https://scholars.lib.ntu.edu.tw/handle/123456789/87448
標題: | Understanding Space-time Patterns of Groundwater System by Empirical Orthogonal Functions: a Case Study in the Choshui River Alluvial Fan, Taiwan | 作者: | Yu, Hwa-Lung Chu, Hone-Jay |
關鍵字: | Bayesian maximum entropy; Choshui River alluvial fan; Empirical orthogonal function; Groundwater; Space-time data analysis | 公開日期: | 2009 | 卷: | 381 | 期: | 3��4�� | 起(迄)頁: | 239-247 | 來源出版物: | Journal of Hydrology | 摘要: | Natural or anthropogenic activities contribute to changes of groundwater levels in space and time. Understanding the major and significant driving forces to changes in space-time patterns of groundwater levels is essential to groundwater management. This study analyzes monthly observations of piezometric heads from 66 wells during 1997-2002 located in the Choshui River alluvial fan of Taiwan, where groundwater has been the important local water resource for myriads of agricultural or industrial demands. Following spatiotemporal estimations of piezometric heads by Bayesian Maximum Entropy method (BME), this work performs rotated empirical orthogonal function (REOF) analysis to decompose the obtained space-time heads into a set of spatially distributed empirical orthogonal functions (EOFs) and their associated uncorrelated time series. Results show that the leading EOFs represent the most significant driving forces to spatiotemporal changes of groundwater levels in the Choshui River aquifer. These include rainfall recharges from upstream Choshui and Pei-Kang River, pumping activities from aquaculture usages in the coastal areas, as well as water exchanges between surface and subsurface flow of Choshui River. In summary, this study shows the strength of the REOF analysis which can effectively provide integrative views of spatiotemporal changes of groundwater, gaining insights of interactions between the groundwater system and other natural and human activities. © 2009 Elsevier B.V. All rights reserved. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/176436 http://ntur.lib.ntu.edu.tw/bitstream/246246/176436/1/02.pdf |
DOI: | 10.1016/j.jhydrol.2009.11.046 | SDG/關鍵字: | Alluvial fans; Bayesian maximum entropies; Choshui River; Data analysis; Empirical Orthogonal Function; Agriculture; Aquaculture; Aquifers; Bayesian networks; Coastal zones; Data handling; Entropy; Fourier analysis; Hydrogeology; Landforms; Nanofluidics; Orthogonal functions; Rivers; Time series; Time series analysis; Water management; Groundwater resources; alluvial fan; Bayesian analysis; coastal zone; entropy; groundwater flow; human activity; resource management; spatiotemporal analysis; subsurface flow; time series; water exchange; Choshui River; Peikang River; Taiwan |
顯示於: | 生物環境系統工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。