![]() They should work together to tell people where and when disaster outbreak in advance. So it is unreasonable to separate temporal forecasting with spatial forecasting. But in fact, early warning should give forecasting information as much as possible, better including both spot and time. In the first place, temporal forecasting, spatial forecasting and developing of early warning system are considered as the three portions of the research system of flash flood early warning. The framework for China flash flood early warning research Drawing lessons from the past, which is the main objective of this chapter, would provide effective references for engineering practice and outline the future prospects.Ģ. Against this background, it is essential to get an overall review of China research about flash flood early warning in the past years. Since then flash flood early warning draws wide attention of China scholars. To cope with this, the government of China draws up a guidance, prevention in the first place and integrating prevention with control, non-engineering measure as the main and combining it with engineering measures. Īs flash floods are distributed extensively and its influence sphere highly concentrated, it is unreasonable and uneconomical to prevent flash flood disasters mainly via engineering measures. Thus, flash flood disasters become one of the most life-threatening water disasters in China. The casualties of flash flood disasters are continually mounting those years. The increase of heavy rain leads to the increase of flash floods. Over the past years, the increase of extreme rainfall in China is generally attributed to the global climate change. That often causes flash flood disasters, threatening villagers’ life and restricting economic development of mountain areas. As China is located in East Asian monsoon region, severe rainfall occurs frequently here. Flash floods usually rise up and down sharply, with high velocity and cause great losses. ![]() In China, flash floods are defined as floods which break out in mountain environments where villagers intensively inhabit, especially occurred in small watershed under 100 km 2. In addition, the suggestions for future study are presented. This chapter presents the Chinese achievements in analysis methods for long-term warning, computational methods for real-time warning indicators, improving data sources used for real-time warnings and the information construction of real-time warning systems. In this frame, flash flood early warning is classified into long-term warning and real-time warning. ![]() Based on the literature research, a systematic framework for Chinese flash flood early warning research has been developed. ![]() Then, China starts exploring about flash flood early warning, which is optimal for developing country with dense populations, since the 1990s. As flash floods are distributed extensively and its influence sphere highly concentrated, it is unreasonable and uneconomical to prevent flash flood disasters mainly via engineering measures. As about 67% of the terrestrial part of the whole country is mountain area with frequent heavy rainfall, China suffers from flash flood disasters throughout its history. Along with global climate change, extreme rainfall causes severe flash flood disasters, especially in mountainous areas.
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