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| DOI | 10.1016/j.rsma.2024.103508 |
| Linear and non-linear trends of sea level from tide gauges along the coastline of Bangladesh | |
| 发表日期 | 2024 |
| ISSN | 2352-4855 |
| 起始页码 | 73 |
| 卷号 | 73 |
| 英文摘要 | Global sea level rise and acceleration are crucial climate change indicators, but assessing regional and local impacts demands precise, adaptive trend estimation. Traditional methods like least squares fitting struggle with non-linear variations and integrating prior information. This hampers accuracy and flexibility in modeling sea level changes. Empirical Mode Decomposition (EMD), an adaptive, data -driven signal processing approach, addresses these challenges without requiring prior knowledge of signal structure. EMD proves highly effective for analyzing non -stationary, non-linear signals associated with anthropogenic climate change. Tide gauge stations around the Bay of Bengal have been recording data for varying years. This study aims to assess the trend and acceleration of sea levels by utilizing the existing data record. Linear and polynomial regression analyses, along with EMD to eliminate long-term sea level variations, were applied to analyze the available data. Tide records from seven selected stations, spanning the entire coastline of Bangladesh, were incorporated in the analysis. The trend of annual high, mean, and low tidal water levels was estimated using both the linear and non-linear methods. The results revealed a steady rise in sea levels at all the selected stations, regardless of the method used. The three coastal zones of Bangladesh depict different variations in sea level rise (SLR) patterns. The sea level rise in the Ganges Tidal Floodplain is 5.26 mm/year, with a range from 3.06 to 7.33 mm/year. Similarly, the Chittagong Coastal Plain exhibits a rate of 3.75 mm/year, ranging from 0.07 to 3.75 mm/year. The Meghna Estuarine Floodplain experiences a rise of 6.10 mm/year, ranging from 5.61 to 10.09 mm/year, all based on a non-linear analysis. Additionally, when comparing results from EMD and regression analysis, consistent trends were observed. The location -specific SLR in this research offers valuable insights for planners and policymakers for better understanding and plan for subsequent measures. |
| 英文关键词 | Sea level rise; Sea level acceleration; Linear trend; Empirical Mode Decomposition; Bay of Bengal |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology |
| WOS类目 | Ecology ; Marine & Freshwater Biology |
| WOS记录号 | WOS:001226985400001 |
| 来源期刊 | REGIONAL STUDIES IN MARINE SCIENCE
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/287507 |
| 推荐引用方式 GB/T 7714 | . Linear and non-linear trends of sea level from tide gauges along the coastline of Bangladesh[J],2024,73. |
| APA | (2024).Linear and non-linear trends of sea level from tide gauges along the coastline of Bangladesh.REGIONAL STUDIES IN MARINE SCIENCE,73. |
| MLA | "Linear and non-linear trends of sea level from tide gauges along the coastline of Bangladesh".REGIONAL STUDIES IN MARINE SCIENCE 73(2024). |
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