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Susitna-Watana Hydroelectric Project Document
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Title:
Baseline water quality study, Study plan Section 5.5 : Final study plan
SuWa 200
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Alaska Energy Authority
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Final study plan
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Series (ARLIS-assigned report number):
Susitna-Watana Hydroelectric Project document number 200
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[Anchorage : Alaska Energy Authority, 2013]
Date published:
July 2013
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Study plan Section 5.5
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Pagination:
31 p.
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Notes:
All reports in the Susitna-Watana Hydroelectric Project Document series include an ARLIS-
produced cover page and an ARLIS-assigned number for uniformity and citability. All reports
are posted online at http://www.arlis.org/resources/susitna-watana/
Susitna-Watana Hydroelectric Project
(FERC No. 14241)
Baseline Water Quality Study
Study Plan Section 5.5
Final Study Plan
Alaska Energy Authority
July 2013
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FERC Project No. 14241 Page 5.5-1 April 2013
5.5. Baseline Water Quality Study
On December 14, 2012, Alaska Energy Authority (AEA) filed with the Federal Energy
Regulatory Commission (FERC or Commission) its Revised Study Plan (RSP), which included
58 individual study plans (AEA 2012). Included within the RSP was the Baseline Water Quality
Study, Section 5.5. RSP Section 5.5 focuses on the methods for assessing the effects of the
proposed Project and its operations on water quality in the Susitna River basin.
On February 1, 2013, FERC staff issued its study determination (February 1 SPD) for 44 of the
58 studies, approving 31 studies as filed and 13 with modifications. FERC requested additional
information prior to issuing the study plan determination for the remaining 14 studies. On March
1, 2013, AEA filed the Quality Assurance Project Plan for Baseline Water Quality Monitoring
Sampling and Analysis Activities (WQ QAPP). On April 1, 2013 FERC issued its study
determination (April 1 SPD) for the remaining 14 studies. RSP Section 5.5 was one of the 13
studies approved with modifications. In its April 1 SPD, FERC recommended the following:
Standard Operating Procedures (SAP) and Quality Assurance Project Plan (QAPP)
- We recommend that AEA employ EPA Method 1631E for laboratory analysis of total
mercury in water, sediments, and fish tissue, and EPA Method 1630 for laboratory
analysis of methylmercury in water and fish tissue. We recommend that AEA apply
Method 1669 (Clean Hands/Dirty Hands) for all mercury field sampling.
- We recommend that AEA utilize the TRVs as an additional benchmark when evaluating
the need for additional baseline water quality data collection.
AEA has included FERC’s modification requests in the WQ QAPP. Information in the QAPP
supersedes relevant details within this Final Study Plan.
5.5.1. General Description of the Proposed Study
The collective goal of the water quality studies is to assess the effects of the proposed Project
and its operations on water quality in the Susitna River basin, which will inform development of
any appropriate conditions for inclusion in the Project license. The Project is expected to change
some of the water quality characteristics of the resulting riverine portion of the drainage once the
dam is in place as well as the inundated area that will become the reservoir.
The objectives of the Baseline Water Quality Study are as follows:
• Document historical water quality data and combine with data generated from this study.
The combined data set will be used in the water quality modeling study to predict Project
impacts under various operations (Section 5.6).
• Add three years of current stream temperature and meteorological data to the existing
data. An effort will be made to collect continuous water temperature data year-round,
with the understanding that records may be interrupted by equipment damage during river
floods, ice formation around the monitoring devices, ice break-up and physical damage to
the anchoring devices, or removal by unauthorized visitors to a site.
• Develop a monitoring program to adequately characterize surface water physical,
chemical, and bacterial conditions in the Susitna River within and downstream of the
proposed Project area.
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• Measure baseline metals concentrations in sediment and fish tissue for comparison to
state criteria.
• Perform a pilot thermal imaging assessment of a portion (between Talkeetna and Devils
Canyon) of the Susitna River. Discussion of thermal refugia data collection is located in
Section 5.5.4.9.
5.5.2. Existing Information and Need for Additional Information
Historical water quality data available for the study area includes water temperature data, some
general water quality data, and limited metals data primarily collected during the 1980s (URS
2011). Additional data has been recently collected by the U.S. Geological Survey (USGS) at
limited mainstem Susitna sites describing flow, in situ, general, and metals parameters. The
following is a summary of existing water quality data:
Lower Susitna from Cook Inlet to the Susitna – Chulitna –Talkeetna confluence (River Mile 0-
98)
• Large amounts of data were collected in this reach during the 1980s. Very little data are
available that describe current water quality conditions.
• Metals data are not available for the mouth of the Chulitna River. The influence of major
tributaries (Chulitna and Talkeetna rivers) on Susitna River water quality conditions is
unknown. There are no monitoring stations in receiving water at these mainstem
locations.
• Metals data are not available for the Skwentna River or the Yentna River.
• Continuous temperature data, general water quality data, and metals data are not available
for the Susitna River mainstem and sloughs potentially used for spawning and rearing
habitat.
Middle Susitna River and tributaries from the Susitna – Chulitna–Talkeetna confluence to the
mouth of Devils Canyon (River Mile 98-150)
• The source(s) for metals detected at high concentrations in the mainstem Susitna River is
unknown.
• Current data reflects large spatial data gaps between the upper river and the mid to lower
portions of the river.
• Continuous temperature data are not available for the Susitna River mainstem, tributary,
and sloughs potentially used for spawning and rearing.
Middle Susitna River from Devils Canyon to the proposed Watana Dam site (River Mile 150-
184)
• Temperature data are not available above and below most tributaries on the mainstem
Susitna River.
• Overall, very limited surface water data are available for this reach.
• Metals monitoring data do not exist or are limited.
• Concentrations of metals in sediment immediately below the proposed Project are
unknown. Metals in these sediments may become mobile once the Project begins
operation.
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• Monitoring of Susitna River mainstem and sloughs (ambient conditions and metals) is
needed for determining the potential for metal bioaccumulation in fishes.
Upper Susitna River including headwaters and tributaries above the proposed Watana Dam site
(River Mile 184-313)
• Surface water and sediment analysis for metals are not available for the Susitna River
mainstem, only for one tributary.
• Information on concentrations of metals in media and current water quality conditions is
needed to predict if toxics can be released in a reservoir environment.
• Continuous temperature data are not available for Susitna River mainstem, tributary, and
sloughs potentially used for spawning and rearing.
Overall
• Limited fish tissue sampling has been performed in the Susitna River by ADEC and
USGS (ADEC 2012; Frenzel 2000).
A large-scale assessment of water quality conditions throughout the Susitna River drainage has
not been completed. The proposed overall assessment will be used to establish background water
quality parameters. This need was identified in the Data Gap Analysis for Water Quality (URS
2011).
Water temperature monitoring was primarily done in the middle river portion of the Project area
during the 1980s. The purpose for collection of this data was to model post-dam temperature
conditions and to predict the potential for impact on thermal refugia for fish downstream of the
proposed dam site. An expanded network of continuous temperature monitoring data and water
quality data (including sediment, surface water, and potentially pore water) collection is required
for the Project because of the following:
• More information is needed to define existing thermal refugia throughout the Susitna
drainage.
• Limited information is available on natural, background conditions for water quality.
• It is unknown if seasonal patterns exist for select water quality parameters.
• Additional information is required for calibrating the water quality model to be used
(Section 5.6). More recent water quality data will be used for predicting reservoir
conditions and predicting riverine conditions downstream of the proposed dam.
The current proposal includes expansion of the temperature monitoring effort from river mile
(RM) 15.1 to 233.4, encompassing both the lower end of the riverine portion of the Project area
and above the proposed area of inundation by the reservoir. Monitoring sites are located at the
same sites characterized during the 1980s studies, as well as at additional sites. Monitoring of
areas of the mainstem Susitna River or tributaries with high metals concentrations or temperature
measurements (based on the Data Gap Analysis for Water Quality (URS 2011) will confirm
previous observations and will describe the persistence of any water quality exceedances that
might exist.
Locations in the mainstem Susitna River and tributaries where high metals concentrations were
historically identified in surface water lack sediment analysis data to determine potential sources
that can be mobilized. The linkage between sediment sources, mobilization into the water
column (dissolved form), and the potential for bioaccumulation in fish tissue presents a potential
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human health concern with respect to mercury contamination. The consumption of mercury in
fish tissue will be addressed by co-locating a limited number of surface water, sediment, and fish
tissue monitoring sites (and sampling events) where there is the greatest likelihood for
bioaccumulation. The proposed Project may have the potential to exacerbate bioaccumulation of
toxics beyond that occurring under current conditions. The initial monitoring will identify select
monitoring locations and media (e.g., surface water, pore water, and sediment) for sampling and
suggest the need for more detailed, site-specific sampling if a potential risk from
bioaccumulation is found.
