Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis
Myanmar (Burma) is traditionally an agriculture-based country. However, irrigation is not available in most of its agricultural lands. This study focuses on the Central Dry Zone (CDZ), which is the driest part of Myanmar. Exploratory data analysis, semivariogram analysis and modeling, K-means cluste...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2017-01-01
|
| Series: | Terrestrial, Atmospheric and Oceanic Sciences |
| Online Access: |
http://tao.cgu.org.tw/media/k2/attachments/v283p425.pdf
|
| _version_ | 1818247407387803648 |
|---|---|
| author | Mya Thandar Toe Mamoru Kanzaki Tsung-Hsun Lien Ke-Sheng Cheng |
| author_facet | Mya Thandar Toe Mamoru Kanzaki Tsung-Hsun Lien Ke-Sheng Cheng |
| author_sort | Mya Thandar Toe |
| collection | DOAJ |
| description | Myanmar (Burma) is traditionally an agriculture-based country. However, irrigation is not available in most of its agricultural lands. This study focuses on the Central Dry Zone (CDZ), which is the driest part of Myanmar. Exploratory data analysis, semivariogram analysis and modeling, K-means cluster analysis and principal component analysis were conducted in this study to investigate the general CDZ climatology. The spatial and temporal rainfall variation patterns of different scales, including daily, event-scale and monthly rainfall are studied. A climatological monsoon break divides the wet season into two peaks. The monsoon break is the result of different climate dynamics â May-to-June period monsoon southwesterly and August-to-October period tropical cyclone vorticity. Rainfall stations in different clusters identified by the K-means cluster analysis reflect the orographic effect and different climate dynamics, which influence the spatial and temporal rainfall variation patterns in the CDZ. Principal component analysis results for average monthly rainfall reveals that the first principal component mainly explains the spatial variabilities in average monthly rainfall in the CDZ. The second principal component explains the seasonal (temporal) variation in average monthly rainfall. It was found that during the wet season, spatial rainfall variations in the CDZ are more significant than the seasonal (temporal) rainfall variation. Understanding the spatial and temporal variability in CDZ rainfall can provide valuable information on potential water availability in both the time and spatial domains, which will then enable making sound cropland planning and forest management decisions. |
| first_indexed | 2024-12-12T15:04:13Z |
| format | Article |
| id | doaj.art-adf9c75a0c94424eb2eebb472114eb80 |
| institution | Directory Open Access Journal |
| issn | 1017-0839 2311-7680 |
| language | English |
| last_indexed | 2024-12-12T15:04:13Z |
| publishDate | 2017-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Terrestrial, Atmospheric and Oceanic Sciences |
| spelling | doaj.art-adf9c75a0c94424eb2eebb472114eb802022-12-22T00:20:45ZengSpringerTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802017-01-0128342510.3319/TAO.2016.02.15.01(Hy)Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysisMya Thandar ToeMamoru KanzakiTsung-Hsun LienKe-Sheng ChengMyanmar (Burma) is traditionally an agriculture-based country. However, irrigation is not available in most of its agricultural lands. This study focuses on the Central Dry Zone (CDZ), which is the driest part of Myanmar. Exploratory data analysis, semivariogram analysis and modeling, K-means cluster analysis and principal component analysis were conducted in this study to investigate the general CDZ climatology. The spatial and temporal rainfall variation patterns of different scales, including daily, event-scale and monthly rainfall are studied. A climatological monsoon break divides the wet season into two peaks. The monsoon break is the result of different climate dynamics â May-to-June period monsoon southwesterly and August-to-October period tropical cyclone vorticity. Rainfall stations in different clusters identified by the K-means cluster analysis reflect the orographic effect and different climate dynamics, which influence the spatial and temporal rainfall variation patterns in the CDZ. Principal component analysis results for average monthly rainfall reveals that the first principal component mainly explains the spatial variabilities in average monthly rainfall in the CDZ. The second principal component explains the seasonal (temporal) variation in average monthly rainfall. It was found that during the wet season, spatial rainfall variations in the CDZ are more significant than the seasonal (temporal) rainfall variation. Understanding the spatial and temporal variability in CDZ rainfall can provide valuable information on potential water availability in both the time and spatial domains, which will then enable making sound cropland planning and forest management decisions. http://tao.cgu.org.tw/media/k2/attachments/v283p425.pdf |
| spellingShingle | Mya Thandar Toe Mamoru Kanzaki Tsung-Hsun Lien Ke-Sheng Cheng Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis Terrestrial, Atmospheric and Oceanic Sciences |
| title | Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis |
| title_full | Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis |
| title_fullStr | Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis |
| title_full_unstemmed | Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis |
| title_short | Spatial and temporal rainfall patterns in Central Dry Zone, Myanmar - A hydrological cross-scale analysis |
| title_sort | spatial and temporal rainfall patterns in central dry zone myanmar a hydrological cross scale analysis |
| url |
http://tao.cgu.org.tw/media/k2/attachments/v283p425.pdf
|
| work_keys_str_mv | AT myathandartoe spatialandtemporalrainfallpatternsincentraldryzonemyanmarahydrologicalcrossscaleanalysis AT mamorukanzaki spatialandtemporalrainfallpatternsincentraldryzonemyanmarahydrologicalcrossscaleanalysis AT tsunghsunlien spatialandtemporalrainfallpatternsincentraldryzonemyanmarahydrologicalcrossscaleanalysis AT keshengcheng spatialandtemporalrainfallpatternsincentraldryzonemyanmarahydrologicalcrossscaleanalysis |