This document summarizes a study that assessed meteorological drought hazards in Thailand's eastern region. The study analyzed historical precipitation data to calculate standardized precipitation indices (SPI) and simulate drought characteristics like duration, events, intensity and severity. Results showed medium to high drought hazard levels in certain provinces in May 2015. Analysis of drought characteristics from 1960-2000s found a slight increase over time.
Presentation made at the expert meeting organised jointly by the European Commission, the OECD and the project PLACARD, in Paris 26th -28th October 2016. For more information see www.oecd.org/gov/risk/joint-expert-meeting-on-disaster-loss-data.htm
Evaporation and Production Efficiency Modelling Using Fuzzy Linear RecurrenceAI Publications
The relationship between crop production and amount of evapotranspiration is very important to agronomists, engineers, economists, and water resources planners. These relationships are often determined using classical least square regression (LSR). However, one needs high amount of samples to determine probability distribution function. Linear regression also requires so many measurements to obtain the valid estimates of crop production function coefficients. In addition, deriving ET-yield regression for each crop and each district is usually expensive, since lysimetric experiments should be repeated for several years for each crop. The object of this study is to introduce a fuzzy linear regression as an alternative approach to statistical regression analysis in determining coefficients of ET- yield relations for each crop and each district with minimum data. The application of possibilistic regression has been examined with a case study. Two data set for winter wheat in Loss Plateau of China and North China Plain have been used. The current finding shows capability of possibilistic regression in estimation of crop yield in data shortage conditions.
India monsoon mission 2012 - GOI ProgrammeSheeti Das
For Information The Government India's initiative to to better predict the phenomena of monsoon, which has a great economic and environmental signifacance to the Indian subcontinent
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติครั้ง 26 กลุ่มวิศวกรรมแหล่งน้ำ วิศวกรรมโยธากับการศึกษา วิศวกรรมวัสดุก่อสร้าง วันที่ 24-25 มิถุนายน 2564 ในรูปแบบออนไลน์
หัวข้อ Assessment of Future Drought Hazard to Agricultural Area in Mun River Basin, Thailand
การนำเสนอบทความวิชาการในการประชุมวิชาการ ICUE 2020 on Energy, Environment, and Climate Change International Conference
ระหว่างวันที่ 20-22 ตุลาคม 2563 ในรูปแบบออนไลน์
หัวข้อ Meteorological Drought Hazard Assessment under Future Climate Change Prediction for Agriculture Area in Songkhram River Basin, Thailand
การนำเสนอบทความวิชาการในการประชุมวิชาการ 15th GMSARN International Conference 2020 on “Sustainable Energy, Environment and Climate Change Transitions in GMS” 21-22 December 2020, Krungsri River Hotel, Phra Nakhon Si Ayutthaya, Thailand. ในรูปแบบออนไลน์
หัวข้อ Integration of Future Meteorological Drought Hazard Assessment for Agriculture Area in Upper Ping River Basin, Thailand
Through a course at Columbia University, five teammates and I wrote a mock USAID project proposal following the agency's official proposal guidelines. We assessed regional climate variability in the Mekong Delta and the impacts of this variability on food security for smallholder farmers. Our proposal recommended three interventions to improve food security and included a project timeline, budget, and methodology for monitoring and evaluation.
My role included contributing to a synopsis of future climate projections and their impacts, describing the region's climatology using information from the International Research Institute for Climate and Society's Data Library (http://iridl.ldeo.columbia.edu/maproom/Global/Climatologies), and creating a monitoring and evaluation assessment table.
*Team members are listed alphabetically, not in order of contributions.
