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routi ng GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding of historical changes in river flow due to land use change

Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

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Page 1: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

routing

GenRiver 1.0Distributed process-based model

spatial scale: 1-1000 ha,temporal scale: daily

Can be used as a tool to explore our understanding of historical changes in river flow due to land use change

Page 2: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

stem-flow

through-fall

rainfall cloudinterception

lateral

outflow

percolation

rechargeinfiltration

surfaceevaporation

transpiration

canopy waterevaporation

uptake

baseflow

{

surface run-on

sub-surfacelateral

inflow

surface run-off

Quick flow

Trees

Soil

Hydrological functions of forest:

Landscape drainage

?

Page 3: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

PES

RegulationSpatial planning

‘Permanent’ site characteristics Upland land use

Watershedfunctions

Downstream water users & stakeholders

Riverbed engineering

poverty

poverty

poverty

poverty

Page 4: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Watershedfunctions

1. Transmit water

2. Buffer peak rain events

3. Release gradually

4. Maintain quality

5. Reduce mass wasting

Site cha- racteristics

• Rainfall

• Land form

• Soil type• Rooting

depth (natural vegetation)

Relevantfor

• Downstream water users,

• esp. living in floodplains & river beds,

• esp. without storage

• or purification• at foot of slope

Page 5: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

stem-flow

through-fall

rainfall cloudinterception

lateral

outflow

percolation

recharge

infiltration

surfaceevaporation

transpiration

canopy waterevaporation

uptake

quick-flow

baseflow

{

surfacerun-on

sub-surfacelateral

inflow

surfacerun-off

Stream:

GenRiver 1.0a simple model that translates a plot-level water balance to landscape level river flow

Land cover influences:

* evapotranspiration -> water yield (immediate)

* infiltration (medium term ~ soil type)

Page 6: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

5. Gradual release to streams through deep soil pathways

2. Overland flow into streams: quickflow

4. Uptake by plants for transpiration (+ soil evaporation)

14

2

3

5

Unit hydrograph – what happens to an ‘average’ drop of rainfall?

Page 7: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

The core of the model :

Patch level represent daily water balance, driven by local rain rainfall and modified by land cover and soil properties of the patch

Page 8: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

The patch can contribute to three types of stream flow :

1. Surface quick flow – on the day of rain event

2. Soil quick flow – on the next day after rain event

3. Base flow – via gradual release of groundwater

Page 9: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

5. Gradual release to streams through deep soil pathways

2. Overland flow into streams: quickflow

4. Uptake by plants for transpiration (+ soil evaporation)

14

2

3

5

Unit hydrograph – what happens to an ‘average’ drop of rainfall?

Page 10: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

1. Interception & evaporation from wet surfaces 1

Step 1 – canopy interception

Rainfall per event, mm

Water storage on leaf sur- faces, mm

Capacity limitedThr

ough

fall

prob

abili

ty1:1

Current LAI

Waterfilm thickness

Will evaporate within a day

=Cap*(1-EXP(-Rain/Cap))

Calder (2004) HYLUC

Page 11: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

1. Interception & evaporation from wet surfaces

2. Overland flow into streams: quickflow

1

2

Step 2 – Lack of Infiltration => overland flow

Two conditions lead to overland flow:

•Surface infiltrability less than required during storm (‘Hortonian’ overland flow, ‘sealing’ of the surface’); slope, surface roughness and rainfall intensity determine the time available for infiltration

•Saturation-limited: surface soil layers are saturated and rate of outflow determines possible rate of inflow

Rain duration,Can.Interc.DelaySurface staorage,

Slope SoilSat - Actual

PotInfRate

Page 12: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

2. Overland flow into streams: quickflow 1

2

3

Step 3 – Soil quickflow: drain towards ‘field capacity’

SoilQuickFlow: Max(0,Soil- FieldCap)

Saturation

SaturationGW store

Percolation Fraction

GW release Fraction Baseflow

FC

‘Two-tank model’

RootZone store

Page 13: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

2. Overland flow into streams: quickflow

4. Uptake by plants for transpiration (+ soil evaporation)

14

2

3

Step 4 – Plant uptake and transpitation

(Epot – IntercEff * Einterc) * W_avail

1.0

0

Soil water content

FC*DroughtFactor(VegType)

PWPEnergy driven,

e.g.Penman

Evaporation of intercepted water reduces transp.

demand

Page 14: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

5. Gradual release to streams through deep soil pathways

2. Overland flow into streams: quickflow

4. Uptake by plants for trans-piration (+ soil evaporation)

14

2

3

5

Step 5 – Percolation to streams as ‘slow flow’

SaturationPercolation Fraction

GW release Fraction Baseflow

GW store

RootZone store

Page 15: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’

1. Interception & evaporation from wet surfaces

5. Gradual release to streams through deep soil pathways

2. Overland flow into streams: quickflow

4. Uptake by plants for transpiration (+ soil evaporation)

14

2

3

5

Unit hydrograph – what happens to an ‘average’ drop of rainfall?

