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Drought Management Centre
   for Southeastern Europe
Vulnerabilities, risks and policy
      recommendations
                   Gregor Gregorič
    Environmental Agency of the Republic of Slovenia
                Meteorological Office
                 gregor.gregoric@gov.si
DMCSEE - From initiative to operability
• 1998 need for Balkan subregional center
• 2004 Center initiative – “top-down” approach
   (International Commission on Irrigation and Drainage (ICID) adopted a declaration which expressed the need to
   establish this centre to alleviate problems caused by drought in the area “Balkan Drought Workshop” in
   Poiana/Brasov (RO), co-sponsored by the UNCCD)
• 2006 triangle approach: UNCCD focal points, permanent representatives with the
  WMO + observers from UNCCD and WMO)
   (Workshop for national experts and representatives of National Meteorological and Hydrological Services where
   they agreed on DMCSEE within context of UNCCD)
• 2006 decision on DMCSEE host institution (procedure led by WMO).
• 2007 – 2009 advocacy , management, steering committee, active institutions in
  consortium.
• since 2008 first drought monitoring products, fund raising, cooperation with JRC
  (Eurogeoss project and EDO portal)
• April 2009 – May 2012    Transnational cooperation programme project
DMCSEE – TCP-SEE project

The DMCSEE TCP project is
envisaged as “bridge project” phase
aiming at development of functions of
the centre.

Transnational Cooperation
Programme for SE Europe
www.southeast-europe.net


15 partners from 9 countries
Total project budget       2.2 M€
                                            consortium
Not all countries participate!
(not all countries are eligible)
Monitoring of drought


- No single drought definition

- Artifitial division needed for
  operational reasons

- Drought indices should vary,
depending on current situation
Monitoring of meteorological drought

Implementation of Standardized
Precipitation Index (SPI)

Using GPCC data, some preliminary maps of the
SPI, Percentiles and Precipitation for the region
are prepared.
For period 1951-2000 maps are available.



Standard tool for
monitoring and early
warning of meteorological
drought
                                                    Standardized precipitation index (SPI), computed from GPCC data
Monitoring of meteorological drought

Implementation of Standardized
Precipitation Index (SPI)

GIS application and Web Mapping
Service

Available on
www.dmcsee.org/GISapp

Enables DMCSEE partners to
upload their products, composits
are calculated automatically

Currently available climatological
maps (precip. and temp.) and SPI
index
Agricultural drought – monitoring and risk assessment

  Most important parameter for monitoring agricultural drought
  is soil moisture.

  Natural tools for monitoring soil moisture:
  - Local measurements
  - Irrigation sheduling models

  WinISAREG:
  water balance model for simulating crop
  irrigation schedules.
  Developed in Technical University of Lisbon (prof. L.-S.
  Pereira).
Agricultural drought – monitoring and risk assessment

Wisareg model (Pereira et al, 2003)
Irrigation scheduling tool
 large selection of irrigation method s;
 soils divided into several layers;
 results: variety of data


                         D a ta
                 re q u ire m e n ts
                                       C L IMATOL OG IC AL
                                       D ATA
 C R OP DA T A       S OIL D ATA
                                       humidity, wind,
 dates of            data for          sunshine…
 phenological        different soil
 stages              layers
Agricultural drought – monitoring and risk assessment

WinIsareg outputs:


Net irrigation requirement (NIR):
Amount of water needed that
plants don’t experience water
strees (prescribed moisture
level).


- Daily irrigation values
- Annual sums
Agricultural drought – monitoring and risk assessment

WinIsareg outputs:


Net irrigation requirement (NIR):
Amount of water needed that
plants don’t experience water
strees (prescribed moisture
level).


- Daily irrigation values
- Annual sums
Agricultural drought – monitoring and risk assessment

    WinIsareg outputs:


    Shortage of water causes yield decrease.
    Plants in stress transpirate less than optimally irrigated
    plants:

                         RYD ∝ - Ky x AET/PET
    RYD – relative yield decrease
    AET – actual evapotranspiration
    PET – potential evapotranspiration
    Ky – linear coeficcient in range 1.2 – 1.8
Agricultural drought – monitoring and risk assessment
Sensitivity and vulnerability to drought
Natural vulnerability: the rate of the reply, if a natural anomaly occurs.
This rate is defined by the natural and social environment. E.g. the loss on
vulnerable fields will be larger, than on less vulnerable lands.
The drought vulnerability maps can be prepared for the whole region
using GIS techniques. All relevant impact factors (with available data
layers) should be considered and appropriately weighted. Vulnerability is
categorized and visualized in relative scale.
Scientific background:
Wilhelmi, O. V. – Wilhite, D. A., 2002: Assessing Vulnerability to Agricultural
Drought: A Nebraska Case Study, 2000 — Natural Hazards vol. 25, pp. 37 –
58.
Bella Sz., 2003: Magyarország egyes tájainak aszályérzékenysége –
szakdolgozat, ELTE, Budapest, 63 p. (Drought vulnerability of Hungary's
each regions – MSc thesis, Eötvös Univerity, Budapest - Hungary)
Sensitivity and vulnerability to drought
Sensitivity and vulnerability to drought



      Parameter         Weight
Slope                   0.1623
Available Groundwater   0.0518
Sunshine duration       0.3071
Precipitation           0.1180
Land use                0.0858
Soil type               0.2232
Irrigation              0.0518
Policy recommendations
Legal framework – drought management plans (WFD)


- appropriate drought authority (committee?)
- implementation of drought monitoring and early warning -
specification of drought declaration
- effective water use
Policy recommendations
Drought preparedness and mitigaton measures