Presentation made at the expert meeting organised jointly by the European Commission, the OECD and the project PLACARD, in Paris 26th -28th October 2016. For more information see www.oecd.org/gov/risk/joint-expert-meeting-on-disaster-loss-data.htm
Evaporation and Production Efficiency Modelling Using Fuzzy Linear RecurrenceAI Publications
The relationship between crop production and amount of evapotranspiration is very important to agronomists, engineers, economists, and water resources planners. These relationships are often determined using classical least square regression (LSR). However, one needs high amount of samples to determine probability distribution function. Linear regression also requires so many measurements to obtain the valid estimates of crop production function coefficients. In addition, deriving ET-yield regression for each crop and each district is usually expensive, since lysimetric experiments should be repeated for several years for each crop. The object of this study is to introduce a fuzzy linear regression as an alternative approach to statistical regression analysis in determining coefficients of ET- yield relations for each crop and each district with minimum data. The application of possibilistic regression has been examined with a case study. Two data set for winter wheat in Loss Plateau of China and North China Plain have been used. The current finding shows capability of possibilistic regression in estimation of crop yield in data shortage conditions.
India monsoon mission 2012 - GOI ProgrammeSheeti Das
For Information The Government India's initiative to to better predict the phenomena of monsoon, which has a great economic and environmental signifacance to the Indian subcontinent
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติครั้ง 26 กลุ่มวิศวกรรมแหล่งน้ำ วิศวกรรมโยธากับการศึกษา วิศวกรรมวัสดุก่อสร้าง วันที่ 24-25 มิถุนายน 2564 ในรูปแบบออนไลน์
หัวข้อ Assessment of Future Drought Hazard to Agricultural Area in Mun River Basin, Thailand
การนำเสนอบทความวิชาการในการประชุมวิชาการ ICUE 2020 on Energy, Environment, and Climate Change International Conference
ระหว่างวันที่ 20-22 ตุลาคม 2563 ในรูปแบบออนไลน์
หัวข้อ Meteorological Drought Hazard Assessment under Future Climate Change Prediction for Agriculture Area in Songkhram River Basin, Thailand
การนำเสนอบทความวิชาการในการประชุมวิชาการ 15th GMSARN International Conference 2020 on “Sustainable Energy, Environment and Climate Change Transitions in GMS” 21-22 December 2020, Krungsri River Hotel, Phra Nakhon Si Ayutthaya, Thailand. ในรูปแบบออนไลน์
หัวข้อ Integration of Future Meteorological Drought Hazard Assessment for Agriculture Area in Upper Ping River Basin, Thailand
Through a course at Columbia University, five teammates and I wrote a mock USAID project proposal following the agency's official proposal guidelines. We assessed regional climate variability in the Mekong Delta and the impacts of this variability on food security for smallholder farmers. Our proposal recommended three interventions to improve food security and included a project timeline, budget, and methodology for monitoring and evaluation.
My role included contributing to a synopsis of future climate projections and their impacts, describing the region's climatology using information from the International Research Institute for Climate and Society's Data Library (http://iridl.ldeo.columbia.edu/maproom/Global/Climatologies), and creating a monitoring and evaluation assessment table.
*Team members are listed alphabetically, not in order of contributions.
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 25
ระหว่างวันที่ 15-17 กรกฎาคม 2563 ในรูปแบบออนไลน์ จังหวัดชลบุรี
หัวข้อ Impacts of Future Climate Change on Inflow to Pasak Jolasid Dam
in Pasak River Basin, Thailand
Budget Allocation Assessment for Water Resources Project in Thailand Using GI...drboon
During the last 5 years, Thailand has allocated water budget to mitigate water resources problems totally THB 100,460 million (US$31264 million). However, it is found no study to assess whether such allocation corresponds to the problems or to water demand. This study, therefore, assesses appropriateness of the budget allocation to 25 major basins in Thailand by applying the concept of Water Poverty Index (WPI). WPI is developed by Sullivan (2002) consisting of five main factors of Resources (R), Access (A), Capacity (C), Use (U) and Environment (E). Sub-factors of 22 variables have also been selected based on the physical and geographical characteristics of 25 major river basins. Data are scored for priority. GIS is cooperated the results of water shortage area according to priority on basin basis. It is found that WPI scores of Mae Nam Pattani, Mae Nam Kok, Peninsula - West Coast, Mae Nam Mun, Mae Nam Chi, Mae Nam Salawin and Mae Nam Khong (Northeast) were low, which reflected a higher level of water shortage than other basins. By considering water budget allocation per capita, it was found that Mae Nam Kok, Mae Nam Chi, Mae Nam Mun, were allocated less budget compared to other basins. Thus, water budget allocation is inconsistent with the water poverty index. However, the WPI scoring system is based only on water poverty. Future study should integration of disaster index into the scoring system, to improve the efficiency of budget allocation system.
