Journal Issue: EnNRJ Vol. 17 No. 2
1
Issued Date
2019
Resource Type
Language
tha
eng
eng
File Type
application/pdf
Access Rights
open access
Rights
ผลงานนี้เป็นลิขสิทธิ์ของมหาวิทยาลัยมหิดล ขอสงวนไว้สำหรับเพื่อการศึกษาเท่านั้น ต้องอ้างอิงแหล่งที่มา ห้ามดัดแปลงเนื้อหา และห้ามนำไปใช้เพื่อการค้า
Rights Holder(s)
Faculty of Environment and Resource Studies Mahidol University
Journal Volume
EnNRJ Volume 17
(2019)
Articles
Evaluating Traditional Knowledge on Climate Change (TKCC): A Case Study in the Central Dry Zone of Myanmar
(2019) Wai Yar Lin Zin; Piyakarn Teartisup; Prapeut Kerdseub; Mahidol University. Faculty of Environment and Resource Studies
Local people in the Central Dry Zone (CDZ) of Myanmar have been facing climatic variability for several decades. They are among the first communities to observe climate and environmental changes first-hand, and are applying traditional knowledge and skills in order to adapt to these changes. We used participatory action research in which a series of group discussions and debates were conducted in community workshops at the village level. Using this input, we analysed the perceptions of the local people about climate variability, impacts, and adaptation practices. The majority of the local people perceived climate change patterns in the CDZ with the increase of temperature and erratic rainfall patterns perceived as the most critical changes. The majority of the people also perceived that the impacts of climate change have already been affecting agriculture and its related sectors, including land and water resources and their livelihood strategies. Most of the local people also perceived that migration of young people away from the communities has gradually increased due to the consequences of climate change impacts. Farmers have already been attempting to cope with those climate change impacts by using locally relevant adaptation measures such as mixed and multiple cropping systems, changing to drought-resistant plant varieties, and using soil conservation measures to cope with water scarcity. In addition, most of the local people perceived that getting information from traditional weather prediction was helpful to cope with drought and erratic rainfall patterns. However, the results suggest the adaptive capacity of the local people in responding to the impacts of climate change can be improved. In this regard, effective adaptation planning relies on the best available knowledge base, and the urgent need to respond to the pressures of climate change has put a premium on the generation, interpretation and use of information to improve adaptive capacity, including improved access to scaling up the traditional best practices of local people.
Modelling Assessment of Sandy Beaches Erosion in Thailand
(2019) Hiripong Thepsiriamnuay; Nathsuda Pumijumnong; Mahidol University. Faculty of Environment and Resource Studies
This paper focuses on the spatial and temporal aspects of rising sea levels and sandy beach erosion in Thailand. The major scientific challenge tackled in this paper was to distinguish the relevance and contribution of sea level rise (including storms) to beach erosion. The Simulator of Climate Change Risks and Adaptation Initiatives (SimCLIM) and its’ impact model (CoastCLIM) with two representative concentration pathway (RCP) scenarios (RCP2.6 and RCP8.5) was utilized to forecast changes in sea level and shoreline between the years 1940-2100. Input parameters underlying the modified Brunn Rule were applied (e.g., coastal and storm characteristics). Moreover, sand loss and forced people migration were estimated using fundamental equations. The sea level is predicted to rise by 147.90 cm and the coastline will be eroded around 517.09 m by 2100, compared to levels in 1995. This level of erosion could lead to a decrease of the coastal sandy area by about 2.69 km2and a population of 873 people, over the same period. In scientific terms, this paper quantifies the contribution and relevance of sea-level rise (SLR) to sandy beach erosion compared to other factors, including ad-hoc short-term impacts from stochastic storminess. The results also showed that 8.02 and 23.26 percent of erosion was attributed to storms and sea-level rise, respectively. Nevertheless, limited multi-century data of residual movement in Thailand could create uncertainties in distinguishing relative contributions. These results could be beneficial to national-scale data and the adaptation planning processes in Thailand.
Title
EnNRJ Vol. 17 No. 2
Author's Affiliation
Mahidol University. Faculty of Environment and Resource Studies
มหาวิทยาลัยมหิดล. คณะสิ่งแวดล้อมและทรัพยากรศาสตร์
มหาวิทยาลัยมหิดล. คณะสิ่งแวดล้อมและทรัพยากรศาสตร์
Keyword(s)
Climate change
Biodiversity
Disaster
Ecological
Environmental modelling
Environmental dynamics
Environmental pollution
Emerging contaminants
Transboundary pollution
Waste and wastewater treatments
Hazardous wastes
Natural resource management
Multidisciplinary sciences
Environment and Natural Resources Journal
Biodiversity
Disaster
Ecological
Environmental modelling
Environmental dynamics
Environmental pollution
Emerging contaminants
Transboundary pollution
Waste and wastewater treatments
Hazardous wastes
Natural resource management
Multidisciplinary sciences
Environment and Natural Resources Journal