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Why	
  KNOW-­‐4-­‐DRR?	
  
Necessity	
  and	
  usefulness	
  of	
  knowledge	
  on	
  DRR.	
  
CEPREDENAC,	
  México,	
  April	
  2015,	
  P.	
  Pigeon.	
  
Knowledge	
  limitaLons.	
  
André,	
  C	
  (2013),	
  PhD	
  
ContestaLon	
  of	
  knowledge	
  on	
  DRR	
  
La	
  Faute	
  sur	
  Mer	
  2007	
  RPP,	
  
and	
  local	
  opposiLon	
  to	
  DRR	
  policy.	
  
Which	
  knowledge	
  for	
  whom?	
  
Structure	
  
1.	
  The	
  context	
  :	
  the	
  more	
  we	
  know,	
  the	
  more	
  
we	
  lose….	
  
2.	
  DRR	
  policies	
  necessary,	
  yet	
  limited.	
  
3.	
  IdenLfying	
  limitaLons	
  :	
  a	
  quesLon	
  of	
  
informaLon	
  and	
  knowledge	
  for	
  assessing	
  DRR…	
  
4.	
  But	
  not	
  only	
  a	
  quesLon	
  of	
  informaLon	
  and	
  
knowledge	
  as	
  such….	
  
THE	
  challenges….	
  
1.  The more we know, the more we lose?
Assessments on disaster frequencies and losses
look paradoxical (White et al. 2001): « the more we know, the more we lose…. »
Papers on resilience in peer-review journals.
(Kuhlicke, 2011)
A. The more we know
B. The more we lose???
Yet, C….
How to reduce losses even more?
People killed and economic losses, Colombia, GAR 2015.
Poorly	
  prevenLon	
  oriented	
   More	
  prevenLon	
  oriented	
  
DRR	
  policies	
  more	
  prevenLon	
  oriented…yet	
  sLll	
  
with	
  peak	
  losses	
  (as	
  with	
  Xynthia	
  related	
  
disasters…).	
  
Where	
  do	
  we	
  find	
  the	
  most	
  disaster	
  prone	
  areas?	
  	
  
2.	
  DRR	
  policies	
  necessary,	
  yet	
  limited.….	
  
Chautagne	
  
RPP,	
  2004	
  
La	
  Faute-­‐sur-­‐Mer	
  RPP,	
  2007	
  
5WCDRR	
  3	
  -­‐	
  Sendai	
  -­‐	
  17	
  March	
  2015	
  -­‐	
  Side	
  event	
  on	
  Risk	
  Data	
  Sharing	
  Platforms	
  
3. Identifying DRR policies limitations : a question of
information and knowledge for assessing DRR.
ONRN « develops national risk assessment »
…
•  Provided	
   by	
   ONRN	
   iniLal	
  
partners	
   (now	
   amounLng	
  
to	
  100)	
  
•  Limited	
  to:	
  
ü  Flood	
  hazard,	
  
ü  Exposed	
  assets,	
  
ü  Loss	
  records,	
  
ü  Progress	
   of	
   one	
   DRR	
  
procedure	
  (PPRNI)	
  
at	
   municipality	
   grid,	
  
naLonwide	
  (metropolitan)	
  
	
  
Downloadable indicators and data (www.onrn.fr)
eg. Map	
  of	
  cumulated	
  flood	
  losses	
  	
  per	
  municipality	
  (from	
  1995	
  to	
  2010)	
  
NaLonal	
  and	
  regional	
  observatories	
  draw	
  a`enLon	
  on	
  the	
  need	
  to	
  focus	
  on	
  the	
  municipal	
  scale	
  
From	
  2	
  to	
  5	
  M	
  Euros	
  
From	
  5	
  to	
  276	
  M	
  Euros	
  
6WCDRR	
  3	
  -­‐	
  Sendai	
  -­‐	
  17	
  March	
  2015	
  -­‐	
  Side	
  event	
  on	
  Risk	
  Data	
  Sharing	
  Platforms	
  
ONRN « refines risk management planning »
at regional and municipal scales.
Screenshots of interactive maps from www.onrn.fr
allowing to compare exposure/loss records and evolution of public prevention policy
Yet	
  :	
  sLll	
  local	
  opposiLons	
  to	
  naLonal	
  DRR	
  policies…	
  
Need	
  to	
  address	
  local	
  scales	
  more	
  in	
  details	
  
and	
  to	
  share	
  knowledges	
  with	
  local	
  stakeholders.	
  	
  
Over	
  5	
  million	
  euros	
  losses	
   Approved	
  (enforced)	
  PPR	
  
Cumulated insured losses due to floods
period 1995 – 2010, at municipality grid
Status of public preventive actions, as of end 2013:
municipal flood risk prevention plans (PPRI)
4.	
  Iden?fying	
  limita?ons	
  :	
  not	
  a	
  ques?on	
  of	
  informa?on	
  and	
  even	
  not	
  of	
  knowledge	
  only….	
  
Percentage	
  of	
  insured	
  goods	
  damaged	
  	
  
during	
  the	
  Rhone	
  river	
  2003	
  floods	
  in	
  Arles.	
  
Domenichini,	
  J.	
  2008.	
  
PhD,	
  p.	
  70.	
  
Losses	
  intensiLes	
  
Level	
  of	
  water	
  
AND	
  level	
  of	
  water	
  does	
  not	
  explain	
  losses	
  
experienced	
  only,	
  according	
  to	
  experience	
  returns	
  
and	
  insurance	
  data	
  
(plurifactoriality…..).	
  	
