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(1)

Trends in hydrologic time series and the climate

change. Some of the Portuguese experience

Maria Manuela Portela

João F. Santos; António de Carvalho Quintela; Cristiana Vaz

IST, Technical University of Lisbon, Portugal,

mps@civil.ist.ult.pt

1. Background

2. Models applied

3. Results

(2)

Nowadays it is often mentioned that the Earth is already suffering the

climate change

effects: it is no longer a matter of future climate

scenarios

but

instead

of

frequent

abnormal

climate

occurrences.

(3)

Nowadays it is often mentioned that the Earth is already suffering the climate

change effects: it is no longer a matter of future climate scenarios but instead of

frequent abnormal climate occurrences

.

But

if changes are already happening then they should be

embedded

in some of the

hydrologic time series

, with

emphasis to those series more closely related to the weather, as the

rainfall series

.

(4)

Nowadays it is often mentioned that the Earth is already suffering the climate

change effects: it is no longer a matter of future climate scenarios but instead of

frequent abnormal climate occurrences.

But

if changes are already happening then they should be embedded in some

of the hydrologic time series, with emphasis to those series more closely related

to the weather, as the rainfall series.

In the previous scope some studies were carried out aiming at

identifying trends in long Portuguese hydrologic time

series

and at

relating such trends with the climate change

issue

.

(5)

Nowadays it is often mentioned that the Earth is already suffering the climate

change effects: it is no longer a matter of future climate scenarios but instead of

frequent abnormal climate occurrences.

But

if changes are already happening than they should be embedded in some

of the hydrologic time series, with emphasis to those series more closely related

to the weather, as the rainfall series.

carried out aiming at identifying trends in long Portuguese hydrologic time series

and at relating such trends with the climate change issue.

In this communication some of the

models

applied as well as some

of the

results

thus achieved are briefly mentioned.

(6)

essentially

aimed to detect

trends significant

from a

statistical point of view

models of statistical nature.

(7)

essentially

aimed to detect trends significant from a statistical point of

view

models of statistical nature.

The most frequent one

moving average technique.

(8)

essentially

aimed to detect trends significant from a statistical point of

view

models of statistical nature.

The most frequent one

moving average technique.

For an annual series with length N, the

moving average with

length n

is formed by the averages over the

N-n+1 subsets of

n consecutive years each

into which the original series is split

(with N> n).

1

2

...

n

n+1 n+2

...

N-n

...

...

N-1

N

Year

First subset

N-n+1 subset

(9)

Another technique utilized the

statistical comparison

of the

averages of consecutive pairs of cumulative moving

averages

.

(10)

Another technique utilized the statistical comparison of the averages of

consecutive pairs of cumulative moving averages.

Each time series with length N was split into two series, one built

upon the first n elements

anterior subset

and the other built

upon the last N - n elements

posterior subset

.

anterior subsets

posterior subsets

1

2

...

n

n+1 n+2

...

N-n

...

...

N-1

N

Year

N-2n+1 paired subsets

First paired subsets

(11)

Another technique utilized the statistical comparison of the averages of

consecutive pairs of cumulative moving averages.

Each time series with length N was split into two series, one built upon the first n

elements

anterior subset

and the other built upon the last N n elements

posterior subset.

The

averages

of each two of such subsets were

compared in

statistical terms

, by applying the

Student parametric test

and

the

Mann-Whitney nonparametric test

.

anterior subsets

posterior subsets

1

2

...

n

n+1 n+2

...

N-n

...

...

N-1

N

Year

N-2n+1 paired subsets

First paired subsets

(12)

Another technique utilized the statistical comparison of the averages of

consecutive pairs of cumulative moving averages.

Each time series with length N iwas split into two series, one built upon the first

n elements

anterior subset

and the other built upon the last N n elements

posterior subset.

The averages of each two of such subsets were compared in statistical terms, by

applying the Student parametric test and the Mann-Whitney nonparametric test.

