基於整合地表地下水模式之伏流水通量評估 – 以台灣屏東平原地下水集水區為例;ASSESSMENT OF FLUXES EVOLUTION BASED ON THE COUPLED SURFACE WATER AND GROUNDWATER FLOW MODEL IN A CASE STUDY OF PINGTUNG PLAIN GROUNDWATER BASIN, TAIWAN

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Title:	基於整合地表地下水模式之伏流水通量評估 – 以台灣屏東平原地下水集水區為例;ASSESSMENT OF FLUXES EVOLUTION BASED ON THE COUPLED SURFACE WATER AND GROUNDWATER FLOW MODEL IN A CASE STUDY OF PINGTUNG PLAIN GROUNDWATER BASIN, TAIWAN
Authors:	陳國勇;Dung, Tran Quoc
Contributors:	應用地質研究所
Keywords:	GSFLOW;地表地下水交互作用;數值模式;人工湖;水收支;伏流水;潛勢;AHP;蒙地卡羅模擬;不確定性分析;GSFLOW;surface water and groundwater interaction;numerical model;artificial lake;water budgets;interflow potential;AHP;Monte Carlo simulation;uncertainty
Date:	2022-09-27
Issue Date:	2022-10-04 12:22:33 (UTC+8)
Publisher:	國立中央大學
Abstract:	對於水資源管理評估中，土地利用型態及人為活動為量化地表地下水交互作用(SGIs)之關鍵。本研究利用地表地下水流模式(the groundwater and surface water flow :GSFLOW) 量化屏東平原地下水區(PPGB)之SGIs動態，其中特別針對伏流水進行評估，其在河川基流量構成中扮演關鍵之角色，並對於近地表水循環有極大影響。本研究工作著重評估高屏溪下游伏流水潛勢並嘗試量化其量體。本研究亦使用基於物理模型的數值模式量化水循環在空間及季節變化，其受到複雜的河貌型態及人為活動所影響。此外，伏流水潛勢係透過修正之指數疊加模型分析，其計算層次分析法 (AHP) 所採用因子的評分和權重進行分析。藉由GSFLOW模式進行量化伏流水潛勢，透過蒙地卡羅模擬評估降雨導致之伏流水潛勢不確定性。校正模型與地下水監測網以及河川水位觀測站之資料有良好的一致性。流域尺度之水收支顯示高度不均勻之降雨行為，屏東平原80%降雨來自濕季。因高滲透率之地表沈積物，年平均地表逕流及入滲分別為總降雨量之57% 以及40%，因地表坡度較高導致70%地表逕流轉為河川流量，而伏流水主導近河床之水流交互作用。乾濕季節之伏流水差異可達200%，地下水補注相較於伏流水補注幾乎微不足道，地刷水補注河川流量約10%。屏東平原人為抽水行為對於地下水位變動相較於土地利用型態有顯著之影響。於模型中，預計興建之人工湖因面積小，對於當地之水收支影響較小，顯示人工補注湖對於地表水循環影響不顯著。在伏流水潛勢評估中，高潛勢地區分布在高屏溪中高海拔地帶，GSFLOW模式模擬結果與修正之指數疊加模型分析有一致之結果，平均伏流水率在高海拔區域為3.5 x 104 m3/d，在沿海區域為2.0 x 104 m3/d。地下水超抽行為對於評估高屏溪地表地下水交互作用有顯著之影響，降雨不確定性高度影響濕季之伏流水潛勢，而在乾季，伏流水潛勢則非常穩定，顯示研究區域之伏流水為可靠之水源來源。;The landforms and human activities are essential in quantifying surface water and groundwater interactions (SGIs) for water resources management. The study uses the groundwater and surface water flow (GSFLOW) model to quantify SGIs of Pingtung Plain groundwater basin (PPGB) dynamics in southern Taiwan. One of the particular estimation fluxes of SGIs is interflow, a vital flow contributing to the river. It directly affects the near-surface water cycles for water resource management. Focused on assessing the interflow potential and quantifying it in southern Taiwan downstream along the Kaoping River is also considered. Specifically, a physical-based numerical model to quantify the spatial and seasonal variations of water cycles influenced by complex fluvial landform conditions and human activities is used for the study issues. Additionally, the potential interflow is first based on the modified index-overlay model, which calculates the ratings and weightings of the selected factors employed by the analytical hierarchy process (AHP). The groundwater and surface water flow (GSFLOW) numerical model is then used to connect the index-overlay model for quantifying the interflow potential for practical applications. The study uses Monte Carlo simulations to assess the influence of rainfall-induced variations on the interflow uncertainty in the study area. The results of model calibrations agree with the data obtained from the available groundwater monitoring network and the observed stream stations. The basin-scale water budgets show highly nonuniform precipitation, and over 80% of annual rainfall is from wet seasons in the PPGB. With high permeable surficial deposits, the year-averaged surface runoff and infiltration are approximately 57% and 40% of total precipitations. The high slope fluvial landforms lead to 70% of annual surface runoff that can become streamflow, and an interflow dominates water interactions near streambeds. More than 200% of the interflow rate compares wet and dry seasons. The net groundwater discharge is relatively tiny compared to interflows. About 10% of the net groundwater discharge flows to rivers. In the PPGB, the pumping variations induced on groundwater levels are insignificant compared to natural landform factors. The relatively small area of the proposed artificial lake on the model makes its contribution to the local water budgets insignificant, indicating the low impacts of the artificial recharge lake on the surface water environment. In the interflow potentiality estimations, the high potential zones distribute in the high to middle altitude areas along the Kaoping River. The GSFLOW numerical simulations show the interflow variation patterns similar to potential interflow results obtained from the index-overlay model. The average interflow rates are approximately 3.5 x 104 (m3/d) in high altitude zones and 2.0 x 104 (m3/d) near the coastal zones. Issues of extra-pumping are significant for the assessment of surface water and groundwater interactions in Kaoping River. The rainfall uncertainty strongly influences interflow rates in wet seasons, especially during storm peaks or heavy rainfall events. Interflow rates are relatively stable in dry seasons, indicating that interflow is a reliable flow in the study area.
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