Unraveling Multimodality with Large Language Models.pdf
Exploring environmental flow regimes in the lower sesan in cambodia
1. Exploring environmental
flow regimes in the Lower
Sesan in Cambodia
MK3: Optimizing cascades or systems
of reservoirs in small catchments
Jeremy Carew-Reid, Tarek Ketelsen, Peter-John
Meynell, Timo A. Räsänen and Simon Tilleard
3. Environmental flows
Environmental flows: the provision of water for
freshwater dependent ecosystems to maintain
their integrity, productivity, services and
benefits
Broad
consultation and
negotiation
Multidisciplinary
technical studies to
define
environmental
water demands
Non-environmental
sector water
demands
5. Exploring environmental flow regimes
in the Lower Sesan in Cambodia
• We examined impacts of managing different
flow regimes from a cascade of dams in the
Upper Sesan upon the existing ecology and
ecosystem services of the Lower Sesan
• Explored the use of Flow Health software as a
tool to link hydrological and ecological impacts
• Explored the use of dynamic programming
tool CSUDP to assess hydropower generation
impacts
6. Flow Health software
• Breaks down the complex and variable flow regime into 9 indicators
of flow health that have been shown to be related to
geomorphology and ecological health
• Indicators are general and direct links between the hydrological
indicators and ecological impacts are not defined within the
program
• Monthly flows do not show daily impacts from peaking
7. Dynamic programming tool CSUDP
• CSUDP allows user specified definition of
system state equations and objective
functions, and includes efficient solution
procedures for a variety of problem types
• Used to quantify reduction in hydropower
generation
9. Geomorphological character of the
Sesan River
• Eight distinct geomorphological zones
Zone 4
Zone 5
Planned Sesan 1
• Zone 4: sand banks and
islands. 250-350m wide. Few
minor rapids in upstream
section
• Zone 5: No longer in natural
state. Flow retention by the
dams result in a shallow river
characterized by a succession
of wetlands and rapids, with
some rocky channels
11. Sub-indicator scor
0.8
Flow Health analysis - Modification of
flow regime by existing dams
0.6
0.4
0.2
0
1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
Year
Construction Yali Falls dam
Yali Falls dam fully operational
Sub-indicator scores
Seasonality flow shift (SFS)
1
0.8
0.6
0.4
0.2
0
1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
Year
•Lowest flow is shifting back from April to March
•Highest flow occuring earlier, shifting from September to
August
•Disrupting the behavior of aquatic organisms whose life cycle
has adapted to a particular seasonal flow pattern
12. Flow Health analysis - Modification of
flow regime by existing dams
Sealing of Yali Falls dam
Yali Falls dam fully operational
Sub-indicator scores
Persistently higher (PH)
1
0.8
0.6
0.4
0.2
0
1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
Sub-indicator scores
Year
•Decrease inSeasonality flow shift (SFS)
period of time when flow is notably
higher than expected in the low flow period
•Smoothing out of the low flows by the removal of
natural high flow pulses because of regulation by the
dams
Year
•Change in channel morphology
1
0.8
0.6
0.4
0.2
0
1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
14. Scenarios
• Hydrological and energy modelling to assess impacts
from 11 dam cascade for two scenarios
– Full regulation - In the ‘A. Full regulation’ scenario the
simulation allowed each project to use freely the full
storage capacity of reservoirs in order to maximize energy
production
– No regulation – In the ‘B. No regulation’ scenario the
reservoir levels of all projects were kept constant at full
supply level so that the natural flow regime was passed
through the dam unaltered. In scenario B.
simulations, each hydropower project was allowed to use
only 3 Mm3 of reservoir storage to improve the stability of
the simulation/optimization process.
