HomeMy WebLinkAbout02 feb 2012 packetHEALTHY RIVERS AND STREAMS
CITIZENS ADVISORY BOARD
Courthouse Plaza Building
Plaza 1
Aspen, CO
February 16, 2012 - 4 p.m.
4:00 Public Comment
4:05 Board Comment
4:15 Approval of Minutes
January 19, 2012 meeting
4:20 Pitkin County Stream Health
Methodology
Greg Espegren, Aquatic Specialist
and
Lee Rozaklis, Hydrologist
AMEC Environment and Infrastructure
Executive Session
a. Aspen Hydro Project
C.R.S. 24-6-402 (4)(b)
Discussion of drought relief from
instream flows
Upcoming 2012 regular meeting dates
March 15
April 19
May 17
Minutes –Healthy Rivers and Streams Citizens Advisory Board
January 19, 2012
Page 1
HEALTHY RIVERS AND STREAMS CITIZENS ADVISORY BOARD
Meeting Minutes
January 19, 2012
Aspen, CO
Board members present: Ruthie Brown, Greg Poschman, Lisa Tasker, Andre Wille,
Rick Neiley, Bill Jochems, and Steve Hunter
Board members absent: None
Others present: John Ely, Lisa MacDonald, Michael Owsley, Bill Miller
Discussion of Reports on Roaring Fork River Health Study and Northstar Assessment - Bill
Miller of Miller Ecological Consultants presented a powerpoint to the Board on the results of his river health and
geomorphic assessments on the Roaring Fork River. Mr. Miller has been working on two projects for the River
Board analyzing the RF through three different flow regimes. The methodology Mr. Miller employed is the latest
science for analyzing flows.
The Northstar objective was to look at geomorphic assessment of impacts of groundwater changes on wetlands and
grasslands along the valley floor and evaluate the current characteristics of the Roaring Fork River within
Northstar Nature Preserve. The river health study objective was to determine baseline river health conditions.
Mr. Miller discussed the results of his studies and provided recommendations to the Board.
Appointment of Chair and Vice Chair for 2012
Greg Poschman volunteered to Chair the Board. Approval by unanimous acclamation.
Bill Jochems volunteered to be the Vice-Chairman. Approval by unanimous acclamation.
Approval of Minutes
Mr. Jochems moved to approve the minutes from October 20, 2011, November 17, 2011 and
December 6, 2011. Ms. Brown seconded the motion. The motion passed 7 to 0.
Discussion of Colorado River Basin Water Supply and Demand Study
The Board discussed the request for comments regarding the study. The study highlights methodologies for closing
the gap, so comments might be along the assumptions that were used to define the gap to solutions that are
organized to try and meet that supply and demand. An opinion letter is due February 1, 2012 if the Board has
comments.
Mesa Land Trust request for participation in Amicus Brief
The Board received a request on behalf of Mesa Land Trust (MLT) asking for support from the land trust
community in filing an amicus curiae (friend of the court) brief with the Colorado Court of Appeals, in the case of
Mesa County Land Conservancy v. Sam A. Allen, et al, Colorado Court of Appeals Case No. 2011CA1416. On June
2, 2011, the Mesa County District Court entered a final order in favor of MLT compelling the water rights in
question remain tied to the land, as required by the conservation easement. The property owner wants the ability
to dry the land and then transact the water. There is a request to recommend to the Board of County
Commissioners to lend its name and support to the amicus brief.
Mr. Neiley moved to recommend to the Board of County Commissioners participation in the
amicus brief. Mr. Wille seconded the motion. The motion passed 7 to 0.
Executive Session
Mr. Neiley moved to enter into executive session pursuant to C.R.S. § 24-6-402 (4)(b) for the
purpose of discussing the Aspen Hydro Project and Aspen Diligence Water Application,
Chairman Poschman seconded the motion. Motion passed 7 to 0.
Minutes –Healthy Rivers and Streams Citizens Advisory Board
January 19, 2012
Page 2
Adjourn
The meeting adjourned at approximately at 6:45 pm.
Approved: Attest:
Greg Poschman – Chairman Lisa MacDonald
Healthy Rivers and Streams Board
A Scientific/Social Framework
for Managing Impacts of Trans-Basin Water Diversions
to Protect Stream Health in Pitkin County, Colorado
February 2012
Greg Espegren
Aquatic Specialist
P.O. Box 4115
Eagle, CO 81631
and
Lee Rozaklis
Hydrologist
AMEC Environment and Infrastructure
Boulder, CO
A Scientific/Social Framework
for Managing Impacts of Trans-Basin Water Diversions
to Protect Stream Health in Pitkin County, Colorado
Introduction
This report was prepared in response to the Pitkin County Healthy Rivers and Streams (HRS)
Board’s interest in developing a framework that can be used to analyze, evaluate and manage the
potential impacts of water diversions to protect the aquatic health of streams in Pitkin County.
While all diversions deplete stream flows to some extent, the HRS Board is particularly
concerned about trans-basin diversions, which are 100% depletive to the basin of origin.
Three major trans-basin diversion projects currently divert water from the Roaring Fork
watershed: the Fryingpan-Arkansas Project, the Busk Ivanhoe System and the Independence Pass
Transmountain Diversion System (Driscoll 2011)1. Driscoll notes that these projects currently
divert over 40% of the native flow from the Roaring Fork and Fryingpan River headwater
tributaries and that “each of the projects is still incomplete, with undeveloped conditional water
rights, excess diversion capacity, and even major structural components that could yet be built”.
We begin this paper with a brief discussion of current science regarding stream flow regimes and
healthy streams and the practical implications of applying that science to managing impacts of
water diversions to protect stream health. We conclude that evaluation and management of
impacts of water diversions to protect stream health must necessarily be an ongoing process that
involves scientific and social considerations as well as ongoing monitoring and adaptive
management. Based on this conclusion, we recommend that the HRS Board adopt a
scientific/social decision-making framework, combined with monitoring and precautionary
adaptive management to accommodate the needs of water development while maintaining
healthy streams. We then describe our recommended framework and illustrate its application
utilizing the City of Aspen’s proposed Castle Creek Hydropower facility as an example.
1 A fourth trans-basin diversion project – the Homestake Diversion Project - also diverts water from the upper
Homestake Creek watershed in Pitkin County.
A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Stream Flow Regimes and Healthy Streams
In 1973, Colorado recognized instream flow as a beneficial use of water and vested the Colorado
Water Conservation Board (CWCB) with the exclusive authority to appropriate water rights as
may be required for minimum stream flows that “preserve the natural environment to a
reasonable degree” (CRS 37-92-102(3))2. The CWCB and Colorado Division of Wildlife
typically use the R2Cross methodology to quantify such minimum flows to appropriate instream
flow rights (Espegren 1996). However, Colorado’s application of the R2Cross methodology for
this purpose typically results in one or two specified minimum flow rates covering the entire year
for a given stream segment, which does not address the more complex and variable flow regime
needed to maintain stream health. The use of R2Cross as a habitat modeling tool has been
criticized by the science community as not addressing flow needs for intra- or inter-annual
hydrologic variability and not providing the necessary variable flow regime critical to riverine
ecology (IFC 2002). Scientists now recognize that “the naturally variable flow regime, rather
than just a minimum flow, is required to sustain freshwater ecosystems” (Poff et al., 2010).
