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
The following technical source agencies and organisations were identified as potential data sources to obtain relevant data.
• Dept of Public Works and Town and Country Planning
• Dept of Natural Resources and Environment
• Geo- Informatics and Space Technology Development Agency GISTDA
• Thai Meteorological Department
• National Housing Authority
• Dept of Disaster Preparedness and Mitigation DDPM
• Pollution Control Dept
• Royal Thai Navy
• Irrigation Dept
• Dept of Mineral Resources; Mekong River Commission
• Ministry of Health
ADPC had good working relationship with some agencies but with some other agencies ADPC team had to establish new partnerships or sign MOU to collect data. The procedural
problems created some delays but all agencies were corporative and supportive.
15
3.6 Establishment of survey teams and conducting survey
Survey team members were selected from in-house staff of ADPC and thro’ short term hire and survey teams were provided with a comprehensive awareness and training on conducting
the desk survey and subsequent field verifications. Each study team was headed by a specialist and other members included were research assistantscoordinators. Appraisal on the
indicators, data quality, quantity and manners to conduct a survey was arranged to foster a common framework among the survey team members.
A Meteorology and air and water quality related desk studies were carried out initially by Research assistants to avail information on climate related parameters and to identify best
sources. Subsequently, ADPC has employed subject specialists to verify the relevant information needed for the study as there were several data sets obtained from different data
collection centres and to conduct the scenario assessment.
3.7 Analysis of data
Gathered information and data were thoroughly examined by ADPC team with a broad focus on whether the cityprovince is prone to single hazard or multiple hazards; whether the
Climate Change impacts at present are prominent or minor. More than one hazard will give more visibility and possibility for easy replication.
i. Vulnerability to disasters During the process of analysing, ADPC has observed that floods. Landslides,
droughts and cyclones are the recurring major natural disasters in the selected provinces. Information recorded are mainly from 2000 – 2008 with details of the
number of events, number of people affected, number of households affected, area of agriculture affected and the estimated losses. Although the information is available for
damaged infrastructure, it was not possible to arrive at a qualitative or quantities assessment as the units measured were so broad. For example, the extent of roads
damaged is indicated as a number which is difficult in evaluation as the category and the length of the road was not specified. In some cases data for flash floods and
landslides were given as a combined loss. In the same way fire incidents have been recorded without identifying the same as a man-made event or natural event. How
ever, ADPC team considers that the available data assessment is adequate for the phase 1.
ii.Climate change scenario study ADPC team was able to collect data for the last 29 years 1980 – 2008 with details of
precipitation and temperature as main parameters. For a comprehensive study, data were accessible and obtainable even to a level of details up to daily as well as monthly
mean values. Accordingly, analysis for temperature variations for annual mean temperature, annual maximum and minimum temperatures, and monthly mean
temperatures for cold weather season and hot weather seasons could be undertaken.
16 Similarly, precipitation data were also recorded and scrutinized for variations over
average annual rain fall, heavy and very heavy rain fall intensities during monsoon seasons.
3.8 Scoring and methodology for prioritization
