| Summary: | 碩士 === 國立中興大學 === 水土保持學系所 === 101 === Due to the influence of climate change, occurrence frequency of extreme weather shows an increasing trend. Taiwan is vulnerable to several natural disasters such as landslide, floods, debris flow, and earthquake. Rainfall and/or earthquake could easily induced landslides and trigger debris flow, which threaten the safety of properties and human beings rapidly. How to predict disasters in advance and establish disaster prevention response is crucial.
Nowadays, the debris flow observation systems are mostly adopted as the warning system to alarm the residents of downstream area to evacuate in advance while encountering the disaster of debris flow. The devices current used, such as wire sensor, geosound sensor, and infrared cameras are classified as the post-event type sensor, which only has a shorter response time, and can just hardly satisfy the requirement which people expect from precaution system. To predict disasters earlier and increase response time, the runoff hydrograph will be applied for early warning systems in this study.
The references of related previous studies and the currently used debris flow observation systems are collected and explored to compare with the warning system established using runoff hydrograph model which is applied in Chishan River catchment Nan Feng Bridge with dynamic rainfall - runoff model. The results show that the model can be applied as a debris flow event prediction and warning system. The system developed in this study has been improved for a longer response time by integrating traditional observation system and runoff hydrograph warning systems and can provide to the references of related authorities.
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