Today, it is generally accepted that it is in society’s best interests to consider both
aquatic/riparian ecosystems and humans as legitimate “users” of freshwater (Arthington et al.,
2006). While scientists often refer to stream flow as “the master variable” (Poff et al., 1997) or
the “maestro…that orchestrates pattern and process in rivers” (Walker, Sheldon & Puckridge,
1995), they also recognize that a healthy stream is “an ecosystem that is sustainable and resilient,
maintaining its ecological structure and function over time while continuing to meet societal
needs and expectations” (Meyer 1997). Scientists have also defined environmental flows as “the
quantity, timing and quality of water flows required to sustain freshwater and estuarine
ecosystems and the human livelihood and well-being that depend on these ecosystems” (Poff et
al., 2010). These definitions lead to the conclusion that a healthy stream can exist with
appropriate environmental flow protection while also serving human uses. Given the limited
availability and critical importance of flowing water ecosystems in semi-arid Colorado and the
range of available water supply alternatives for meeting human needs, healthy streams in Pitkin
County should be defined in a manner that accommodates human needs to the extent that does
not significantly impact aquatic and riparian ecosystems.
Scientists have determined that stream flow modifications can induce ecological alterations (Poff
et al., 2010). However, they also recognize that it is often difficult to determine which attributes
of an altered flow regime are directly responsible for aquatic impacts (Bunn and Arthington
2002). Based on a global literature review of 165 scientific papers on ecological responses to
altered flow regimes, Poff and Zimmerman (2010) conclude that while existing literature does
not support the development of general, transferable quantitative relationships between flow
alteration and ecological response, sufficient evidence exists to infer that “flow alteration is
associated with ecological change and that the risk of ecological change increases with
increasing magnitude of flow alteration.”
2 More recently, the Colorado legislature has expanded the scope of the CWCB’s authority when it comes to acquiring water,
water rights, or interests in water from others (as opposed to appropriating new instream flow rights). The CWCB can now
engage in such activities “to preserve or improve the natural environment to a reasonable degree.”
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
A Scientific/Social Decision-Making Framework
These two conclusions – that healthy streams can accommodate some amount of human needs
without significantly impacting aquatic and riparian ecosystems, and that reliable ‘cookbook’
formulas for quantifying environmental flows are not yet available – have led scientists to
propose a decision-making framework that combines scientific and social considerations with
adaptive management to evaluate, quantify and manage the relationships between flow alteration
and stream health.
Two examples of such a decision-making framework include the Ecologically Sustainable Water
Management (ESWM), proposed by Richter et al (2005), and the Ecological Limits of
Hydrologic Alteration (ELOHA), proposed by Poff et al (2010). Both examples have received
attention in the scientific and water management literature and are summarized below.
Summary of Ecologically Sustainable Water Management (ESWM)
Richter (2005) states that ESWM “is built on the understanding that societal values for a river are
optimized when water is stored, diverted, and released in a manner that meets human needs for
energy production, water supply, and other municipal and industrial needs while maintaining
adequate flows to sustain a healthy ecosystem.”
Richter designed ESWM as a tool to guide hydropower owners through a three-phase framework
for ecologically sustainable water management. As such, the focus of Richter’s 2005 paper is
using ESWM within the Federal Energy Regulatory Commission’s hydropower relicensing
process. However, ESWM can be broadened and applied in other decision-making processes
where the goal is to manage the impacts of a specific water diversion project to ensure protection
of the aquatic environment.
The ESWM framework consists of a Problem Definition phase where ecosystem flow
requirements are compared against the impact of human activities to identify potential areas of
incompatibility. It then moves into a Search for Solutions phase where collaborative dialogue
is encouraged and manipulative experiments are conducted in an attempt to identify potential
solutions to these areas of incompatibility. The last phase is Adaptive Management where the
impacts of water diversions on aquatic health are balanced and fine-tuned over time using an
iterative monitoring and adaptive management plan, which requires sufficient governance
authority and funding support.
Summary of Ecological Limits of Hydrologic Alteration (ELOHA)
The ELOHA framework reflects the consensus view of the international scientific community of
a process for developing and implementing environmental flow standards at a regional scale.
ELOHA is grounded in several important scientific foundations:
¾ The natural variable stream flow regime has been identified as the most important
determinant of river ecosystems.
¾ There is a rich tool box available for hypothesizing flow alteration-ecosystem response
relationships and identifying environmental flow needs.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
¾ There is a sound conceptual foundation for doing regional flow assessments based upon
river classification.
¾ Hydrologic models of appropriate sophistication are necessary for this work and are
readily available.
¾ Sustainable water management requires a collaborative and ongoing socio/scientific
management and governance process.
The ELOHA framework consists of a scientific process, a social process and a monitoring and
adaptive management feedback loop. The scientific process establishes a hydrologic foundation
for analysis, classifies rivers based upon their hydrologic and geomorphic aspects, analyzes flow
alterations that would be caused by a given development proposal, and suggests flow alteration-
ecosystem response relationships for each river type. The social process identifies societal
values, water management needs and acceptable ecological conditions; establishes environmental
flow standards, and creates the necessary implementation structures and agreements for applying
those standards. The monitoring and adaptive management feedback loop provides a means for
fine-tuning environmental flow standards over time through ongoing monitoring and refining of
flow alteration-ecosystem response relationships and adjustment of project operations.
Poff recognizes that scientific uncertainty exists in the flow alteration-ecological response
relationships and suggests that these relationships will need to be developed over time by
combining information from existing hydro-ecological literature, expert knowledge and field
studies across gradients of flow alteration. As such, the ELOHA process must take place in an
environment where stakeholders are willing to evaluate acceptable risk as a balance between
ecological goals, economic costs, and scientific uncertainties associated with the relationships
between flow alteration and aquatic health.
The ESWM and ELOHA frameworks are similar in structure as both rely on a combination of
scientific knowledge and social values to find a balance between ecological flow requirements
and water management schemes. They also both utilize an iterative monitoring and adaptive
management plan approach to fine-tune stream flow requirements over time.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Recommended Framework
There is an inherent interaction between science and society built into the ESWM and ELOHA
frameworks. Our review of the literature shows that scientists believe this interaction is
necessary to achieve a balance between aquatic health and human water needs. They also
believe that an iterative monitoring/adaptive management approach is necessary because of: (1)
the uncertainty in the relationship between altered flows and ecological response, and (2) the
likelihood that ecological flow requirements will vary between individual streams and water
development projects. We therefore recommend that the HRS Board adopt a decision-making
framework derived from the ESWM/ELOHA frameworks to address water development needs
while assuring protection of the aquatic health of streams in Pitkin County. Our recommended
decision-making framework is depicted as a series of steps and sub-steps in Figure 1 below.
Figure 1: Recommended Decision-Making Framework
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
There are four primary steps in our recommended framework: (1) developing a hydrologic
foundation, (2) establishing flow-ecology relationships, (3) instituting a scientifically supported
social process to articulate an acceptable balance between protecting stream health and meeting
water development needs, and (4) implementing a precautionary adaptive management process.
Steps 1 through 3 are followed in progression to develop an initial set of acceptable flow
standards that address all aspects of the natural flow hydrograph needed to maintain healthy
streams (Step 3b). These initial flow standards are then implemented and become part of an
iterative, monitoring and adaptive management feedback loop (Step 4). Each step is described in
greater detail below.
We note that the process illustrated above and described below could be implemented both in a
reactive manner, in response to a specific trans-basin diversion proposal, and (particularly Steps
1 – 3) as part of a pro-active effort by Pitkin County and local stakeholders to better define water
needs for stream health prior to and in anticipation of future trans-basin diversion proposals.
