Local scale examples from Slovenia - wamis.org · Increased variability of water supply More...

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Drought analysis Local scale examples from Slovenia Tjaša Pogačar Agrometeorological Department, EARS

Transcript of Local scale examples from Slovenia - wamis.org · Increased variability of water supply More...

Page 1: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Drought analysis

Local scale examples from SloveniaTjaša PogačarAgrometeorological Department, EARS

Page 2: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Contents

What basic and evaluated data is available for drought analysis (monitoring)?

Who collects the data and where can we get it? Our methodology and tools for drought analysis To whom and where are these data and analysis

information available?

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Slovenia a great diversity of:

Precipitation amount

Land use

Soils

Page 4: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Increased variability of water supply

More frequent occurrence of droughts and water surpluses (not only floods)

Important to analyze both extremes

Droughts in 2003, 2006, 2007

Drought and water surplus in 2009

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15 June – 15 July 2009

Drought

Water surplus

Government arrangements ‘De minimis’: financial help for farmers

Page 6: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Basicvariables

PRECIPITATION

in comparison to long-term averages

data: Meteorological Office

DROUGHT STRESS

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Basic variables

0

5

10

15

20

25

30

Bab

no P

olje

Rat

eče

Pos

tojn

a

Lesc

e

Koč

evje

Brn

ik

Mar

ibor

Cel

je

Por

toro

ž

Ljub

ljana

Mur

ska

Sob

ota

Črn

omel

j

Nov

o m

esto

Bilj

e

num

ber o

f day

s

T over 30°C T over 30°C in RV below 40%

maximum air temperature over 30 °C

and

low relative humidity (14:00)

HEAT STRESS

Fruit damage due to heat stress:

2-3 days of 5h T over 30 °C and

daily global radiation over 2400 J/cm2

data: Meteorological Office

maize: leaf folding

AIR TEMPERATURES

TEMPERATURE THRESHOLDS:

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Basic variables

Double effect: 2009

data: Meteorological Office

DROUGHT and HEAT STRESS

POTENTIAL EVAPOTRANSPIRATION

Penman-Monteith:

• tested

• systematically used

• result: improved quality of drought monitoring

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Basic variables

Soil water measurements

Soil data: field capacity, wilting point, water holding capacity ...

data: Meteorological Office

soil data: Biotechnical Faculty

SOIL WATER

PROBLEMS

with datasoils

Time Domaine Reflectometers instead of GRAVIMETRIC method

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Intensity

of rain

What happens with soil water?

Percolation ... Every rain drop is not usefulso

ilch

arac

teris

tics

Page 11: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Evaluated variables

Basic water balance: RR - ETP (precipitation – potential

evapotranspiration)

prepared data: SAgMIS (Slovene AgroMeteorological Information System)

WATER BALANCE

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http://meteo.arso.gov.si/met/sl/agromet/recent/wb/

On-line available only data for 7 stations

DAILY and WEEKLY

cumulative for VEGETATION PERIOD

precipitation, potential evaporation and water balance

PROBLEM

for users

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Evaluated variables

Average July 1971-2000 July 2010

WATER BALANCE

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IRRFIB: water-balance model

• potential evapotranspiration (Penman-Monteith)

• precipitation

• phenological phases and crop coefficients

• roots depth

• field capacity and wilting point

• actual evapotranspiration

• crop water demands

• soil water content

• soil water deficit

• irrigation demands

Initial

conditions!

Other possibility: WINISAREG model

Page 15: Local scale examples from Slovenia - wamis.org · Increased variability of water supply More frequent occurrence of droughts and water surpluses (not only floods) Important to analyze

Model and measurements

goodagreement

r = 0.84

tested for a variety of crops

comparison for 3 years

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IRRFIB:crop water deficit and stress days

-300

-250

-200

-150

-100

-50

0

50

100

150

2003

1993

1983

2001

2000

1988

1984

2007

1999

2008

1981

2002

1985

2004

1991

1994

1998

1987

2006

1986

1990

2005

1982

1989

1973

1997

1980

1972

1975

CWD [mm] stress days

Crop water deficit (CWD) and stress days for maize on soil with medium water holding capacity in Murska Sobota in the period 1972-2008 in descending order

difference between precipitation and crop evapotranspiration

days with the soil water content under the limit (50% FC)

+ proxy data

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Yield vs. Crop water deficit

Yield vs. crop water deficit (CWD) for maize on soil with medium water holding capacity in Murska Sobota in the period 1983-2008

higher crop water deficit leads to yield decrease

r = 0.65

PROBLEMS

with data

Rain-fed

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Irrigation in Slovenia

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

1995 2000 2005 2006 2008

Povr

šina

(ha)

Zemljišča pripravljena za namakanje Namakana zemljišča

area

[ha]

Land prepared for irrigation Irrigated land

• traditional way of farming

• governmental subsidies after droughts

• non-rational water use

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SAgMIS: Slovene AgroMeteorologicalInformation System

IRRFIB simulation – non irrigated

water use

deficit

8.3. – 21.4.2010

SALAT (Ptuj)

22.4. – 19.7.2010

MAIZE (Maribor)

recent additional analysis

for specific location, soil and crop

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SAgMIS: Slovene AgroMeteorologicalInformation System

IRRFIB simulation – irrigated

1.5. – 1.10.2008: MAIZE (Murska Sobota)sprinkler irrigation

water use

deficit

recent update:

FORECAST of irrigation

project

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Data dissemination

Agricultural Advisory Service

E-mail Promotions (conferences) Articles Publications

Internet

VIA:

on-line irrigation forecast

http://meteo.arso.gov.si/met/sl/agromet/

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Data dissemination

In the vegetation period

(April – September):

DECADAL BULLETIN

http://meteo.arso.gov.si/met/sl/agromet/recent/wb/currentyear/

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DECADAL BULLETIN

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Data dissemination

Internet page with up-to-date data

publicationsavailable data (archive)

phenological datalong-term averages: understanding of past

drought occurrencesreal-time data