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Tingju Zhu1, Guilherme F. Marques2, Jay R. Lund3
Economic Optimization of Integrated Water Management
and Transfers under Stochastic Surface Water Supply
1International Food Policy Research Institute, Washington, DC
2Universidade Federal do Rio Grande do Sul, Brazil
3Department of Civil and Environmental Engineering, University of California, Davis, CA
World Environmental & Water Resources Congress
2013, Cincinnati, OH
Sectors, Choices, and Decision-making Structure
Perennial
o Citrus
o Grapes
o Fruit nuts
Annual
 Cotton
 Field crop
 Truck crop
 Alfalfa
 Misc grain
Long-term
o Toilet
o Dishwasher
o Washing
machine
o Leakage
o Xeriscaping
Short-term
 Toilet dam
 Dry lawn
 Dry shrub
Quantifying Seasonal Flow Forecasting Skill















r
KK
r
K
r
K
r
K
rr
r
K
rr
ppp
ppp
ppp
,...,,
...
,...,,
,...,,
21
22221
11211
r
P
Seasonal
Forecasting
Model
Historical
weather data
Seasonal
forecasts /
hindcast
Observed
flow data
 Tf
K
ff
ppp ,...,, 21f
P
 T
K
h
ppp ,...,, 21P
Formulation of Three-stage Stochastic Programming
Problem
max Z = -
v=1
V
å c1i × X1iv
i=1
I
å -cpc × IPC - IRv
v=1
V
å
- pj
f
pjk
r
v=1
V
å cR1i XL1ijkv
i=1
I
å +
v=1
V
å cR2l × XL2ljkv
l=1
L
å
æ
è
ç
ö
ø
÷
k=1
K
å
æ
è
çç
ö
ø
÷÷
j=1
K
å
+ pj
f
pjk
r
v=1
V
å b1i XH1ijkv
r
- a1iv +0.5g1iv XH1ijkv
r
( )XH1ijkv
r
( )i=1
I
å +
v=1
V
å b2l X2ljkv
r
- a2lv +0.5g2lv X2ljkv
r
( )X2ljkv
r
( )l=1
L
å
æ
è
ç
ö
ø
÷
k=1
K
å
æ
è
çç
ö
ø
÷÷
j=1
K
å
- cu1mY1m - pj pjk
r
cu2nY2njk
n=1
N
å
k=1
K
å
æ
è
ç
ö
ø
÷
j=1
K
å
m=1
M
å
- pj
f
pjk
r
CWTjk +cr XRjk +cpWPjk( )
k=1
K
å
æ
è
ç
ö
ø
÷
j=1
K
å
Subject to a set of constraints
D1: 1st stage decisions, being made only
once at the beginning of the entire planning
period, and are independent of any
particular hydrological year types.
D2: 2nd stage decisions, being made
when seasonal forecasting becomes
available.
D3: 3rd stage decisions, being made when
actual year type is known.
 

















J
j
jTjGj
J
j
j
J
j
j
TCGCP
gPgfPfZ
1
1
2j1211
1
2j1211
)()(
),()(),()(max YYYXXX
jTGqW jjj  ,),( 2j1 XX
jTqSD jjj  ,)1(),( 2j1 YY
  jWGP
J
j
jj 
,0),(
1
2j1 XX
   
   







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







J
j
jj
J
j
jjjj
J
j
jjjj
J
j
jTjGj
J
j
j
J
j
j
WGPTqSD
TGqWTCGCP
gPgfPfL
1
2j1
1
2j1
1
2j1
1
1
2j1211
1
2j1211
),()1(),(
),()()(
),()(),()(
XXYY
XX
YYYXXX


Lagrangian
Analytical Analysis of Two-Stage Water Transfer Problem -
Formulation
Constraints
Objective
i
W
P
Wf
P
f J
j
j
J
j
j
J
j
j 











