Christian HUGGEL1, Wilfried HAEBERLI1, César PORTOCARRERO2, Alejo COCHACHIN3, Demian SCHNEIDER1, Mario ROHRER4, Javier GARCIA5, Anton SCHLEISS5, Nadine SALZMANN1 1Department of Geography, University of Zurich, Switzerland; 2CARE, Huaraz, Peru; 3Unidad de Glaciología y Recursos Hídricos, Huaraz, Peru; 4Meteodat GmbH, Zurich, Switzerland; 5Laboratoire de constructions hydrauliques, EPFL, Lausanne, Switzerland

1. Milhuacocha, Peru
Integrated assessment
of high mountain hazards,
related risk reduction and
climate change adaptation strategies
in the Peruvian Cordilleras
Christian Huggel1, Alejo Cochachin2, Holger Frey1,
Javier García3, Claudia Giráldez1, Jesús Gómez2,
Wilfried Haeberli1, Sebastián Ludeña4, César Portocarrero5,
Karen Price6, Mario Rohrer7, Nadine Salzmann1,
Anton Schleiss4, Demian Schneider1, Elizabeth Silvestre6
1
Department of Geography, University of Zurich, Switzerland
2
Unidad de Glaciología y Recursos Hídricos, Huaraz, Peru
3
Centre de recherche sur l’environnement alpin, CREALP, Sion, Switzerland
4
Laboratoire de constructions hydrauliques, EPF Lausanne, Switzerland
5
Consultor CARE, Peru 6CARE, Peru 7Meteodat GmbH, Zurich, Switzerland
Hegglin

2. Hualcán/Carhuaz
Portocarrero
12.04.2010

3. Projecto Glaciares
“Adaptación al cambio climatico y reducción de
riesgos y desastres por desglaciación de los nevados
andinos de Cusco y Ancash en Perú“
Component 1 (local level): Case studies of the Laguna 513 in the Cordillera
Blanca and in the region of Santa Teresa in Cusco (near Machu Picchu) focusing
on glacial risks.
Component 2 (academic level): Academic capacity building by new
diploma/master courses in glaciology, climate change and high-mountain risk
management.
Component 3 (institutional level): Strengthening of glaciology in Peru by
supporting key institutions such as UGRH (Unidad de Glaciología y Recursos
Hídricos) in terms of technologies and methodologies for climate change-related
glacier and integral high-mountain research and monitoring.

4. case studies
Carhuaz
Santa Teresa

5. Results from RAMMS modelling: 3 scenarios (max. flow height)
 The small scenario (high frequency) is similar to the 2010
event!
28.08.12 ACC RRD Peru 5 von 23

6. Results from RAMMS modelling: 3 scenarios (max. velocity)
28.08.12 ACC RRD Peru 6 von 23

7. Results from RAMMS modelling: 3 scenarios (intensities)
28.08.12 ACC RRD Peru 7 von 23

8. Results from RAMMS modelling: 3 scenarios (hazards)
28.08.12 ACC RRD Peru 8 von 23

9. field investigation …
… and participative planning

10. Final hazard maps
Combined hazard map based on the 3 scenarios modelled with
RAMMS (highest value counts for each cell):
Generalized version of the combined hazard map based on the 3
scenarios modelled with RAMMS including the results from a field
evaluation in June 2012:
28.08.12 ACC RRD Peru 10 von 23

11. … and escape information for the population

12. installation of an early warning system …
 Communication and data center at Carhuaz (2641m)
 Repeater station 1 (~3189m)
 Video/photo cameras for visual monitoring and geophones near lake 513 (4491m)
 b) Geophones near the rock-ice avalanche source area (4752m), connected by
cables to station 
 Climate station / camera / geophones / flow discharge monitoring at Pampa Shonquil
(3600m a.s.l.)

13. a complex case: Santa Teresa

14. lakes, rivers and climate change

15. UNIVERSIDAD NACIONAL
SANTIAGO ANTÚNEZ DE
MAYOLO
HUARAZ PERU
UNIVERSIDAD NACIONAL AGRARIA
LA MOLINA
LIMA PERÚ
Postgrado Internacional:
Glaciology, Climate Change and Disaster Risk Management
in High-Mountain Regions
1. Snow and ice, high mountains and climate change
2. Glaciers and permafrost in high mountains
3. Monitoring of high-mountain glaciers
4. Glaciers and the water cycle in high-mountains
5. Hazards from dangerous surface processes in high mountains
6. Risk management and adaptation to climate change

16. classes, exercises, excursions, field work …
Palcacocha, Peru
… for participants from
universities and governments

17. Milhuacocha, Peru
Perspectives:
sustainable solutions under
conditions of accelerating
climate change need
local/regional capacity and
stable institutional frameworks
at universities and
governmental agencies
Hegglin

18. Milhuacocha, Peru
Hegglin