The available historical data are not continuous over time or over spatial areas of the Susitna
drainage. The discontinuities in the data record limit the opportunity for conducting a complete
assessment of current water quality conditions that define natural background, the spatial extent
of higher than expected concentrations of metals (and select parameters), and identification of
source and timing of pollutant entry into the Susitna drainage. The expanded data record beyond
existing information will be used to develop a model of the proposed reservoir and for evaluating
water quality changes in the existing riverine system resulting from reservoir operations.
5.5.3. Study Area
The study area for water quality monitoring includes the Susitna River from RM 15.1 to RM
233.4, and select tributaries within the proposed transmission lines and access corridors. Water
quality and water temperature data loggers were installed at 33 of 39 sites identified in Table 5.5-
1 and Figure 5.5-1 as part of the 2012 Baseline Water Quality Study.
5.5.4. Study Methods
The Baseline Water Quality Study has several components that address needs for water quality
modeling and for detecting the location and magnitude of water quality issues. The proposed
water quality monitoring locations and water quality parameter list fill in substantial data gaps
throughout the project area from historical data collected beginning 1975 through 2003 (URS
2011). Besides the utility of water quality data in calibrating the water quality model,
establishment of a comprehensive baseline of water quality descriptions will be useful for
comparison to historical water quality data and future scenarios based on model predictions and
with future data collection.
Data will be collected from multiple aquatic media including surface water, sediment, and fish
tissue. Continuous temperature monitoring will inform the predictive model on how the
mainstem river and tributaries will respond to Project operations and if changes in water quality
conditions could affect aquatic life use and survival in the Project area. In addition, several other
requirements of the 401 Water Quality Certification Process will be addressed with collection
and description of additional data, including the following:
• Conducting a water quality baseline assessment
• Describing how existing and designated uses are met
• Using appropriate field methods and models
• Using acceptable data quality assurance methods
• Scheduling of technical work to meet deadlines
• Deriving load calculations of potential pollutants (pre-Project conditions)
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Two types of water quality monitoring activities will be implemented: (1) routine monitoring for
characterizing water quality baseline conditions, and (2) a single, comprehensive survey for a
larger array of parameters (Section 5.5.4.5). Frequency of sampling water quality parameters
varies by category and potential for mobilization and bioavailability. Most of the general water
quality parameters and select metals will be sampled on a monthly basis because each parameter
has been demonstrated to be present in one or both of surface water and sediment (URS 2011).
An initial screening survey has been proposed for several other toxics that might be detected in
sediment and tissue samples (Table 5.5-4). The single surveys for toxics in sediment, tissue, or
water will trigger additional study for extent of contamination and potential timing of exposure if
results exceed criteria or thresholds (e.g., LAETs, LC50s, Ecological Toxicity Reference Values
(TRVs), etc.). The general list of water quality parameters and metals will be used in calibrating
the water quality model (Section 5.6) in both a riverine and reservoir environment.
Twelve mainstem Susitna River monitoring sites are located below the proposed dam site and
two mainstem sites above this location. Six sloughs will be monitored that represent a
combination of physical settings in the drainage and that are known to support important fish-
rearing habitat. Tributaries to the Susitna River will be monitored and include those contributing
large portions of the lower river flow including the Talkeetna, Chulitna, Deshka, and Yentna
rivers. A partial list of the remaining tributaries that will be monitored represent important
spawning and rearing habitat for anadromous and resident fisheries and include Gold Creek,
Portage Creek, Tsusena Creek, Watana Creek, and Oshetna Creek. The operation of temperature
monitoring sites will continue as part of water quality monitoring activities in 2013/2014. These
sites were selected based on the following rationale:
• Adequate representation of locations throughout the Susitna River and tributaries above
and below the proposed dam site for the purpose of a baseline water quality
characterization.
• Location on tributaries where proposed access road-crossing impacts might occur during
and after construction (upstream/downstream sampling points on each crossing).
• Preliminary consultation with licensing participants including co-location with other
study sites (e.g., instream flow, ice processes).
• Access and land ownership issues.
• Eight of the sites are mainstem monitoring sites that were previously used for SNTEMP
modeling (see Section 5.6) in the 1980s. Thirty-one of the sites are Susitna River
mainstem, tributary, or slough locations, most of which were monitored in the 1980s.
Monitoring sites are spaced at approximately five-mile intervals so that the various factors that
influence water quality conditions are captured and support the development (and calibration) of
the water quality model. Frequency of sites along the length of the river is important for
capturing localized effects from tributaries and from past and current human activity. Additional
sampling to characterize variability in water quality conditions on six cross-sections of the river
will be completed. This objective for this sampling strategy will address potential influence of
channel complexity (multiple channels, braiding, etc.) on both the Susitna River and tributary
water quality. These data will also enable the water quality model (Section 5.6) to predict
conditions in 3-dimensions (longitudinally, vertically, and laterally).
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5.5.4.1. Water Temperature Data Collection
Water temperatures are being recorded in 15-minute intervals using Onset TidbiT v2 water
temperature data loggers (or equivalent instrumentation). Data collection began in late June
2012 and will continue through the winter of 2012/2013. At this time it is unclear if the
equipment will survive physical damage or interruption of temperature logging from ice break-
up and sedimentation during the winter. Temperature data has been retrieved from 33 of 39 sites
representing a partial or whole record from third week in July 2012 through end of September
2012. Deployment and continuous temperature data logging will continue for each of the two
following years (2013 and 2014) using the same apparatus and deployment strategy at all 39
sites. The TidbiT v2 (or equivalent) has a precision sensor for plus or minus 0.4 degrees
Fahrenheit (°F) (0.2 degrees Celsius [°C]) accuracy over an operational range of -4°F to 158°F (-
20°C to 70°C). Data readout is available in less than 30 seconds via an Optic USB interface.
To reduce the possibility of data loss, a redundant set of data loggers will be used at each site
(where possible). In general, the two sets of sensors will be installed differently (depending on
site characteristics). One logger will be inserted into the bottom of an 8.2-foot (2.5-meter) length
of perforated steel pipe housing that is fastened to a large bank structure via clamps and rock
bolts. A shorter or longer perforated steel pipe may be used depending on location of suitable
anchoring places. The logger will be attached to a cable that allows it to be easily retrieved for
downloads. To prevent theft or vandalism, the top pipe cap will contain a locking mechanism
that can only be opened using the appropriate Allen key. The second set of temperature loggers
will be anchored to a 2-foot section of a steel rail and buoyed to record continuous bottom, mid,
and surface temperature conditions throughout the water column. The anchor rail will be placed
at a channel location that is accessible during routine site visits and will be attached with a steel
cable to a post that is driven into the bank or to some other structure. The proposed installation
procedures may require some alteration based on site-specific conditions.
The sensors will be situated in the river to record water temperatures that are representative of
the mainstem or slough being monitored, avoiding areas of groundwater upwelling, unmixed
tributary flow, direct sun exposure, and isolated pools that may affect the quality of the data.
The 2012 Fish and Aquatics Instream Flow Study installed water-level loggers with temperature
recording capability at several study sites and are further described in Section 8.5.4.4 of the Fish
and Aquatic Instream Flow Study Plan.
Where these study sites overlap the water temperature monitoring study sites (Figure 5.5-1), the
water-level logger temperature sensors may be used. However, a redundant TidbiT v2 would be
deployed at these sites for backup temperature recording, especially for year-round temperature
monitoring.
5.5.4.2. Meteorological Data Collection
Meteorological (MET) data collection stations were installed in three new locations during 2012.
Table 5.5-2 lists those MET station locations as well as three additional MET stations to be
installed, if needed, by the Water Quality Modeling Study (Section 5.6).
The three MET stations installed in 2012 are located between RM 136.8 and RM 224.0. One
MET station near the Susitna-Watana Dam site was established above the projected height of the
pool elevation and proposed dam height. The upland MET station was established at about the
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2,300-foot elevation on the north side of the river, in the area of the proposed field camp, and
will record snowfall data and precipitation. The near river site MET station was located on the
north abutment just above river level based on the suitability of location for establishing the
structure.
Existing MET stations were fitted with additional monitoring equipment to expand data
collection that meets project needs and to use historical information collected from each of these
sites (Table 5.5-2). Data records from other studies will be used, wherever available, to help
generate information for the required parameters needed for construction of the water quality
models (Section 5.6). The linkage between historical records and continuing data records may be
used in evaluating the utility of 1980s temperature data for modeling.
All six possible MET stations are spatially distributed on the Susitna River from RM 25.8 to RM
224.0 and represent a range of distinct physical settings throughout the Project area. MET
stations transfer data generated at 15 minute intervals by a telemetry system and stored on a
digital server in Talkeetna, AK. The three additional MET station sites may be necessary if
current site placement is inadequate to represent the needs of water quality model development.
