Nakdong River Restoration Project from the perspective of Systems

Transcription

Nakdong River Restoration Project from the perspective of Systems
Nakdong River Restoration Project from the perspective of Systems Thinking
P f Sh
Prof. SheungKown
K
Ki Ph D
Kim, Ph.D
Korea University, Systems Analysis Lab.
Tel : 82-2-924-3864
„ Http://syslab.korea.ac.kr
„ E
E-mail
mail : kimsk@korea.ac.kr
Content
NakDong River Restoration Project
River Restoration Project
The Integrated Model (CoWMON)
The Integrated Model (CoWMON)
Trial Application
Trial Application
Conclusions
Application Area (Nakdong River Basin, Korea)
NakDong River Restoration Project, Korea
Young Ju Dam
Connecting tunnel
SnagJu Weir
NakDan Weir
GuMI Weir
ChilGOk Weir
GnagJung Weir
DaiGu Metrocity
DalSung Weir
HapChun Weir
HamAnWeir
BuSan Metrocity
Barrage Expansion
Proposed NakDong River Weirs
Weir
SangJu
NakDan
G Mi
GuMi
ChilGok
GangJung
g
g
DalSung
HapChun
HamAn
TOTAL
Effective Storage3
(Million m )
28.7
34.3
55 4
55.4
93.6
107.7
56.0
66.6
81 7
81.7
524
Normal Max Normal
Max
Min Storage
Min Level of Level of Weir During drought
Weir Pool (MLW)
3
Pool (NMLW)
(Million m )
(El.m)
(El.m)
47
40
32 5
32.5
25.5
19.5
14
10.5
50
5.0
4.3
2.5
49
4.9
9.8
70.7
3.0
12.4
6
37.2
29.6
22
23.7
16.7
5.0
5
1 15
1.15
113.6
REF: (2004): Technical Notes of Reservoir Operation Practice of K‐Water Co. (한국 수자원 공사 다목적댐 운영 실무편람
Additional water storage due to the construction of 8 Weirs in NakDong basin Î 524‐113.6 = 410 Million m3
)
A New Dam and Connecting 2 Dams are planned
ƒ Connection of 2 Dams of Andong & Imha in upstream
ƒ A New YoungJu
A New YoungJu Storage Dam in NaiSung
Storage Dam in NaiSung Chun
ƒ Construction of 8 river weirs ƒ Î Modification of existing CoMOM Model is necessary => CoWMOM
Y
YoungJu
J Dam
D
Connecting tunnel
Imha Dam
I h
Imha
Andong
Andong
Dam
SnagJu Weir
What is the Problem?
• Enough to fill reservoir and to spill over weirs ?
E
h fill
i
d
ill
i ?
• Enough to meet the water quality STD during the low flow periods?
• Would it hamper the Long‐run water supply outlook? – Dry period : Nov. ~ Jun. the following yr
– Water short area: 113 km /166 km downstream of AndongDam
near ~ Gumi Weir / ~ GangJung Weir • Have to study the impacts from the perspective of overall water d h i
f
h
i
f
ll
supply capability in the basin.
-3-
Hydrology at NakDong River Basin
Monthly Inflow to AnDong
Monthly
Inflow to AnDong Dam Dam
(‘77~’03)
Monthly Inflow to ImHa
Monthly
Inflow to ImHa Dam Dam
(‘93~’03)
Monthly Inflow to HapChun Dam Monthly Inflow to NamGang Dam REF: (2004): Technical Notes of Reservoir Operation Practice of K-Water Co.
-4-
Hydrology of the basin & Major Storage Dams
Dam
YungJu
Effective Min Inflow
Storage3 & the Year
& the Year
3
(Million m )
(Million m ) Average Min. Inflow / Avg. Inflow/ Max Inflow Effective Effective & the Year
Inflow3
& the Year
(Million m )
(Million m3)
Storage
Storage
200 96 (est.)
