Lack of Resilience Index - Pacific Disaster...
Transcript of Lack of Resilience Index - Pacific Disaster...
Pacific Disaster CenterArea Brief: GeneralExecutive Summary
HONOLULU
16:10:0521 May 2016
WASH.D.C.
22:10:0521 May 2016
ZULU
02:10:0522 May 2016
NAIROBI
05:10:0522 May 2016
KATHMANDU
07:55:0522 May 2016
BANGKOK
09:10:0522 May 2016
Region Selected » Lower Left Latitude/Longitude: 25.4845 N˚ , 84.5001 E˚Upper Right Latitude/Longitude: 31.4845 N˚ , 90.5001 E˚
Current Hazards:
Recent Earthquakes
Event Severity Date (UTC) Magnitude Depth (km) Location Lat/Long
22-May-2016 02:09:38 5.1 10 30km WNW of Gyangkar, China 28.48° N / 87.5° E
Lack of Resilience Index:Lack of Resilience represents the combination of susceptibility to impact and the relative inability to absorb, respond to, and recover from negative impactsthat do occur over the short term. Bangladesh ranks 32 out of 165 on the Lack of Resilience index with a score of 0.56. Bhutan ranks 89 out of 165 on theLack of Resilience index with a score of 0.4. China ranks 82 out of 165 on the Lack of Resilience index with a score of 0.43. India ranks 42 out of 165 on theLack of Resilience index with a score of 0.54. Nepal ranks 38 out of 165 on the Lack of Resilience index with a score of 0.55.
Bangladesh ranks 32 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Info Access Vulnerability and Infrastructure.
Bhutan ranks 89 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Info Access Vulnerability, Infrastructure and Population Pressures.
China ranks 82 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Governance and Marginalization.
India ranks 42 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Info Access Vulnerability and Marginalization.
Nepal ranks 38 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Recent Disaster Impacts, Info Access Vulnerability and Infrastructure.
170,000
Legend
Population Density (person/sqkm)
0
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Earthquake - 5.1 - 30km WNW of Gyangkar,ChinaLocation: Bangladesh;Bhutan;China;India;NepalSeverity Level: Advisory
Situational Awareness
Lowest (0) Highest (1)
BangladeshBhutan
China
India
Nepal
Australia
Brazil
Russia
NigeriaUnited States
Population Data:
2011
Total: 101, 735, 720Max Density: 64, 257(ppl/km2)
Kathmandu - 250,000 to 499,999
Ramechhap - Less than 50,000
Rajbiraj - Less than 50,000
Patna - 500,000 to 999,999
Punakha - Less than 50,000
Thimphu - Less than 50,000
Paro - Less than 50,000
Gangtok - Less than 50,000
Ilam - Less than 50,000
Biratnagar - 50,000 to 99,999
Populated Areas:
Multi Hazard Risk Index:Bangladesh ranks 6 out of 165 on the Multi-Hazard Risk Index with a score of 0.66. Bangladesh is estimated to have relatively very high overall exposure,medium vulnerability, and low coping capacity.
Bhutan ranks 89 out of 165 on the Multi-Hazard Risk Index with a score of 0.48. Bhutan is estimated to have relatively high overall exposure, mediumvulnerability, and high coping capacity.
China ranks 31 out of 165 on the Multi-Hazard Risk Index with a score of 0.58. China is estimated to have relatively very high overall exposure, lowvulnerability, and medium coping capacity.
India ranks 13 out of 165 on the Multi-Hazard Risk Index with a score of 0.63. India is estimated to have relatively high overall exposure, medium vulnerability,and medium coping capacity.
Nepal ranks 27 out of 165 on the Multi-Hazard Risk Index with a score of 0.59. Nepal is estimated to have relatively high overall exposure, mediumvulnerability, and medium coping capacity.