This determination will be made in the spring of 2013. Parameters measured by each of the
MET stations will be compared with the nearest down-gradient site and evaluated for adequacy
of representation of weather conditions in that reach. If data recorded between successive sites
are distinctly different, then additional sites will be proposed so that weather descriptions for use
in the water quality model calibration phase (Section 5.6) will be improved with greater detail.
5.5.4.3. MET Station Parameters
MET stations will collect parameters that support the activities of the engineering design team
and the development of the water quality temperature model. Snow depth will be estimated from
the precipitation gage with the onset of the winter season. Evapotranspiration is measurable
within deciduous canopies; however, the MET station placement will not be under vegetation
canopies so that parameters (like wind speed, etc.) necessary for establishing conditions on the
reservoir can be measured. Precipitation will be an added parameter to each station beginning in
2013 and estimated as snow depth as the season progresses following October 2013. Solar
radiation will be measured using proposed meteorological instruments and solar degree days
derived from these measurements. The following is a comprehensive list of parameters required
for use in this Project and will be measured by each of the MET stations:
• Temperature (maximum, minimum, mean)
• Relative humidity
• Barometric pressure
• Precipitation
• Wind speed (maximum, minimum, mean)
• Wind direction
• Wind gust (maximum)
• Wind gust direction
• Solar degree days (from solar radiation)
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5.5.4.3.1 MET Station Installation and Monitoring Protocol
Each MET station will consist of, at a minimum, a 10-foot (3-meter) tripod with mounted
monitoring instrumentation to measure the parameters identified above (Figure 5.5-2). The
station loggers will have sufficient ports and programming capacity to allow for the installation
of instrumentation to collect additional MET parameters as required. Such installation and re-
programming can occur at any time without disruption of the data collection program.
MET station installation is intended to provide instrumentation that will work continuously with
little maintenance and produce high quality data through a telemetry system.
A Campbell Scientific CR1000 data logger will be used to record data. The archiving interval for
all MET parameters will be 15 minutes, with a 2-year storage capacity. The MET station will be
powered by a 12 Vdc 8 amp-hour battery and a 20-watt solar panel complete with charge
regulator.
To protect the stations from wildlife intrusion and to discourage any potential vandalism, the
stations may be protected by fencing as appropriate.
5.5.4.3.2 Satellite or Radio Telemetry Communications System
Real-time data will be downloaded from MET stations using satellite transmission or radio
telemetry hardware. This will enable study staff to download, inspect, and archive the data as
well as monitor station operational parameters for signs of problems without visiting the site.
The communication will ensure that problems, if they occur, are resolved promptly to minimize
data loss between service periods.
5.5.4.4. Baseline Water Quality Monitoring
The purpose of the Baseline Water Quality Study is to collect baseline water quality information
that will support an assessment of the effects of the proposed Project operations on water quality
in the Susitna River basin. Effects of the proposed Project operations will be determined by using
baseline water quality monitoring data in the EFDC (Environmental Fluid Dynamics Code)
model described in Section 5.6, Water Quality Modeling Study. There are two types of
monitoring programs proposed for characterizing surface water conditions that are distinguished
by the frequency of water sampling and the density of sampling effort in a localized area
(Baseline Water Quality Monitoring and Focus Area Monitoring). The large-scale monitoring
program (at sites from RM 15.1 to RM 233.4) will be used to calibrate the Susitna River water
quality model.
Baseline water quality collection can be broken into two components: in situ water quality
sampling and general water quality sampling. In situ water quality sampling consists of on-site
monthly measurements of physical parameters at fixed locations using field equipment. General
water quality sampling will consist of monthly grab samples that will be sent to an off-site
laboratory for analysis. The laboratory will have at a minimum, National Environmental
Laboratory Accreditation Program (NELAP) certification in order to generate credible data for
use by state, federal, and tribal regulatory programs for evaluating current and future water
quality conditions. In general, these samples represent water quality components that cannot be
easily measured in situ, such as metals concentrations, nitrates, etc.
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Water quality data collection will be at the locations in bold in Table 5.5-1. The initial sampling
will be expanded if general water quality, metals in surface water, or metals in fish tissue exceed
criteria or thresholds. Additional contiguous sample sites will be visited on this list beginning the
following sampling month wherever criteria or thresholds have been exceeded by individual
parameters. This proposed spacing follows accepted practice when segmenting large river
systems for development of Total Maximum Daily Load (TMDL) water quality models.
Sampling during winter months will be focused on locations where flow data is currently
collected (or was historically collected by USGS) and will be used for water quality modeling
(Section 5.6).
5.5.4.4.1 Monitoring Parameters
Water quality samples will be analyzed for several parameters reported in Table 5.5-3. Metals
monitoring for total and dissolved fractions in surface water include the full set of parameters
used by ADEC in fish health consumption screening. The creation of a reservoir and potential
alteration of surface water downstream of the proposed dam site may change characteristics of
groundwater in the upper and middle Susitna basin. The water quality parameters identified in
Table 5.5-3 will address the influence surface water may have on adjoining groundwater supplies
in the vicinity of each sampling site. Changes to groundwater quality may have an effect on
drinking water supplies, so several parameters included on the inorganic chemical contaminants
list have been included as part of this sampling program (ADEC 2003). The criteria that will be
used for comparison with sampling results are the drinking water primary maximum contaminant
levels.
Additional parameters will be measured from all sites in a single survey that occurs during low
water conditions (e.g., August/September) in the Susitna basin. The following is a list of
pollutants for which Alaska Water Quality Standards have established water quality criteria (18
ACC 70.020(b)) for protecting designated uses in fresh water:
• Continuous temperature monitoring program
— Temperature, already included as part of the continuous temperature monitoring program.
• In situ monitoring program
— pH, included as part of the monthly water quality sampling routine.
— Color, categorical observation.
— Residues, categorical assessment (floating solids, debris, sludge, deposits, foam, or
scum).
• General water quality program
— Dissolved gas, included in the monitoring program (dissolved oxygen).
— Dissolved inorganic substances (total dissolved solids), included in monthly monitoring.
— Turbidity, already included as part of the monthly water quality sampling routine.
— Toxic and other deleterious organic and inorganic, already included in monitoring for
metals and mercury/methylmercury (organometals).
• One-time survey
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— Fecal coliform bacteria, included in monthly monitoring.
— Sediment, already included in assessing mercury and other metals from sediments.
— Petroleum hydrocarbons, oil, and grease, included in a one-time survey.
— Radioactivity; radionuclide concentrations to be generated from surface water samples.
— Toxic and other deleterious organic and inorganic, already included in monitoring for
metals and mercury/methylmercury (organometals).
Table 5.5-4 lists the water quality parameters to be collected and their frequency of collection.
5.5.4.4.2 Sampling Protocol
Water quality grab samples will be collected during each site visit in a representative portion of
the stream channel/water body, using methods consistent with ADEC and U.S. Environmental
Protection Agency (EPA) protocols and regulatory requirements for sampling ambient water and
trace metal water quality criteria.
Mainstem areas of the river not immediately influenced by a tributary will be characterized with
a single grab sample. Areas of the mainstem with an upstream tributary that may influence the
nearshore zone or are well-mixed with the mainstem will be characterized by collecting samples
at two locations: in the tributary and in the mainstem upstream of the tributary confluence. All
samples will be collected from a well-mixed portion of the river/tributary.
These samples will be collected on approximately a monthly basis (four samples from June to
September) and used for calibrating the same model framework used for predicting temperature.
The period for collecting surface water samples will begin at ice break-up and extend to
beginning of ice formation on the river. Limited winter sampling (once in December, and again
in March) will be conducted where existing or historic USGS sites are located. Review of
existing data (URS 2011) indicated that few criteria exceedances occur with metals
concentrations during the winter months. Existing data show that conventional water quality
parameters do not change during the winter months and appear to be mediated by constancy in
flow and by water temperature. Initial assessment of this existing data suggests that samples be
collected twice during the winter months for analysis of early and late season conditions when
the hydrograph declines (near the beginning of winter) and when the hydrograph begins to
increase (near the beginning of spring). If the 2013 data sets suggest that metals and other
general water quality parameters exceed criteria or thresholds, then an expanded 2014 water
quality monitoring program will be conducted to characterize conditions on a monthly basis
throughout the winter months.
Water quality indicators like conductivity (specific conductance) have been suggested as a
surrogate measure for transfer of metals from groundwater to surface water or in mobilization of
metals within the river channel. Should the one-time survey for metals at each of the sampling
sites show elevated concentrations of select parameters, then sampling of a full list of metals will
be conducted one time that analyzes groundwater concentrations in order to adequately
characterize current conditions. Available USGS data from select continuous gaging stations will
be reviewed for increases in specific conductance during monthly and seasonal intervals, and
these results will be used to determine if further metals sampling is warranted during additional
winter months.