 
,
X
),(
X
),(
X
),(
X
)(
1 1i
2j1
1 1i
2j1
1 1i
2j12
1i
11
XXXXXXX

Equimarginal principle (1): Marginal benefit of growing permanent crop X1i equals MV of
irrigation water increase minus the MV of overdrafting the portion of increased irrigation
water use that percolates into the aquifer
kj
WGCW
P
f jG
j
j
,,
X
),(
G
)(
X
),(
)1(
X
),(
2jk
2j1
j2jk
2j1
2jk
2










 XXXXXX 2j1



Equimarginal principle (2): Marginal benefit of growing annual crop X2jk in year type j equals
the value of the portion of marginal applied water that does not percolate into aquifer plus
the cost to pump the rest of marginal applied water that percolates into the aquifer, in year j.
Analytical Analysis of Two-Stage Water Transfer Problem -
Equimarginal principle
i
Y
S
Y
g
P
Y
g J
j
j
J
j
j 








 
,
),(),()(
1 1i
2j1
1 1i
2j12
1i
11
YYYYY

   
kj
S
PY
g
j
j
,,
Y
,,
2jk2jk
2





 2j12j1 YYYY 
Marginal cost of implementing a long-term conservation measure equals the value of
water use reductions resulting from implementing the measure
Marginal cost of implementing a short-term conservation measure k in year type j equals
the value of water conserved from the marginal implementation
j
G
GC
P j
jG
j
j



 ,
)(


Marginal value of irrigation water in year type j equal the marginal cost of groundwater
pumping or recharge in year type j plus the expected marginal value of groundwater
overdraft
21
1
,,
)()(
2
2
2
2
1
11
jj
G
GC
PG
GC
P j
jG
j
j
j
jG
j
j








For any two different year types j1 and j2, the marginal value of irrigation water minus
marginal cost of groundwater pumping or recharging in year type j1 should equal that in j2
Analytical Analysis of Two-Stage Water Transfer Problem -
Equimarginal principle
j
T
TC
P j
jT
j
jj





,
)(
Under economically optimal situation the difference between urban water shadow
value and irrigation water shadow value in year type j should equal the marginal cost of
water transfer.
Analytical Analysis of Two-Stage Water Transfer Problem -
Equimarginal principle
  
   

 
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






J
j
I
i
ijiRPjRjPjjTj
M
m
J
j
J
j
N
n
njn
M
m
mmjrjj
N
n
njnjmm
K
k
kjkjkkkjk
J
j
I
i
ijijiiijijiiINI
XLcXRcWPcWTUAWTAUcp
YeYeDcpYcpYc
XXXv
XXXvpXIcZMax
1 1
1,
1 1 1 1
22
1
11
1
2211
1
222222
1 1
1111111,
2
1
2
1


jWTUAWTAUXRcapWPqXwXw jjjRjj
K
k
kjk
I
i
iji   
,
1
22
1
11 
jWTUAWTAUqYeYeD jjj
N
n
njn
M
m
mmj   
,)1(
1
22
1
11 
jXwXwXRcapWPp
h
j
L
l
kjk
I
i
iijRjj 
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
  