Page 16: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Topology of stream network: distances to array of observation points

Obs point 1 2 3 4 5

SubA 15 -1 -1 7 .

SubB 16 -1 -1 8 .

SubC 14 8 2 -1 .

SubD 8 1 -1 -1 .

…..

F

G

D

C

E

BA

1

2

3 4

Page 17: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Inherentinterception &

water useproperties

Rai

nfal

l per

day

pe

r su

bcat

chm

ent

Potentially: surface infiltration properties per landcover type as a function of time (LU change per subcatchment)

Subcatchments

Tim

e

Inherent properties: - soil and groundwater storage capacity, - soil drainage & GW release fraction- routing time from stream to river monitoring point

Array dimensions in the model

Page 18: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Excel

GenRiver.xls :

1. Rain & Debit data (daily)

2. Land cover

3. Subcatchment info

Page 19: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Stella

GenRiver.stm

Model sector

Page 20: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Stella

GenRiver.stm

GenRiver.stm Input section

Page 21: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Stella

GenRiver.stm

GenRiver.stm Patch level water

balance

Page 22: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Stella

GenRiver.stm

GenRiver.stm River flow

Page 23: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Default run of GenRiver 1.0measured predicted

Page 24: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

measured predicted

When seen over a long time series, both under- and over-estimates occur in dry periods, but the model tends to exaggerate

peaks

Page 25: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

The model is in the ‘right range’ but underestimates flows in dry periods and exaggerates peaks

measured predicted

Page 26: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Model implementation in Stella

GenRiver.stm

GenRiver.stm Output sector

Page 27: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

GenRiver application in Sumberjaya - Indonesia

Using 2 time series of land cover fractions :

Year 3(%) Year 20(%)

Forest 58 14

Cropland 22 11

Coffee 12 70

Explore the effect of land cover &

spatial pattern for rainfall on river flow

Page 28: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Cumulative water balance

Page 29: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

River flow using Pathcy & Homogenous rain

Patchy year 3 Patchy year 20

Hm year 3 Hm year 20

Page 30: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

SpatRain.xls

SpatRain.exe

WShedInd.xlsGenRiver.stm

What we offer

Input dataOutput -

hydrographs

Criteria & indicators of watershed functions

Participants Expectations?

Climate, soil, scale, land use

Page 31: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

0

5

10

15

20

25

30

0 50 100 150Rainfall (3 stations), mm day-1

Riv

er f

low

, mm

day

-11975-1981

1982-1988

1990-1998

Page 32: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

y = 0.02x + 0.85

y = -0.19x + 0.53

R2 = 0.01

0.10.2

0.30.4

0.50.6

0.70.8

0.91.0

0.35 0.45 0.55 0.65 0.75 0.85

Total Water Yield Fraction

Ind

ica

tors

y = -0.33x + 0.99

R2 = 0.46

y = 0.02x + 0.65

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

0.35 0.45 0.55 0.65 0.75 0.85Total Water Yield Fraction

Ind

ica

tors

Relative buffering

Buffering

Buffering Peak Events

Lowest Monthly Flow

Page 33: Routing GenRiver 1.0 Distributed process-based model spatial scale: 1-1000 ha,temporal scale: daily Can be used as a tool to explore our understanding

Simulation results: current ‘MixedLU’ situation not much different from ‘forest’, but for a ‘Degraded soil’

buffering would be much lessHomogenous Rain

0

5

10

15

20

25

0 20 40 60 80 100Rain exeedance, mm day -1

Riv

erf

low

ex

ee

da

nc

e,

mm

da

y -

1

AllForest MixedLU AllGrass MixedLU(Act)

Patchy Rain

0

5

10

15

20

25

0 20 40 60 80 100Rain exeedance, mm day -1

Riv

erfl

ow

exe

edan

ce,

mm

day

-1

AllForest MixedLU AllGrass MixedLU(Act)

Homogenous rain Patchy rain

currentDegraded soil

currentDegraded soil