A trend

occurs whenever the

two averages

under comparison

are

persistently different

(

in statistical terms).

anterior subsets

posterior subsets

1

2

...

n n+1 n+2

...

N-n

... ...

N-1

N

Year

N-2n+1 paired subsets

First paired subsets

(13)

… results

First set of results (2001)

Trend detection in rainfall

series

in

11 Portuguese rain

gages

Annual

and

monthly

series and

series in the

first

and in the

second quarters

of the

hydrologic year (in Portugal, from

October 1

st

to September 30

th

)

Spain

At

la

nt

ic

O

c

e

a

n

9

1

10

8

2

5

4

6

7

3

11

38º 42º

(14)

Spain At la nt ic O c e a n 9 1 10 8 2 5 4 6 7 3 11 38º 42º

40º

0.4

0.6

0.8

1.0

1.2

1.4

1878

1898

1918

1938

1958

1978

Non-dimension 15-year moving average (-)

… first set of results

Year

March

1

st

quarter

2

nd

quarter

(15)

Spain At la nt ic O c e a n 9 1 10 8 2 5 4 6 7 3 11 38º 42º

40º

0.4

0.6

0.8

1.0

1.2

1.4

1878

1898

1918

1938

1958

1978

Non-dimension 15-year moving average (-)

Year

March

1

st

quarter

2

nd

quarter

A notorious downwards

trend in March

10

Torre de Moncorvo (1878/79 - 1994/95)

(16)

1892

1907

1922

1937

1952

1967

Year

1

st

quarter

2

nd

quarter

March

Year

March

1

st

quarter

2

nd

quarter

Persistent non-homogeneity in March

denoting a trend

( … downwards)

10

Torre de Moncorvo (1878/79 - 1994/95)

Spain At la nt ic O c e a n 9 1 10 8 2 5 4 6 7 3 11 38º 42º

40º

(17)

The 11 rain gages exhibit a

notorious

decrease

of the rainfall

in

March

.

Spain

At

la

nt

ic

O

c

e

a

n

9

1

10

8

2

5

4

6

7

3

11

38º 42º

40º

(18)

The 11 rain gages exhibit a

notorious decrease

of the rainfall

in

March

.

In

annual terms

, the last periods of

15 years

were often

slightly drier

then the total recording periods.

Spain

At

la

nt

ic

O

c

e

a

n

9

1

10

8

2

5

4

6

7

3

11

38º 42º

40º

(19)

The 11 rain gages exhibit a

notorious decrease

of the rainfall

in

March

.

In

annual terms

, the last periods of

15 years

were often

slightly drier

then the total recording periods.

However, the

slight decrease of

the annual rainfall is within the

natural variability

of the series

and, from a statistical point of view,

it

can not be considered a

trend.

Spain

At

la

nt

ic

O

c

e

a

n

9

1

10

8

2

5

4

6

7

3

11

38º 42º

40º

(20)

… results

Extensive trend detection in annual

and monthly rainfall series

(2008)

Mann-Kendall test

combined with the

Sen slope estimator

applied to

94

years of monthly and annual rainfall

(from October 1910 to September 2004) in

144 Portuguese rain gages

(21)

… in the next figures and for each time

interval (month or year) ….

statistically significant yearly variation

of the rainfall expressed in percentage

of the respective mean rainfall

(% per year)

increase

(22)
(23)

June July August September

… for each time interval ….

yearly variation of the

rainfall expressed in

percentage of the

respective mean rainfall

(% per year)

increase

(24)

Most of the rainfall changes are

spatially

quite

circumscript

and

almost

neglectable

.

… 144 annual and monthly rainfall series

(25)

March

Most of the rainfall changes are

spatially

quite

circumscript

and

almost

neglectable

.

Only the

rainfall in March

exhibits a

very

pronounced

and

widespread

downward trend

.

(26)

Most of the rainfall changes are

spatially

quite

circumscript

and

almost

neglectable

.