205.5 48%
103%
393.6 AnDong
1,000 479 (1982) 1,027.6 48%
103%
1,968 (2003)
I H
ImHa
424
424 224 (1994)
224 (1994)
787 0
787.0 53%
186%
1 723 (2003)
1,723 (2003) HapChun
560 216 (1994)
701.8 39%
125%
1,315 (2003) NamGang
300 667 (1988)
2,109.7 222%
703%
4,135 (2003) (Newly proposed)
REF: (2004): Technical Notes of Reservoir Operation Practice of K‐Water Co. (한국 수자원 공사 다목적댐 운영 실무편람)
Æ The variations of inflow in the basin is so wide that upstream dams may not be filled at all during a drought year.
drought year. From the perspective of Systems Thinking
– A system is defined as a collection of components that organized to accomplish a specific function or set of functions.
– The system produces better results that cannot be achieved by each components alone. Systems Approach
The key of systems approach is to maintain the holistic point of view.
Î Leads us to the efficient operation
The Integrated Model
Rebalancing of the water sharing across the basin is necessary.
Î We developed an Integrated Water Resource Allocation We developed an Integrated Water Resource Allocation
Model using the mathematical optimization model;
We did not use common modeling platform. Like Riverware, gp
,
….etc.
In the beginning, CoMOM (Coordinated Multiple Reservoir Operation Model) for multiple reservoir operation problems was developed (Kim et al 2005)
was developed (Kim et.al. 2005). Later , it has been expanded to include river weirs imposing ,
p
p
g
water quality standards. CoWMOM
Why not use Common Modeling Platform?
Hydrology of Korea is different from other countries.
‐ Heavy rain during Monsoon Flood Period, but not enough rain in the rest of the year. ( now the climate change affects)
‐ catchment area is small ( small country)
catchment area is small ( small country)
‐ Land slope is steep toward the east mountainous region.
‐ not many dam sites, and the size of dam is small.
y
‐ The practice of water use is uniquely different from other countries. Water Supply is the prime objective of reservoir operation
CoMOM (Quantity based) Î
CoWMOM ( Quantity and Quality based)
Coordinated Weirs & Multi-Reservoir Opperatingg Model :
Considers Fishway releases,
The water quality impacts on spatiotemporal water allocation.
Good enough for a preliminary evaluation.
Non-inferior Multi-reservoir release plans will be given
The results will be screened out later with more sophisticated
water quality simulation model (eg. WASP).
Daily Coordinated Weir & Multiple Reservoir Operation Model (CoWMOM)
- The expansion of the daily CoMOM (Coordinated
(
MultiMulti
reservoir Operating Model) to include the operation of weirs
considering water quality standards -
CoWMOM Model -Network Flow Diagram
for Nakdong River basin Nodes
Network
Reservoir
WiChon
Confluence
B7
Y
YoungJU
JU Dam
D
B6
B5
6
7
SangJu
8
B1
B8
conduit
5
GuMi
2
6.82
Gam cheon
3.19
Sun San
B9
Control Point
Terminal
Conduit
Spill
Outlet
Channel
Carryover
Weir Pool
1
5.58
낙동
9
Demand Site
SubBasin
4
Nakdan
Power Plant
B
B3
Andong D.
