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氣候變遷情境下曾文水庫集水區水文乾旱特性推估

Hydrological Drought in Tseng-Wen Reservoir Basin under Climate Change Scenarios

摘要


本研究針對豐、枯時期降雨嚴重不均的曾文水庫集水區,探討氣候變遷對水文乾旱的衝擊影響。未來氣候變遷情境資料採用聯合國氣候變遷組織(Intergovernmental Pane on Climate Change)第四次評估報告中六個全球環流模式(general circulation model, GCM)的推估氣候場,經空間降尺度(singular value decomposition法)與時間降尺度(氣候繁衍模式)轉換後得到集水區的未來情境雨量,再藉由水文模式模擬未來情境下的集水區流量,接著探討氣候變遷下水文乾旱及低流量特性的變化情形。本研究之主要結果如下:(1)整體而言,未來情境雨量在豐水期爲增加,在枯水期爲有增有減:(2)未來情境流量在3至9月爲增加,其他月份爲些微減少;(3)以不同超越機率的流量值來代表低流量特性,結果顯示未來低流量可能趨於減少;(4)未來氣候變遷情境下的水文乾旱雖然更爲頻繁,但乾旱規模可能加劇也可能減緩,即變異幅度加大;(5)未來情境水文乾旱發生及結束的時間可能提前;(6)不同全球環流模式下的變化趨勢並不一致,未來水文乾旱及低流量特性的變異仍具不確定性。

並列摘要


The study area, Tseng-Wen Reservoir basin, receives temporally uneven precipitation and is thus a basin prone to suffer droughts. This study investigated the hydrologic droughts and low flow properties in the Tseng-Wen Reservoir basin under climate change scenarios. Projected climate change data were originally the large-scale climate fields output from six general circulation models in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Those large-scale climate change data were then transformed into local-scale precipitation data over the study basin by a two-stage statistical downscaling method, consisting of a spatial downscaling method using the singular value decomposition method and a temporal downscaling method using a weather generator. The modified HBV (Hydrologiska Byråns Vattenbalansavdelning) model was used to simulate the projected streamflow under climate change scenarios. Hydrological droughts were then identified pertaining to streamflow series by the threshold method, and drought and low how properties were analyzed. The following summarizes important findings in this study: (1) Projected precipitation increases in the wet season, and either increases or decreases in the dry season pertaining to different months. (2) Projected streamflow increases during March to September, but decreases otherwise. (3) Projected low flow tends to decrease. (4) Scenario droughts may become more frequent, but their duration and magnitude may become more diverse than the baseline droughts. (5) The times of start and end of scenario droughts may occur earlier than baseline droughts. (6) Different trends of changes in hydrologic droughts were found under different general circulation models, thus uncertainties from general circulation models and other sources, e.g. downscaling process, should be taken into account.

被引用紀錄


洪哲縺(2015)。應用自主性演算法與適應性模糊推論系統評估未來降雨趨勢〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201500920
胡鈞甯(2014)。非線性主成分分析結合神經網路之氣候變遷統計降尺度模式〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201400984
莊家閔(2012)。氣候變遷統計降尺度不確定性分析之研究〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201200904
簡志耿(2015)。氣候變遷對臺灣水力發電的影響〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://doi.org/10.6346/NPUST.2015.00041
陳珮琦(2017)。氣候變遷與土地利用變遷對水文服務的影響-以大屯溪流域為例〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201603527

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