# data[].attributes.body
1. Inter-LGU Cooperation on Water Distribution
2. Free debriefing/ consultation on mental health concerns
3. Provision on temporary shelter
4. Identification of Location for Evacuation Center / Critical Point Facilities / Settlements
5. Strengthening Disaster Risk Reduction response team (LGUs)

# data[].attributes.body
1. Risk Transfer / Sharing
2. Entrepreneurial Livelihood Assistance (Training/Seminar)
3. Water Sensitive Urban Design

# data[].attributes.body
1. Improvement on Technology Adaptation on Flood Response.
2. Improvement on Early Warning System
3. Capacity Building of BHERT
4. Improvement on  Response System
5. Retrofitting

# data[].attributes.body
1. Disruption in Water distribution
2. Disruption in Power
3. Migration of local residents

# data[].attributes.body
1. Land and water pollution
2. Lower crop productivity
3. Siltation/Eutrophication of water bodies
4. Accumulation of Solid Waste

# data[].attributes.body
1. Population homelessness
2. Need for evacuation centers
3. Political Boundaries Conflict/Coordination
4. Domestic Violence
5. Increase in Mental Health concerns
6. Increased demand for Health services

# data[].attributes.body
1. Human casualties
2. Health-related issues such as occurrence of waterborne diseases
3. Danger to human settlements
4. Increase revenue of our Health Related Businesses
5. Interruption of Class / Education

# data[].attributes.body
inputs could include, 1) retention of existing coping measures, 2) enhancement of existing coping measures, 3) establishment/adaptation of adaptation measures

# data[].attributes.body
1. Higher cost of goods and services.
2. Possible food shortage
3. Loss of Livelihood
4. Weaker Internet connection

# data[].attributes.body
1. Damage to properties, infrastructures, crops and livestocks.
2. Road blockage/obstruction
3. Supply Chain Disruption
4. Increase revenue of certain businesses (Laundry Business, Water Business, informal economy, etc)
5. Increase production of Medical needs
6. Disruption in economic activities (local establishments, online business etc.)

# data[].attributes.body
derived from information of 1) known current impacts and 2) possible future changes in corresponding hazards

Perform impact chain analysis (i.e. consider cascading impacts) for a specific sector

# data[].attributes.headline
Possible future changes in local hazards

# data[].attributes.subject
Possible future changes in local hazards

# data[].attributes.body
1. Increased flood depth
2. Longer flood duration
3. Longer Flood Subsidence
4. Flashflood / Rapid Flooding
5. Soil Saturation

# data[].attributes.body
Changes in Mosoon-Induced rainfall (JJA) : -0.4% (RCP4.5), 7.7% (RCP8.5)

Largest rainfall increase in DJF: 55.5% (RCP4.5), 53.4% (RCP8.5)

# data[].attributes.headline
Rx1day (Maximum 1-day rainfall total (mm))

# data[].attributes.subject
Rx1day (Maximum 1-day rainfall total (mm))

# data[].attributes.body
[Historical Impact:

(Typhoon Ketsana, Philippine Name: Ondoy Sept, 2009) 455.0 mm of rain fell at The Quezon City Science garden, 258.5 mm fell at the Port Area.
There were 464 dead, 529 injured and 37 missing. Damages estimated cost 11B. ]

Increase amount of rainfall (1day)

Rx1day : Change in the maximum 1-day rainfall suggested to be a high as 29.6 (RCP4.5) to 28.9 (RCP8.5)

refer to inputs from CERAM Workshop

determine indices relevant to indicated hazard using the Index-Hazard Table provided;
indicate notable changes in relevant indices (in terms of Magnitude, Frequency, and Duration; when applicable)

Example:
1. p95 increases by 3 mm (rcp45) or 4.2 mm (rcp85)
2. R95p increases by 63 mm (rcp45) or 94.7 mm (rcp85)
3. P95d increases by about 1 day (rcp45) or 2 days (rcp85)
4. cwd increases by 1 day (rcp45 and rcp85)

# data[].attributes.body
primary hazard; refer to Hazard Inventory Matrix produced from Step 1 of CDRA Process)