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Water quality grab samples will be collected during each site visit along a transect of the stream
channel/water body, using methods consistent with ADEC and EPA protocols and regulatory
requirements for sampling ambient water and trace metal water quality criteria.
Mainstem areas of the river not immediately influenced by a tributary will be characterized with
a single transect. Areas of the mainstem with an upstream tributary that may influence the
nearshore zone or that are well-mixed with the mainstem will be characterized by collecting
samples at two transect locations: in the tributary and in the mainstem upstream of the tributary
confluence. Samples will be collected at 3 equi-distant locations along each transect (i.e. 25%
from left bank, 50% from left bank, and 75% from left bank). Samples will be collected from a
depth of 0.5 meters below the surface as well as 0.5 meters above the bottom. This will ensure
that variations in concentrations, especially metals, are captured and adequately characterized
throughout the study area.
Variation of water quality in a river cross-section is often significant and is most likely to occur
because of incomplete mixing of upstream tributary inflows, point-source discharges, or
variations in velocity and channel geometry. Water quality profiles at each location on each site
transect will be conducted for field water quality parameters (e.g., temperature, pH, dissolved
oxygen, and conductivity) to determine the extent of vertical and lateral mixing.Additional
details of the sampling methods will be provided in a combined Sampling and Analysis Plan
(SAP) and the Quality Assurance Project Plan (QAPP) for this study. More detail describing
study design, field sampling procedures, and evaluation of data quality is provided in the
Baseline Water Quality Monitoring QAPP (Attachment 5-1).
In Situ Water Quality Sampling. During each site visit, in situ measurements of dissolved
oxygen, pH, specific conductance, redox potential, turbidity, and water temperature will be
made. A Hanna Instruments HI 98703 Portable Turbidity Meter will be used to measure
turbidity, while a Hydrolab® datasonde (MS5) will be used to measure the remaining field
parameters during each site visit. Continuous turbidity measurement may be conducted with the
Hydrolab datasonde at select locations (e.g., former/current USGS sites where turbidity data are
available from the 1980s) and operated during summer and winter conditions. The following list
of former and current USGS mainstem Susitna River monitoring sites will be considered for
continuous turbidity monitoring: Susitna Station, Sunshine, Gold Creek, Tsusena Creek, and near
Cantwell. These locations have historic and current flow data that will be used in water quality
modeling (Section 5.6) of effects on turbidity from Project operations. Continuous logging of
water quality parameters using a multi-parameter probe (e.g., temperature, pH, dissolved oxygen,
and conductivity) may be placed at Focus Area locations (identified in Section 5.5.4.5). The
period of deployment will be focused on summer months June through September (four months)
as water conditions permit deployment and routine download of data. Maintenance of a multi-
parameter probe and risk from damage is high during winter months. Also, freezing conditions
will damage sensor apparatus and the logging unit if enclosed by formation of ice.
Standard techniques for pre- and post-sampling calibration of in situ instrumentation will be used
to ensure quality of data generation and will follow accepted practice. If calibration failure is
observed during a site visit, field data will be corrected according to equipment manufacturer’s
instructions.
General Water Quality Sampling. Sampling will avoid eddies, pools, and deadwater. Sampling
will avoid unnecessary collection of sediments in water samples, and touching the inside or lip of
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the sample container. Samples will be delivered to EPA-approved laboratories within the
holding time frame. Each batch of samples will have a separate completed chain of custody
sheet. A field duplicate will be collected for 10 percent of samples (i.e., 1 for every 10 water
grab samples). Laboratory quality control samples including duplicate, spiked, and blank
samples will be prepared and processed by the laboratory.
Quality Assurance/Quality Control (QA/QC) samples will include field duplicates, matrix spikes,
duplicate matrix spikes, and rinsate blanks for non-dedicated field sampling equipment. The
results of the analyses will be used in data validation to determine the quality, bias, and usability
of the data generated.
Sample numbers will be recorded on field data sheets immediately after collection. Samples
intended for the laboratory will be stored in coolers and kept under the custody of the field team
at all times. Samples will be shipped to the laboratory in coolers with ice and cooled to
approximately 4°C. Chain of custody records and other sampling documentation will be kept in
sealed plastic bags (Ziploc®) and taped inside the lid of the coolers prior to shipment. A
temperature blank will accompany each cooler shipped. Packaging, marking, labeling, and
shipping of samples will be in compliance with all regulations promulgated by the U. S.
Department of Transportation in the Code of Federal Regulations, 49 CFR 171-177.
Water quality samples will be labeled with the date and time that the sample is collected and
preserved/filtered (as appropriate), then stored and delivered to a state-certified water quality
laboratory for analyses in accordance with maximum holding periods. A chain of custody record
will be maintained with the samples at all times.
The state-certified laboratory will report (electronically and in hard copy) each chemical
parameter analyzed with the laboratory method detection limit, reporting limit, and practical
quantification limit. The laboratory will attempt to attain reporting detection limits that are at or
below the applicable regulatory criteria and will provide all laboratory QA/QC documentation.
The procedures used for collection of water quality samples will follow protocols from ADEC
and EPA Region 10 (Pacific Northwest). Water samples will be analyzed by a laboratory
accredited by ADEC or recognized under NELAP. Water quality data will be summarized in a
report with appropriate graphics and tables with respect to Alaska State Water Quality Standards
(ADEC 2005) and any applicable federal standards.
Additional details of the sampling procedures and laboratory protocols is included in the SAP
and QAPP.
5.5.4.5. Water Quality Characterization in Focus Areas
The second type of water quality monitoring is distinguished from the large-scale program by a
higher density of sampling within a pre-defined reach length and a higher frequency of sample
collection (greater than once per month). The purpose for the intensive water quality monitoring
in select Focus Areas of the proposed Project area is to evaluate effects from dam operations on
resident and anadromous fisheries. Potential Focus Areas in the middle river portion of the
Susitna drainage have been selected in consultation with the water resources leads. The Focus
Area sites are fully discussed in the Instream Flow Study Plan in Section 8.5.4.2.
Changes in water quality conditions from Project operations may influence usable habitat by
individual species of fish and various life stages. Water quality conditions influence usability of
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areas within the river and sloughs by supporting required physicochemical characteristics that
range from metabolic needs to predator avoidance. Adequate temperature and dissolved oxygen
concentrations are required to sustain basic metabolic needs and these can differ for life stages of
a species. Successful predator avoidance improves survivability of a population and this is
commonly achieved by using physical structures in the aquatic environment. In the case of water
quality, early life stages of a species may benefit from increased turbidity in the water column.
Changes to turbidity in the water column may result in increased predation on certain life stages
of fish and present a negative impact to a population.
The Focus Areas will have a higher density of sampling locations, in contrast to the mainstem
network, so that prediction of change in water quality conditions from Project operations can be
made with a higher degree of resolution. The resolution expected for predicting conditions will
be as short as 100-meter (m) longitudinal distances within the Focus Areas. Depending on the
length of the Focus Area, transects will be spaced every 100 m to 500 m and water quality
samples collected at three locations along each transect. The collection locations along a transect
will be in open water areas and have 3 to 5 collection points. These will be discrete samples
taken at each collection point. The density of monitoring locations within the Focus Areas will
be used as a grid to detect and describe groundwater input. Plumes of groundwater input to a
Focus Area will be traceable using thermal data or conductivity. The area of groundwater input
will be described using the monitoring grid network represented by the transects and sampling
points along each transect. The location of open water transects and piezometers will be
coordinated with the Instream Flow Study (Section 8) and the Groundwater Study (Section 7.5)
to efficiently implement common elements in each of the studies. Piezometers will be installed
as part of the Water Quality Monitoring Study so that surface water and groundwater samples are
collected at the same time for determination of influence of groundwater on surface water.
Collection of groundwater and surface water during each site visit will be used to evaluate the
influence of groundwater on surface water quality. Frequency of sampling will be every 2 weeks
for a total duration of 6 weeks and coordinated with the Instream Flow and Groundwater studies.
Water quality parameters measured in Focus Areas will be used to calibrate the EFDC model,
but at a higher level of resolution than used for the main channel beginning from RM 15.1 and
ending at RM 233.4 in the Susitna River. The focus for EFDC model predictions will be on the
following parameters that could affect habitat used by anadromous and resident fish in this
drainage:
Field Parameters
• Water temperature
• Dissolved oxygen
• Conductivity
• pH
General Chemistry
• Turbidity
• Hardness
• Total nitrogen
• Nitrate+nitrite-nitrogen
• Total phosphorus
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• Soluble reactive phosphorus
Metals
• Mercury ( total)
• Methylmercury (dissolved)
• Aluminum (dissolved and total)
• Iron (dissolved and total)
The water quality parameter list is divided further into two categories: (1) contaminants of
concern (e.g., metals), and (2) general water quality conditions that may adversely affect fish
species.