,0
1 1
22
1
11
Stochastic mass conservation of groundwater aquifer
Capacity constraints: Land, water, infrastructure
Water balance in urban sector
Water balance in ag sector
Two-stage Programming Model
Objective function
Discrete probabilities of surface water availability for the
normal, dry, and wet scenarios
Base –
Conjunctive
use plus
water
transfers
noWT –
Conjunctive
use without
water
transfers
NoCU –
Water
transfers
without
conjunctive
use
NWNC – No
conjunctive
use plus no
water
transfers
Inflow
Scenario -
Normal
X X X X
Inflow
Scenario - Dry
X X X X
Inflow
Scenario -
Wet
X X X X
Hydrologic and Water Management Scenarios
-200
-150
-100
-50
0
50
100
150
200
250
300
0.044
0.264
1.242
4.022
9.652
18.688
30.564
44.252
57.934
69.916
79.862
86.932
91.898
95.196
97.282
98.488
99.228
99.600
99.792
99.892
99.930
99.964
99.982
99.992
99.998
Agriculturalwatersupply,allocationanduse
(106m3/yr)
Non-exceedence frequency of hydrologic year type (%)
U-A transfer
A-U transfer
Artificial recharge
GW pumping
Surface water supply
Ag Use
Agricultural water supply and optimal pumping, recharge,
transfers and use decisions in various year types
0
2000
4000
6000
8000
10000
12000
14000
16000
Base noCU noWT NWNC
Perennialcroparea(ha)
Normal Dry Wet
Perennial crop areas under various surface water availability
and management scenarios
60
70
80
90
100
110
120
130
140
150
80 130 180 230 280 330Irrigationwateruse(106m3)
Surface water availability (106 m3)
Base NoCU
NoWT NWNC
0
500
1000
1500
2000
2500
80 130 180 230 280 330
Annualcroparea(ha)
Surface water availability (106 m3)
Base NoCU
NoWT NWNC
Annual crop areas and water uses under normal surface
water availability scenario
-40
-20
0
20
40
60
80
100
0.044
0.264
1.242
4.022
9.652
18.688
30.564
44.252
57.934
69.916
79.862
86.932
91.898
95.196
97.282
98.488
99.228
99.600
99.792
99.892
99.930
99.964
99.982
99.992
99.998
Urbanwatersupply,conservation,transfers
anduse(106m3/yr)
Non-exceedence frequency of hydrologic year type (%)
Dry lawn
Leakage control
Toilet upgrade
A-U transfer
U-A transfer
Surface water supply
Urban water use
Urban water management decisions under normal surface
water availability scenario and base case water mgt
0
10
20
30
40
50
60
70
80 130 180 230 280 330
Urbanwateruse(106m3)
Surface water availability (106 m3)
Base NoCU
NoWT NWNC
Urban water uses under normal surface water availability
scenario
-30
-20
-10
0
10
20
30
88.0
97.7
107.1
116.3
125.5
134.8
144.1
153.5
162.9
172.2
181.6
191.1
200.6
210.1
219.4
228.8
238.1
247.7
256.8
266.8
276.4
285.4
294.1
304.0
314.7
WaterTransfer(06m3)
Surface water availability (106 m3)
(a) Normal
-40
-30
-20
-10
0
10
20
30
79.5
87.5
96.3
105.1
114.0
122.9
131.8
140.8
149.8
158.8
167.8
176.8
185.8
194.8
203.8
212.9
222.4
231.2
240.0
248.6
257.5
266.9
276.0
288.6
294.6
WaterTransfer(06m3)
Surface water availability (106 m3)
(b) Dry
-30
-20
-10
0
10
20
30
115.0
124.4
133.7
142.9
152.1
161.5
170.9
180.3
189.8
199.2
208.6
218.1
227.5
237.1