15. Impacts on energy production
Full
No
regulation[GWh] regulation[GWh]
Upper Kontum
Plei Krong
Yali
Sesan 3
Sesan 3A
Sesan 4
Sesan 1
VIETNAM TOTAL
Prek Liang 2
Prek Liang 1
Lower Sesan 3
Lower Sesan 2
CAMBODIA TOTAL
TOTAL OF 11
Reduction[%]
998
470
3,721
1,184
439
1,425
638
8,875
238
313
1,626
2,196
4,373
820
473
3,202
1,011
374
1,304
512
7,695
166
211
1,323
2,086
3,786
17.9
-0.6
14.0
14.7
14.6
8.5
19.8
13.3
30.2
32.6
18.6
5.0
13.4
13,248
11,481
13.3
17. Flow Health analysis– Fully regulated
Reference period
Test period
Sub-indicator scores
6
5
Flood flow interval (FFI)
4
Seasonality flow shift (SFS)
3
Persistently very low (PVL)
2
Persistently higher (PH)
Low flow (LF)
1
High flow (HF)
0
1
2
3
4
5
6
7
8
9 10 11 12 13 14 15
18. Flow Health analysis– Fully regulated
geomorphic implications
Sub-indicator scores
Flood flow interval (FFI)
1
0.8
0.6
0.4
0.2
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Decreasing occurrence of 23 yr ARI flood
• 2yr ARI flood characterizes
geomorphology of the river
where not rock confined
• Contraction of the river
channel
• Increased sedimentation
• Sediment aggradation
reducing overall capacity of
the river
19. Flow Health analysis– Fully regulated
ecological implications
Sub-indicator scores
Persistently higher (PH)
1
0.8
0.6
0.4
0.2
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Post-dams
Pre-dams
Increasing period when flow is
higher than normal for more
than two months in the low
flow period
•Change of regime for inchannel wetlands used to
dry/wet variation
• Wetland plants dependent on
exposure of roots during dry
season will be less productive
and some may die out
20. Flow Health analysis– No regulation
• Minor difference between the no-regulation
and natural scenarios because the noregulation simulation only allowed max. 3
Mm3 regulation capacity for each reservoir
• No impact on Flow Health Parameters
21. Impacts summary
The No regulation
scenario optimises flow
and ecosystem health
but causes a 13.3%
decrease in overall
energy production
compared to the full
regulation scenario
The Full regulation
scenario optimises the
production of energy
but will have significant
impacts on downstream
channel morphology
and inchannel wetlands
22. Reaching a comprise
The No regulation
scenario optimises flow
and ecosystem health
but causes a 13.3%
decrease in overall
energy production
compared to the full
regulation scenario
The Full regulation
scenario optimises the
production of energy
but will have significant
impacts on downstream
channel morphology
and inchannel wetlands
23. E flows challenges in the Sesan and the
basin
Environmental
flows
Consultation &
negotiation
Environmental
demands
Nonenvironmental
demands
1. Technical
challenges: Linking
hydrological
changes to complex
geomorphological
and ecological
impacts in the Basin
2. Institutional
context: Key to
good consultation
and negotiation
Notas do Editor
Many views so first defineDirty word – could be integrated flow managementConcept not just cover the flows but also the assessment to reach the flow agreementToday focussing on the technical studies but should also remember the need for consultation and negotationMany views on what e-flows are so want to start with a definition:t he provision of water for freshwater dependent ecosystems to maintain their integrity, productivity, services and benefits.But the concept does not just cover the flows themselves it also refers to the technical studies and consultative approach needed to define and implement them. A good environmental flows assessment that will have long term outcomes will engage all the water users and setup the institutional context for an informed trade-offwhich limits negative environmental and social impacts while maximizing the opportunity for further development.Discussing and setting E-flows regimes require the integration of a range of disciplines from across the social, political and natural sciences. Today will be introducing some of the more technical initial work required for e-flows, to provide an idea of the technical start needed but recognizing the need for broad consultation and further work before any decisions could possibly be made.Doesn’t need to be called E-FLOWs, can be a dirty word – can call it integrated flow management
People in the basin depend on environmentalresources so eflows are an important approach in the current context of increasing dams and other water demands. MRC Integrated Basin Flow Management program (2003-2007) – under the Mekong agreement the procedures to agreeing flows specifies minimum flows so focussed on minimum flows. As part of the new proposed council study the MRC will be seeking to apply the DRIFT model for environmental flows – i.e. so it has returned under a new nameTwo excellent examples like to highlight – supported by IUCNHuong River Basin, rapid eflows assessment (2003-2004) – supported by IUCN - outside the basin but a excellent example of holistic but rapid eflows assessmentNam Songkhram River Basin, 2006 – 2007 – supported by IUCN – slightly more complex intermediate eflows approachKey difficulty for all the assessments is linking hydro changes to ecological impacts. E-flows processes have substantial potential in the Mekong Basinto assist river basin managers as they grapple with competing demands, including the need for environmental sustainability.At present, however, the tool has only been used in academic or technical settings
Illustration of technical study needed to development environmental flows
Relies on hydrological analysis to calculate indicators of flow health. The indicators used in the program have been chosen to characterise attributes of the flow regime in terms of the main ecologically relevant flow components –they are necessarily general and direct links between the hydrological indicators and ecological impacts are not defined within the program. Linking of the flow indicators to particular risks to the downstream ecosystems must be interpreted by the user.