Only the

rainfall in March

exhibits a

very

pronounced

and

widespread

downward trend

.

However, except for a small region in the

North of Portugal, the

rainfall in March

is always smaller than 150 mm

which means that a maximum annual

decrease according to the Sen estimator

of about 1.3% will represent a

decrease

of the annual amount of rainfall in March

of only

2 mm.

… 144 annual and monthly rainfall series

(27)

… results

Analysis of the extreme

rainfall (2008)

… based on application of the

Gumbel law

to

24

samples of

annual maximum daily

rainfall

(… built upon one value per year,

the maximum amount of rainfall

in 24 h)

… results exemplified by 3 rain gages …

Vinhais

Pernes

(28)

… extreme rainfall series

Gumbel probability

distribution function

based on the

first 5 sets of

25 consecutive years

dark blue to light blue curves

and on the

last 5 sets of

25 consecutive years

yellow to brown curves.

Vinhais

(north)

Pernes

(center)

Serpa

(south)

0 1 2

0.01 0.2 0.5 0.8 0.95 0.99 F

0 1 2

-3 -2 -1 0 1 2 3

Pamd/(Pamd)

average

0.01 0.2 0.5 0.8 0.95 0.99 F

0 1 2 3

(29)

… extreme rainfall series

Vinhais (north)

Last 5 sets of 25

consecutive years

First 5 sets of 25

consecutive years

0

1

2

Pamd/(Pamd)

average

0.01 0.2 0.5 0.8 0.95 0.99 F

For the return periods more often adopted as design criteria, generally

higher than 100 years (F=0.99), the

more recent samples result in

(30)

0

1

2

3

-3

-2

-1

0

1

2

3

Pamd/(Pamd)average

0.01 0.2 0.5 0.8 0.95 0.99 F

… extreme rainfall series

Serpa (south)

Last 5 sets of 25

consecutive years

First 5 sets of 25

consecutive years

For the return periods more often adopted as design criteria, generally

higher than 100 years (F=0.99), the

more recent samples result in

(31)

for

Vinhais

gage

(north)

the estimates

based on the latest records are not as high as

those supported by the oldest records. The

opposite situation occurs in

Serpa

gage

(south)

while in

Pernes

gage

(center)

both

estimates are very close.

… extreme rainfall series

Vinhais

Pernes

(32)

for

Vinhais

gage

(north)

the estimates

based on the latest records are not as high as

those supported by the oldest records. The

opposite situation occurs in

Serpa

gage

(south)

while in

Pernes

gage

(center)

both

estimates are very close.

So,

different sampling periods

need to be

analyzed in order to ensure

conservative

design criteria

.

… extreme rainfall series

Vinhais

Pernes

(33)

for

Vinhais

gage

(north)

the estimates

based on the latest records are not as high as

those supported by the oldest records. The

opposite situation occurs in

Serpa

gage

(south)

while in

Pernes

gage

(center)

both

estimates are very close.

So,

different sampling periods

need to be

analyzed in order to ensure

conservative

design criteria

.

… extreme rainfall series

Vinhais

Pernes

Serpa

The behaviour of the

extreme rainfall series

may

refuse

(like

in Vinhais or even in Pernes) or

confirm

(like in Serpa) the

upward trend

that is generally pointed out as denoting the

(34)

… results

Reliability of the water

supplies for irrigation

based on 10 hypothetical

(35)

Due to the

temporal irregularity

that characterizes the

Portuguese hydrologic regime

, most of the water supplies

are ensured by

artificial reservoirs

, a significant part of them

having been built more than 50 years ago.

(36)

Due to the

temporal irregularity

that characterizes the

Portuguese hydrologic regime

, most of the water supplies

are ensured by

artificial reservoirs

, a significant part of them

having been built more than 50 years ago

.

(

a question arises

) If the

climate is changing

are those

old reservoirs still able to

ensure the water supplies

(in

terms of

quantity

and

guaranty/reliability

)?