  How	
  to	
  share	
  that?	
  
Yet,	
  we	
  find	
  building	
  prescripLon	
  
discrepancies…	
  
Insights	
  
•  How	
  to	
  reduce	
  more	
  informaLon	
  fragmentaLon	
  
on	
  DRR	
  between	
  insLtuLons	
  and	
  stakeholders?	
  	
  
•  How	
  prevenLng	
  more	
  disasters	
  with	
  local	
  
stakeholders?	
  
•  “Increasing	
  the	
  quality	
  and	
  coverage	
  of	
  data	
  is	
  
seen	
  as	
  central	
  to	
  operaLonalising	
  DRR	
  policies,	
  
but	
  success	
  does	
  not,	
  however,	
  hinge	
  simply	
  on	
  
the	
  provision	
  of	
  more	
  accurate	
  and	
  
comprehensive	
  data”	
  	
  
(White,	
  I	
  et	
  alii,	
  2011,	
  p.	
  14).	
  	
  
	
  

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Why know 4-drr conference final 19 5

  • 1. Why  KNOW-­‐4-­‐DRR?   Necessity  and  usefulness  of  knowledge  on  DRR.   CEPREDENAC,  México,  April  2015,  P.  Pigeon.   Knowledge  limitaLons.   André,  C  (2013),  PhD   ContestaLon  of  knowledge  on  DRR   La  Faute  sur  Mer  2007  RPP,   and  local  opposiLon  to  DRR  policy.   Which  knowledge  for  whom?  
  • 2. Structure   1.  The  context  :  the  more  we  know,  the  more   we  lose….   2.  DRR  policies  necessary,  yet  limited.   3.  IdenLfying  limitaLons  :  a  quesLon  of   informaLon  and  knowledge  for  assessing  DRR…   4.  But  not  only  a  quesLon  of  informaLon  and   knowledge  as  such….   THE  challenges….  
  • 3. 1.  The more we know, the more we lose? Assessments on disaster frequencies and losses look paradoxical (White et al. 2001): « the more we know, the more we lose…. » Papers on resilience in peer-review journals. (Kuhlicke, 2011) A. The more we know B. The more we lose??? Yet, C…. How to reduce losses even more? People killed and economic losses, Colombia, GAR 2015.
  • 4. Poorly  prevenLon  oriented   More  prevenLon  oriented   DRR  policies  more  prevenLon  oriented…yet  sLll   with  peak  losses  (as  with  Xynthia  related   disasters…).   Where  do  we  find  the  most  disaster  prone  areas?     2.  DRR  policies  necessary,  yet  limited.….   Chautagne   RPP,  2004   La  Faute-­‐sur-­‐Mer  RPP,  2007  
  • 5. 5WCDRR  3  -­‐  Sendai  -­‐  17  March  2015  -­‐  Side  event  on  Risk  Data  Sharing  Platforms   3. Identifying DRR policies limitations : a question of information and knowledge for assessing DRR. ONRN « develops national risk assessment » … •  Provided   by   ONRN   iniLal   partners   (now   amounLng   to  100)   •  Limited  to:   ü  Flood  hazard,   ü  Exposed  assets,   ü  Loss  records,   ü  Progress   of   one   DRR   procedure  (PPRNI)   at   municipality   grid,   naLonwide  (metropolitan)     Downloadable indicators and data (www.onrn.fr) eg. Map  of  cumulated  flood  losses    per  municipality  (from  1995  to  2010)   NaLonal  and  regional  observatories  draw  a`enLon  on  the  need  to  focus  on  the  municipal  scale   From  2  to  5  M  Euros   From  5  to  276  M  Euros  
  • 6. 6WCDRR  3  -­‐  Sendai  -­‐  17  March  2015  -­‐  Side  event  on  Risk  Data  Sharing  Platforms   ONRN « refines risk management planning » at regional and municipal scales. Screenshots of interactive maps from www.onrn.fr allowing to compare exposure/loss records and evolution of public prevention policy Yet  :  sLll  local  opposiLons  to  naLonal  DRR  policies…   Need  to  address  local  scales  more  in  details   and  to  share  knowledges  with  local  stakeholders.     Over  5  million  euros  losses   Approved  (enforced)  PPR   Cumulated insured losses due to floods period 1995 – 2010, at municipality grid Status of public preventive actions, as of end 2013: municipal flood risk prevention plans (PPRI)
  • 7. 4.  Iden?fying  limita?ons  :  not  a  ques?on  of  informa?on  and  even  not  of  knowledge  only….   Percentage  of  insured  goods  damaged     during  the  Rhone  river  2003  floods  in  Arles.   Domenichini,  J.  2008.   PhD,  p.  70.   Losses  intensiLes   Level  of  water   AND  level  of  water  does  not  explain  losses   experienced  only,  according  to  experience  returns   and  insurance  data   (plurifactoriality…..).    How  to  share  that?   Yet,  we  find  building  prescripLon   discrepancies…  
  • 8. Insights   •  How  to  reduce  more  informaLon  fragmentaLon   on  DRR  between  insLtuLons  and  stakeholders?     •  How  prevenLng  more  disasters  with  local   stakeholders?   •  “Increasing  the  quality  and  coverage  of  data  is   seen  as  central  to  operaLonalising  DRR  policies,   but  success  does  not,  however,  hinge  simply  on   the  provision  of  more  accurate  and   comprehensive  data”     (White,  I  et  alii,  2011,  p.  14).