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Pesticide risk indicators in Belgium

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CODA - CERVA. 9/6/2005 1. Pesticide risk indicators in Belgium ... CODA - CERVA. 9/6/2005 9. The Risk assessment is function of both toxicity and exposure ... – PowerPoint PPT presentation

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Title: Pesticide risk indicators in Belgium


1
Pesticide risk indicators in Belgium
  • How are these risks assessed and managed ?

2
Hazard and Risk
  • Hazard (danger gevaar)
  • potential to cause a damage
  • characteristic to a agent
  • impossible to control.
  • Risk (risque risico)
  • probability for a damage to occur
  • dependent of the circumpstances (does,
    protection, susceptibility, )
  • possible to control (prevention).

Cours de toxicologie industrielle MDTR 2111
(UCL)
3
Pesticide use and risk
Risk assessment  Poison is in everything, and
no thing is without poison. The dose makes it
either a poison or a remedy  Paracelsus,
XVIth century
  • Risk management
  •  we can deal with hazard if the risk is low
    (acceptable) enough  Cours de toxicologie
    industrielle (UCL MDTR 2111)

4
Risk valuation a question of treshold value
threshold ?
threshold ?
Cours de toxicologie industrielle (UCL MDTR
2111)
5
Pesticides are generally used in an open
environment
6
and have effects on numerous non-targeted
compartments
7
Pesticides are wildely used
In Belgium, about 9 300 tons of pesticides
(active substance) were used in 2000 by
farmers professionals of nature
management communities railways gardeners.
NSPIU Not Sufficiently Precise Identified Use
8
Pesticide distribution among crops in Wallonia
(year 2000)
9
The Risk assessment is function of both toxicity
and exposure
Pesticide Risk Indicator
10
The Exp/Tox ratio is compared to a norm
Exp
Measured exposure
Acceptable ratio

Damages exposure
Norm
Tox
11
e.g. Which is the risk for fishes ?
Exp
a.s.surface water
0.01

LC50 fish
Norm
Tox
Uniform Principles CEE 91/414
a.s. active substance
12
Risks are specific to particular compartments
  • Pesticide Risk Indicators are to be specific for
  • Human concern (consumer, farm worker, etc.)
  • Flora fauna concern (fishes, birds, mammals,
    earthworms, bees, etc.)

13
Multi-compartimental indicators are adapted to
address more general question
POCER - 1 Pesticide OCcupational and
Environmental Risk indicator
(Vercruysse Steurbaut, 2002)
14
Local ? General risk assessment
Presently, indicators are mainly devoted to
assess the risk at a local level
  • For one component (fish, birds, )
  • In one place
  • At one moment
  • With one active substance
  • For a specific hazard

No risk aggregation
But, in general, question about pesticide risk
are very much global
  • For many components
  • In several places or a region
  • At several moments, generally a year
  • With several actives substances
  • For several hazards

High risk aggregation level
15
Risk aggregation is generally simplified by a
simple sum
  • Index of loads (IL) for Belgium on bees, birds
    and earthworms

16
Such rough risk aggregation sheme provide very
global information
As, for example
  • A general reduction of pesticide use would mainly
    benefit to earthworms
  • A reduction of insecticides would be more
    effective to reduce the risk on the three
    assessed compartments (50 of the bees risk is
    due to a single a.s.

17
For more detailled information at a high
aggregation level this is another story
  • There is a need of a detailled information for
    exposure
  • Where are the pesticides applied?
  • Which formulation (liquid, powder, granules, )?
  • At which dose ?
  • When ?
  • The risk is then calculated for each specific
    exposure
  • There is a need to aggregate the risk
  • For components
  • For active substances
  • For locations
  • For periods
  • For hazards

18
Information is now available for each Community
  • Pesticide application (kg a.s. in 2000 at Ittre,
    sandy-loam region)

19
While pesticide quantities are easily summed ,
Pesticide distribution among regions in Wallonia
(tons) (year 2000)
20
for pesticide risks, we must deel with a surface
aggregation,
Example of risk scores (ri) for a single
compartment (e.g. bees) from a same a.s.
application on three regions
r1
Riskglobal ?
r2
r3

e.g.
with wi weighting factor f(area pest. use )
21
a time aggregation,
Example of a risk assessment on a single
compartment from four same a.s. applications on a
same field.
year risk
r1
r2
r3
r4
t1
t2
t3
t4
ty
  • Year risk (risk ty) ?
  • e.g. ? ri ? riki where ki f(DT50 ty-ti)
  • ! riskshort-term gt risklong-term

22
the active substance aggregation,
Example of a risk assessment of a single
compartment from an application of a pesticide
with three active substances
  • Global risk ? ri average (ri) max (ri) .
    ?
  • Is there synergy, antagonism, ?

23
, and a compartment aggregation
Example of the risk assessment of a single a.s.
application on three compartments
  • Risk global ?
  • rbirds rbees rhuman
  • max (r1, r2, r3)
  • rc1wc1rc2wc2rc3wc3 where wc weighting
    factors for compartment importance f(various
    opinions)

24
And also,
  • For Belgium, the risk approach is developped in
    the PRIBEL (Pesticide Risk Indicator for BELgium)
    with UGent.
  • At the European level, the same risk approach is
    studied in the HAIR (HArmonised environmental
    Indicators for pesticide Risk) research with 18
    research teams.
  • There is also a place for societal interaction
    into the pesticide risk assessment methods, this
    aspect is studied in a BELSPO project named PEPAM
    (PEsticide risk PArticipatory Model) in
    collaboration with UA and ULG.
  • Pesticides risks are managed by several
    agricultural methods in a BELSPO project named
    LABEL realised in collaboration with UGent and
    ULG.
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