Inclusion of the nutrient parameters will be used to inform the productivity studies and
potentially be used to develop habitat suitability criteria (HSC) curves for select aquatic
communities. Response of biological communities like periphyton and benthic
macroinvertebrates to nutrient concentrations will be predicted for alternative operational
scenarios.
5.5.4.6. Sediment Samples for Mercury/Metals in the Reservoir Area
This task is designed to gather specific information on the distribution of Susitna River sediment
contaminants of concern in potential source areas. In general, all sediment samples will be taken
from sheltered backwater areas, downstream of islands, and in similar riverine locations in which
water currents are slowed, favoring accumulation of finer sediment along the channel bottom.
Samples will be analyzed for total metals, including aluminum, arsenic, cadmium, chromium,
copper, iron, lead, mercury, nickel, selenium, and zinc. In addition, sediment size and total
organic carbon (TOC) will be included to evaluate whether these parameters are predictors for
elevated metal concentrations. Samples will be collected just below and above the proposed dam
site. Additional samples will be collected near the mouths of tributaries near the proposed dam
site, including Fog, Deadman, Watana, Tsusena, Kosina, Jay, and Goose creeks, and the Oshetna
River. The purpose of this sampling will be to determine where metals, if found in the water or
sediment, originate in the drainage. Toxics modeling will be conducted to address potential for
bioavailability in resident aquatic life. Comparison of bioaccumulation of metals in tissue
analysis with results from sediment samples will inform on potential for transfer mechanisms
between source and fate.
Two types of modeling analysis will be completed: (1) pathway model analysis, and (2)
numerical modeling using EFDC (Section 5.6). First, pathway models will be constructed for
preliminary evaluation of potential for transfer between media (e.g., sediment–pore water, pore
water–surface water, surface water–fish tissue). Exposure concentrations will be estimated for
each toxic within the medium sampled (e.g., sediment, pore water, surface water) and companion
parameters (e.g., hardness and pH) will be collected that enable calculation of chronic and acute
toxics concentrations to aquatic life. Potential for transfer of toxics between media will be
facilitated by surrounding physicochemical conditions like low dissolved oxygen conditions, low
pH resulting from low dissolved oxygen concentrations, or low redox potential. These
companion field measurements will be made along with all media sampled at each site. Transfer
potential of toxics between media will be identified under two conditions: (1) when field
parameters listed above are at levels that result in mobilization of toxics between media, and (2)
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when toxics mobilize along a concentration gradient and transfer from high concentration to
media with a lower concentration. Potential for bioaccumulation in aquatic life is determined
when chronic thresholds for toxics exposure in a medium are identified. Potential for mortality is
determined when acute criteria for toxics in a medium are exceeded.
Most of the contaminants of interest are typically associated with fine sediments, rather than with
coarse-grained sandy sediment or rocky substrates. Therefore, the goal of the sampling will be to
obtain sediments with at least 5 percent fines (i.e., particle size less than 0.0025 inches [63
micrometers], or passing through a #230 sieve). At some locations, however, larger-sized
sediments may b e all that are available.
The sediment samples will be collected using an Ekman dredge or a modified Van Veen grab
sampler. Sampling devices will be deployed from a boat. Samples may also be collected by
wading into shallow nearshore areas. To the extent possible, samples will consist of the top 6
inches (15 centimeters) of sediment. Comparison of results from the Susitna drainage will be
made with other studies for Blue Lake, Eklutna Lake, and Bradley Lake when similar data are
available and where physical settings are comparable.
5.5.4.7. Baseline Metals Levels in Fish Tissue
Two screening level tasks will be conducted. The first will be for methylmercury in sport fish.
Methylmercury bioaccumulates and the highest concentrations are typically in the muscle tissue
of adult predatory fish. Final determination of tissue type(s) for analysis will be coordinated
with ADEC’s Division of Environmental Health and guidance on fish tissue sampling. Results
can be shared by ADEC with the State Health Department to develop fish consumption advice, if
necessary. Target fish species in the vicinity of the Watana Reservoir will be Dolly Varden,
Arctic grayling, whitefish species, long nose sucker, lake trout, burbot, and resident rainbow
trout. If possible, filets will be sampled from seven adult individuals from each species. Adult
fish from each of the species will be collected in order to estimate the metals concentrations in
fish tissue (metals to be analyzed in fish tissue are listed in Table 5.5-3). Collection times for fish
samples will occur in late August and early September. Filet samples will be analyzed for methyl
and total mercury.
Liver samples will also be collected from burbot and analyzed for mercury, methylmercury,
arsenic, cadmium, and selenium.
Field procedures will be consistent with those outlined in applicable Alaska state and/or EPA
sampling protocols (USEPA 2000). Clean nylon nets and polyethylene gloves will be used
during fish tissue collection. The species, fork length, and weight of each fish will be recorded.
Fish will be placed in Teflon® sheets and into zipper-closure bags and placed immediately on ice.
Fish samples will be submitted to a state-certified analytical laboratory for individual fish muscle
tissue analysis. Results will be reported with respect to applicable Alaska and federal standards
as well as published scientific literature based on both field observations and controlled
laboratory experiments.
Results from fish tissue analysis will also be used as a description of bioaccumulative baseline
toxics prior to the proposed Project. Results from the toxics pathways model and from the
numeric model will be used to determine how the proposed Project may increase the potential of
current metals concentrations to become bioavailable. The projected water conditions in the
reservoir will be estimated and current results for metals concentrations re-evaluated for
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determining potential toxicities to resident and anadromous fish species. Detection of mercury in
fish tissue and sediment will prompt further study of naturally occurring concentrations in soils
and plants and how parent geology contributes to concentrations of this toxic in both
compartments of the landscape. The focused study will estimate the extent and magnitude of
mercury contamination so that an estimate of increased bioavailability might be made once the
reservoir inundates areas where high concentrations of mercury are sequestered. Detectable
concentrations of mercury may prompt additional sampling and analysis of tissues in the benthic
macroinvertebrate community. The biomagnification of mercury contamination from sediments
and plants to the fish community may be facilitated through consumption of contaminated food
sources like the benthic macroinvertebrates. Contamination of this component of a trophic level
may also be a conduit for mercury biomagnification in waterfowl and other wildlife that
consume this food source.
5.5.4.8. Technical Report on Results
The technical report will include a description of the study goals and objectives, assumptions
made, sample methods, analytical results, models used, and other background information. Field
data, laboratory report, and quality assurance information will be attached.
A summary data report will be constructed that includes a description of patterns and an
explanation for field parameters and general chemistry conditions. The origin of patterns in water
quality data sets collected as part of this study may be due to seasonal influence (e.g., changes
mediated by climate patterns), influence of tributary water chemistry on mainstem conditions, or
in the case of sloughs may be moderated by groundwater influence.
The intensity of sampling effort is expected to be greater at Focus Areas and so resolution of
changes in field parameters, general chemistry, and metals chemistry is expected to be described
in finer detail. Spatial water quality conditions will be described in greater detail at these Focus
Areas (Section 5.5.4.5) and be sampled every two weeks. Select field parameters (water
temperature and dissolved oxygen concentration) will be collected on a continuous basis and
downloaded during each of the Focus Area visits and will be able to describe daily diurnal
patterns from these data.
Comparison of data will be made with existing and appropriate water quality criteria, sediment
thresholds, and fish tissue screening levels. Surface water results will be compared to Alaska
Water Quality Standards (18 ACC 70.020(b)) for protection of beneficial uses in fresh water.
Sediment and fish tissue results will be compared to the Screening Quick Reference Tables
(SQuiRTs) used by the National Oceanic and Atmospheric Administration (NOAA) to determine
if thresholds for toxicity to aquatic life have been exceeded.
The focused effort in characterizing current mercury conditions through monitoring and
modeling in the vicinity of the proposed dam site is described further in Sections 5.6 and 5.7. A
general description of the approach and reporting of results for the mercury study is summarized
here.
Mercury will be modeled using three methods:
1. Water quality modeling of the reservoir will predict whether the conditions for the
formation of methylmercury will be present, and where in the reservoir this may occur.
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2. The linear model of Harris and Hutchinson (2008) will provide an initial prediction of
peak mercury concentrations in fish.
3. The phosphorous release model will be used to evaluate when peak methylmercury
production may occur.