Andong
brige
Sabul
3
10
Chil gok
Unit : CMS
성서
B12
13
16
0.43
0.6
B15
19
24
3.87
남강댐
하류
JinJu
Masan
Juk Po
28
0.71
Mil yang
0.29
29
B20
B24
Sam Rang Jin
Wool san
B25
4.67
하구언
Chang won
1.39
B22
32
B21
30
Ham An
B23
31
Mil yang
운문댐
하류
50.0
B18
3.55
B22
Woon Moon
26
25
3.17
달창지
Jindong
23
Pohang
30.0
27
22
JinJu
Industrial
Jin Ju
Municipal
M
i i l
Yung Chon
Hap cheon
Hap Cheon
1.84
율지교
14
15
3.00
Kyung San
회천
1.49
영천댐
하류
동촌
Dal Sung
g
21
Namgang
Municipal
Dae Gu
City
17
18
B17
20
1.34
25.6
GoRyung
Bridge
옥연지
Hap Cheon
Nam gang
Bo Hyun
7.93
B14
B19
11
Gang Jung
B13
B16
B11
12
4.71
Wai Gwan
B10
Imha
B4
GuMi
City
B2
33
Pusan
15.06
Nakdong
Barrage
Daily Coordinated Weir & Multi‐Reservoir Operating Model
CoWMOM
i th
is
the expansion
i off CoMOM
C MOM 4.0
40
CoMOM 4.0
(C di t d M lti R
(Coordinated Multi‐Reservoir Operating Model)
i O
ti M d l)
Weir Weir
operation requirements M lti P i d Dynamic
Multi-Period
D
i Min
Mi Cost
C t Network
N t
k Fl
Flow
imbedded Model
Daily Planning /Operational Model
Water Quality Assessment
From the
From the Perspective of Total Quantity of Q
y
Pollutant
Preemptive Goal Programming Model
Mixed Integer Programming Model
Interactive Multi-Objective Analysis
Logic Behind the CoWMOM
1. Holistic Approach
2. Water Conservation
Given the forecasting of mid and long term water inflow, the best operation
policy would be to reduce unnecessary water releases not to mention
minimizing spill, and to store max allowable water in upstream dams. This is
the water conservation approach.
3. Deterministic Approach
pp
in shortshort-term
Operation
The model assumes that future inflow and water demand of each period are known.
4 Sustainable
4.
S t i bl W
Water
t S
Supply
l
g thru Fish-passage
p
g
5. Guarantee the discharge
, meeting Water Quality rqm’t
What is CoWMOM ?
Goal: finding the daily operating policies of upstream dams to
meet certain water quality requirements from the perspective of
sustainable water supply in a basin.
Features
- The river routing (optional)
- The nonlinear process of hydropower generation is linearized.
- Multiple
p objectives
j
trade-off analysis
y ((storage
g Vs. hydropower)
y p
)
- The object oriented programming environment
- The Real
Real-time
time operational environment
- Blending of pollutants and nutrients
How to use the CoWMOM?
Real--time Water Management System
Real
Real‐time
Real
time Water Management System
Water Management System
• Decision Numerical Value by RRFS
Numerical Value by RRFS
End‐of
End‐
of‐‐the
the‐‐month
Target Reservoir Water Levels
b SSDP/ESP
by SSDP/ESP or by 2
by SSDP/ESP or by 2‐
b 2‐stage Stochastic LP
t
St h ti LP
Daily CoWMOM
Release Decision
Actual Initial Storage Simulation (KModSim)
Simulation (KModSim)
And River Water Quality Model
19
How to use the CoWMOM?
Coordinated Weirs & Multi Coordinated Weirs & Multi Reservoir Reservoir Operation
Inflow Forecasting
Long/Short Term Weather Forecasting
Forecasted
Rainfall
Forecasted Rainfall
Historical Record
Historical Record of Rainfall
Inflow from RRFS (Rainfall R
Runoff ff
Forecasting System)
Operating Rule
Monthly Operation Model
(Stochastic Model) Monthly Target Storage
Daily CoWMOM
Daily CoWMOM
Daily Release
Database
Reservoir Operation Simulation
Initial Storage on the next Day
Conceptual layout of Movable and Rigid Weir Scenic Weir Pool Level
Rigid Weir
Normal Weir Pool Level
Normal Weir Pool Level
Movable Weir ((Rising sector s g sec o
sluice gate)
Minimum Weir Pool Level for fishway
Range of Water Level Control
Range
of Water Level Control
With Movable Weir
Low Water Level: Minimum Water Level for Small Hydro
Conduit for Small Hydro
3. Discharge through Fish-passage
During the spawning season,
season specific amount of water has to
be discharged through fish-passage.
In order to meet the required flow through fish spillway we
have to meet the ‘Minimum Level of Weir pool for Fishpassage (MLWF)’ which
hi h iis b
below
l
th
the elevation
l
ti off normall weir
i
pool.