The Key Final Results draws from and summarizes the methodology and key basin-wide results generated by the USAID Mekong ARCC Climate Change Impact and Adaptation Study for the Lower Mekong Basin and updates the Key Initial Results document prepared in March 2013. This publication employs maps, charts, and graphics to provide a snapshot view of how projected climate changes in the Lower Mekong Basin would impact key livelihood sectors. Visit the website for more information: http://mekongarcc.net/resource/key-final-results.
Complete information on the USAID Mekong ARCC Climate Study can be found in the full report and summary report (http://bit.ly/1dczzRP).
The presentation presented the the Climate Change Conference in Korea, organized by Department of climate change, Kyungpook National University, Daegu. It describes the policy and practice of climate in Nepal in particular reference to the Agriculture.
Factors of climate extremes hyperactivity: a study on MENAPremier Publishers
It is hard to say that all climate events are entirely related to global warming. In this regard, models usually used for global warming predictions are not appropriate for some of climate trends. For instance, prolonged drought in MENA region could not be analyses by global warming predictions. It seems the climate condition in this region is better understood by using the new concept “climate hyperactivity” rather than using the usual global warming predictions. Drought in MENA region is different with other precipitation and temperature rates throughout the world. On one hand, MENA drought is not nonlinear and is not a sudden climate change. On the other hand, there is no sign of reversibility or temporality of climate change in MENA; therefore it is not a macro-climate change either. In fact, MENA drought is a type of hyperactivity of normal behavior of climate factors which leads to a new normal climate in the region. According to Paleo-climate studies, in previous millennia, some kinds of similar climate hyperactivity has led the region to a drier and hotter climate. Rather than focusing on epistemology of climate change, this article compares MENA’s drought with the dominant paradigm of climate change which is concentrated on global warming and greenhouse effect. According to climate factors, the region’s climate change is more effected by natural and climate factors than greenhouse effects.
NAP Training Viet Nam - Vulnerability and Adapting to Climate ChangeUNDP Climate
This two-day workshop supported the Government of Viet Nam in building the necessary capacity to advance its National Adaptation Plan (NAP) process. The workshop closely focused on building National Adaptation Plans in the agricultural sector through multi-stakeholder collaboration, and increased knowledge and capacity on a number of topics including: prioritization of adaptation options, cost-benefit analysis, overview of the broad-based nature of climate change adaption impacts, analysis of challenges, and creation of an open discussion with key stakeholders on defining a road-map for the NAP process. The workshop was delivered using discussions and case studies to enhance interactive learning for participants, with supporting presentations by GiZ and SNV.
Flood is one of the natural disaster known to be part of the earth biophysical processes, which its occurrence can be devastating; due to mostly anthropogenic activities and climatological factors. The aim of the research is to identify and map the extent at which the impact of flood due to intense rainfall and rise in water in the study area using geospatial techniques and the specific objectives are to carry out terrain analysis of the study area and to generate flood indicator maps of the study area. The study analyzed rain fall data;, the drainage system and Shuttle Radar Topographic Mission (SRTM 30m) of the area. ArcGIS 10.8 was to modelled and to generate the contributing factors map of the study area. The drainage system was generated through on-screen digitization of topographic map of scale 1:50,000 of Ondo South-West. The mean annual rainfall of Lagos State was generated in the ArcGIS environment from the rainfall data through spatial analysis tool. The SRTM was used in terrain analysis of the study area. The results generated showed the lowest mean annual rain fall of the area 1,700mm and the highest mean annual rain fall was 2,440mm. Digital elevation model (DEM), slope, flow direction were generated from the SRTM. Drainage density of the area was generated using the drainage system. The slope map of the entire area which are classified into five slope classes of very high (14%-48.5%) to high (7.6%-13.9%) to moderately high (4.2%-7.6%) to low (1.5%-4.2%) and very low (0. % - 1.2%).