Step 1: Hydrologic Foundation
Establishing a hydrologic foundation is an essential component in assessing the impacts of flow
alteration upon stream health and necessarily involves hydrologic modeling based upon relevant
stream flow data. In this step, the natural and pre-project stream flow regimes and the effects of
a trans-basin diversion proposal upon those stream flow regimes would be characterized.
Step 1a: Flow Data and Modeling
A hydrologic model is a key component of our recommended framework. It is essential for
characterizing the stream flow regime, water potentially available for diversion, and changes in
stream flow attributable to diversions and human activities. Hydrologic modeling should meet
the following general requirements:
¾ Modeling should cover a hydrologic study period of at least twenty years, which should
include representative wet years and dry years, in order to capture a representative range of
natural flow conditions.
¾ Stream flow should be modeled on a daily time step and should be based upon actual stream
gage records representative of the proposed diversion location, in order to realistically model
short-term flow variations. While predictive models may be useful for estimating daily flows
for ungaged streams (Sanborn and Bledsoe 2006), such models should be verified by
measurement of stream flows at or near the proposed project location for a period of at least
five years, which period should include wet years and dry years.
¾ Modeling should produce results at the proposed diversion location and at strategic
downstream locations where changes in hydrology, geomorphology and/or aquatic health are
likely to occur due to diversions, storage, return flows, inflow from surface tributaries or
surface water/groundwater interactions.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Steps 1b and 1c. Baseline and Developed Hydrographs
Hydrologic modeling should be used to produce stream flow time series for three conditions:
natural flows, pre-project (which should reflect flow alterations attributable to existing
projects/activities), and post-project (which should reflect incremental flow alterations
attributable to the proposed project). In cases where the effects of existing diversions and human
activities are minimal, pre-project conditions can be considered to be the same as natural flow
conditions. Development of hydrographs for these three conditions will facilitate examination of
incremental and cumulative impacts.
Step 1d. Characterize Flow Alteration
Computer software, like the Nature Conservancy’s Indicators of Hydrologic Alteration (IHA)
(Richter et al 1996) should be used to quantify the range of variability for natural flow, pre-
project and post-project conditions, and the degree of change between conditions (Richter et al.,
1997). IHA generates a statistical characterization of temporal variability for 33 biologically
relevant hydrologic parameters and provides a straightforward way of comparing those
parameters for natural, pre-and post-project stream flow regimes. These parameters capture
changes in five fundamental characteristics of the natural flow regime; magnitude, timing,
frequency of occurrence, duration, and rate of change.
One option that may be suitable on some stream segments for evaluating changes in IHA
parameters between natural, pre- and post-project conditions is the Range of Variability
Approach (RVA) (Richter et al., 1997). The RVA utilizes IHA output to set initial post-project
flow management targets as +/- one standard deviation from mean pre-project values, or between
the 25th and 75th percentiles of pre-project flow ranges, for ecologically important IHA flow
parameters. The RVA was intended to develop initial flow targets to “jump-start” an adaptive
management plan in instances where little or no ecological information was available to support
flow determinations. Recently, the Nature Conservancy utilized the RVA approach to set initial
targets for certain aspects of environmental flows (within 25th and 75th percentiles of pre-project
values) as part of a collaborative evaluation of a proposed water development project in
Colorado (The Nature Conservancy of Colorado, 2008). It should be noted that the RVA should
be considered only as an evaluation ‘starting point’ for determining flow needs for healthy
streams, and that it may not be an appropriate ‘starting point’ for all stream segments.
The IHA software can also be used to calculate 34 additional flow parameters that describe five
environmental flow components3 (EFCs). These EFCs were added to “complement the original
33 IHA parameters and characterize the hydrograph in a manner representative of key flow-
ecology relationships” (Mathews and Richter, 2007):
1. Low (base) flows: determine the amount and characteristics of habitat that is available for
most of the year.
3 Low flow and extremely low flow EFCs may be the most important parameters to consider on unregulated streams
where the greatest threat to environmental health are simple water diversions that are not likely to significantly
affect high flow EFCs. On streams regulated by dams, high flow EFCs may also be important considerations.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
2. Extreme low flows: droughts that may alter water chemistry, concentrate prey species,
dry out floodplains, elevate water temperatures, diminish dissolved oxygen, and restrict
movement.
3. High flow pulses: rain and snowmelt provide respite from stressful low flows, lowering
elevated water temperature, increasing oxygen supplies, flush wastes, and improve
upstream and downstream access.
4. Small floods: overbank flows every 2-10 years allowing access to floodplains and
backwater/slough habitats with significant food resources providing fast growth, velocity
refuge, spawning and rearing habitat and recharge shallow aquifers.
5. Large floods: occur rarely, but are critical to healthy aquatic habitat. Move sediment and
woody debris, form new habitats and refresh water quality conditions in main channel
and floodplains. May also be detrimental (scour spawning beds, flush organisms
downstream, remove vegetation) but are necessary from time-to-time.
Olden and Poff (2003) performed a comprehensive review of 171 indices of hydrologic
alteration. They acknowledged that many of the 171 parameters they evaluated are difficult to
calculate and they found merit in automating these calculations using the IHA software. Lastly,
they concluded that “one can select a subset of optimal indices based on ... the region and the
particular ecological question being asked.” For snowmelt streams like those found in the
Roaring Fork River basin, Olden and Poff found the following IHA indices to be most important
in explaining changes between pre-and post-project hydrologic impacts:
1. Coefficient of variation for the month of March,
2. Mean monthly flows for September, October, November, December,
3. Annual minimum flow of 90-day duration,
4. Average duration of low flood (<25th % percentile) pulse count, and
5. Average rate of rise and fall.
Sanderson et al. (2011) developed a Watershed Flow Evaluation Tool (WFET) specific to
Roaring Fork River basin streams and found the following IHA flow metrics most useful in their
IHA analysis:
1. Mean annual flow,
2. Mean August flow,
3. Mean September flow
4. Mean January flow,
5. Mean annual peak daily flow.
The subset of flow metrics identified by Olden and Poff (2003) and Sanderson (2011) should be
given primary consideration for snowmelt streams like those found in the Roaring Fork River
basin. However, since the IHA software calculates all 33 IHA parameters and 34 EFC
parameters automatically, we suggest that all parameters be given consideration as different
types of water development projects will alter the natural flow regime differently.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Mathews and Richter (2007) encourage the use of IHA as an interactive tool to explore flow-
ecology relationships. They suggest that IHA can be used to quickly characterize natural flow
conditions and habitats to which native species have adapted. The output from this initial IHA
analysis establishes a hydrologic baseline that can be used to develop hypotheses about flow-
ecology relationships and the likely effects of altered flow conditions upon those relationships,
which is an important next step in the modified ESWM/ELOHA adaptive management process.
Step 2: Flow-Ecology Relationships
As mentioned previously, scientists believe that sufficient evidence exists to infer that flow
alteration is associated with ecological change and that the risk of ecological change increases
with increasing magnitude of flow alteration (Poff and Zimmerman 2010). Therefore, the
second step in our recommended framework is to develop flow-ecology relationships specific to
Pitkin County streams and stream segments that would be the affected by proposed trans-basin
diversions.
Step 2a. Develop Flow-Ecology Hypotheses
The first sub-step would be to develop hypotheses for relationships between stream flows and the
aquatic and riparian ecosystems of potentially affected streams/stream segments. While
responses to potential changes in all major statistical aspects of the natural flow regime should be
addressed, the flow parameters of particular relevance to Pitkin County streams (as defined in
Step 1d) should be the primary area of focus.
