13 •
Sector based vulnerability assessment in the field •
Capacity assessment for undertaking relevant projects by cities vi. Reporting and recommendation
• Reporting the preliminary assessments and recommendations
• Data presentation to the Advisory committee
• City level meeting to present the final assessment results
• Submission of reports to ACCCRNRF
3.4 Detail explanation of study approach
The objective of data collection was to get a clear understanding of the availability and accuracy of technical data required to conduct appropriate assessments under three categories
for 5 target cities;
i. Climate scenario assessment ii. Assessment of disaster impacts
iii. Sector based vulnerability assessment and assessment of capacity of cities to undertake relevant projects
The available technical data has been evaluated methodically for each of the five cities. The following data categories were used in data collection.
1 Geographical data; The locality of the city province in Thailand, physical features
such as rivers, lagoons, water bodies, boundaries on Province, municipal area, Amp hoe, and Tambon
2 Building footprint maps produced by National Housing Authority
3 Infrastructure and utility data; - roads, water supply, transportation,
4 Land use planning; urban built up area, housing and buildings, productive sectors
such as agriculture, tourism, industry 5
Meteorological data; Temperature, precipitation, wind parameters 6
Pollution data; air quality, surface water ground water data 7
Disaster related information; losses, affected numbers, agricultural areas records 8
Health event data: Seasonal disorders such as Malaria, Dengue, Chikungunya, Lepropitis
Considering the urban Land use planning data, sub-indicators identified are: land uses over the past 20 years and existing land use projections; physical coverage of the different
productive sectors; availability of land for new developments etc. In terms of disaster related information following data categories have been used; records on past disasters, past losses
and damages. It was planned to collect such information over the past 25 years but later it
14 was found that the data is available only with DDPM they started systematic collection and
recording of data after establishment of the institution and they can provide authentic data only for the years they have in their database. ADPC study team could acquire adequate
information only for the past 5 years.
The first above mentioned five categories have been presented as GIS maps and overlaid with hazard maps when available. The percentage of different building typologies has been
analyzed to see what category of buildings is located in hazard prone areas for respective types of hazards. For Meteorological data, six sub-indicators have been identified and
evaluated according to see the trends to project the future scenarios. They are: variations over annual mean temperature, variations over seasonal mean temperature During hot weather
season and cold weather season, and variations over extreme temperature T max and T min, variations over frequency Number of extreme cold warm days
Similarly, Precipitation data also categorized in to few sub parameters: variations in seasonal and annual mean precipitation, frequency on deficiency rain fall or drought, variation on the
number of rainy days and variations over intense precipitation days heavy, moderate, light.
3.5 Identification of source agencies
