Hydrological modeling in a changing environment Current-state vs. future-state

advertisement

SoCoCA workshop

19-20/3-2013

Hydrological modeling in a changing environment

Current-state vs. future-state

Chong-Yu Xu

Department of Geosciences, UiO

Changing environment

Change of Climate

Climate Variability

Climate Change (human influence)

Change in catchment characteristics

Natural variation

Human induced changes

Land use/land cover changes

• urbanization

Dams, reservoirs

To distinguish natural variation and climate change needs very long data

Hydrological impact of climate change

Nonstationarity of first moment

Trend

Changing point

Nonstationarity of higher moments

– CV 、 Cs 、 r, r

, etc

Change in frequency and return period,

– Change in probability distribution

Nonstationarity of relationships

Rainfall-runoff relationship

Relations among other variables

Hydrological impact of climate change

Nonstationarity of first moment

Trend

Changing point

Nonstationarity of higher moments

– CV 、 Cs 、 r, r

, etc

Change in frequency and return period,

– Change in probability distribution

Nonstationarity of relationships

Rainfall-runoff relationship

Relations among other variables

• Water resources assessment

• Hydrological design

• Extremes

• Hydrological modeling

Example: Nonstationary rainfall-runoff relationship

Double-mass curves 1956-2005. Unit: 10 3 mm Zhang et al., 2011

Enhanced research on:

• Improving the theoretical/physical understanding of the causes by internal force and external force

– Natural variability? Global warming? Human activity?

– …

• Understanding of the behaviour of Non-stationarity

– Non-stationarity in the mean? CV? CS?

– Non-stationarity in the individual processes ?

– Non-stationary relationship between hydrological processes can tell more story about what is happening

• Methodological advancing for identification and quantification

– Non-stationarity is more than Mann-Kendall method can handle

– …

Hydrological modeling – past, present and future

History of hydrological modeling

Theory (physics) Hydrological models Groundwater models

1800

1900

1950

1960

1970

1980

1990

Chezy formula, 1749

Dalton equation, 1802

Darcy, 1856

Saint-Venant, 1871

Manning,1891

Green-Ampt,1911

Richards, 1931

Horton, 1933

Philip, 1954

Rational model, 1850

Sherman, 1932

Unit hydrograph

Nash , Dooge linear& cascade reservoir

Lumped conceptual

Time-series modeling

Phyiscally-based, distributed

Large scale WBM ,

Land-surface model

Darcy equation, 1856

Dupuit equation , 1863

Boussinesq equ.

, 1877

Slichter ( Laplace),1889

Meizner equation , 1923

Theis equation , 1935

Jacob equation , 1940

Hubbert equation , 1956

Neuman finite-diff , 1969

Jacob Bear Dynamics of fluids in porous media ,

1972

MODFLOW , 1975

Interaction of S-W model

General structure of large scale distributed models

Q

Translation

Attenuation Excess rainfall

Transfer function runoff

Unit hydrograph

Input

P

Runoff generation

Excess rainfall

Unit hydrograph

Grid

Runoff

Flow routing

Stream

T

The global and regional-scale WASMOD

Catchment hydrological model:

WASMOD

Large-scale hydrological model:

WASMOD-M

(Xu, 1992)

(Li et al., 2013; Gong et al., 2009,

2011; Widen-Nilsson et al., 2007,

2009)

(from Gong et al, 2009)

(from: Xu et al., 2002)

Applications of Hydrological modeling Method

• Gauged, stationary

Gap filling, record extension, forecasting

Split-sample test

Applications of Hydrological modeling Method

• Gauged, stationary

Gap filling, record extension, forecasting

• Impact of climate change and land use change

Non-stationary in time

Regional and global modeling

Ungauged region

Heterogeneity in space

Coupling with climate model

Spatial-time scale mismatch

Split-sample test

Applications of Hydrological modeling Method

• Gauged, stationary

Gap filling, record extension, forecasting

• Impact of climate change and land use change

Non-stationary in time

Regional and global modeling

Ungauged region

Heterogeneity in space

Coupling with climate model

Spatial-time scale mismatch

Split-sample test

?

?

?

Current-state (1)

Up to two decades ago, single models were used to predict hydrological impact of climate change scenarios

Examples of results

Xu, 1991. Water resources Management

Examples of results

Xu, 1991. Water resources Management

Current-state (2)

During the last two decades, hydrologists realized that there are large uncertainties in using hydrological models to predict climate change impact due to 3 reasons:

1.

Transferability of model parameters and structure across time ?

2.

Transferability of model parameters and structure across space ?

3.

Transferability of model parameters and structure across scale ?

Example:

Parameter values change with time period!

Which parameter set shall we use?

Merz, Parajka, Blöschl, 2011, Water Resources Research

Example:

Example:

Future water resources depend on model or climate?

Jiang, Chen, Xu, 2007 Journal of Hydrology

Example:

Future water resources depend on model or climate?

Jiang, Chen, Xu, 2007.

Journal of Hydrology

Model validation/verification

Climate

Catchment

Gauged

Stationary condition

Nonstationary conditions

Split-sample test Differential splitsample test

Un-gauged Proxy-basin test Proxy-basin differential splitsample test

Klemes, 1986

Ability of WASMOD in simulating climate change impact

Non-stationary climate conditions

Xu, 1999. Agricultural and Forest Meteorology

Stability of parameter values with time

Xu, 1999. Agricultural and Forest Meteorology

Results of proxy-basin differential split-sample test

Xu, 1999. Agricultural and Forest Meteorology

Mean annual Runoff and change

(2010-2029 vs 1990-2009)

10

E 20

WFD

E 30

E 40

E

10

S

10

RegCM4 R1

E 20

E 30 E 40

E

10

S

10

10

10

S

S

RegCM4 R2

E

E

30

30

E

E 40

E

40

E

20

S

30

S

20

S

30

S

20

S

S

30

S

30

S

0 100 200 300 400 >500 mm yr

-1

0 100 200 300 400 >500 mm yr

-1 mm yr

%

-1

Mean annual

(2010-2029)

10

E

10

S

Runoff RegCM4 R2

20

E 30

E

40

E

20

S

30

S

<-100-75 -50 -25 0 25 50 75 >100

% relative change

Li et al., SoCoCA

Case 1

Mean monthly change

2010-2029 vs 1990-2009

Runoff ET

Case 1

160

140

120

100

80

60

40

20

0

TRMM

WFD

1 2 3 4 5 6 7

Month

8 9 10 11 12

Li et al., SoCoCA

Can we Couple hydrological models

With climate models?

Theoretically yes,

In practices, no

29

Theoretical Base

Water balance

Energy balance

Radiation budget

Example:

Parameter values change with time step (scale)!

How can we couple it with climate model that run in a time step of 15min?

Littlewood et al. 2008

Conclusion?

1. More research is needed towards the transferability of hydrological models across time, scale, and space!

2. As above!

3.

Thank you

Takk

Download