(37)

Due to the

temporal irregularity

that characterizes the

Portuguese hydrologic regime

, most of the water supplies

are ensured by

artificial reservoirs

, a significant part of them

having been built more than 50 years ago.

(

a question arises

) If the

climate is changing

are those

old reservoirs still able to

ensure the water supplies

(in

terms of

quantity

and

guaranty/reliability

)?

This aspect is especially relevant for

irrigation reservoirs

as

both the

crop demand

and the

natural water availability

may be influenced by the effects expected from the

climate

change

.

(38)

Results achieved by

computational

simulation techniques

applied

to

10

hypothetical

irrigation

reservoirs,

based on

94 years of

monthly inflows and of crop

requirements.

(39)

… reliability of the water supplies

30

50

70

30

50

70

Vinhais-Qta

da Ranca

+

-

-

-

+

-

-Castro Daire

-

+

+

+

+

+

+

Cabriz

-

-

-

-

+

-

-Vale

Giestoso

+

-

-

-

-

-

-Cunhas

-

+

+

+

+

+

+

Centre

Couto de

Andreiros

-

+

+

+

+

+

+

Torrão do

Alentejo

-

+

+

+

+

+

+

Albernoa

+

+

+

+

+

+

+

Monte da

Ponte

+

+

+

+

+

+

+

Vascão

+

-

-

+

-

-

+

CASE

STYDY

TREND IN

THE MEAN

ANNUAL

FLOW

N

o

rth

S

o

u

th

TREND IN THE STORAGE CAPACITY

WATER DEMAND (% of mean annual inflow)

GUARANTY

(40)

… results

30 50 70 30 50 70

Vinhais-Qta

da Ranca

+

-

-

-

-

-Castro Daire

Cabriz

-

-

-

-

-Vale

Giestoso

+

-

-

-

-

-

-Cunhas

Centre Couto de Andreiros Torrão do

Alentejo

Albernoa

+

Monte da

Ponte

+

Vascão

+

-

-

-

-N o rth S o u th CASE STYDY TREND IN THE MEAN ANNUAL FLOW

TREND IN THE STORAGE CAPACITY

WATER DEMAND (% of mean annual inflow)

GUARANTY

80% 90%

Blue

arrows:

more water availability

and/or

less water

storage needed

to fulfill the same demand,

contradicting

the

(41)

… results

30 50 70 30 50 70

Vinhais-Qta

da Ranca

+

-

-

-

-

-Castro Daire

Cabriz

-

-

-

-

-Vale

Giestoso

+

-

-

-

-

-

-Cunhas

Centre Couto de Andreiros Torrão do

Alentejo

Albernoa

+

Monte da

Ponte

+

Vascão

+

-

-

-

-N o rth S o u th CASE STYDY TREND IN THE MEAN ANNUAL FLOW

TREND IN THE STORAGE CAPACITY

WATER DEMAND (% of mean annual inflow)

GUARANTY

80% 90%

Blue

arrows:

more water availability

and/or

less water

storage needed

to fulfill the same demand,

contradicting

the

(42)

30 50 70 30 50 70

Vinhais-Qta

da Ranca

+

Castro Daire

-

+

+

+

+

+

+

Cabriz

-

+

Vale Giestoso

Cunhas

-

+

+

+

+

+

+

Centre Couto de

Andreiros

-

+

+

+

+

+

+

Torrão do

Alentejo

-

+

+

+

+

+

+

Albernoa

+

+

+

+

+

+

Monte da

Ponte

+

+

+

+

+

+

Vascão

+

+

WATER DEMAND (% of mean annual inflow)

GUARANTY 80% 90% CASE STYDY TREND IN THE MEAN ANNUAL FLOW N o rth S o u th

… results

Red

arrows:

less water availability

and/or

more water

storage needed

to fulfill the same demand

, confirming

the

(43)

