Abstract
In the 21st century, we are deeply impacted by global warming and extremely climate change. Meanwhile, relative organizations around the world carry out disaster prevention research. Since along with the tendency to enhance disaster occurred, the number of relevant monitoring system is used along with the growth of the field of disaster prevention. However, there are several limitations in the system of conventional monitors. For example the traditional monitor system usually needs people to keep an eye on those disasters, which makes the changes of disasters cannot be passed instantly and correctly. This paper will propose a set of image algorithms for disaster analysis detection technology. Through the non-contact measurement mode, analyze information of rivers in Taiwan and extract crucial information of river surface velocity in hydrological disaster prevention. With driftwood in rivers, bubble waves, swirling waves and other changes of images, using Retinex theory and correlation with related technical principles of the application, it will overcome the interference effect of light and shadows in harsh environments. This mode can also correctly estimate instantaneous surface velocity of the river, and through experiment of several images information to verify the river surface velocity by the instrument in the same time, confirmed the development of this system has its value and reliability. It is expected to achieve effectiveness of real time information detection and automatic notification system of disaster prevention.
Highlights
In recent years, under the influence of global extreme climate change, extreme rainfall patterns and constantly changing disaster scale, making the area around Taiwan and urban district cannot achieve ideal drainage and dredging in a short time, which causes floods
In order to prevent extreme rainfall and subsequent disaster caused by the expansion of the downstream area, monitoring changes of river velocity and river flow has become one of the major natural disaster prevention tasks
River flow is mainly based on the hydrological analysis of water level, river velocity and river flow curves and calculations, but such method will cause large error to measured data when it is applied during the flood
Summary
Under the influence of global extreme climate change, extreme rainfall patterns and constantly changing disaster scale, making the area around Taiwan and urban district cannot achieve ideal drainage and dredging in a short time, which causes floods. In order to prevent extreme rainfall and subsequent disaster caused by the expansion of the downstream area, monitoring changes of river velocity and river flow has become one of the major natural disaster prevention tasks. River flow is mainly based on the hydrological analysis of water level, river velocity and river flow curves and calculations, but such method will cause large error to measured data when it is applied during the flood. The monitoring instrumentation for the velocity of water level in the flow use contact tools most, including the traditional use of helical flow meter or buoy method, which assumed that the vertical velocity distribution of river velocity to meet certain laws, such as power-law, logarithmic law and other velocity formula [1,2]
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