The report will include a conceptual model showing mercury inputs to the reservoir, mercury
methylation, mercury circulation among different media (fish, air, water, sediment, etc.), and
bioabsorption and transfer. Strategies to manage mercury methylation, bioaccumulation, and
biomagnification will be reviewed (Mailman et al. 2006).
Sediment, water, and tissue results from toxics analysis will use NOAA Screening Quick
Reference Tables (SQuiRTs). These are thresholds used as screening values for evaluation of
toxics and potential effect to aquatic life in several media and will be implemented where ADEC
water quality, sediment, or tissue criteria are not available.
An example for SQuiRT values can be found at the following website:
http://mapping2.orr.noaa.gov/portal/sanfranciscobay/sfb_html/pdfs/otherreports/squirt.pdf
Specific thresholds and criteria for toxics in each of the media will be included in a QAPP. The
Water Resources Technical Workgroup will be consulted before final criteria and thresholds are
finalized and used to interpret toxics monitoring results from sediment, water, and fish tissue.
5.5.4.9. Pilot Thermal Imaging Assessment of a Portion of the Susitna River
Thermal imagery data using Forward Looking Infra-Red (FLIR) technology of the entire middle
portion of the Susitna River was collected in October 2012. The data from the thermal imaging
will be ground-truthed and the applicability and resolution of the data will be determined in
terms of identifying water temperatures and thermal refugia/upwelling. Ground-truthing will
occur by using the existing continuous temperature monitoring data from buoy systems and bank
installation equipment for the 2012 Temperature Monitoring Study. In coordination with the
instream flow and fish studies, a determination will be made as to whether thermal imaging data
will be applicable and whether or not additional thermal imagery will be collected during the
2013 field season to characterize river temperature conditions. The results of the thermal
imaging pilot test will be available by January 2013.
If the pilot study is successful, then a description of thermal refugia throughout the Project area
can be mapped using aerial imagery calibrated with on-the-ground verification. The verification
data used will be collected at the same time as the aerial imagery (or nearly the same time) using
the established continuous temperature monitoring network and additional grab sample
temperature readings where there may be gaps, such as in select sloughs. The elements described
in the following sections are important considerations for data collection, specifications for data
quality, and strategy for relating digital imagery and actual river surface water temperatures.
If the thermal imaging is not successful, the study component will be reevaluated. Future actions
will depend on the causes of the failure. Potential causes for failure could include:
• Poor timing for the data acquisition flight.
• Insufficient differences in temperature between groundwater and surface water.
• Complex missing or dilution of the groundwater signal.
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Potential solutions would include:
• Hand held FLIR meters that could be used during stream side studies, and a more focused
thermal mapping task within focus areas using hand-held temperature meters and probes
may prove useful.
• Use of documentation of open water leads as a substitute.
• Outfit the R44 helicopter to take advantage of regular field presence. Thermal imagery
could be shot all summer long and brief intervals of ideal conditions could be used.
• The Focus Area results represent habitat identified as representative of the most
important for fisheries use as described by the rational for site selection in Section 8.5.4.2
of the RSP. These results can be extrapolated to similar reaches, side channels, and
sloughs in other areas of the Susitna drainage not directly monitored in this study to
determine thermal refugia for fish.
5.5.4.10. Re-fly the thermal imaging under better conditions (a greater contrast in
temperature between groundwater and surface water).Radiant Temperature
Remotely sensed thermal images allow for spatially distributed measurements of radiant
temperatures in the river. Radiant temperature measurements are made only on the surface layer
of the water (top 4 inches [10 centimeters]). Temperature readings can vary depending on the
amount of suspended sediment in the water and the turbidity of the water. Collection of data will
occur near the end of October when the freeze begins and the contrast between cold surface
water and warmer groundwater influence is accentuated. The suspended sediment and turbidity
will be diminished during this period of the year when the glacial flour content in the water
column from glacial meltwater is reduced.
Spatial Resolution
The key to good data quality is determining the pixel size of the thermal infra-red (TIR) sensor
and how that relates to the near-bank environment. Best practice is three pure-water pixels
(ensures that the digital image represented by any three contiguous pixels discriminates water
from land). Very fine resolution (0.7 to 3.3 feet [0.2 to 1 meter]) imagery is best used to
determine groundwater springs and cold water seeps. Larger pixels can be useful for determining
characteristic patterns of latitude and longitude thermal variation in riverine landscapes.
5.5.4.11. Calibrating Temperature
Water temperatures change during the day; therefore, measurements should occur near the same
time each day and when water temperature is most stable (early afternoon). Data used from the
continuous temperature probes throughout the middle reach will be the same time interval as
thermal imaging collected at each location. Site selection for validation sampling will be
determined by channel accessibility and where there is not known influences of tributaries or
seeps in the area. Hand-held ground imaging radiometers can provide validation as long as the
precision is at least as good as that expected from airborne TIR measurements. Availability of
historical satellite imagery for thermal analysis will be investigated. Historical thermal imagery
may enable exploration of potential trends in water temperature both spatially and temporally.
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5.5.4.12. Groundwater Quality in Selected Habitats
The purpose of studying groundwater quality will be to characterize the water quality differences
between a set of key productive aquatic habitat types (three to five sites) and a set of non-
productive habitat types (three to five sites) that are related to the absence or presence of
groundwater upwelling to improve the understanding of the water quality differences and related
groundwater/surface water processes. Concern for sensitive fisheries habitat in floodplain
shallow alluvial aquifers and changes to this habitat from Project operations is the focus for
identifying environmental conditions that will affect food-chain elements (e.g., periphyton and
benthic macroinvertebrates). The groundwater/surface water exchange (Section 7.5) is expected
to influence the energy flow from primary producers (periphyton) to consumers at an
intermediate level in the trophic food web (Section 9.8, River Productivity Study). An estimate
of density and mass for each of these trophic food web components in target habitats will
represent production of the food base and be compared against production necessary to support
current fisheries populations. These sites will be co-located within the Focus Areas (Section
5.5.4.5) in order to measure groundwater input and influence on surface water chemistry.
Basic water chemistry information (temperature, dissolved oxygen [DO], conductivity, pH,
turbidity, redox potential) that defines habitat conditions will be collected at selected instream
flow, fish population, and riparian study sites. These data will be used to characterize
groundwater and surface water interactions.
5.5.5. Consistency with Generally Accepted Scientific Practice
Studies, field investigations, laboratory testing, engineering analysis, etc. will be performed in
accordance with general industry accepted scientific and engineering practices. The methods
and work efforts outlined in this study plan are the same or consistent with analyses used by
applicants and licensees and relied upon by FERC in other hydroelectric licensing proceedings.
The process for developing and implementing a water quality monitoring program ensures that
high quality data is generated for use in regulatory decision-making and management of aquatic
resources. Products like the: Quality Assurance Project Plan, use of NELAP Certified laboratory
to analyze water samples, and sampling design for appropriate characterization of current water
quality will ensure that complete documentation improves performance in implementing the
Study Design.
5.5.6. Schedule
Baseline Water Quality Study elements will be completed in several stages and based on the
timeline shown in Table 5.5-5. The thermal imaging data was acquired in October 2012, and will
be processed and available for use in January 2013. Met stations were installed in August of
2012, and will collect data till the end of the project. The QAPP and SAP has been completed
and is attached to this RSP. It will continue to be refined as the project goes forward. The
temperature sensors were deployed in the river in August of 2012. They will continue recording
data till the third quarter of 2014. It is anticipated that the sensors will have to be periodically
replaced due to damage by ice, current, or battery replacement. Water quality monitoring will
start in March 2013, and continue periodically throughout the remainder of the year. Sediment
and fish tissue sampling will occur in July and August. Some fish tissue sampling has already
been completed, in August of 2012. Data management will occur throughout the data acquisition
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phase of the project. The initial study repot will be completed by December 2014, with the final
due in the first quarter of 2015.
5.5.7. Relationship with Other Studies
A flow chart describing interdependencies (Figure 5.5-3) outlines origin of existing data and
related historical studies, specific output for each element of the Water Quality studies, and
where the output information generated in the Water Quality studies will be directed. This chart
provides detail describing flow of information related to the Water Quality studies, from
historical data collection to current data collection. Data were examined in a Water Quality Data
Gap Analysis (URS 2011), and this information was used, in part, to assist in making decisions
about the current design for the Baseline Water Quality Monitoring Study and for ensuring that
the current modeling effort would be able to compare the 1980s study results with results of
planned modeling efforts.
Integral portions of this interdependency chart are results from the Ice Processes Study and from
the Fish and Aquatic Instream Flow Study. The Ice Processes Study will support water quality
model development (Section 5.6) with information about timing and conditions for ice formation
and ice break-up. The Fish and Aquatic Instream Flow Study represents the effort to develop a
hydraulic routing model that will be coupled with the EFDC water quality model. Water quality
monitoring efforts for field parameters, general chemistry, and metals (including mercury) will
be used as a calibration data set for developing the predictive EFDC model.