Drought Risk Analysis, Forecasting and Assessment.pdfssuser3f22f9
Climate change is undoubtedly one of the world’s biggest challenges in the 21st century.
Drought risk analysis, forecasting and assessment are facing rapid expansion, not only from theoretical
but also practical points of view. Accurate monitoring, forecasting and comprehensive assessments
are of the utmost importance for reliable drought-related decision-making. The framework of drought
risk analysis provides a unified and coherent approach to solving inference and decision-making
problems under uncertainty due to climate change, such as hydro-meteorological modeling, drought
frequency estimation, hybrid models of forecasting and water resource management. This Special
Issue will provide researchers with a summary of the latest drought research developments in order to
identify and understand the profound impacts of climate change on drought risks and water resources.
The ten peer-reviewed articles collected in this Special Issue present novel drought monitoring
and forecasting approaches, unique methods for drought risk estimation and creative frameworks
for environmental change assessment. These articles will serve as valuable references for future
drought-related disaster mitigations, climate change interconnections and food productivity impacts.
การนำเสนอบทความวิชาการในการประชุมวิชาการ 15th GMSARN International Conference 2020 on “Sustainable Energy, Environment and Climate Change Transitions in GMS” 21-22 December 2020, Krungsri River Hotel, Phra Nakhon Si Ayutthaya, Thailand. ในรูปแบบออนไลน์
หัวข้อ Prediction of Future Inflow Discharge to Sirikit Dam under Climate
and Land Use Change Projections, Upper Nan River Basin, Thailand
การนำเสนอบทความวิชาการในการประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 25
ระหว่างวันที่ 15-17 กรกฎาคม 2563 ในรูปแบบออนไลน์ จังหวัดชลบุรี
หัวข้อ Impacts of Future Climate Change on Inflow to Pasak Jolasid Dam
in Pasak River Basin, Thailand
Budget Allocation Assessment for Water Resources Project in Thailand Using GI...drboon
During the last 5 years, Thailand has allocated water budget to mitigate water resources problems totally THB 100,460 million (US$31264 million). However, it is found no study to assess whether such allocation corresponds to the problems or to water demand. This study, therefore, assesses appropriateness of the budget allocation to 25 major basins in Thailand by applying the concept of Water Poverty Index (WPI). WPI is developed by Sullivan (2002) consisting of five main factors of Resources (R), Access (A), Capacity (C), Use (U) and Environment (E). Sub-factors of 22 variables have also been selected based on the physical and geographical characteristics of 25 major river basins. Data are scored for priority. GIS is cooperated the results of water shortage area according to priority on basin basis. It is found that WPI scores of Mae Nam Pattani, Mae Nam Kok, Peninsula - West Coast, Mae Nam Mun, Mae Nam Chi, Mae Nam Salawin and Mae Nam Khong (Northeast) were low, which reflected a higher level of water shortage than other basins. By considering water budget allocation per capita, it was found that Mae Nam Kok, Mae Nam Chi, Mae Nam Mun, were allocated less budget compared to other basins. Thus, water budget allocation is inconsistent with the water poverty index. However, the WPI scoring system is based only on water poverty. Future study should integration of disaster index into the scoring system, to improve the efficiency of budget allocation system.
The Key Final Results draws from and summarizes the methodology and key basin-wide results generated by the USAID Mekong ARCC Climate Change Impact and Adaptation Study for the Lower Mekong Basin and updates the Key Initial Results document prepared in March 2013. This publication employs maps, charts, and graphics to provide a snapshot view of how projected climate changes in the Lower Mekong Basin would impact key livelihood sectors. Visit the website for more information: http://mekongarcc.net/resource/key-final-results.
Complete information on the USAID Mekong ARCC Climate Study can be found in the full report and summary report (http://bit.ly/1dczzRP).
The presentation presented the the Climate Change Conference in Korea, organized by Department of climate change, Kyungpook National University, Daegu. It describes the policy and practice of climate in Nepal in particular reference to the Agriculture.
