延續第一年研究成果，本年度研究主要針對山區道路邊坡災害防治三項主要課題進行深入探討。於研發適合國內區域性道路邊坡崩塌監測預警自動化系統課題，研究團隊將比較人工監測與自動化監測系統之差異，並彙整分析各種系統之適用性與使用限制，提出邊坡崩塌監測預警之最適方案之評估與規劃準則。於持續道路邊坡現地崩塌事件蒐集彙整、建置與分析工作，研究團隊計畫對省道臺18、臺21、臺8等山區道路進行資料彙整，並持續擴充系統分析功能與強化已蒐集之資料分析與應用，提供道路邊坡崩塌判定和預警基準值研擬之使用。而相關資料的彙整，也將結合雨量觀測資料，進行道路邊坡致災因子（雨量）空間分析，期能提升以雨量監測研判道路崩塌潛勢之效能。本期研究成果與效益有：1.整合研發適合國內區域性道路邊坡崩塌監測預警自動化系統，提升預警效率。2.充實道路邊坡管理系統之資料並改寫系統使適用於網路作業，藉以提高系統之實用性。3.持續道路邊坡現地崩塌事件蒐集彙整、建置與分析。而本研究研發建立之管理系統可提供給公路局及相關單位在山區道路坡地災害防治之參考與應用，提昇臺灣山區道路之維護管理效能與防災技術，同時本計畫之執行經驗及成果可做為本所後續相關研究之基礎。
To continue the first year research project, three major topics are proposed: First, the research team switch manual monitoring and warning systems into automatic operation. The optimal solution is proposed to the development and design of an automatic highway slope warning system based on practicability and restriction. Second, continuing efforts (collect data of provincial highway No. 18, 21 and 8, etc. mountain roads) are made to further expand the slope management system both in data amount and functions of analysis tools. Last, a spatial model of rainfall is hopefully proposed to help predict highway slope failures. This research is hoped to improve the hazard management of highway slopes. The results and benefits are expected to: 1. Integrate the development of early-warning system automation to monitor local area roadside slope collapses, and promote its efficiency. 2. Enrich the data of a roadside slope management system and reprogram the system to be applicable to the Internet to raise the functions of the system. 3. Keeping on a roadside slope collapses data collection, establishment and analysis. And the management system can provide references and applications of the disaster prevention of the roadside slope collapses for the Highway Bureau and the parties which may be concerned with promoting disaster prevention techniques for the maintenance management of mountain area road in Taiwan. In the meantime, this studies and results can be used for follow-up related research.

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