We applied goal programming constraints to meet the MLWF.
Weir Pool Level constraints
Minimum Level of Weir pool for Fish‐passage (MLWF) constraints
S
t
weir
−E
w+
weir
+E
w−
weirr
≥ Fish release Storage
for t ∈ [ spawing period ], ω = 1...100
Where
t
S weir
Erw+ and Erw−
: the storage of weir at t, : the deviations from the target storage of the weir.
Conditional constraints for fish discharge and spillway overflow
ill
fl
t
S
⎡
⎤
t
t
weir
[
]
I F −weir ,n ≤ ⎢
,
where
I
∈
0
,
1
F
−
weir
,
n
Fish release Storage⎥⎦
⎣
However we need another type of constraints that would make the fish discharge H
d
th t
f
t i t th t
ld
k th fi h di h
occur physically. Unless we impose the following conditional constraints, fish discharge might also occur even if the weir pool level is below the minimum weir pool level for fish discharge. t ,w
weir , n
Q
t ,w
Q weir
,n
≤ BigM
g ×I
≤ Q Max
Fish release
t ,w
, Q weir
,n
t
F − weir , n
t
≤ Q Fish
release
‐‐‐ (a)
× I Ft − weir
,n
t ,w
, Q weir
,n
≤ Q Rt ,−wweir
,n
× I Rt − weir
,n
− − ( 21
Using the binary variable in equation (a), we will be able to release the required fish discharge when the weir pool level is higher than the required pool elevation. Water Quality Requirements. The river weir will act as sediment and nutrient traps. Pooled water by river weir may provide greater opportunities for the Pooled
water by river weir may provide greater opportunities for the
growth of algae (phytoplankton) that can lead to eutrophication. Î
control TP, water temperature, TN etc
,
p
,
After all, even the more complex extensions of the state of the art i
in water quality models only give us the crude approximation of li
d l
l i
h
d
i
i
f
the interactions among various constituents that occur in water bodies
bodies.
We do not exactly know how the river weir will affect the river y
water quality. 4. Water Quality Requirements. The process of mixing better quality water to the poor The
process of mixing better quality water to the poor
quality water Î blending the nutrients or pollutants. The process of blending nutrients and pollutants can easily be incorporated into continuity equations The objective is to find the best blend of ingredients into the volume of water to meet certain water quality
the volume of water to meet certain water quality specification by adjusting the upstream reservoirs release.
Have to Monitor and collect the data in real‐time. Constraints for Total Pollutant Control
X2
X1
Pa1 a1 ,, Pb1
Pa2 a2 ,, Pb2
S (X3)
Pa3 , Pb3
Table 1. Concentrations of pollutants in each water volume. Proportions of
pollutant A
Proportions of po
llutant B
X1: Local Inflow to S
Pa1
Pb1
X2 : Release to S from upstream dam
Pa2
Pb2
X3: Amount of initial storage at location, S
Pa3
Pb3
Decision Variable : Description
Total quantity requirements for each pollutant
The total quantity of pollutant, A in S: kA * (Pa1 X1+ Pa2 X2 + Pa3 X3)/(X1+X2+X3)
X1
Pa1 , P
Pb1
X2
Pa2 , P
Pb2
the total quantity of pollutant B in S : S ((X3)
kB * (Pb1 X1+ P
+ Pb2 X2 + P
+ Pb3 X3)/(X1+X2+X3)
Pa3 , Pb3
at the end of the period.
