博碩士論文 106626005 完整後設資料紀錄

DC 欄位 語言
DC.contributor水文與海洋科學研究所zh_TW
DC.creator陳觀印zh_TW
DC.creatorKuan-Yin Chenen_US
dc.date.accessioned2019-7-26T07:39:07Z
dc.date.available2019-7-26T07:39:07Z
dc.date.issued2019
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=106626005
dc.contributor.department水文與海洋科學研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract潛熱、可感熱和碳通量是大氣和陸域生態系間重要的水氣、熱和碳交互作用,但往往因為儀器故障或觀測條件不佳而導致資料品質缺失,以渦流相關法計算的陸表通量資料,遺失率往往高達50-60%不等,通量資料大量遺失對於區域水文收支、能量收支和碳收支的長期計算會有極大的誤差。先前研究(陳奕穎,2012)已經利用主成分分析法和多元回歸式發展潛熱通量補遺方法,本研究使用類似的架構發展蓮華池通量觀測資料補遺方法,主要改進在加入能量閉合率和摩擦風速來預先篩選品質較好的通量資料以建立缺補模式,並使用主成分分析法解析影響通量資料變異之微氣象資料主成分,再將這些主成分與通量資料建立多元回歸關係式來建立通量缺補模式。 分析蓮華池長期通量資料在水文收支部分,即使是較乾燥的季節或年份,森林有蒸發散量並未有太大差異,仍可有效運用土壤水分。在能量平衡部分,渦流相關法所觀測的潛熱與可感熱在小時尺度約達可用能量的0.79-1.0,所發展之通量缺補技術在能量閉合度有不錯表現,在年尺度、乾季、溼季的Bowen Ratio分別為 0.87、1.19、0.64,在碳收支部分,透過資料補遺後的二氧化碳通量,發現於颱風事件時,颱風導致樹木或葉子掉落,使其光合作用的能力降低,而落葉被微生物分解產生二氧化碳,使得森林白天的碳匯能力下降。 zh_TW
dc.description.abstractData gaps in flux measurements are continuous challenges in flux communities. Robust and consistent gap-filling techniques are essential to the integrated synthesis among different sites. In our previous studies (Chen et al., 2012), a gap-filling model for eddy covariance latent heat (LE) fluxes was developed by integrating the principal component analysis (PCA) and a nonlinear interpolation approach for resolving the multi-collinearity relationships between environmental variables measured by low frequencies instruments and LE fluxes estimated with high frequencies data. Several strategies, such as using a friction velocity as a threshold for data QC/QA or selecting different environmental variables for building the PCA model, have been tested to improve the skill of the PCA gap-filling model built. In this study, the range of Energy Closure Fraction (ECF) was proposed as an essential and effective threshold on building the PCA gap-filling model for EC fluxes. The range of ECF values between 0.5 and 1.5 was used as thresholds after conventional QC/QA procedures to select EC data. Also, temperature differences between canopy and atmosphere were used to replace the LAI, used in the previous study, as one of the environmental variables in view of resolving interactions between H fluxes and LE fluxes. After PCA gap-filling model, the results of energy balance could prove the PCA gap-filling model was successful. In water budget part, it shows that the forest has strong water ability. The forest could effectively use soil water. It didn’t find the drought even when the precipitation is greatly reduced. In the carbon budget part, this study will discuss the carbon flux in the wet season. Through the complete carbon flux, it’s found that typhoon will cause to reduce the carbon sink capacity of the forest. en_US
DC.subject渦流相關法zh_TW
DC.subject主成分分析法zh_TW
DC.subject潛熱通量zh_TW
DC.subject顯熱通量zh_TW
DC.subject二氧化碳通量zh_TW
DC.subject通量資料補遺zh_TW
DC.subjecteddy covarianceen_US
DC.subjectprincipal component analysisen_US
DC.subjectlatent heat fluxen_US
DC.subjectsensible heat fluxen_US
DC.subjectcarbon dioxideen_US
DC.title發展渦流相關法之潛熱與二氧化碳通量補遺技術zh_TW
dc.language.isozh-TWzh-TW
DC.titleDeveloping Gap Filling Techniques for Latent Heat and Carbon Fluxes Measured by the Eddy Covariance Methoden_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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