https://scholars.lib.ntu.edu.tw/handle/123456789/448920
標題: | Investigating the interactive mechanisms between surface water and groundwater over the Jhuoshuei river basin in central Taiwan | 作者: | FI-JOHN CHANG Lin C.-H. Chang K.-C. Kao Y.-H. Chang L.-C. |
關鍵字: | Artificial neural network; Groundwater level; Rainfall; Streamflow; Thiessen polygon method | 公開日期: | 2014 | 卷: | 12 | 期: | 3 | 起(迄)頁: | 365-377 | 來源出版物: | Paddy and Water Environment | 摘要: | In Taiwan, groundwater commonly becomes important water resources in dry periods, and/or areas lack of water storage facility due to its low cost, steady water supply and good water quality. However, improper groundwater development brings about serious decreases in groundwater levels and land subsidence which causes disasters, such as seawater intrusion or soil salination, accompanied with environmental and economic losses. It is critical to develop strategies for water resources conservation in mountainous areas. The complex heterogeneity of mountainous physiographic environment makes it challenging in the forecasts of groundwater level variations, particularly in mountainous areas. Artificial neural networks (ANNs) have been recognized as an effective modeling tool for complex nonlinear systems in the last two decades. This study aims to investigate the interactive mechanisms of groundwater at the mountainous areas of the Jhuoshuei river basin in central Taiwan through analyzing and modeling the groundwater level variations. Several issues are discussed in this study, which includes the correlation between groundwater level variation and rainfall as well as streamflow, the identification of groundwater recharge patterns and effective rainfall thresholds for estimating groundwater level variations. The results indicate: (1) the daily variation of groundwater level is closely correlated with river flow and one-day antecedent rainfall based on correlation analyses; (2) effective rainfall thresholds can be identified successfully; (3) groundwater level variations can be classified into four types for monitoring wells; and (4) the daily variations of groundwater level can be well estimated by constructed ANNs. The identified interactive mechanisms between surface water and groundwater can facilitate the mountainous water resource conservation strategy for better water management, especially irrigation water supply and for alleviating land subsidence in downstream areas in the future. © 2013 Springer Japan. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/448920 | ISSN: | 1611-2490 | DOI: | 10.1007/s10333-013-0391-1 | SDG/關鍵字: | Disasters; Groundwater; Irrigation; Losses; Natural resources; Neural networks; Rain; Stream flow; Surface waters; Water conservation; Water management; Water quality; Water supply; Watersheds; Complex nonlinear system; Ground water recharge; Groundwater development; Groundwater level variation; Irrigation water supply; Resource conservation; Surface water and groundwaters; Thiessen polygon method; Groundwater resources; artificial neural network; conservation; groundwater; irrigation; recharge; river basin; seawater; streamflow; subsidence; surface water; water management; water quality; water resource; water storage; water supply; Jhuoshuei River; Taiwan |
顯示於: | 生物環境系統工程學系 |
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