5.5.8. Level of Effort and Cost
The estimated cost for the Water Quality Baseline Monitoring Study in the Susitna basin in 2013
and 2014 is approximately $6,000,000, not including the cost of the thermal imaging.
5.5.9. Literature Cited
Alaska Department of Environmental Conservation (ADEC). 2003. Alaska Water Quality
Criteria Manual for Toxic and Other Deleterious Organic and Inorganic Substances. Alaska
Department of Environmental Conservation: Division of Water. Juneau, Alaska. 51p.
ADEC. 2005. Water Quality Assessment and Monitoring Program. Alaska Department of
Environmental Conservation: Division of Water. Juneau, Alaska. 58p.
ADEC. 2012. Mercury concentration in fresh water fish Southcentral Susitna Watershed.
Personal communication with Bob Gerlach, VMD, State Veterinarian. June 2012.
Edwards, T.K., and D.G. Glysson. 1988. Field methods for measurement of fluvial sediment.
U.S. Geological Survey Open-File Report 86-531, 118p.
Frenzel, S.A. 2000. Selected Organic Compounds and Trace Elements in Streambed Sediments
and Fish Tissues, Cook Inlet Basin, Alaska. USGS Water-Resources Investigations Report
00-4004. Prepared as part of the National Water-Quality Assessment Program.
Harris, R., and Hutchinson, D. 2008. Lower Churchill Hydroelectric Generation Project Environmental
Baseline Report: Assessment of the Potential for Increased Mercury Concentrations. Prepared by
Tetra Tech Inc. March 4, 2008.
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Mailman, M., Stepnuk L., Cicek N., Bodaly R.A. 2006. Strategies to lower methylmercury concentrations
in hydroelectric reservoirs and lakes: A review. Science of the Total Environment 368:224-235.
URS. 2011. AEA Susitna Water Quality and Sediment Transport Data Gap Analysis Report.
Prepared by Tetra Tech, URS, and Arctic Hydrologic Consultants. Anchorage, Alaska.
62p.+Appendixes.
U.S. Environmental Protection Agency (USEPA). 2000. Guidance for Assessing Chemical
Contaminant Data for use in Fish Advisories: Volume 1 Fish Sampling and Analysis, 3rd
Edition. EPA-823-B-00-007. United States Environmental Protection Agency, Office of
Water. Washington, D.C. 485p.
Ward, J.C., and C.A. Harr (eds.). 1990. Methods for collection and processing of surface-water
and bed-material samples for physical and chemical analyses. U.S. Geological Survey
Open-File Report 90-140, 71p.
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 5.5-22 April 2013
5.5.10. Tables
Table 5.5-1. Proposed Susitna River Basin Temperature and Water Quality Monitoring Sites.
Susitna River
Mile
Description Susitna River Slough
ID
Latitude
(decimal degrees)
Longitude
(decimal degrees)
15.1 Susitna above Alexander Creek NA 61.4014 -150.519
25.83 Susitna Station NA 61.5454 -150.516
28.0 Yentna River NA 61.589 -150.468
29.5 Susitna above Yentna NA 61.5752 -150.248
40.63 Deshka River NA 61.7098 -150.324
55.01 Susitna NA 61.8589 -150.18
83.83 Susitna at Parks Highway East NA 62.175 -150.174
83.93 Susitna at Parks Highway West NA 62.1765 -150.177
97.0 LRX 1 NA 62.3223 -150.127
97.2 Talkeetna River NA 62.3418 -150.106
98.5 Chulitna River NA 62.5574 -150.236
103.02,3 Talkeetna NA 62.3943 -150.134
113.02 LRX 18 NA 62.5243 -150.112
120.72,3 Curry Fishwheel Camp NA 62.6178 -150.012
126.0 -- 8A 62.6707 -149.903
126.12 LRX 29 NA 62.6718 -149.902
129.23 -- 9 62.7022 -149.843
130.82 LRX 35 NA 62.714 -149.81
135.3 -- 11 62.7555 -149.7111
136.5 Susitna near Gold Creek NA 62.7672 -149.694
136.83 Gold Creek NA 62.7676 -149.691
138.01 -- 16B 62.7812 -149.674
138.63 Indian River NA 62.8009 -149.664
138.72 Susitna above Indian River NA 62.7857 -149.651
140.0 -- 19 62.7929 -149.615
140.12 LRX 53 NA 62.7948 -149.613
142.0 -- 21 62.8163 -149.576
148.0 Susitna below Portage Creek NA 62.8316 -149.406
148.82 Susitna above Portage Creek NA 62.8286 -149.379
148.8 Portage Creek NA 62.8317 -149.379
148.83 Susitna above Portage Creek NA 62.8279 -149.377
165.01 Susitna NA 62.7899 -148.997
180.31 Susitna below Tsusena Creek NA 62.8157 -148.652
181.33 Tsusena Creek NA 62.8224 -148.613
184.51 Susitna at Watana Dam site NA 62.8226 -148.533
194.1 Watana Creek NA 62.8296 -148.259
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FERC Project No. 14241 Page 5.5-23 April 2013
Susitna River
Mile
Description Susitna River Slough
ID
Latitude
(decimal degrees)
Longitude
(decimal degrees)
206.8 Kosina Creek NA 62.7822 -147.94
223.73 Susitna near Cantwell NA 62.7052 147.538
233.4 Oshetna Creek NA 62.6402 -147.383
1 Site not sampled for water quality or temperature in the 1980s or location moved slightly from original location.
2 Proposed mainstem Susitna River temperature monitoring sites for purposes of 1980s SNTEMP model
evaluation.
3 Locations with overlap of water quality temperature monitoring sites with other studies.
Locations in bold font represent that both temperature and water quality samples are collected from a site.
Table 5.5-2. Proposed Susitna-Watana Meteorological Stations.
Susitna River Mile Description Station Status (New / Existing)
Latitude (Decimal
degrees)
Longitude
(Decimal
degrees)
44.3 Willow Creek Existing (Talkeetna
RWIS) 61.765 -150.0503
80.0 Susitna River near Sunshine Gage Existing (Talkeetna
RWIS) 62.1381 -150.1155
95.9 Susitna River at Talkeetna Existing (Talkeetna
Airport) 62.32 -150.095
136.8 Susitna River at Indian River New 62.8009 -149.664
184.1 Susitna River at Watana Dam Camp
(upland on bench) New 62.8226
-148.5330
224.0 Susitna River above Cantwell New 62.7052
-147.53799
Note: Our ability to upgrade existing met stations is currently being evaluated. If existing met stations cannot be upgraded, new
met stations may be installed.
Table 5.5-3. Parameters for water quality monitoring and laboratory analysis (Baseline Water Quality Monitoring and
Focus Area monitoring).