246.6
256.0
265.7
274.9
285.1
294.0
303.2
312.6
322.9
333.0
344.1
WaterTransfer(06m3)
Surface water availability (106 m3)
(c) Wet
Water transfer from agricultural sector to urban sector (A-U)
and visa verse (U-A)
-100
-50
0
50
100
150
200
88
98
107
116
126
135
144
154
163
172
182
191
201
210
219
229
238
248
257
267
276
285
294
304
315
Waterquantity(106m3)
Surface water availability (106 m3)
-100
-50
0
50
100
150
200
88
98
107
116
126
135
144
154
163
172
182
191
201
210
219
229
238
248
257
267
276
285
294
304
315
Waterquantity(106m3)
Surface water availability (106 m3)
Groundwater management in the base (a) and NoWT (b)
water management cases, under normal surface water
scenario
(a) Base
(b) NoWT
0
200
400
600
800
1000
1200
1400
1600
80 100 120 140 160 180 200 220 240 260 280 300 320 340
Marginalexpectedvalue(000$/106m3)
Surface water availability (106 m3)
Base
NoCU
NoWT
NWNC
0
200
400
600
800
1000
1200
1400
1600
80 100 120 140 160 180 200 220 240 260 280 300 320 340
Marginalexpectedvalue(000$/106m3)
Surface water availability (106 m3)
Base
NoCU
NoWT
NWNC
Marginal expected value of water in the agricultural district
and urban area for the four management cases under
normal surface water availability scenario
(a) Agricultural (b) Urban
0
200
400
600
800
1000
1200
1400
80 100 120 140 160 180 200 220 240 260 280 300 320 340
Marginalexpectedvalue(000$/106m3)
Surface water availability (106 m3)
(a) Agriculture
Normal
Dry
Wet
0
200
400
600
800
1000
1200
1400
1600
80 100 120 140 160 180 200 220 240 260 280 300 320 340
Marginalexpectedvalue(000$/106m3)
Surface water availability (106 m3)
(b) Urban
Normal
Dry
Wet
Marginal expected value of water in (a) the agricultural area
and (b) urban center under normal, dry and wet surface
water availability scenario, base case management
Inflow Management
Agricultural benefit Urban cost System net benefit
Perennial
crops Total
Permanent
conservation Total Value
Change from base
(%)
Normal Base 142.9 142.4 -2.0 -23.4 116.7 0.0
NoCU 118.4 119.8 -2.4 -24.6 93.1 -20.2
NoWT 143.0 144.0 -2.4 -45.1 98.9 -15.2
NWNC 109.9 111.6 -2.4 -45.1 66.5 -43.0
Dry Base 137.0 136.4 -2.4 -23.3 110.3 0.0
NoCU 110.1 111.3 -2.4 -25.1 83.6 -24.2
NoWT 141.4 142.1 -3.1 -50.7 91.4 -17.1
NWNC 102.9 104.6 -3.1 -50.7 53.8 -51.2
Wet Base 144.2 145.2 -0.4 -22.1 121.6 0.0
NoCU 137.2 138.7 -2.4 -24.0 113.6 -6.5
NoWT 144.2 145.6 -2.4 -34.4 111.2 -8.5
NWNC 127.9 129.6 -2.4 -34.4 95.2 -21.7
Benefit and Cost – Three Inflow Scenarios & Three
management Scenarios
Conclusions
 Urban and agricultural water users have significant
ability to adjust to imperfect water supply reliability
through various water conservation and crop
production decisions
 Water transfers provide local incentives to facilitate
coordinated urban and agricultural water
conservation and water transfers
 Conjunctive use and water transfer operations
complement each other and increase flexibility in
local water management facing uncertain surface
water supply

