Risk Identification of River Dredging Project for Knowledge Management System Design

• Main Authors: Ying-Chen Chiu, 邱瀅蓁
• Other Authors: Jui-Sheng Chou
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/d585me

碩士 === 國立臺灣科技大學 === 營建工程系 === 107 === Owing to the influence of climate and geology, a river has the characteristics of strong upstream erosion and rapid downstream accumulation. Dredging is one of the methods most commonly adopted by the Taiwan Water Resources Agency to ensure the smooth flow of rivers and the ability to discharge water to protect the lives and property of people. However, the quantity of dredging projects is large, and involves a huge number of stakeholders, leading to high uncertainty in the implementation of the project. The Water Resources Agency also lacks relevant risk management methods and countermeasures. In order to enhance the risk management energy of dredging engineers, this study visits 10 River Management Office across the country, collects knowledge and experience in dredging engineering with expert meeting and science methods, and works with the Water Resources Agency to develop six major risk categories for dredging projects covering 30 risks. An Analytic Hierarchy Process Questionnaire (AHP) constructed using Risk Breakdown Structure (RBS), and a Risk Impact/Frequency Analysis Questionnaire (RIFA) constructed using the Important/Performance Analysis Method (IPA), are answered by 69 engineers with experience in river dredging. Finally, key risk factors are identified and ranked by combining the questionnaire and interview results, , providing engineers with risk management for the future. Additionally, research results indicate that the engineering management experience in the Water Resources Agency is mostly word of mouth, with no effective and systematic knowledge management method. Therefore, a “Dredging Engeneering Knowledge Base” is created in MySQL from 170 risk events and solutions for various dredging projects, and a GUI system is built in Python, to enable the Water Resources Agency to save the engineering experience systematically in a systematic manner for future reference.