Study of the geomorphological character and habitats of the Sesan and their importance for fish identified the eight distinct geomorphological zones of the river For example below the planned Sesan 1:
The first large hydropower project to be built on the Sesan river was built at Yali Falls,begun in 1993 and sealed in 1996, fully operational in 2001. Since then a total of six other large hydropower projects have been constructed in the Upper Sesan in Vietnam. The total installed capacity of hydropower in Vietnam is 1,829 MWNo dams have yet been built on the Sesan in Cambodia, although Lower Sesan 2 has been approved and is waiting for construction. Plans for another 2 the mainstream on the Sesan, namely Sesan 1/5 which is located on the border and would be a joint project between Vietnam and Cambodia, Lower Sesan 3 which has a very large reservoir areas. If all the projects are built, the total installed capacity of hydropower in Cambodia would be 873 MWNote Sesan 1 at the border of Vietnam and Cambodia, at the bottom of the 8 dam cascade
Since construction of the Yali falls dam began there is a clear decrease in the seasonality flow shifts sub-indicator at all sites. Closer analysis of the time series shows that the month of lowest flow is shifting back from April to March and occasionally to February. The highest flow month is also tending to occur earlier, shifting from September to August. The change in seasonality is important because it can disrupt the natural timing of flow pulses and baseflows that stimulate the behavior of aquatic organisms whose life cycle has adapted to a particular seasonal flow pattern (Gippel et al, 2012).At all three sites the persistently higher sub-indicator has shown a marked decrease since the sealing of the Yali falls dam in 1996. This is particularly noticeable for the years 2000-2001 where the indicator dropped to almost zero at all sites. The sub-indicator reflects the period of time when the flow is persistently (i.e. for two or more consecutive months) notably higher than expected in the low flow period (i.e. exceeding the 75th percentile of the reference period). The sharp decrease in the sub-indicator since the sealing of the Yali falls dam indicates a smoothing out of the low flows by the removal of natural high flow pulses that are regulated by the dam.
Since construction of the Yali falls dam began there is a clear decrease in the seasonality flow shifts sub-indicator at all sites. Closer analysis of the time series shows that the month of lowest flow is shifting back from April to March and occasionally to February. The highest flow month is also tending to occur earlier, shifting from September to August. The change in seasonality is important because it can disrupt the natural timing of flow pulses and baseflows that stimulate the behavior of aquatic organisms whose life cycle has adapted to a particular seasonal flow pattern (Gippel et al, 2012).At all three sites the persistently higher sub-indicator has shown a marked decrease since the sealing of the Yali falls dam in 1996. This is particularly noticeable for the years 2000-2001 where the indicator dropped to almost zero at all sites. The sub-indicator reflects the period of time when the flow is persistently (i.e. for two or more consecutive months) notably higher than expected in the low flow period (i.e. exceeding the 75th percentile of the reference period). The sharp decrease in the sub-indicator since the sealing of the Yali falls dam indicates a smoothing out of the low flows by the removal of natural high flow pulses that are regulated by the dam.
Reduction in Vietnam of about 1000GWHReduction in Camodia of about 500GWHTotal 13% reduction in electricity production
Sesan 1 on the VN/Cam borderSimulated downstream discharges of Sesan 1 under scenarios A. Full regulation and B. No regulation Note that no regulation close to matches the natural flowFull regulation – reduced peak, delayed peak and high dry season flowsAverage over the 6 years modelled – put the full time series into the Flow Health software
Used flow health software to assess impact on the hydrological regime. Software provides indicator scores for impacts on hydrology.Put up quickly to show all indicators but focus on key changes
Flood frequency is decreasing due to regulation of water by the dams. The flood flow interval steadily decreases from the start of the test period indicating that major floods may not ever occur if the system is fully regulated. Reduced flood frequency may mean that flows that overtop the banks and inundate floodplain wetlands will occur less often which would severely impact on the floodplain ecosystem health. Contraction of the river channel may occur because not receiving high and scouring flowsIncreased sedimentation particularly at tributary confluencesSediment tends to aggrade raising the level of the river bed, reducing overall capacity of the river and therefore easier occurrence of floodplain flooding
There is a sharp decrease in the persistently higher sub-indicator under fully regulated conditions. This result indicates that there will be an increase in the period of time when the flow is persistently (i.e. for two or more consecutive months) notably higher than the expected range in the low flow period (i.e. exceeding the 75th percentile of flow in the low flow period). The increase in flow volume during the low flow period is likely to be due to the storage of water during the high flow period for release during the low flow periods. Increasing time when flow is higher than normal for more than two months in the low flow period Parts of the channel which are used to being exposed during last 2-3 months of dry season will no longer be exposed In-channel wetlands used to the variation will no longer be exposed Wetland plants typically depend on having their roots exposed during the dry season so will be less productive and some of the vegetation may die out