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Regional water management and marketing optimization

  • 1. Tingju Zhu1, Guilherme F. Marques2, Jay R. Lund3 Economic Optimization of Integrated Water Management and Transfers under Stochastic Surface Water Supply 1International Food Policy Research Institute, Washington, DC 2Universidade Federal do Rio Grande do Sul, Brazil 3Department of Civil and Environmental Engineering, University of California, Davis, CA World Environmental & Water Resources Congress 2013, Cincinnati, OH
  • 2. Sectors, Choices, and Decision-making Structure Perennial o Citrus o Grapes o Fruit nuts Annual  Cotton  Field crop  Truck crop  Alfalfa  Misc grain Long-term o Toilet o Dishwasher o Washing machine o Leakage o Xeriscaping Short-term  Toilet dam  Dry lawn  Dry shrub
  • 3. Quantifying Seasonal Flow Forecasting Skill                r KK r K r K r K rr r K rr ppp ppp ppp ,...,, ... ,...,, ,...,, 21 22221 11211 r P Seasonal Forecasting Model Historical weather data Seasonal forecasts / hindcast Observed flow data  Tf K ff ppp ,...,, 21f P  T K h ppp ,...,, 21P
  • 4. Formulation of Three-stage Stochastic Programming Problem max Z = - v=1 V å c1i × X1iv i=1 I å -cpc × IPC - IRv v=1 V å - pj f pjk r v=1 V å cR1i XL1ijkv i=1 I å + v=1 V å cR2l × XL2ljkv l=1 L å æ è ç ö ø ÷ k=1 K å æ è çç ö ø ÷÷ j=1 K å + pj f pjk r v=1 V å b1i XH1ijkv r - a1iv +0.5g1iv XH1ijkv r ( )XH1ijkv r ( )i=1 I å + v=1 V å b2l X2ljkv r - a2lv +0.5g2lv X2ljkv r ( )X2ljkv r ( )l=1 L å æ è ç ö ø ÷ k=1 K å æ è çç ö ø ÷÷ j=1 K å - cu1mY1m - pj pjk r cu2nY2njk n=1 N å k=1 K å æ è ç ö ø ÷ j=1 K å m=1 M å - pj f pjk r CWTjk +cr XRjk +cpWPjk( ) k=1 K å æ è ç ö ø ÷ j=1 K å Subject to a set of constraints D1: 1st stage decisions, being made only once at the beginning of the entire planning period, and are independent of any particular hydrological year types. D2: 2nd stage decisions, being made when seasonal forecasting becomes available. D3: 3rd stage decisions, being made when actual year type is known.
  • 5.                    J j jTjGj J j j J j j TCGCP gPgfPfZ 1 1 2j1211 1 2j1211 )()( ),()(),()(max YYYXXX jTGqW jjj  ,),( 2j1 XX jTqSD jjj  ,)1(),( 2j1 YY   jWGP J j jj  ,0),( 1 2j1 XX                             J j jj J j jjjj J j jjjj J j jTjGj J j j J j j WGPTqSD TGqWTCGCP gPgfPfL 1 2j1 1 2j1 1 2j1 1 1 2j1211 1 2j1211 ),()1(),( ),()()( ),()(),()( XXYY XX YYYXXX   Lagrangian Analytical Analysis of Two-Stage Water Transfer Problem - Formulation Constraints Objective
  • 6. i W P Wf P f J j j J j j J j j               , X ),( X ),( X ),( X )( 1 1i 2j1 1 1i 2j1 1 1i 2j12 1i 11 XXXXXXX  Equimarginal principle (1): Marginal benefit of growing permanent crop X1i equals MV of irrigation water increase minus the MV of overdrafting the portion of increased irrigation water use that percolates into the aquifer kj WGCW P f jG j j ,, X ),( G )( X ),( )1( X ),( 2jk 2j1 j2jk 2j1 2jk 2            XXXXXX 2j1    Equimarginal principle (2): Marginal benefit of growing annual crop X2jk in year type j equals the value of the portion of marginal applied water that does not percolate into aquifer plus the cost to pump the rest of marginal applied water that percolates into the aquifer, in year j. Analytical Analysis of Two-Stage Water Transfer Problem - Equimarginal principle