Bunn and Arthington (2002) suggest four principles that describe how aquatic biodiversity can
be influenced by flow regimes:
• Principle 1: Flow is a major determinant of physical habitat in streams, which in turn is a
major determinant of biotic composition.
• Principle 2: Aquatic species have evolved life history strategies primarily in direct
response to the nature flow regimes
• Principle 3: Maintenance of natural patterns of longitudinal and lateral connectivity in
streams is essential to the viability of populations of many riverine species, and
• Principle 4: The invasion and success of exotic and introduced species in rivers is
facilitated by the alteration of flow regimes.
Figure 3 (on the following page) illustrates the ecological connections between aquatic
biodiversity and the natural flow regime as proposed by Bunn and Arthington (2002).
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Figure 3. Aquatic biodiversity and natural flow regimes from Bunn and Arthington (2002)
With these general ecological principles in mind and the natural flow IHA analysis in hand, an
interdisciplinary team of biologic and hydrologic experts would develop a set of hypotheses
regarding how the aquatic and riparian ecology of the stream is likely to respond to the potential
changes of various aspects of the flow regime. In developing hypotheses, experts would rely
upon previous experience, literature values, and findings from previous field studies conducted
in Pitkin County.
Step 2b. Collect Ecological Data
The expert team would also specify any additional field data collection/studies needed to test the
flow-ecology hypotheses formulated in Step 2a and the predicted flow-ecology responses
developed in Step 2c. Such data collection efforts and field studies should be initiated well in
advance of any formal consideration of a proposed project, and should be site-specific and of
sufficient duration to generate meaningful results that cover a representative range of hydrologic
and habitat conditions.
Step 2c. Predict Ecological Responses to Proposed Flow Alterations
The results of the IHA flow alteration analysis should be used to highlight the component(s) of
the natural flow regime that would be altered by an existing or proposed water diversion project.
Combining the IHA analysis from Step 1d and the general aquatic ecological principles
discussed previously in Step 2a, the interdisciplinary expert team would generate initial
predictions of how the specific flow regime that would result from a proposed project may affect
stream health and they would identify areas of potential incompatibility.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
As we discussed previously, relationships between altered flows and ecological response are
difficult to quantify and generalize in part because of the confounding effect of other
environmental variables and naturally-occurring, inter- and intra-annual variability in flow. In
addition, just as each stream is unique, each water diversion project and its associated flow
alteration scheme are also unique. There is clearly a need for additional research in this area but
until the relationships between flow alteration and ecological response can be more clearly
defined, an iterative adaptive management approach will likely be required to fine-tune the
relationship between flow alteration and ecological response on a stream-by-stream basis.
Step 3. Social Process to Define Values, Needs and Standards
At this point in our recommended framework, proposed flow alterations would be known and
anticipated ecological responses to flow alterations would be hypothesized. The next step would
be a scientifically supported collaborative dialogue that would define social values and water
needs, define acceptable ecological conditions for Pitkin County stream health, and set
environmental flow standards for a proposed project. This dialogue would also provide a starting
point for the precautionary adaptive management process that constitutes Step 4 of our
recommended framework.
Step 3a. Define Social Values, Water Needs and Acceptable Ecological Conditions
Richter et al (2005) state that societal values for rivers are optimized when water is developed for
human needs while maintaining adequate flows to sustain healthy ecosystems. Richter also
found that water managers, scientists and water users can find mutually compatible solutions
when they can to focus on a well-defined set of conflicts.
This social process provides an important opportunity to integrate scientific understanding of
ecological flow relationships with human needs for water development. Within this process,
local communities and project proponents are challenged to find a balance between water
development goals and environmental health knowing that there is an inherent risk of
environmental degradation. Setting the level of environmental risk is a task that needs to be
determined by local governments and stakeholder groups based on local priorities for
development and sustainability (Poff et al 2010).
This social process will require the local community and project proponents to balance the
tradeoffs between resource exploitation and resource conservation. The social process may be
the most difficult and contentious part of the ESWM/ELOHA process as competing interests and
values have the potential to collide.
Articulation of social values should address the relative importance of meeting ecological and
human needs, recognizing that human water needs range from essential and non-substitutable
(i.e. drinking water) to essential but substitutable (i.e. crops for human consumption) to non-
essential (i.e. water for lawns, car washes, new growth).
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Water needs for the proposed project should be specifically described in a manner that addresses
the following aspects, which are critical to minimizing the impacts of diversions upon stream
health:
¾ the degree to which project water is needed to serve existing uses versus new growth,
¾ an adequate commitment to water use efficiency
¾ an appropriate level of demand-side reduction in response to significant droughts,
¾ full utilization of all other reasonably available supply-side alternatives,
¾ the project’s ability to meet both out-of-basin and in-basin water needs.
Acceptable ecological conditions should be defined in a manner that would protect the existing
health of the potentially affected streams, including maintenance of stream flows above
“minimum flow” requirements, while recognizing the resiliency of aquatic ecosystems and their
adaption to flow variability, including occasional low flows. The goal should be to maintain
aquatic and riparian ecosystems that are sustainable and resilient and that maintain their
ecological structure and function over time.
Step 3b. Set Environmental Flow Standards
Development of the initial set of acceptable flow recommendations will be informed by the
results of the scientific process (Step 2c) and the social process (Step 3a). The results of the
scientific process are a quantification of project-specific alterations to the existing flow regime
and science-based hypotheses about the expected environmental response to the altered flow
regime. The social process has balanced the level of acceptable ecological risk that may be
associated with a particular water development project on a particular stream.
The social process of establishing acceptable flow standards is likely to consist of facilitated
workshops or town meetings where representatives from local stakeholder groups, water
development interests, the scientific community and local governments are allowed to express
their opinions and views. To avoid polarization and conflict, participants should be reminded
that the ultimate goal of the social process is to develop an initial set of stream/project-specific
flow recommendations that can be used as a first step in conducting water management
experiments and in the development of a monitoring and adaptive management plan.
This initial set of stream/project-specific flow recommendations should address environmental
flow needs, focusing on protecting the key aspects of natural flow variability, over the entire
annual hydrograph and should not be limited to any minimum flow requirements that may have
been previously determined as part of an earlier phase of project development or CWCB
instream flow right appropriations. Flow recommendations should be formulated not only from
an annual perspective, but from a multi-year perspective as well. They could include certain
aspects of flow requirements that may not be required in every year, but that should occur with a
statistical occurrence frequency (for example, a flood flow of X cfs attained for a sustained
period of at least Y days at least once every Z years).
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In instances where environmental variables are clearly associated with threshold levels of water
abstraction, determining an initial flow recommendation may be relatively clear. In contrast,
when the relationship between flow alteration and environmental response is linear, with no clear
threshold value, setting initial flow recommendations may require a stakeholder consensus
process.
The degree of risk that is acceptable to the local community should reflect a balance between
perceived ecological values and the level of scientific uncertainty in the relationship between
environmental response and flow alteration (Poff et al 2010). Projects that are located on
streams with high ecological or social values should be required to start up slowly and increase
diversions in small increments over longer periods of time if, and only if, environmental
parameters are found to remain stable (see Appendix A – Castle Creek Case Study). Initial flow
recommendations on streams with lower ecological or social value may allow for more liberal
project start-up conditions and shorter time periods to achieve full project development.