Factors of climate extremes hyperactivity: a study on MENAPremier Publishers
It is hard to say that all climate events are entirely related to global warming. In this regard, models usually used for global warming predictions are not appropriate for some of climate trends. For instance, prolonged drought in MENA region could not be analyses by global warming predictions. It seems the climate condition in this region is better understood by using the new concept “climate hyperactivity” rather than using the usual global warming predictions. Drought in MENA region is different with other precipitation and temperature rates throughout the world. On one hand, MENA drought is not nonlinear and is not a sudden climate change. On the other hand, there is no sign of reversibility or temporality of climate change in MENA; therefore it is not a macro-climate change either. In fact, MENA drought is a type of hyperactivity of normal behavior of climate factors which leads to a new normal climate in the region. According to Paleo-climate studies, in previous millennia, some kinds of similar climate hyperactivity has led the region to a drier and hotter climate. Rather than focusing on epistemology of climate change, this article compares MENA’s drought with the dominant paradigm of climate change which is concentrated on global warming and greenhouse effect. According to climate factors, the region’s climate change is more effected by natural and climate factors than greenhouse effects.
NAP Training Viet Nam - Vulnerability and Adapting to Climate ChangeUNDP Climate
This two-day workshop supported the Government of Viet Nam in building the necessary capacity to advance its National Adaptation Plan (NAP) process. The workshop closely focused on building National Adaptation Plans in the agricultural sector through multi-stakeholder collaboration, and increased knowledge and capacity on a number of topics including: prioritization of adaptation options, cost-benefit analysis, overview of the broad-based nature of climate change adaption impacts, analysis of challenges, and creation of an open discussion with key stakeholders on defining a road-map for the NAP process. The workshop was delivered using discussions and case studies to enhance interactive learning for participants, with supporting presentations by GiZ and SNV.
Flood is one of the natural disaster known to be part of the earth biophysical processes, which its occurrence can be devastating; due to mostly anthropogenic activities and climatological factors. The aim of the research is to identify and map the extent at which the impact of flood due to intense rainfall and rise in water in the study area using geospatial techniques and the specific objectives are to carry out terrain analysis of the study area and to generate flood indicator maps of the study area. The study analyzed rain fall data;, the drainage system and Shuttle Radar Topographic Mission (SRTM 30m) of the area. ArcGIS 10.8 was to modelled and to generate the contributing factors map of the study area. The drainage system was generated through on-screen digitization of topographic map of scale 1:50,000 of Ondo South-West. The mean annual rainfall of Lagos State was generated in the ArcGIS environment from the rainfall data through spatial analysis tool. The SRTM was used in terrain analysis of the study area. The results generated showed the lowest mean annual rain fall of the area 1,700mm and the highest mean annual rain fall was 2,440mm. Digital elevation model (DEM), slope, flow direction were generated from the SRTM. Drainage density of the area was generated using the drainage system. The slope map of the entire area which are classified into five slope classes of very high (14%-48.5%) to high (7.6%-13.9%) to moderately high (4.2%-7.6%) to low (1.5%-4.2%) and very low (0. % - 1.2%).
Drought Risk Analysis, Forecasting and Assessment.pdfssuser3f22f9
Climate change is undoubtedly one of the world’s biggest challenges in the 21st century.
Drought risk analysis, forecasting and assessment are facing rapid expansion, not only from theoretical
but also practical points of view. Accurate monitoring, forecasting and comprehensive assessments
are of the utmost importance for reliable drought-related decision-making. The framework of drought
risk analysis provides a unified and coherent approach to solving inference and decision-making
problems under uncertainty due to climate change, such as hydro-meteorological modeling, drought
frequency estimation, hybrid models of forecasting and water resource management. This Special
Issue will provide researchers with a summary of the latest drought research developments in order to
identify and understand the profound impacts of climate change on drought risks and water resources.
The ten peer-reviewed articles collected in this Special Issue present novel drought monitoring
and forecasting approaches, unique methods for drought risk estimation and creative frameworks
for environmental change assessment. These articles will serve as valuable references for future
drought-related disaster mitigations, climate change interconnections and food productivity impacts.