  • 7. i Y S Y g P Y g J j j J j j            , ),(),()( 1 1i 2j1 1 1i 2j12 1i 11 YYYYY      kj S PY g j j ,, Y ,, 2jk2jk 2       2j12j1 YYYY  Marginal cost of implementing a long-term conservation measure equals the value of water use reductions resulting from implementing the measure Marginal cost of implementing a short-term conservation measure k in year type j equals the value of water conserved from the marginal implementation j G GC P j jG j j     , )(   Marginal value of irrigation water in year type j equal the marginal cost of groundwater pumping or recharge in year type j plus the expected marginal value of groundwater overdraft 21 1 ,, )()( 2 2 2 2 1 11 jj G GC PG GC P j jG j j j jG j j         For any two different year types j1 and j2, the marginal value of irrigation water minus marginal cost of groundwater pumping or recharging in year type j1 should equal that in j2 Analytical Analysis of Two-Stage Water Transfer Problem - Equimarginal principle
  • 8. j T TC P j jT j jj      , )( Under economically optimal situation the difference between urban water shadow value and irrigation water shadow value in year type j should equal the marginal cost of water transfer. Analytical Analysis of Two-Stage Water Transfer Problem - Equimarginal principle
  • 9.                                                                        J j I i ijiRPjRjPjjTj M m J j J j N n njn M m mmjrjj N n njnjmm K k kjkjkkkjk J j I i ijijiiijijiiINI XLcXRcWPcWTUAWTAUcp YeYeDcpYcpYc XXXv XXXvpXIcZMax 1 1 1, 1 1 1 1 22 1 11 1 2211 1 222222 1 1 1111111, 2 1 2 1   jWTUAWTAUXRcapWPqXwXw jjjRjj K k kjk I i iji    , 1 22 1 11  jWTUAWTAUqYeYeD jjj N n njn M m mmj    ,)1( 1 22 1 11  jXwXwXRcapWPp h j L l kjk I i iijRjj                ,0 1 1 22 1 11 Stochastic mass conservation of groundwater aquifer Capacity constraints: Land, water, infrastructure Water balance in urban sector Water balance in ag sector Two-stage Programming Model Objective function
  • 10. Discrete probabilities of surface water availability for the normal, dry, and wet scenarios
  • 11. Base – Conjunctive use plus water transfers noWT – Conjunctive use without water transfers NoCU – Water transfers without conjunctive use NWNC – No conjunctive use plus no water transfers Inflow Scenario - Normal X X X X Inflow Scenario - Dry X X X X Inflow Scenario - Wet X X X X Hydrologic and Water Management Scenarios
  • 12. -200 -150 -100 -50 0 50 100 150 200 250 300 0.044 0.264 1.242 4.022 9.652 18.688 30.564 44.252 57.934 69.916 79.862 86.932 91.898 95.196 97.282 98.488 99.228 99.600 99.792 99.892 99.930 99.964 99.982 99.992 99.998 Agriculturalwatersupply,allocationanduse (106m3/yr) Non-exceedence frequency of hydrologic year type (%) U-A transfer A-U transfer Artificial recharge GW pumping Surface water supply Ag Use Agricultural water supply and optimal pumping, recharge, transfers and use decisions in various year types
  • 13. 0 2000 4000 6000 8000 10000 12000 14000 16000 Base noCU noWT NWNC Perennialcroparea(ha) Normal Dry Wet Perennial crop areas under various surface water availability and management scenarios
  • 14. 60 70 80 90 100 110 120 130 140 150 80 130 180 230 280 330Irrigationwateruse(106m3) Surface water availability (106 m3) Base NoCU NoWT NWNC 0 500 1000 1500 2000 2500 80 130 180 230 280 330 Annualcroparea(ha) Surface water availability (106 m3) Base NoCU NoWT NWNC Annual crop areas and water uses under normal surface water availability scenario
  • 15. -40 -20 0 20 40 60 80 100 0.044 0.264 1.242 4.022 9.652 18.688 30.564 44.252 57.934 69.916 79.862 86.932 91.898 95.196 97.282 98.488 99.228 99.600 99.792 99.892 99.930 99.964 99.982 99.992 99.998 Urbanwatersupply,conservation,transfers anduse(106m3/yr) Non-exceedence frequency of hydrologic year type (%) Dry lawn Leakage control Toilet upgrade A-U transfer U-A transfer Surface water supply Urban water use Urban water management decisions under normal surface water availability scenario and base case water mgt
  • 16. 0 10 20 30 40 50 60 70 80 130 180 230 280 330 Urbanwateruse(106m3) Surface water availability (106 m3) Base NoCU NoWT NWNC Urban water uses under normal surface water availability scenario