Based on the scientific and social outcomes of Step 3b of our recommended framework, initial
flow targets are implemented and the experimental, monitoring and adaptive management
process begins4.
Step 4. Implement, Monitor and Adaptive Management
The next step in our recommended framework involves designing and conducting an
experimental, adaptive water management plan that implements the initial flow standards,
monitors the results of these flow experiments and adapts the management plan iteratively to
achieve the desired balance between human water needs and environmental health. The
monitoring/adaptive management plan should be objective and strictly science-based. It should
also include “control” site(s) to monitor natural variability in aquatic health that may be
associated with issues unrelated to the altered flow regime such as climate change, drought, etc.
This plan should be designed to determine whether the preliminary hypotheses regarding the
relationship between altered flows and environmental response are correct and whether project
diversions should be allowed to increase, or required to decrease, over time.
Poff et al (2010) conclude that “Scientists must maintain an active role in the adaptive
management of flows” and that “Effective adaptive management means designing, implementing
and interpreting research to refine flow alteration-ecological response relationships, and ensure
that this new knowledge translates into updated, implemented flow standards.”
An interdisciplinary science team should form the core of the monitoring and adaptive
management plan committee. In addition, water managers should participate to ensure that
recommendations from the core team can be implemented.
4 It should also be noted that there may be instances when the aquatic impacts from a project are determined to be so
small and inconsequential that the project is allowed to move forward without the need for a monitoring and
adaptive management plan. Conversely, there may also be instances when the aquatic impacts of a project are
determined to be so large that no level of adaptive management is acceptable and the project should be opposed.
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Development of an adaptive management plan that allows interpretation of flow alteration-
ecological response relationships is challenging. Ecological responses are often related to
multiple hydrologic variables and there may be other environmental factors besides flow
alteration that affect aquatic health. As such, Poff et al (2010) suggest that it is desirable to
consider ecological responses in terms of independent flow variables that can be directly
manipulated by water managers. The primary goals of the adaptive management team will be to
formulate a plan that asks the right questions and design a study that answers those questions
objectively.
Enforceable operating agreements, monitoring plans, funding mechanisms and defined roles
should all be in place before project construction or operation begins and before the adaptive
management plan is initiated.
Summary of Castle Creek Hydropower Plant Case Study
We utilized our recommended framework to evaluate the impacts of the proposed Castle Creek
Hydropower facility on Maroon Creek. Diversions from Maroon Creek were assumed to be
similar to a transbasin diversion from Maroon Creek since all diversions were 100%
consumptive to Maroon Creek. Appendix A contains a full description of our recommended
framework application. A brief summary of our findings is as follows.
We ran the IHA software to evaluate the altered flow regime at two different locations (nodes)
on Maroon Creek. The first location was immediately below the historic return flow point of the
Maroon Creek hydropower facility on Maroon Creek. This point allowed us to evaluate the
potential impacts of the new, proposed diversions to the Castle Creek hydropower facility. The
second node was located immediately below the Maroon Creek diversion structure which
allowed us to evaluate the historic impacts of the Maroon Creek hydropower facility on Maroon
Creek.
The results of our IHA analysis indicated that peak flows were not impacted dramatically at
either node. However, the natural base flow regimes as well as the lower ends of the ascending
and descending limbs of the natural hydrograph were significantly reduced at both locations.
These results led us to question whether the post-project flows during the season between
September and April would compromise aquatic habitat for fish and aquatic invertebrates.
In response, we proposed an Aquatic Resources Mitigation Proposal (see Appendix A). This
proposal suggested that Aspen adopt a “precautionary and incremental approach to operating its
hydroelectric project to ensure that the aquatic and riparian environments of these creeks are
protected”. This document also formed the basis for an iterative monitoring and adaptive
management plan.
Our Mitigation Proposal was presented at a meditation session in Aspen for public input. While
there was no formal agreement reached at that meeting, the proposal was well received. Since
that time, the Castle Creek Hydropower project has encountered some additional legal hurdles
but we believe the Mitigation Proposal will be reconsidered at some time in the future. The
combination of a precautionary, incremental startup and iterative monitoring and adaptive
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management plan should help insure that the project is implemented in a way that preserves the
aquatic health of Maroon Creek.
Summary
We believe that our recommended framework will become a valuable tool for Pitkin County as it
works towards its Roaring Fork Watershed Plan goal of ensuring long-term, sustainable
development and protection of local water resources (Driscoll 2010). As the need arises for the
County to evaluate the potential impacts of water diversion projects, our recommended
framework can be used to evaluate and balance the relative benefits of diverting water from a
stream for human uses against the benefits that accrue from leaving the water instream to
preserve aquatic health. The iterative process of monitoring and adaptively managing stream
diversions provides an opportunity to maximize the benefits to human uses while ensuring that
aquatic health is maintained at a level that is acceptable to the local community.
Critics of the adaptive management approach argue that it is often difficult, or impossible, to
reverse a project once it becomes operational. They also express concern that project proponents
may be unwilling to curtail diversions under an adaptive management plan unless aquatic
impacts can be clearly linked to the operation of their project. We suggest that these issues can,
and should, be addressed during the development of the monitoring and adaptive management
plan through permitting conditions or other legal mechanisms to ensure that all parties will
perform in accordance with the plan.
The monitoring and adaptive management approach is sometimes referred to as “learning by
doing”. Critics of the approach ask “why can’t we learn from what’s already done”? This is a
valid concern which circles back to the complexity and scientific uncertainty associated with
quantifying the relationships between altered flows and ecological response.
As discussed by Poff (2010), there is a critical need for localized studies to advance the current
state of the scientific hydro-ecological knowledge. One of the primary surface water goals stated
in the Roaring Fork Watershed Plan (Clarke et al. 2011) is “identifying environmental flow
needs, including an assessment of historical flow alterations and their ecological consequences”.
Sanderson et al (2011) also suggest that the Watershed Flow Evaluation Tool (WFET) that they
developed within the Roaring Fork River basin should “create a foundation for and encourage
research explicitly focused on flow-ecology relationships”. In light of these recommendations,
Pitkin County may want to consider opportunities to investigate these flow-ecology relationships
at the local level.
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References
Arthington A.H., Bunn S.E., Poff N.L., & Naiman R.J. 2006. The challenge of providing
environmental flow rules to sustain river ecosystems. Ecological Applications 16(4) 1311-1318.
Bunn S.E. & Arthington A.H. 2002. Basic principles and ecological consequences of altered
flow regimes for aquatic biodiversity. Environmental Management 30(4):492-507.
Clarke, S., Fuller, M. & Sullivan, R.A. 2011. Roaring Fork Watershed Plan – March 2011 Draft.
Ruedi Water and Power Authority (Sponsor) and Roaring Fork Conservancy (Lead Consultant).
Driscoll, G.M. 2010. Roaring Fork Watershed Plan: Phase II Guidance Document. Ruedi Water
and Power Authority (Sponsor) and Roaring Fork Conservancy (Lead Consultant).
Driscoll G.M. 2011. Front Range Water Supply Planning Update. Increased Storage, Increased
Demands, Increased Transmountain Diversions. Ruedi Water and Power Authority.
Espegren, G.D. 1996. Development of Instream Flow Recommendations in Colorado using
R2Cross. Colorado Water Conservation Board, Water Rights Investigations Section, Denver,
Colorado.
Instream Flow Council. (2002). Instream Flows for Riverine Resource Stewardship. Instream
Flow Council. USA. ISBN 0-9716743-0-2.