Parameter Analysis Method Sample Holding Times
In Situ Water Quality Parameters
Dissolved Oxygen (DO) Water Quality Meter Not Applicable
pH Water Quality Meter Not Applicable
Water Temperature Water Quality Meter Not Applicable
Specific Conductance Water Quality Meter Not Applicable
Turbidity Water Quality Meter Not Applicable
Redox Potential Water Quality Meter Not Applicable
Color Platinum-Cobalt Scale (SM) Not Applicable
Residues Defined in 18 ACC 70 Not Applicable
General Water Quality Parameters (grab samples for laboratory analysis)
Hardness EPA - 130.2 180 days
Nitrate/Nitrite EPA - 353.2 48 hours
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
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FERC Project No. 14241 Page 5.5-24 April 2013
Parameter Analysis Method Sample Holding Times
Alkalinity EPA - 2320 14 days
Ammonia as N EPA - 350.1 28 days
Total Kjeldahl Nitrogen EPA - 351.2 28 days
Total Phosphorus EPA - 365.3 28 days
Ortho-phosphate EPA - 365.3 48 hours
Chlorophyll-a SM 10300 28 days
Total Dissolved Solids EPA - 160.1 7 days
Total Suspended Solids EPA - 160.2 7 days
Turbidity EPA - 180.1 48 hours
TOC EPA - 415.1 28 days
DOC EPA – 415.1 28 days
Fecal Coliform EPA 1604 30 hours
Petroleum Hydrocarbons EPA 602/624 (TAqH)
EPA 610/625 (TAH) 14 days
Radionuclides1 EPA 900.0, 901.1, 903.1, 904.0,
905.0, Alpha Spectroscopy 5 days
Metals – (Water) Dissolved and Total
Aluminum EPA – 6010B/6020A 48 hours
Arsenic EPA – 6010B/6020A 48 hours
Barium EPA – 6010B/6020A 48 hours
Beryllium EPA – 6010B/6020A 48 hours
Cadmium EPA – 6010B/6020A 48 hours
Chromium (III & IV) EPA – 6010B/6020A 48 hours
Cobalt EPA – 6010B/6020A 48 hours
Copper EPA – 6010B/6020A 48 hours
Iron EPA – 6010B/6020A 48 hours
Lead EPA – 6010B/6020A 48 hours
Magnesium EPA – 6010B/6020A 48 hours
Manganese EPA – 6010B/6020A 48 hours
Mercury
(Total and methylmercury) EPA – 1631E/1630 48 hours
Molybdenum EPA – 6010B/6020A 48 hours
Nickel EPA – 6010B/6020A 48 hours
Selenium EPA – 6010B/6020A 48 hours
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 5.5-25 April 2013
Parameter Analysis Method Sample Holding Times
Thallium EPA – 6010B/6020A 48 hours
Vanadium EPA – 6010B/6020A 48 hours
Zinc EPA – 6010B/6020A 48 hours
Metals –Sediment (Total)
Aluminum EPA - 200.7 180 days
Arsenic EPA - 200.7 180 days
Cadmium EPA - 200.7 180 days
Copper EPA - 200.7 180 days
Iron EPA - 200.7 180 days
Lead EPA - 200.7 180 days
Mercury EPA – 1631E 90 days
Zinc EPA - 200.7 180 days
Metals – Fish Tissue (Use EPA Sampling Method 1669) (Mercury Assessment Study Plan 5.7 only)
Total Mercury EPA – 1631E 7 days
Methylmercury EPA – 1630 7 days
Arsenic EPA - 1632, Revision A 7 days
Cadmium EPA - 1632 7 days
Selenium EPA - 1632 7 days
Note: List of Radionuclides suggested for analysis includes the following: Americium-241; Cesium-137; Lead-210; Plutonium-
238, 239, 240; Potassium-40; Radium-226; Radium-228; Strontium-90; Thorium-230, 232; Uranium-234, 235, 238; Tritium
Gross Alpha, Gross Beta
Table 5.5-4. List of water quality parameters and frequency of collection.
Parameter Task Frequency of
Collection
In Situ Water Quality Parameters
Dissolved Oxygen (DO) Baseline WQ and Sediment Each Sampling Event
pH Baseline WQ and Sediment Each Sampling Event
Water Temperature Baseline WQ and Sediment Each Sampling Event
Specific Conductance Baseline WQ and Sediment Each Sampling Event
Turbidity Baseline WQ and Sediment Each Sampling Event
Redox Potential Baseline WQ and Sediment Each Sampling Event
Color Baseline WQ (Visual) Monthly
Residues Baseline WQ (Visual) One Survey-summer
General Water Quality Parameters (grab samples for laboratory analysis)
Hardness Baseline WQ Monthly
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 5.5-26 April 2013
Parameter Task Frequency of Collection
Alkalinity Baseline WQ Monthly
Nitrate/Nitrite Baseline WQ Monthly
Ammonia as N Baseline WQ Monthly
Total Kjeldahl Nitrogen Baseline WQ Monthly
Total Phosphorus Baseline WQ Monthly
Ortho-phosphate Baseline WQ Monthly
Chlorophyll-a Baseline WQ Monthly
Total Dissolved Solids Baseline WQ Monthly
Total Suspended Solids Baseline WQ Monthly
Turbidity Baseline WQ Monthly
TOC Baseline WQ One Survey-summer
DOC Baseline WQ Monthly
Fecal Coliform Baseline WQ One Survey-summer
Petroleum Hydrocarbons Baseline WQ One Survey-summer
Radioactivity Baseline WQ One Survey-summer
Metals – (Water) Dissolved and Total
Aluminum Baseline WQ (Total & Dissolved) One Survey-summer
Arsenic Baseline WQ (Total & Dissolved) Monthly
Barium Baseline WQ (Total & Dissolved) Monthly
Beryllium Baseline WQ (Total & Dissolved) Monthly
Cadmium Baseline WQ (Total & Dissolved) Monthly
Chromium (III & IV) Baseline WQ (Total & Dissolved) One Survey-summer
Cobalt Baseline WQ (Total & Dissolved) Monthly
Copper Baseline WQ (Total & Dissolved) Monthly
Iron Baseline WQ (Total & Dissolved) Monthly
Lead Baseline WQ (Total & Dissolved) Monthly
Manganese Baseline WQ (Total & Dissolved) Monthly
Magnesium Baseline WQ (Total & Dissolved) Monthly
Mercury Baseline WQ (Total & Dissolved) Monthly
Molybdenum Baseline WQ (Total & Dissolved) Monthly
Nickel Baseline WQ (Total & Dissolved) Monthly
Selenium Baseline WQ (Total & Dissolved) One Survey-summer
Thallium Baseline WQ (Total & Dissolved) Monthly
Vanadium Baseline WQ (Total & Dissolved) Monthly
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 5.5-27 April 2013
Parameter Task Frequency of Collection
Zinc Baseline WQ (Total & Dissolved) Monthly
Metals –Sediment (Total)
Aluminum Sediment Samples One Survey-summer
Arsenic Sediment Samples One Survey-summer
Cadmium Sediment Samples One Survey-summer
Copper Sediment Samples One Survey-summer
Iron Sediment Samples One Survey-summer
Lead Sediment Samples One Survey-summer
Mercury Sediment Samples One Survey-summer
Zinc Sediment Samples One Survey-summer
Metals – Fish Tissue (Use EPA Sampling Method 1669)
Total Mercury Fish Tissue Screening One Survey-late summer
Methylmercury Fish Tissue Screening One Survey-late summer
Arsenic Fish Tissue Screening One Survey-late summer
Cadmium Fish Tissue Screening One Survey-late summer
Selenium Fish Tissue Screening One Survey-late summer
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 5.5-28 April 2013
Table 5.5-5. Schedule for Implementation of the Baseline Water Quality Study.
Activity 2012 2013 2014 2015
1 Q 2 Q 3 Q 4 Q 1 Q 2 Q 3 Q 4 Q 1 Q 2 Q 3 Q 4 Q 1 Q
Thermal Imaging (one
survey)
MET Station Installation
and Data Collection
QAPP/SAP Preparation
and Review
Deployment of Temperature
Monitoring Apparatus
Water Quality Monitoring
(monthly)
Sediment Sampling
Fish Tissue Sampling
Data Analysis and
Management
Initial Study Report Δ
Updated Study Report ▲
Legend:
Planned Activity
Δ Initial Study Report
▲ Updated Study Report
FINAL STUDY PLAN BASELINE WATER QUALITY STUDY 5.5
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 29 July 2013
5.5.11. Figures
Figure 5.5-1. Proposed 2012 Stream Water Quality and Temperature Data Collection Sites for the Susitna-Watana Hydroelectric Project.
FINAL STUDY PLAN
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 30 July 2013
Figure 5.5-2. Example of a 10-foot (3-meter) tripod MET station installed above the proposed Watana Dam site.
FINAL STUDY PLAN
Susitna-Watana Hydroelectric Project Alaska Energy Authority
FERC Project No. 14241 Page 31 July 2013
Figure 5.5-3. Interdependencies for water resources studies.
Ice Processes
in the Susitna
River
(7.6)
Fish and Aquatics
Instream Flow
(9)
Ice Dynamics
•Formation
•Breakup
•(4Q-2013?)
Water Quality
Data
(1975-2003)
ADEC
Mercury in
Fish Tissue
(2006)
Hydraulic
Routing
Model
(1Q-2013)
INTERDEPENDENCIES FOR WATER RESOURCES STUDIES
Water
Quality
Monitoring
Mercury
Toxics Data
Baseline
Water Quality
Monitoring
Study
(5.5)
Water Quality
Modeling Study
(5.6)
Mercury Assessment and
Potential for
Bioaccumulation Study
(5.7)
River Productivity Study
(nutrient availability)
(9.08)
Fish Tissue Analysis
Sediment Toxics Analysis
Surface Water Analysis
(1Q-2014)
Water Quality Model (EFDC)
•Ice Dynamics
•WQ Calibration Data
•Mercury (metals) Data
•Hydraulic Routing Model
•Reservoir Trap Efficiency
a) Focus Study Areas
b) Mainstem Conditions
•Riverine Model
•Reservoir Model
(2Q-2014)
Water Quality
Characterization
(Monthly Monitoring)
a)Surface Water
b)Sediment
c)Groundwater
•In Situ parameters
•General parameters
•Metals (one-time)
(1Q-2014)
Water Quality
Model
Development
Groundwater-
Related Aquatic
Habitat Study
(7.5)
Geomorphology
Study
(6)
Wetlands
Study
(11.7)
Wildlife Study
(10.1)
Riparian Study
(11.6)