where kA : the pollution reduction parameter of pollutant A in S during the unit period of reservoir operation. Water Quality Requirements (for Preliminary Analysis)
kA(Pa1 X1+ P
+ Pa2 X3 + P
+ Pa3 X3)/(X1+X2+X3) <= L
) < LA ‐‐‐ (1)
kB(Pb1 X1+ Pb2 X2 + Pb3 X3)/(X1+X2+X3) <= LB ‐‐‐ (2)
Trial Application for
Trial
Application for
Comparison between the case with and p
without Imposing Water Quality St d d d i
Standards during a dry season
d
Water Storage Rebalancing
‐15.61
15 61
[MCM]
‐6 02
‐6.02
[MCM]
DalSung Weir
‐5.07
[MCM]
DalSung
+9.90
[MCM]
+0.16
[MCM]
+14 17
+14.17
[MCM]
W/O water Water Quality quality Changes imposed Requirements q
BOD
T‐P
BOD
May
TP
T‐P
BOD
June T‐P
BOD
Average Average
T‐P
April 2.50
0.16
2.5
0 16
0.16
2.60
0.15
2.53
0.16
NakDong River Basin
Average
Basin Outlet
l
[MCM]
2.20
0.14
2.35
0 13
0.13
2.52
0.13
2.36
0.13
Changes
(%) ‐0.30
‐0.02
‐0.15
‐0.03
0 03
‐0.08
‐0.02
‐0.17
‐0.03
‐12.00%
‐12.50%
‐6.00%
‐18.75%
18 75%
‐3.08%
‐13.33%
‐6.72%
‐18.75%
W/O water quality Requirements
Water Quality imposed
Changes
April
24.37 25.13 0.76 May
35.21 34.57 ‐0.64 June
16.86 16.87 0.01 Total
76.44 76.56 0.12 Changes (%)
3.10%
‐1.82%
0.06%
0.16%
Results of Reservoir Operation by Daily CoWMOM (continuous Operation)
Normal Maximum Water Surface Elevation
Flood Control Elevation
Flood Control Elevation W/O water quality Requirements
W t Q lit St d d i
Water Quality Standards imposed
d
Historical Records
Flood season Start
Flood season Start
AnDong
Flood season Start
YoungChon
ImHa
Flood season Start
HapCHun
Results of Reservoir Operation by Daily CoWMOM (continuous Operation)
Normal Maximum Water Surface Elevation
Flood Control Elevation
Flood Control Elevation W/O water quality Requirements
W t Q lit St d d i
Water Quality Standards imposed
d
Historical Records
Flood season Start
Flood season Start
WunMoon
NamGang
Floo
d seas
on Start
MilYang
Discussions
From the result, we can see that the required upstream ,
q
p
release to keep water quality STD at Dalsung Weir was about 27 MCM. ‐ Loss of Water Supply capability
However, the possible loss of Water supply capability of the Nakdong Basin could be made up for by increasing the the Nakdong
Basin could be made up for by increasing the
storage at Hapchon, WunMoon and Mil Yang by 24 MCM in total.
This is what the systems approach aimed at from the b i i
beginning.
Conclusions
Goal of good water allocation is that a ‘good quality’ and ‘the G
l f
d t
ll ti i th t ‘ d
lit ’ d ‘th
right amount’ of water has to be delivered to ‘the right place’ at ’the
at the right time
right time’. CoWMOM (Coordinated Weirs & Multi‐Reservoir Operating Model ) takes into consider the water quality impacts on spatiotemporal water allocation, using blending process
The systems thinking helps to rebalance the water sharing across the basin.
across the basin. ‐ The preliminary plans will be screened out later with more sophisticated water Th
li i
l
ill b
d
l
ih
hi i
d
quality simulation model. Like, WASP(Water Analysis Simulation Program) etc.
WASP(Water Analysis Simulation Program) etc.‐‐
Acknowledgments
This research was supported by Korea University special research grant, and partly by a grant (code 1‐6‐2) from Sustainable Water Resources Research Center of 21st Century Frontier Research Program.
Program
Thank you!
y
E mail: kimsk@korea.ac.kr
E-mail:
kimsk@korea ac kr
http://syslab.korea.ac.kr
Acknowledgments
This research was supported by a grant (code 1-6-1) from Sustainable Water Resources
Research Center of 21st Century Frontier Research Program
Program.