Lack of Resilience Index:Lack of Resilience represents the combination of susceptibility to impact and the relative inability to absorb, respond to, and recover from negative impactsthat do occur over the short term. Bangladesh ranks 32 out of 165 on the Lack of Resilience index with a score of 0.56. Bhutan ranks 89 out of 165 on theLack of Resilience index with a score of 0.4. China ranks 82 out of 165 on the Lack of Resilience index with a score of 0.43. India ranks 42 out of 165 on theLack of Resilience index with a score of 0.54. Nepal ranks 38 out of 165 on the Lack of Resilience index with a score of 0.55.
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Additional information and analysis is available for Disaster Management Professionals. If you are a Disaster Management Professional and would like toapply for access, please register here. Validation of registration information may take 24-48 hours.
Regional Overview
(show first 10 cities)
Kathm
andu
Ramec
hhap
Rajbira
j
Patna
Punakha
Thimphu
Paro
Gangto
kIla
m
Biratn
agar
0
250 000
500 000
750 000
1 000 000
1 250 000
Risk & Vulnerability
LowestRisk (0)
HighestRisk (1)
Bangladesh
Bhutan India
China
NepalAustralia
Brazil
Russia
NigeriaUnited States
China NepalBrazil NigeriaUnited States
Bangladesh ranks 32 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Info Access Vulnerability and Infrastructure.
Bhutan ranks 89 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Info Access Vulnerability, Infrastructure and Population Pressures.
China ranks 82 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Governance and Marginalization.
India ranks 42 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Environmental Capacity, Info Access Vulnerability and Marginalization.
Nepal ranks 38 out of 165 on the Lack of Resilience Index. Based on the sub-component scores related to Vulnerability and Coping Capacity, the threethematic areas with the weakest relative scores are Recent Disaster Impacts, Info Access Vulnerability and Infrastructure.
Lowest (0) Highest (1)
BangladeshBhutan
IndiaAustralia Russia
Historical Hazards:
Earthquakes:
5 Largest Earthquakes (Resulting in significant damage or deaths)
Event Date (UTC) Magnitude Depth (Km) Location Lat/Long
15-Jan-1934 00:08:00 8.10 33 INDIA: BIHAR; NEPAL 26.5° N / 86.5° E
26-Aug-1833 00:00:00 8.00 - NEPAL: KATHMANDU; INDIA: BIHAR 28.3° N / 85.5° E
02-Jul-1930 00:21:00 7.10 - BANGLADESH: DHUBRI,ASSAM 25.5° N / 90° E
18-Sep-2011 12:40:51 6.90 50 INDIA: SIKKIM 27.73° N / 88.16° E
20-Aug-1988 00:23:00 6.60 57 NEPAL-INDIA: KATHMANDU, BIHAR 26.76° N / 86.62° E
Wildfires:
5 Largest Wildfires
Event Start/End Date(UTC) Size (sq. km.) Location Mean Lat/Long
08-Mar-2006 00:00:00 - 17-Mar-2006 00:00:00 11.40 India 25.7° N / 90.5° E
06-Mar-2006 00:00:00 - 09-Mar-2006 00:00:00 10.10 India 25.51° N / 90.43° E
Additional information and analysis is available for Disaster Management Professionals. If you are a Disaster Management Professional and would like toapply for access, please register here. Validation of registration information may take 24-48 hours.
Historical Hazards
Dec 18 2010Earthquakes
INDIA:SIKKIM
Nov 10 1995Tropical CycloneIndian Ocean
Mar 16 2006FiresIndia
Dec 19 1987EarthquakesNEPAL-INDIA:KATHMANDU,BIHAR
Feb 27 2006FiresIndia
1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020
Tropical Cyclones:
5 Largest Tropical Cyclones
Event Name Start/End Date(UTC) Max Wind Speed(mph)
Min Pressure(mb)
Location Lat/Long
1995-11-05
05-Nov-1995 18:00:00 - 10-Nov-199512:00:00
81 No Data Indian Ocean 16.83° N / 89.9° E
* As defined by the source (Dartmouth Flood Observatory, University of Colorado), Flood Magnitude = LOG(Duration x Severity x Affected Area). Severityclasses are based on estimated recurrence intervals and other criteria.
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Disclosures