30 50 70 30 50 70

Vinhais-Qta

da Ranca

+

Castro Daire

-

+

+

+

+

+

+

Cabriz

-

+

Vale Giestoso

Cunhas

-

+

+

+

+

+

+

Centre Couto de

Andreiros

-

+

+

+

+

+

+

Torrão do

Alentejo

-

+

+

+

+

+

+

Albernoa

+

+

+

+

+

+

Monte da

Ponte

+

+

+

+

+

+

Vascão

+

+

WATER DEMAND (% of mean annual inflow)

GUARANTY 80% 90% CASE STYDY TREND IN THE MEAN ANNUAL FLOW N o rth S o u th

… results

Red

arrows:

less water availability

and/or

more water

storage needed

to fulfill the same demand

, confirming

the

(44)

30 50 70 30 50 70 Vinhais-Qta

da Ranca + - - - + - -Castro Daire - + + + + + +

Cabriz - - - - + -

-Vale

Giestoso + - - - - - -Cunhas - + + + + + +

Centre AndreirosCouto de - + + + + + +

Torrão do

Alentejo - + + + + + + Albernoa + + + + + + +

Monte da

Ponte + + + + + + + Vascão + - - + - - +

CASE STYDY TREND IN THE MEAN ANNUAL FLOW N o rth S o u th

WATER DEMAND (% of mean annual inflow) GUARANTY

80% 90%

Most of the case studies denote

loss of reliability

as

more

storage capacity

would presently be required to ensure the same

water demand with a given guaranty. In some of the case studies

this even happens when increases of the water inflows occurred.

(45)

30 50 70 30 50 70 Vinhais-Qta

da Ranca + - - - + - -Castro Daire - + + + + + +

Cabriz - - - - + -

-Vale

Giestoso + - - - - - -Cunhas - + + + + + +

Centre AndreirosCouto de - + + + + + +

Torrão do

Alentejo - + + + + + + Albernoa + + + + + + +

Monte da

Ponte + + + + + + + Vascão + - - + - - +

CASE STYDY TREND IN THE MEAN ANNUAL FLOW N o rth S o u th

WATER DEMAND (% of mean annual inflow) GUARANTY

80% 90%

Most of the case studies denote

loss of reliability

as

more

storage capacity

would presently be required to ensure the same

water demand with a given guaranty. In some of the case studies

this even happens when increases of the water inflows occurred.

However,

it

should

be

pointed

out

that

all

the

i

ncreases/decreases

under consideration were very

small

and

often almost

negligible

.

(46)

In general terms the studies developed until now showed that

some of the

hydrologic series are much more resilient

than the human perception and that it is difficult, for the time

being, to clearly identify signs of the

climate changes

in such

historical series.

(47)

In general terms the studies developed until now showed that

some of the

hydrologic series are much more resilient

than the human perception and that it is difficult, for the time

being, to clearly identify signs of the

climate changes

in such

series.

This also suggests that further studies and scientific judgments

are required as, somehow, there is a

gap between what is

already considered as resulting from the climate

change and the effective behaviour denoted by some

of the hydrologic time series

.

(48)

But does this mean that the

stationarity assumption

of most

of the hydrologic models is no longer valid?

Will the future be

statistically different from the past and if so, how can

we introduce this dissimilarity in the hydrologic

models and in the design criteria

?

(49)

But does this mean that the

stationarity assumption

of most

of the hydrologic models is no longer valid?

Will the future be

statistically different from the past and if so how can

we introduce this dissimilarity in the hydrologic

models and in the design criteria

?

Though for the time being this is still an

unsolved question

it

undoubtedly points towards the need to account for

hydrologic

uncertainty

, for instance, by means of

risk analysis tools

based on scenarios

.

(50)

Maria Manuela Portela

João F. Santos; António de Carvalho Quintela; Cristiana Vaz

IST, Technical University of Lisbon, Portugal,

mps@civil.ist.ult.pt

Trends in hydrologic time series and the climate

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