Appendix
The Environment of Real‐time Water Supply M
Management Simulation
t Si l ti
Monthly Sampling Stochatic
y
p g
DP
or 2 Stage Stochastic LP
Basin Hydrology
Basin
Hydrology & Reservoir
& Reservoir
‐ Weir operational limits
Monthly Target Storage
Long/Short Term Weather Forecasting
Forecasted
Rainfall
Forecasted Rainfall
Historical Hydrological Data
Real‐‐Time DB
Real
Rule Curves of Reservoir‐
Weir System
Weir System
Daily Coordinated Weirs & Multi‐Reservoir Operating Model (CoWMOM) ( Strategic Water Quality Management )
Inflow from RRFS (Rainfall Runoff
Runoff Forecasting System)
1st Trial Multi‐
T i l M lti‐reservoir Release Plan
Trial Multi
i R l
Pl
Detailed Simulation Analysis with Water Quality STD
Final Multi
Final Multi‐‐reservoir Release Plan
Multi‐Reservoir & Weirs Operating Plan
Feedback
(optional)
Wun‐
Moon
MilYang
Total
166 54
166.54 67 54
67.54 44 83
44.83 1 292 30
1,292.30 221.80 166.54 67.54 44.83 1,269.92 ‐3.97 54.04 0.00 0.00 0.00 ‐22.38 ‐9 68%
‐9.68%
‐10 37%
‐10.37%
32 21%
32.21%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
‐1 73%
‐1.73%
592.36 209.87 36.21 200.00 165.83 66.20 42.60 1,313.07 Water Quality imposed
562.64 198.16 35.58 233.55 165.83 66.20 42.60 1,304.56 Changes
‐29.72 ‐11.71 ‐0.63 33.55 0.00 0.00 0.00 ‐8.51 Changes (%)
W/O water quality Requirements
‐5.02%
‐5.58%
‐1.73%
16.77%
0.00%
0.00%
0.00%
‐0.65%
41.00 16.86 0.00 123.20 8.84 0.00 0.00 189.91 Water Quality imposed
114.61 19.02 0.00 69.16 8.84 0.00 0.75 212.39 Changes
73.60 2.17 0.00 ‐54.04 0.00 0.00 0.75 22.48 Changes (%)
W/O water quality Requirements
179.50%
12.85%
0.00%
‐43.86%
0.00%
0.00%
0.00%
11.84%
4.64 1.91 0.00 14.01 0.43 0.00 0.00 20.99 12.74 2.11 0.00 8.29 0.43 0.00 0.17 23.74 Changes
8.10 0.20 0.00 ‐5.72 0.00 0.00 0.17 2.75 Changes (%)
W/O water quality
W/O water quality Requirements
174.55%
10.69%
0.00%
‐40.83%
0.00%
0.00%
0.00%
13.10%
0 00
0.00 0 00
0.00 0 00
0.00 0 00
0.00 131 82
131.82 0 00
0.00 0 00
0.00 131 82
131.82 Water Quality imposed
0.00 0.00 0.00 0.00 131.82 1.84 0.00 133.66 Changes
0.00 0.00 0.00 0.00 0.00 1.84 0.00 1.84 Changes (%)
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
1 40%
1.40%
AnDong
ImHA
Young‐
Chon
W/O water quality water quality
Requirements
596 07
596.07 211 32
211.32 38 25
38.25 167 76
167.76 Water Quality imposed
544.07 190.86 34.28 Changes
‐51.99 ‐20.46 Changes (%)
W/O water quality Requirements
‐8 72%
‐8.72%
NakDong River Basin
End Storage
[MCM]
2
0
1
0
.