การนำเสนอบทความวิชาการในการประชุมวิชาการ 15th GMSARN International Conference 2020 on “Sustainable Energy, Environment and Climate Change Transitions in GMS” 21-22 December 2020, Krungsri River Hotel, Phra Nakhon Si Ayutthaya, Thailand. ในรูปแบบออนไลน์
หัวข้อ Prediction of Future Inflow Discharge to Sirikit Dam under Climate
and Land Use Change Projections, Upper Nan River Basin, Thailand
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This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
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Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
1. Meteorological Drought Hazard Assessment
for Agricultural Area in Eastern Region of Thailand
1 Department of Civil Engineering, Faculty of Engineering at Sriracha, Kasetsart University Sriracha Campus,
Chonburi, THAILAND
2 Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology,
Pathumthani, THAILAND
*Corresponding author; E-mail address: thanasit@eng.src.ku.ac.th
Thanasit Promping1 and Tawatchai Tingsanchali1,2
1
3. Introduction
3
Climate change around the world is caused by natural and by human activity changing.
IPCC (2019) reported an increase of 1.5°C to 2°C on average observed temperature at
present due to global warming
The changing of water cycle and meteorological phenomenon has effects on both
precipitation and temperature.
About 26 billion baht of on-season and off-season agricultural product was lost because
of severe drought in 2020.
Paddy field in 2017 covered about 18% of Thailand area or approximate 9.38 million
hectares that yields rice products to 25.24 million ton
Field crops and fruits (cassava, maize, sugar cane, pineapple and durian) are also main
agricultural products of Thailand. All of crops require a lot of water resources for
cultivation.
4. Objective
4
The main objective of this study is to simulate meteorological drought hazard based on past
precipitation data.
The sub-objectives of this study :
The evaluation of standardized precipitation index (SPI) from historical daily
precipitation data for the 4 timesteps namely; 1960s (1951-1970); 1980s (1971-1990);
2000s (1991-2010) and 2020s (2011-2017).
The theory of run is applied to evaluate drought parameters; duration (DD), drought
event (DE), drought intensity (DI) and drought severity (DS) based on the SPI values.
5. Study Area
5
The eastern region (ER) of Thailand with a total area of 36,502
kilometer is bounded by the Middle and Northeast region of
Thailand and the Banthat Mountain Range along the boundary
between Thailand and Cambodia. The Bangpakong, Chanthaburi
and Welu rivers located in north to south directions drain into
the Gulf of Thailand.
Figure: The Study Area in Eastern Region of Thailand
7. Result and Discussion
Estimated Standardized Precipitation Index
7
SPI-1
SPI-3
SPI-6
Figure: SPI-1, -3 and -6 (upper, middle and lower) at Prachin
Buri Meteorological Station.
Table: The average SPI Value in 1960s, 1980s, 2000s and 2020s
at Prachin Buri Meteorological Station.
8. Objective
Result and Discussion
Simulation Drought Hazard Maps
8
The drought hazard in May 2015 has very high
level at Sa Kaeo, Chachoengsao and Chon Buri
provinces and low hazard level in some parts of
Rayong, Chantha Buri and Trat provinces. The hazard
levels are classified into five levels and the area
percentages were found to be very low (0.05%); low
(12.80%); medium (49.11%); high (29.31%) and very
high (8.70%).
Figure: Meteorological Drought Hazard Map for SPI-1
in May 2015
13. Conclusion
13
The drought hazard in May 2015 has very high level at Sa Kaeo, Chachoengsao
and Chon Buri provinces and low hazard level in some parts of Rayong,
Chantha Buri and Trat provinces.
The hazard levels are classified into five levels and the area percentages were
found to be very low (0.05%); low (12.80%); medium (49.11%); high (29.31%)
and very high (8.70%).
The changing in drought characteristics is slightly increased and the hazard
level from 1.90 to 2.06 months (DD); 54 to 59 events (DE); -1.31 to -1.50 (DS); -
0.66 to -0.72 (DI) between the year periods 1960s and 2000s.