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Monsoon Flood_2020_Bangladesh
File information | File dimensions | File size | Options |
Original JPG File | 2736 × 1824 pixels (4.99 MP) 23.2 cm × 15.4 cm @ 300 PPI |
2.5 MB | Download |
Low resolution print | 2000 × 1333 pixels (2.67 MP) 16.9 cm × 11.3 cm @ 300 PPI |
647 KB | Download |
942 × 628 pixels (0.59 MP) 8 cm × 5.3 cm @ 300 PPI |
167 KB | Download | |
Screen | 1100 × 733 pixels (0.81 MP) 9.3 cm × 6.2 cm @ 300 PPI |
202 KB | Download |
Preview | Screen Preview |
202 KB | View |
1080 × 720 pixels (0.78 MP) 9.1 cm × 6.1 cm @ 300 PPI |
211 KB | Download | |
768 × 512 pixels (0.39 MP) 6.5 cm × 4.3 cm @ 300 PPI |
103 KB | Download | |
800 × 533 pixels (0.43 MP) 6.8 cm × 4.5 cm @ 300 PPI |
128 KB | Download |
Resource ID
72797
Access
Open
Contributed by
Hillol Sobhan
Uploading member
CARE USA
Consent form provided?
Yes
Region
South Asia
Source
Digital Camera
Country
Bangladesh
Theme
Climate Change and Resilience
Keywords
Natural Disaster
Credit
Asafuzzaman Captain/CARE
Copyright
CARE Bangladesh
Date Image Taken
26 July 20
Caption
These pictures are from Kurigram district of Bangladesh.
SUFAL Project is using the Forecast Based Early Action (FbA) mechanism to take early actions based on climate forecast to respond to the monsoon floods by supporting inundated households in Ulipur, Kurigram. Against the backdrop of the COVID-19 pandemic, additional measures need to be taken to reduce risk of transmission during evacuation and in flood shelters. To mitigate the risk, SUFAL Project has handed over personal protective equipment (PPE) kits to Union Disaster Management Committees (UDMC) for distribution at flood shelters and evacuation boats in most vulnerable unions. PPE kits include masks, gloves, soaps, hand sanitizers and COVID-19 risk communication materials for use by local government administration, frontline workers and volunteers supporting the flood response.
Supporting Flood Forecast-based Action and Learning in Bangladesh (SUFAL Project) is implemented by CARE Bangladesh, Concern Worldwide and Islamic Relief Bangladesh, with technical support from Regional Integrated Multi-Hazard Early Warning System in flood-prone districts of Kurigram, Gaibandha and Jamalpur. The project is funded by EU Civil Protection & Humanitarian Aid - ECHO
Marker lat / long: 24, 90 (WGS84)