0
4
Average Storage
[MCM]
Power R l
Release
[MCM]
Power Water Quality imposed
P
Generation
[Gwh]
Spillway Release
[MCM]
HapCHun NamGang
Wun‐
Moon
MilYang
Total
166 54
166.54 77 06
77.06 44 83
44.83 1 277 75
1,277.75 169.25 166.54 77.24 52.04 1,275.45 ‐5.07 17.07 0.00 0.18 7.20 ‐2.29 ‐2 94%
‐2.94%
‐11 57%
‐11.57%
11 22%
11.22%
0 00%
0.00%
0 24%
0.24%
16 07%
16.07%
‐0 18%
‐0.18%
558.05 196.34 38.61 164.53 165.73 69.79 43.58 1,236.62 Water Quality imposed
528.90 184.78 34.09 182.93 164.87 69.85 47.30 1,212.72 Changes
‐29.16 ‐11.56 ‐4.52 18.41 ‐0.86
0.06 3.72 ‐23.90 Changes (%)
W/O water quality Requirements
‐5.22%
‐5.89%
‐11.71%
11.19%
‐0.52%
0.09%
8.53%
‐1.93%
126.37 20.48 0.00 59.19 9.32 0.00 7.98 223.35 Water Quality imposed
75.93 20.00 0.00 96.25 9.32 0.00 0.78 202.28 Changes
‐50.43 ‐0.48 0.00 37.06 0.00 0.00 ‐7.20 ‐21.07 Changes (%)
W/O water quality Requirements
‐39.91%
‐2.35%
0.00%
62.60%
0.00%
0.00%
‐90.27%
‐9.43%
13.97 2.27 0.00 6.15 0.45 0.00 1.80 24.64 8.21 2.16 0.00 10.51 0.45 0.00 0.18 21.52 Changes
‐5.75 ‐0.11 0.00 4.36 ‐0.00
0.00 ‐1.62 ‐3.12 Changes (%)
W/O water quality
W/O water quality Requirements
‐41.20%
‐4.63%
0.00%
70.95%
‐0.17%
0.00%
‐90.02%
‐12.65%
0 00
0.00 0 00
0.00 0 00
0.00 0 00
0.00 159 34
159.34 0 00
0.00 0 00
0.00 159 34
159.34 Water Quality imposed
0.00 0.00 0.00 0.00 159.34 0.00 0.00 159.34 Changes
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Changes (%)
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
AnDong
ImHA
Young‐
Chon
W/O water quality water quality
Requirements
585 99
585.99 207 36
207.36 43 78
43.78 152 18
152.18 Water Quality imposed
570.40 201.27 38.71 Changes
‐15.59 ‐6.10 Changes (%)
W/O water quality Requirements
‐2 66%
‐2.66%
NakDong River Basin
End Storage
[MCM]
2
0
1
0
.
0
5
Average Storage
[MCM]
Power R l
Release
[MCM]
Power Water Quality imposed
P
Generation
[Gwh]
Spillway Release
[MCM]
HapCHun NamGang
Wun‐
Moon
MilYang
Total
166 54
166.54 75 43
75.43 39 31
39.31 1 047 89
1,047.89 162.08 166.54 75.59 53.48 1,045.42 ‐5.07 9.90 0.00 0.16 14.17 ‐2.47 ‐4 11%
‐4.11%
‐13 81%
‐13.81%
6 50%
6.50%
0 00%
0.00%
0 21%
0.21%
36 04%
36.04%
‐0 24%
‐0.24%
516.96 180.07 40.29 154.65 166.54 75.98 41.78 1,176.28 Water Quality imposed
498.47 172.77 35.23 169.63 166.54 76.14 52.58 1,171.36 Changes
‐18.49 ‐7.30 ‐5.07 14.98 0.00 0.16 10.80 ‐4.92 Changes (%)
W/O water quality Requirements
‐3.58%
‐4.05%
‐12.58%
9.69%
0.00%
0.21%
25.84%
‐0.42%
225.20 23.32 0.00 9.72 9.43 0.00 7.72 275.40 Water Quality imposed
225.75 22.84 0.00 16.92 9.43 0.00 0.75 275.69 Changes
0.55 ‐0.48 0.00 7.20 0.00 0.00 ‐6.97 0.29 Changes (%)
W/O water quality Requirements
0.24%
‐2.07%
0.00%
74.05%
0.00%
0.00%
‐90.27%
0.11%
24.02 2.49 0.00 0.99 0.46 0.00 1.72 29.67 23.79 2.40 0.00 1.78 0.46 0.00 0.18 28.60 Changes
‐0.23 ‐0.09 0.00 0.79 0.00 0.00 ‐1.54 ‐1.07
Changes (%)
W/O water quality
W/O water quality Requirements
‐0.96%
‐3.55%
0.00%
79.76%
0.00%
0.00%
‐89.55%
‐3.60%
0 00
0.00 0 00
0.00 0 00
0.00 0 00
0.00 23 23
23.23 0 00
0.00 0 00
0.00 23 23
23.23 Water Quality imposed
0.00 0.00 0.00 0.00 23.23 0.00 0.00 23.23 Changes
0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Changes (%)
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
AnDong
ImHA
Young‐
Chon
W/O water quality water quality
Requirements
431 37
431.37 146 35
146.35 36 71
36.71 152 18
152.18 Water Quality imposed
415.76 140.33 31.64 Changes
‐15.61 ‐6.02 Changes (%)
W/O water quality Requirements
‐3 62%
‐3.62%
NakDong River Basin
End Storage
[MCM]
2
0
1
0
.