  • 17. -30 -20 -10 0 10 20 30 88.0 97.7 107.1 116.3 125.5 134.8 144.1 153.5 162.9 172.2 181.6 191.1 200.6 210.1 219.4 228.8 238.1 247.7 256.8 266.8 276.4 285.4 294.1 304.0 314.7 WaterTransfer(06m3) Surface water availability (106 m3) (a) Normal -40 -30 -20 -10 0 10 20 30 79.5 87.5 96.3 105.1 114.0 122.9 131.8 140.8 149.8 158.8 167.8 176.8 185.8 194.8 203.8 212.9 222.4 231.2 240.0 248.6 257.5 266.9 276.0 288.6 294.6 WaterTransfer(06m3) Surface water availability (106 m3) (b) Dry -30 -20 -10 0 10 20 30 115.0 124.4 133.7 142.9 152.1 161.5 170.9 180.3 189.8 199.2 208.6 218.1 227.5 237.1 246.6 256.0 265.7 274.9 285.1 294.0 303.2 312.6 322.9 333.0 344.1 WaterTransfer(06m3) Surface water availability (106 m3) (c) Wet Water transfer from agricultural sector to urban sector (A-U) and visa verse (U-A)
  • 18. -100 -50 0 50 100 150 200 88 98 107 116 126 135 144 154 163 172 182 191 201 210 219 229 238 248 257 267 276 285 294 304 315 Waterquantity(106m3) Surface water availability (106 m3) -100 -50 0 50 100 150 200 88 98 107 116 126 135 144 154 163 172 182 191 201 210 219 229 238 248 257 267 276 285 294 304 315 Waterquantity(106m3) Surface water availability (106 m3) Groundwater management in the base (a) and NoWT (b) water management cases, under normal surface water scenario (a) Base (b) NoWT
  • 19. 0 200 400 600 800 1000 1200 1400 1600 80 100 120 140 160 180 200 220 240 260 280 300 320 340 Marginalexpectedvalue(000$/106m3) Surface water availability (106 m3) Base NoCU NoWT NWNC 0 200 400 600 800 1000 1200 1400 1600 80 100 120 140 160 180 200 220 240 260 280 300 320 340 Marginalexpectedvalue(000$/106m3) Surface water availability (106 m3) Base NoCU NoWT NWNC Marginal expected value of water in the agricultural district and urban area for the four management cases under normal surface water availability scenario (a) Agricultural (b) Urban
  • 20. 0 200 400 600 800 1000 1200 1400 80 100 120 140 160 180 200 220 240 260 280 300 320 340 Marginalexpectedvalue(000$/106m3) Surface water availability (106 m3) (a) Agriculture Normal Dry Wet 0 200 400 600 800 1000 1200 1400 1600 80 100 120 140 160 180 200 220 240 260 280 300 320 340 Marginalexpectedvalue(000$/106m3) Surface water availability (106 m3) (b) Urban Normal Dry Wet Marginal expected value of water in (a) the agricultural area and (b) urban center under normal, dry and wet surface water availability scenario, base case management
  • 21. Inflow Management Agricultural benefit Urban cost System net benefit Perennial crops Total Permanent conservation Total Value Change from base (%) Normal Base 142.9 142.4 -2.0 -23.4 116.7 0.0 NoCU 118.4 119.8 -2.4 -24.6 93.1 -20.2 NoWT 143.0 144.0 -2.4 -45.1 98.9 -15.2 NWNC 109.9 111.6 -2.4 -45.1 66.5 -43.0 Dry Base 137.0 136.4 -2.4 -23.3 110.3 0.0 NoCU 110.1 111.3 -2.4 -25.1 83.6 -24.2 NoWT 141.4 142.1 -3.1 -50.7 91.4 -17.1 NWNC 102.9 104.6 -3.1 -50.7 53.8 -51.2 Wet Base 144.2 145.2 -0.4 -22.1 121.6 0.0 NoCU 137.2 138.7 -2.4 -24.0 113.6 -6.5 NoWT 144.2 145.6 -2.4 -34.4 111.2 -8.5 NWNC 127.9 129.6 -2.4 -34.4 95.2 -21.7 Benefit and Cost – Three Inflow Scenarios & Three management Scenarios
  • 22. Conclusions  Urban and agricultural water users have significant ability to adjust to imperfect water supply reliability through various water conservation and crop production decisions  Water transfers provide local incentives to facilitate coordinated urban and agricultural water conservation and water transfers  Conjunctive use and water transfer operations complement each other and increase flexibility in local water management facing uncertain surface water supply