Mathews R. & Richter B. (2007) Application of the Indicators of Hydrologic Alteration software
in environmental flow-setting. Journal of the American Water Resources Association.
43(6):1400-1413..
Meyer J.L. 1997. Stream health: incorporating the human dimension to advance stream ecology.
Journal of North American Benthological Society. 16(2):439-447.
Olden, J.D. & Poff, N.L. 2003. Redundancy and the choice of hydrologic indices for
characterizing stream flow regimes. River Research and Applications 19: 101-121.
Poff, N.L. and 7 co-authors. 1997. The Natural Flow Regime: A Paradigm for River
Conservation and Restoration. Bioscience 47(11): 769-784.
Poff N.L., Richter B.D., Arthington A.H. et al. (2010). The ecological limits of hydrologic
alteration (ELOHA): a new framework for developing regional environmental flow standards.
Freshwater Biology, 55, 147-170.
Poff N.L. & Zimmerman J.K.H. (2010). Ecological responses to altered flow regimes: a
literature review to inform the science and management of environmental flows. Freshwater
Biology, 55, 194-205.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Richter, B.D., Baumgartner J.V., Powell, J., and Braun D.P. 1996. A method for assessing
hydrologic alteration within ecosystems. Conservation Biology. 10(4): 1163-1174.
Richter, B.D., Baumgartner J.V., Wigington R., and Braun D.P. 1997. How much water does a
river need? Freshwater Biology 37:231-249.
Richter, B.D., Roos-Collins R., and Fahlund A.C. 2005. A framework for ecologically
sustainable water management. Hydro Review August 2005.
Sanborn, S.C. & Bledsoe B.P. 2006. Predicting stream flow regime metrics for ungauged streams
in Colorado, Washington, and Oregon. Journal of Hydrology 325: 241-261.
The Nature Conservancy of Colorado, 2008. Environmental Flows for the North Fork of the
Cache la Poudre River (Draft).
Sanderson, J.S., Rowan N, Wilding T, Bledsoe B.P., Miller W.J. & Poff N.L. 2011. Getting to
scale with environmental flow assessment: the Watershed Flow Evaluation Tool. River Research
and Applications. 2011.
Walker, K.F., Sheldon F. & Puckridge J.T. (1995). A perspective on dryland river ecosystems.
Regulated Rivers: Research and Management, 11, 85-104.
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A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Appendix A: Evaluation of Aspen’s Proposed Castle Creek Hydro Project
ELOHA/ESWM Framework Implementation
Introduction
As an example, we applied our recommended framework to Aspen’s proposed Castle Creek
Hydroelectric Plant Project. Since there were already ongoing negotiations between local
stakeholders during the framework’s development, the steps outlined in this paper were not
followed in the exact order described above. However, all elements were considered and the
iterative nature of the recommended framework has been proposed for the Project as would be
applied to a new diversion.
The Project would include installation of a new hydropower turbine on the spill outlet pipe from
Thomas Reservoir. This pipe was recently enlarged and redesigned to function as a hydropower
penstock. The new turbine would receive water diverted from Castle Creek and Maroon Creek
via Aspen’s existing diversion facilities and return it to Castle Creek. Aspen currently has a
municipal diversion on Castle Creek and a combined municipal/hydropower diversion on
Maroon Creek. Aspen’s existing Maroon Creek Hydroelectric Plant currently diverts up to 60
cfs from Maroon Creek upstream of Willow Creek, leaving a minimum of 14cfs in Maroon
Creek. Following hydropower generation at the Maroon Creek Plant, water is returned to
Maroon Creek. Under Aspen’s proposed Project, the first 10 cfs of water available for diversion
from Maroon Creek would continue to be delivered to the existing Maroon Creek Hydro plant,
but additional available water, up to 27 cfs, would be diverted to Thomas Lake. The trans-basin
aspect of Aspen’s proposed Project is the diversion of water out of the Maroon Creek basin with
return to Castle Creek.
The primary focus of this analysis was the effect of two alternate proposed bypass requirements
on Aspen’s proposed Maroon Creek diversions.
Step 1: Hydrologic Foundation
a. Collect Flow Data/Modeling
For successful implementation of any quantitative approach to stream health monitoring, it is
necessary for streamflow data representative of the proposed project location to be collected,
preferably over a long time period. Aspen’s proposed Project was a good choice for a stream
alteration test case since 25 years of flow records exist for USGS gauges on both Castle and
Maroon Creeks at relatively small distances upstream of the Project’s points of diversion.
As part of the planning process for Aspen’s proposed Project, Aspen’s hydrology consultant
(Grand River Consulting) created a hydrology model to simulate the diversions, flows and power
generation potential for the existing Maroon Creek hydroelectric plant and for Aspen’s proposed
Project. In addition, the model was set up to provide modeled flows for each of the creeks
affected by the proposed Project.
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We conducted a statistical streamflow analysis at a point where the transbasin diversion of water
from Maroon Creek to Castle Creek caused reduced instream flows in Maroon Creek. We chose
the location on Maroon Creek immediately below the existing Maroon Creek hydroelectric plant
outlet (called Maroon Outlet Node in this analysis).
b. and c. Creation of Baseline and Developed Hydrographs
In this analysis we compared the pre-impact and post-impact instream flows for Maroon Creek.
The pre-impact hydrograph refers to the calculated natural flows in Maroon Creek, assuming
there are no significant agricultural, municipal or hydroplant diversions.
Baseline Hydrographs
We created baseline hydrographs using the Grand River hydrology model, which representing
natural stream flows at each diversion point and return flow point by applying appropriate factors
to the historic USGS gauge data to account for the additional watershed areas between the gauge
locations and the analyzed nodes.
Developed Hydrographs
We ultimately considered two post-impact operations scenarios in this analysis. We first
considered Aspen’s proposed Project operation: a minimum of 14cfs would be left in Maroon
Creek, based on an R2CROSS assessment (the 14 cfs scenario).
During our initial review of the Project for the Pitkin County and during our supporting role for
the 1-day mediation effort that followed, we developed a more precautionary scenario for the
Project’s operation (as discussed in more detail in a following section). We proposed that
additional and more protective bypass requirements be imposed upon the Project during its initial
years of operation and that these bypass requirements be gradually relaxed only to the degree
that ongoing monitoring of stream health showed no adverse impacts. Our proposal was refined
and amended several times prior to and during the mediation and ultimately contained an
additional bypass requirement that daily Project diversions be limited during the period of
August 1st through May 15th of each year so as not to cause the resulting stream flow to drop
below the greater of the 14 cfs low flow requirement and the historical 25th percentile weekly
flow (the “25th percentile” scenario). We used the Grand River hydrology model to generate
developed hydrographs for each scenario.
d. Characterize Flow Alteration using Indicators of Hydrologic Alteration
We used the Grand River hydrology model to generate time series output for pre-project flows
and for post-project flows for the two alternative scenarios. We input these time series data into
The Nature Conservancy’s Indicators of Hydrologic Alteration (IHA) software in order to
calculate all 33 IHA parameters as well as the Environmental Flow Components (EFC) for each
scenario.
