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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/63286

    Title: 地層下陷多尺度時空觀測資訊整合、含水層沈陷參數推估及長期行為預測;Integrations of Spatio-Temporal Observations for Estimating Subsidence Parameters and Predicting Long-Term Subsidence Behavior
    Authors: 倪春發;張中白;董家鈞
    Contributors: 國立中央大學應用地質研究所
    Keywords: 地球科學;土木水利工程
    Date: 2012-12-01
    Issue Date: 2014-03-17 14:26:13 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 研究期間:10108~10207;The pumping-induced land subsidence generally exists in an aquifer that is created by lake or river surficial deposit processes. Such aquifer generally includes fine materials that are relatively highly compressible. Previous investigations have indicated that the long-term trend of a land subsidence area reveals the irreversible situation for the aquifer deformations even if the amount of the pump water are significantly reduced or stopped. Therefore, the effective and accurate predictions of land subsidence mechanisms are key references for future water resource managements and homeland security planning. The studies of land subsidence are multidisciplinary sciences. In addition to accurate monitoring data, the understanding of interactions between groundwater flow and soil compaction/consolidation, the detail processes of groundwater flow and subsidence simulations, and the accurate estimations of flow and compaction parameters are important factors to develop accurate and reliable technologies for land subsidence analyses. Motivated by the requirements for such key issues for land subsidence analysis, the objectives of the three-year project are (1) to quantify the accuracy of the integrated data obtained by using multiple monitoring technologies, (2) to analyze the characteristics of time series data from different monitoring systems, (3) to develop inverse models for soil compaction parameters, and (4) to apply the integrated data and the estimated parameters for simulations of a field-scale problem. This study will use Choushui River Alluvial fan to be the study area. With the well developed monitoring systems (compaction monitoring wells and groundwater monitoring network), the available subsidence data (InSAR, GPS, and leveling), and sophisticated analyzing technologies (invers model, spectral analysis, numerical subsidence models), the research team include researchers in the fields of surface deformation and soil mechanics and are expected to develop efficient procedures to integrate spatio-temporal monitoring data with multiple scales and resolutions. Additionally, the project is expected to quantify the differences of parameters and values of subsidence from different inverse models and integration strategies.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[應用地質研究所] 研究計畫

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