自動化後處理解算大規模崩塌GNSS位移及其精度研究

台灣位於歐亞大陸板塊與菲律賓海板塊交界上，屬於環太平洋火山地震帶，劇烈的板塊活動使台灣擁有百分之七十以上的面積為山坡地，同時台灣位處副熱帶季風氣候區，夏、秋兩季豐沛的降雨以及颱風的侵襲，山坡地時常發生崩塌、土石流與地滑等坡地災害。由於多數崩塌區域地處偏遠，傳統監測方式需到現地進行觀測，因交通不便且資源匱乏，傳統監測方式不僅耗費大量時間與人力成本，資料蒐集的完整度與精度也面臨考驗。現今隨著技術的進步以及無線網路覆蓋率的提升，無線量測儀器與方法一一被開發以及實際應用，除了有效地減少前往現地蒐集資料的時間與人力成本，同時提升資料的精度與即時性。本研究透過全球衛星導航系統(GNSS)，運用RTKLIB開源軟體進行後處理靜態定位解算。本研究以廬山為研究區域，廬山位於南投縣仁愛鄉精英村，歷年來發生多次因降雨而導致邊坡的滑動。本研究於廬山地區架設五處衛星接收站，現地衛星原始觀測資料透過無線網路回傳至使用者電腦，取得即時衛星資料，然而這些資料仍然仰賴人工的方式進行解算與分析，解算與分析的流程因具高度重複的性質，本研究利用自行開發之自動化程式以實現後處理解算，嘗試降低在資料處理上的時間與人力成本，有效提升取得坐標位置資料的即時性與正確性。

關鍵字

RTKLIB ； GPS ；自動化；邊坡監測

並列摘要

Taiwan is located between the Eurasian Plate and the Philippine Sea Plate where belongs to the Circum- Pacific seismic zone. Therefore, Taiwan has more than 70% of the mountainous area. At the same time, Taiwan is located in the subtropical monsoon climate zone. With abundant rainfall in the summer and autumn and the invasion of typhoons, slope disasters such as landslides and debris flows often occur in the mountainous area. Because most of the landslides are hard to access, traditional monitoring methods need to be observed on-site. Due to inconvenient transportation and lack of resources, conventional monitoring methods consume a lot of time and labor costs and face challenges in the integrity and accuracy of data collection. With the advancement of technology and the improvement of wireless network coverage, wireless measurement instruments and methods have been developed and practically applied. In addition to effectively reducing the time and labor cost of collecting data on-site, it also improves data accuracy and allows real-time. This research uses the global navigation satellite system (GNSS). It uses RTKLIB open-source software to perform post-processing static positioning solutions. This study uses Lu-Shan as the research area. Lu-Shan is located in Ren-ai Township, Nantou County. Over the years, there have been many displacements caused by rainfall. In this study, five satellite receiving stations were set up in the Lu-shan. The original observation data of on-site satellites were transmitted back to the computer through the wireless network to obtain real-time satellite data. However, these data still rely on manual methods for calculation and analysis. Due to the highly repetitive nature of the analysis process, this research uses a self-developed automated program to achieve post-processing, reduce the time and labor costs in data processing, and effectively improve the real-time and correctness of obtaining coordinate location data.

並列關鍵字

RTKLIB ； GPS ； Automation ； Slope Monitor

參考文獻

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