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Step 2: FlowEcology Relationships
a. FlowEcology Hypotheses
In the case of Aspen’s proposed Project, only limited ecological data was available at the time of
our analysis and there was no time for additional data collection prior to the mediation. We
developed general hypotheses regarding flow-ecology relationships based upon our experience
and expertise with Rocky Mountain streams in similar settings in Colorado. Our initial
hypothesis was that stream health on Maroon Creek would be maintained by generally
preserving the variable natural flow regime of the Creek.
b. Collect Ecological Data
No additional ecological data was collected prior to setting the initial Range of Variability
Approach (RVA) bounds. As part of its proposed Project, Aspen was in the process of
developing a draft monitoring plan with the Colorado Division of Wildlife that would provide for
additional pre-project and post-project ecological monitoring including data collection for water
temperature, stream habitat, macroinvertebrates and hydrology.
c. Anticipated Ecological Responses to Flow Alteration
We evaluated the Project’s proposed flow alterations under the initial assumption that, in order to
avoid significant impacts to stream health, the allowable range of variability (RV) of the median
(50th percentile) values for each IHA and EFC parameter should be bounded by the pre-project
25th and 75th percentiles. If the post-project median value for any given IHA or EFC fell
significantly outside of this range, that cell was highlighted in the summary table at the end of
this Appendix5.
Our review of the Aspen’s proposed Project operation indicated that diversions would reduce
Maroon Creek flows during the ascending and descending limbs and the base flow portions of
the hydrograph to a ‘flat-lined’ minimum flow for several months each year.
We developed a proposal that the Project’s operations be “slow-started” in a conservative
fashion so that flow-ecology relationships can be established during initial operations rather than
causing harm to the stream’s ecology and then attempting to repair any damage. Our proposal
required the project to operate for an initial period with a bypass requirement that would keep
post-project flows above the 25th percentile weekly values during the period of August 1st
through May 15th of each year. To the degree that ecological monitoring indicated no adverse
effects to stream health after several years of Project operation under this precautionary bypass
requirement, these bypass requirements could be gradually relaxed.
The tables at the end of this appendix summarize the resulting change in median flow and the
frequency that post-project median flow values fell outside of the RV. It is clear that the 14 cfs
scenario had a more significant impact on the stream since more parameters from the 14 cfs
scenario fell outside of the RV than the 25th percentile scenario.
5 Because Maroon Creek natural flows sometimes fall below the 25th percentile threshold, even the 25th percentile
scenario produced post-project flows slightly below the 25th percentile pre-project flow.
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We note that the the 25th and 75th percentile boundaries for RV do not necessarily reflect valid
flow-ecology relationships. To jump-start the stream health assessment process for this analysis,
we bounded the RV to the 25th and 75th percentiles for each parameter. Depending on the
parameter studied this range may be appropriate, overly restrictive or not restrictive enough; until
further ecological studies are conducted, the appropriateness of these percentiles is not known.
The purpose of these initial boundaries is to provide a starting point that can be used as a control
point for modifying future operations. As more flow and ecology data are collected, the 25th -
75th percentile RV bounds can be modified for each parameter to determine at what level of
modification their effect on local ecology becomes significant.
Step 3: Social/Scientific Process
ac. Social Values and Water Needs, Acceptable Ecological Conditions
and Environmental Flow Standards
In the case of Aspen’s proposed Project, social values and water needs, acceptable ecological
conditions and flow standards were assessed indirectly and not in the exact order specified in our
recommended framework.
Aspen’s initial proposal called for the use of the R2CROSS-derived values as the minimum
instream flows for Castle and Maroon Creeks. As part of our critical review of the Project for
Pitkin County, we proposed that post-project flows on Maroon and Castle Creeks should mimic
the variable natural flow regime, particularly during the ascending and descending limbs and
base flow portions of the hydrograph, rather than be ‘flat-lined’ at a minimum instream flow rate
for several months each year. We also recommended that the range of variability (RV) of the
Indicators of Hydrologic Variability (IHA) and associated Environmental Flow Components
(EFCs) developed by Richter should be used as the method to assess the operating standards of
the Project.
We discussed our proposal with Aspen’s hydrology consultants (who in turn discussed our
proposal with Aspen). We collaboratively made several minor changes to our proposal,
incorporated suggested changes, developed a letter and proposal for discussion at a one-day
mediation that included participation by City of Aspen utilities staff, hydrology and fisheries
consultants to the City of Aspen and Pitkin County, local landowners, a representative from
Pitkin County, a representative for the Roaring Fork Conservancy. This mediation to some
degree served as a multi-stakeholder discussion of the local social and water needs. In other
cases it would be more appropriate to include citizens and other stakeholders in this discussion
through a more transparent and organized set of negotiation proceedings.
During the mediation, our proposal was discussed extensively. Following the mediation, minor
modifications were made to our proposed “environmental flow hydrograph.” The changes
proposed were designed to give a set of stepwise requirements to modify the instream flow
requirements to divert more or less water based on the stream health as a result of the initial set
of diversion rules.
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Step 4: Precautionary Adaptive Management
a. Standards Implementation Mechanisms
The mediation process resulted in a method to both determine acceptable initial ecological
standards for the affected creeks and triggers to implement changes in the Castle Creek
Hydroplant’s operation.
The mediation plan states that if a statistically significant decrease is detected in any one or more
of fish populations, macroinvertebrate populations or aquatic/riparian habitat, the CDOW and
Aspen will review the data to determine the cause and, if the cause is determined to be due to
Maroon/Castle Creek hydroelectric operations, Aspen will change plant operations to address the
decrease in the criteria.
b. Monitor Hydrology and Ecology
A biological monitoring plan was proposed for the Castle Creek Hydroplant to provide
continuous feedback for decision making. Elements of the monitoring plan included sampling
locations on both Maroon and Castle Creeks, monitoring of stream habitat and water
temperature, macroinvertebrate sampling, and gauge installation for hydrologic monitoring.
The mediation group agreed that biological monitoring be conducted by a 3-member team of
fisheries/stream health experts, consisting of representatives from Aspen, the Colorado Division
of Wildlife, and Pitkin County’s Healthy Rivers and Streams Board, who would make the
periodic determinations regarding the Project’s effects on stream health.
An annual report regarding the monitoring data and the determinations by the 3-member team of
experts would be made publicly available.
c. Precautionary Project Operation
Diversions by the Castle Creek Hydroplant would be gradually increased in a stepwise fashion
over 3-year monitoring periods only to the degree that monitoring indicated no adverse effects to
stream health after several years of Project operation under precautionary bypass requirements.
If monitoring showed adverse effects, Project diversion would be decreased.
A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
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0
50
100
150
200
250
300
350
400
450
500
In
s
t
r
e
a
m
Fl
o
w
(c
f
s
)
Maroon Outlet Node: Average Annual Hydrograph (25 Years of Data)
Natural Flows
Impacted Flows Due to Hydroelectric Plant Operations (14cfs min flow)
Impacted Flows Due to Hydroelectric Plant Operations (25%ile left in stream)
Figure A1 – Maroon Outlet Node Hydrograph
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Post-project 50th percentile cells are highlighted if they fall outside of the range of variability (defined by the 25th and 75th
percentile pre-project values). Highlighting gradation becomes more red as values fall are farther outside of the range of
variability.
