON WATER QUALITY USING
MECHANISTIC RECEIVING-WATER MODELS
EXPLORATORY – Caveat Emptor
OVERVIEW
• Introduction • Summary of basic literature regarding potential impacts of
climate change on water quality
• How mechanistic water-quality model frameworks can be used to inform climate change science
• Methods • Project site description
• GCM downscaling
• Representing climate change emission scenarios in a WQ model
• Results
• Discussion
10/14/2016 Exploratory 2
BASIC LITERATURE REVIEW
• Expected impacts of climate change on surface
WQ are widespread (Murdoch et al. 2000;
Whitehead et al. 2009)
• Warmer water temperatures
• Higher evapotranspiration
• Flow alteration
• Reductions in transport/increased residence time
• Reduced dilution
• Lower DO and pH
• Changes in kinetic/metabolic rates
• Increased biological productivity/eutrophication
10/14/2016 Exploratory 3
EVALUATING CLIMATE CHANGE EFFECTS ON WATER QUALITY
10/14/2016 Exploratory 4
General Circulation Model
Spatial Downscaling
Hydrologic Model
Water Quality Model
CLIMATE CHANGE THROUGH THE LENS OF A WATER-QUALITY MODEL
• Computational network (control-volume)
• Reaches/elements
• Meteorological Forcing Functions
• Air Temperature
• Relative Humidity/Dew Point
• Wind
• Cloud Cover
• Boundary Conditions
• Streamflow
• Water Temperature/Loading
10/14/2016 Exploratory 5
iinflow outflow
dispersion dispersion
mass load mass withdrawal
atmospheric
transfer
sediments bottom algae
n = 4n = 4
ReachReach ElementsElements
1
2
3
4
5
6
8
7
Non - point
withdrawal
Non - point
source
Point source
Point source
Point withdrawal
Headwater boundary
Downstream boundary
Point source
MODEL, CALIBRATION DATA, AND CLIMATE SCENARIOS
• QUAL2K: 1-D ADR (heat, mass transport)
• Synoptic survey during 2012
• Critical flow conditions (Aug/September timeframe)
• Not fully calibrated yet; using lower river rates (Flynn et al. 2015)
• Approach – adjust model to reflect 2099 conditions
under two emission scenarios
• Air temperature, dew point, wind speed, cloud cover,
tributary and headwater flows, temperatures, dissolved
oxygen, point source inflows
10/14/2016 Exploratory 7
GCM DOWNSCALING
• General Circulation Models
(GCMs) cannot simulate
climate at the local to
regional scale
• Downscaling
• Dynamic
• Statistical
• Downscaled CMIP5 multi-
model ensemble median
• Two emission scenarios
• (medium/high)
10/14/2016 Exploratory 8
General Circulation
Model
Spatial Downscaling
Hydrologic Model
AIR TEMPERATURE ESTIMATES
• Downscaled CMIP5 BCSD climate/hydro projections (Reclamation 2013; 2014) upstream of Billings
• Two greenhouse gas emission scenarios (medium/high) • Representative
concentration pathway (RCP) RCP 4.5 (560 ppm by 2100) and RCP 8.5 (1370 ppm by 2100).
• Air Temp. Median Ensemble (2012-2099) • RCP 4.5 ≈ 2.5C increase
• RCP 8.5 ≈ 5C increase
similar to Chang and
Hansen (2014) for GYE 10/14/2016 Exploratory 9
http://gdo-dcp.ucllnl.org/downscaled_cmip_projections/
REL. HUMIDITY
• Pierce et al. (2013) projected changes in humidity via CMIP5 • RH predicted to change
−0.2 to −0.8 percentage points per decade
• 1.8–7.2% from 2010-2099 (9 decades)
• Decrease is accomplished by ambient air temperature warming faster than increasing moisture content of the atmosphere (both increase)
10/14/2016 Exploratory 10
WIND SPEED/CLOUD
• No statistical downscaling procedures have been
tested with wind speed (Pierce et al. 2013)
• % cloud cover expected to remain relatively
constant (Zelinka et al. 2012)
10/14/2016 Exploratory 11
Apply un-adjusted
wind and cloud
cover data from
2012 (for now)
STREAMFLOW BOUNDARIES
• CMIP5 projected
decadal Aug./Sept.
streamflow declines over 2012–2099
from VIC
• RCP4.5
• Livingston ≈ 10%
• Billings ≈ 7%
• RCP8.5
• Livingston ≈ 20%
• Billings ≈ 11%
10/14/2016 Exploratory 12
Billings
Adjust headwater −10/20%; remaining tributaries and
groundwater equitably
T99
T90
T50
T1
T10
Q99
Q95
Q90
Q50
Q20
Q5
Q1
Q80
Q10
OTHER BOUNDARY CONDITIONS
• WQ concentrations same as
2012 synoptic survey
• Based on temperature and
streamflow percentiles
• Other assumptions:
• Water temperature scales with
air temperature (surface and
groundwater)
• DO reduced on a percentage
basis
• No pH adjustment due to
complexity
10/14/2016 Exploratory 13
POINT SOURCES
• Point source flow increases based on per capita flow and historical population growth (1950–2015)
• Billings = 2%, Laurel = 1%, Livingston = 0%
• One scenario at projected 2099 flows
• No change in concentration/treatment
10/14/2016 Exploratory 14
DISCUSSION
• Water temperature expected to increase roughly proportionally to air temperature (thermal stress)
• Larger GPP cycles should occur • Upstream of Billings (B-1, B-2) freshwater aquatic standards
potentially not met for DO (> 8 mg/L). Likely would be met downstream (B-3 use class, 5 ppm).
• Reductions in pH (acidity) partially offset by increases in primary productivity if enriched. pH mostly within DEQ requirements (6.5–9 SU).
• Dilution greatly reduced as evidenced by concentration increases at Billings, MT
• Benthic biomass stimulated when enriched
10/14/2016 Exploratory 17
FUTURE WORK
• Refinement of boundary conditions (statistical
approaches vs. other approaches?)
• Temperature and mass loadings
• Groundwater vs. surface water effects
• Better understanding of the temperature
dependency of rates (theta value)
• Assemblage shifts?
10/14/2016 Exploratory 18
10/14/2016 19 Exploratory
Q U E S T I O N S | C O M M E N T S
THANK YOU