- Agriculture: Insurance
- climatological risk - “weather index insurance”
- assistance in risk assessment – NMHSs data policy
- insurance subsidy and participation in mutual risk funds
- reinsurance options
- improvement of resilience

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Drought Management Centre for Southeastern Europe by Gregor Gregoric, Slovenian Environmental Agency

  • 1. Drought Management Centre for Southeastern Europe Vulnerabilities, risks and policy recommendations Gregor Gregorič Environmental Agency of the Republic of Slovenia Meteorological Office gregor.gregoric@gov.si
  • 2. DMCSEE - From initiative to operability • 1998 need for Balkan subregional center • 2004 Center initiative – “top-down” approach (International Commission on Irrigation and Drainage (ICID) adopted a declaration which expressed the need to establish this centre to alleviate problems caused by drought in the area “Balkan Drought Workshop” in Poiana/Brasov (RO), co-sponsored by the UNCCD) • 2006 triangle approach: UNCCD focal points, permanent representatives with the WMO + observers from UNCCD and WMO) (Workshop for national experts and representatives of National Meteorological and Hydrological Services where they agreed on DMCSEE within context of UNCCD) • 2006 decision on DMCSEE host institution (procedure led by WMO). • 2007 – 2009 advocacy , management, steering committee, active institutions in consortium. • since 2008 first drought monitoring products, fund raising, cooperation with JRC (Eurogeoss project and EDO portal) • April 2009 – May 2012 Transnational cooperation programme project
  • 3. DMCSEE – TCP-SEE project The DMCSEE TCP project is envisaged as “bridge project” phase aiming at development of functions of the centre. Transnational Cooperation Programme for SE Europe www.southeast-europe.net 15 partners from 9 countries Total project budget 2.2 M€ consortium Not all countries participate! (not all countries are eligible)
  • 4.
  • 5. Monitoring of drought - No single drought definition - Artifitial division needed for operational reasons - Drought indices should vary, depending on current situation
  • 6. Monitoring of meteorological drought Implementation of Standardized Precipitation Index (SPI) Using GPCC data, some preliminary maps of the SPI, Percentiles and Precipitation for the region are prepared. For period 1951-2000 maps are available. Standard tool for monitoring and early warning of meteorological drought Standardized precipitation index (SPI), computed from GPCC data
  • 7. Monitoring of meteorological drought Implementation of Standardized Precipitation Index (SPI) GIS application and Web Mapping Service Available on www.dmcsee.org/GISapp Enables DMCSEE partners to upload their products, composits are calculated automatically Currently available climatological maps (precip. and temp.) and SPI index
  • 8. Agricultural drought – monitoring and risk assessment Most important parameter for monitoring agricultural drought is soil moisture. Natural tools for monitoring soil moisture: - Local measurements - Irrigation sheduling models WinISAREG: water balance model for simulating crop irrigation schedules. Developed in Technical University of Lisbon (prof. L.-S. Pereira).
  • 9. Agricultural drought – monitoring and risk assessment Wisareg model (Pereira et al, 2003) Irrigation scheduling tool large selection of irrigation method s; soils divided into several layers; results: variety of data D a ta re q u ire m e n ts C L IMATOL OG IC AL D ATA C R OP DA T A S OIL D ATA humidity, wind, dates of data for sunshine… phenological different soil stages layers
  • 10. Agricultural drought – monitoring and risk assessment WinIsareg outputs: Net irrigation requirement (NIR): Amount of water needed that plants don’t experience water strees (prescribed moisture level). - Daily irrigation values - Annual sums
  • 11. Agricultural drought – monitoring and risk assessment WinIsareg outputs: Net irrigation requirement (NIR): Amount of water needed that plants don’t experience water strees (prescribed moisture level). - Daily irrigation values - Annual sums
  • 12. Agricultural drought – monitoring and risk assessment WinIsareg outputs: Shortage of water causes yield decrease. Plants in stress transpirate less than optimally irrigated plants: RYD ∝ - Ky x AET/PET RYD – relative yield decrease AET – actual evapotranspiration PET – potential evapotranspiration Ky – linear coeficcient in range 1.2 – 1.8
  • 13. Agricultural drought – monitoring and risk assessment
  • 14. Sensitivity and vulnerability to drought Natural vulnerability: the rate of the reply, if a natural anomaly occurs. This rate is defined by the natural and social environment. E.g. the loss on vulnerable fields will be larger, than on less vulnerable lands. The drought vulnerability maps can be prepared for the whole region using GIS techniques. All relevant impact factors (with available data layers) should be considered and appropriately weighted. Vulnerability is categorized and visualized in relative scale. Scientific background: Wilhelmi, O. V. – Wilhite, D. A., 2002: Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study, 2000 — Natural Hazards vol. 25, pp. 37 – 58. Bella Sz., 2003: Magyarország egyes tájainak aszályérzékenysége – szakdolgozat, ELTE, Budapest, 63 p. (Drought vulnerability of Hungary's each regions – MSc thesis, Eötvös Univerity, Budapest - Hungary)
  • 16. Sensitivity and vulnerability to drought Parameter Weight Slope 0.1623 Available Groundwater 0.0518 Sunshine duration 0.3071 Precipitation 0.1180 Land use 0.0858 Soil type 0.2232 Irrigation 0.0518
  • 17. Policy recommendations Legal framework – drought management plans (WFD) - appropriate drought authority (committee?) - implementation of drought monitoring and early warning - specification of drought declaration - effective water use
  • 18. Policy recommendations Drought preparedness and mitigaton measures - Agriculture: Insurance - climatological risk - “weather index insurance” - assistance in risk assessment – NMHSs data policy - insurance subsidy and participation in mutual risk funds - reinsurance options - improvement of resilience