0
6
Average Storage
[MCM]
Power R l
Release
[MCM]
Power Water Quality imposed
P
Generation
[Gwh]
Spillway Release
[MCM]
HapCHun NamGang
Wun‐
Moon
MilYang
Total
166 54
166.54 75 43
75.43 39 31
39.31 1 047 89
1,047.89 162.08 166.54 75.59 53.48 1,045.42 ‐5.07 9.90 0.00 0.16 14.17 ‐2.47 ‐4 11%
‐4.11%
‐13 81%
‐13.81%
6 50%
6.50%
0 00%
0.00%
0 21%
0.21%
36 04%
36.04%
‐0 24%
‐0.24%
555.82 195.44 38.37 172.96 166.03 70.65 42.67 1,241.93 Water Quality imposed
529.99 185.23 34.95 195.23 165.74 70.72 47.49 1,229.36 Changes
‐25.83 ‐10.21 ‐3.42 22.27 ‐0.29 0.07 4.83 ‐12.57 Changes (%)
W/O water quality Requirements
‐4.65%
‐5.22%
‐8.91%
12.88%
‐0.18%
0.11%
11.31%
‐1.01%
392.57 60.66 0.00 192.12 27.59 0.00 15.71 688.65 Water Quality imposed
416.29 61.86 0.00 182.33 27.59 0.00 2.28 690.36 Changes
23.72 1.20 0.00 ‐9.79 0.00 0.00 ‐13.43 1.70 Changes (%)
W/O water quality Requirements
6.04%
1.98%
0.00%
‐5.10%
0.00%
0.00%
‐85.48%
0.25%
42.62 6.67 0.00 21.15 1.34 0.00 3.52 75.30 44.74 6.68 0.00 20.58 1.34 0.00 0.53 73.86 Changes
2.11 0.01 0.00 ‐0.57 ‐0.00 0.00 ‐2.99 ‐1.44 Changes (%)
W/O water quality
W/O water quality Requirements
4.96%
0.16%
0.00%
‐2.69%
‐0.06%
0.00%
‐85.01%
‐1.91%
0 00
0.00 0 00
0.00 0 00
0.00 0 00
0.00 314 39
314.39 0 00
0.00 0 00
0.00 314 39
314.39 Water Quality imposed
0.00 0.00 0.00 0.00 314.39 1.84 0.00 316.23 Changes
0.00 0.00 0.00 0.00 0.00 1.84 0.00 1.84 Changes (%)
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 00%
0.00%
0 59%
0.59%
AnDong
ImHA
Young‐
Chon
W/O water quality water quality
Requirements
431 37
431.37 146 35
146.35 36 71
36.71 152 18
152.18 Water Quality imposed
415.76 140.33 31.64 Changes
‐15.61 ‐6.02 Changes (%)
W/O water quality Requirements
‐3 62%
‐3.62%
NakDong River Basin
End Storage
[MCM]
T
o
t
a
l
Average Storage
[MCM]
Power R l
Release
P
e
r
i
o
d
[MCM]
Power Water Quality imposed
P
Generation
[Gwh]
Spillway Release
[MCM]
HapCHun NamGang

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