Abstract
With deterioration of the global climate situation, the frequency and uncertainty of typhoons are the major causes of their hazards in tropical coastal regions, both in terms of loss of life and economic damage. Heavy rainfall triggers massive landslides and devastating flash floods, which can entail tremendous damage. In typhoon-affected areas, the key issue is to estimate the disaster zone and to help ships avoid disaster areas in the sea. Existing studies on typhoon disasters are mainly based on the overall wind assessment or the route prediction of the typhoon, with less attention to the detailed impact in different regions along the route. We propose in this paper a new framework to assess regional disaster risk based on chlorophyll-a concentration inversion in seawater. To calculate the concentration of chlorophyll-a, we analyze Landsat-8 satellite images in typhoon weather and normal weather in the same area. The experiments on realistic samples show that our approach has major potential to improve safety via assessing the impact of a typhoon in different regions based on the level of chlorophyll-a concentration.
Highlights
According to an analysis of 92 typhoons in the South China Sea during 1998–2009 by Yang and Tang [1], tropical depression is the main cause of typhoon generation at sea level
Other studies have shown that low chlorophyll-a concentration usually occurs in environments with low wind speed and high sea surface temperature, whereas high chlorophyll-a concentration occurs in environments with high wind speed and lower sea surface temperature [5, 6]
7 Conclusion In our study and research in this paper, we present a strategy for alerts using a new typhoon disaster model, forming a hypothetical basis for typhoon disaster assessment according to the impact of chlorophyll-a variation in seawater
Summary
According to an analysis of 92 typhoons in the South China Sea during 1998–2009 by Yang and Tang [1], tropical depression is the main cause of typhoon generation at sea level. A cold vortex is characteristically present above the ocean environment during the period of a typhoon. Nutrients hidden in the deep ocean are brought to the upper level to cause phytoplankton bloom and to increase chlorophyll-a concentration [3, 4]. Due to different natural environments, different sea areas need the corresponding inversion model. We need to find a suitable chlorophyll-a inversion model through experimental discussions. The models we established and discussed are as follows: ChLa 1⁄4 aÂBþk ð1Þ where ChLa is the concentration of chlorophyll-a, B is the waveband we selected, and a and k are the coefficients. ChLa 1⁄4 a  ln ðBÞ þ k ð2Þ where ChLa is the concentration of chlorophyll-a, B is the waveband we selected with natural log from Eq (1), and a and k are the coefficients
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