Node Maroon Outlet Node
Natural Flows Aspen Proposal (14cfs
min ISF)
20/25%ile Mediation
Proposal
Percentile
Pre-Project
25% (Lower
RVA Bound)
Pre-
Project
50%
Pre-Project
75% (Upper
RVA Bound)
Post-
Project
50%
% change
in 50 %ile
value
Post-
Project
50%
% change
in 50 %ile
value
Parameter Group #1
October Median Flow 45.3 49.0 62.7 28.6 -42% 47.4 -3%
November Median Flow 38.6 43.8 54.7 31.5 -28% 43.8 0%
December Median Flow 31.8 36.3 41.6 29.7 -18% 35.5 -2%
January Median Flow 29.3 32.3 39.8 30.3 -6% 32.3 0%
February Median Flow 27.4 29.3 36.1 29.3 0% 29.3 0%
March Median Flow 24.8 27.8 32.3 27.8 0% 27.8 0%
April Median Flow 26.3 30.8 35.3 30.0 -3% 29.8 -3%
May Median Flow 53.3 65.7 103.7 41.2 -37% 52.9 -20%
June Median Flow 282.9 318.6 471.9 294.1 -8% 294.1 -8%
July Median Flow 134.7 201.7 348.5 177.2 -12% 177.2 -12%
August Median Flow 57.5 79.4 125.8 54.9 -31% 57.4 -28%
September Median Flow 35.6 47.5 63.2 23.0 -52% 38.6 -19%
Parameter Group #2
1-day minimum 19.9 24.8 26.8 18.8 -24% 24.8 0%
3-day minimum 21.3 24.8 27.8 19.7 -21% 24.8 0%
7-day minimum 23.3 25.9 28.8 20.1 -22% 25.9 0%
30-day minimum 24.4 26.5 31.4 22.3 -16% 26.5 0%
90-day minimum 25.9 28.1 34.0 27.9 -1% 28.1 0%
1-day maximum 471.2 559.1 716.9 534.6 -4% 534.6 -4%
3-day maximum 459.9 539.5 679.6 515.0 -5% 515.1 -5%
7-day maximum 418.0 494.7 625.0 470.2 -5% 470.2 -5%
30-day maximum 313.2 387.0 496.9 362.5 -6% 362.5 -6%
90-day maximum 198.1 235.1 299.1 210.6 -10% 211.7 -10%
Number of zero days 0.0 0.0 0.0 0.0 0.0
Base flow index 0.3 0.3 0.3 0.3 -5% 0.3 11%
Parameter Group #3
Date of minimum 5-Jan 28-Feb 30-Mar 11-Sep 331% 22-Feb -10%
Date of maximum 14-Jun 22-Jun 27-Jun 22-Jun 0% 22-Jun 0%
Parameter Group #4
Low pulse count 1.0 4.0 6.0 4.0 0% 3.0 -25%
Low pulse duration 2.9 5.5 20.6 37.0 573% 4.0 -27%
High pulse count 1.0 2.0 2.5 1.0 -50% 1.0 -50%
High pulse duration 10.0 59.0 89.5 69.0 17% 69.0 17%
Parameter Group #5
Rise rate 1.5 1.5 2.7 0.8 -46% 1.5 0%
Fall rate -2.5 -2.5 -1.7 -2.4 -1% -2.3 -7%
Number of reversals 72.0 83.0 101.5 76.0 -8% 93.0 12%
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- 25 -
Post-project 50th percentile cells are highlighted if they fall outside of the range of variability (defined by the 25th and 75th
percentile pre-project values). Highlighting gradation becomes more red as values fall are farther outside of the range of
variability.
Node Maroon Outlet Node
Natural Flows Aspen Proposal (14cfs
min ISF)
20/25%ile Mediation
Proposal
Percentile
Pre-Project
25% (Lower
RVA Bound)
Pre-
Project
50%
Pre-Project
75% (Upper
RVA Bound)
Post-
Project
50%
% change
in 50 %ile
value
Post-
Project
50%
% change
in 50 %ile
value
EFC Monthly Low Flows
October Low Flow 45.3 49.0 62.7 30.8 -37% 47.4 -3%
November Low Flow 38.6 43.8 54.7 31.5 -28% 43.8 0%
December Low Flow 32.2 36.3 42.0 29.7 -18% 35.9 -1%
January Low Flow 30.8 33.8 39.8 30.7 -9% 32.3 -4%
February Low Flow 29.3 29.3 38.3 29.3 0% 29.3 0%
March Low Flow 27.8 29.3 35.3 29.3 0% 28.6 -3%
April Low Flow 29.7 32.3 36.4 30.3 -6% 30.8 -5%
May Low Flow 39.4 51.9 62.4 34.5 -34% 46.9 -10%
June Low Flow 69.1 71.4 73.6 64.2 -10% 64.2 -10%
July Low Flow 52.2 76.6 80.0 73.0 -5% 73.0 -5%
August Low Flow 55.0 63.8 76.4 54.9 -14% 55.3 -13%
September Low Flow 36.1 47.5 58.9 35.0 -26% 38.7 -18%
EFC Flow Parameters
Extreme low peak 23.3 25.5 26.3 24.4 -4% 24.8 -3%
Extreme low duration 1.0 5.5 32.5 11.8 114% 3.0 -45%
Extreme low timing 8-Feb 13-Mar 23-Mar 21-Mar 11% 9-Mar -6%
Extreme low freq. 0.5 2.0 4.0 3.0 50% 2.0 0%
High flow peak 89.8 107.0 458.4 337.8 216% 337.8 216%
High flow duration 2.0 4.5 78.0 48.8 983% 48.8 983%
High flow timing 12-Jun 30-Jun 27-Aug 14-Jun 14-Jun 14-Jun -9%
High flow frequency 0.5 1.0 2.0 1.0 0% 1.0 0%
High flow rise rate 4.5 9.0 12.0 12.5 39% 12.5 39%
High flow fall rate -8.1 -6.1 -4.6 -8.1 32% -8.1 32%
Small Flood peak 601.2 669.9 739.4 692.4 3% 692.4 3%
Small Flood duration 79.0 84.0 119.0 76.0 -10% 76.0 -10%
Small Flood timing 18-Jun 22-Jun 26-Jun 23-Jun 0% 23-Jun 0%
Small Flood freq. 0.0 0.0 1.0 0.0 0.0
Small Flood riserate 13.0 18.4 20.7 20.4 11% 20.4 11%
Small Flood fallrate -11.8 -10.0 -8.5 -11.7 17% -11.7 17%
Large flood peak 772.5 808.6 844.7 820.2 1% 820.2 1%
Large flood duration 94.0 98.5 103.0 96.0 -3% 96.0 -3%
Large flood timing 26-Jun 28-Jun 30-Jun 26-Jun -1% 26-Jun -1%
Large flood freq. 0.0 0.0 0.0 0.0 0.0
Large flood riserate 17.5 21.8 26.1 26.0 20% 26.0 20%
Large flood fallrate -12.5 -11.4 -10.3 -10.9 -4% -10.9 -4%
A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
Example of IHA graphs for certain parameters
This graph is one of the types of output available from the IHA software. In this case, the
data shown is the same as IHA Parameter Group #1 in the table above for the Maroon
Outlet Node. The range bars on the pre-impact line indicate the pre-project range of
variability (Top and bottom bars refer to 75th and 25th percentiles, respectively). From
this graph, the largest impacts are seen from May through September; all flows except
May do fall within of the RVA boundaries.
- 26 -
A Scientific/Social Framework for Managing Impacts of Trans-Basin February 2012
Water Diversions to Protect Stream Health in Pitkin County, Colorado
- 27 -
Another example of the outputs of the IHA software is the 1-day minimum flow from
IHA Parameter Group #2 for the Maroon Outlet Node using Aspen’s 14cfs minimum ISF
proposal. This is the parameter within group 2 with the largest % change in the 50th
percentile value. The reduction in the median and RVA for the 1-day minimum flow is
clear from this graph.