Typhoon Early Warning Modeling for Regional Disaster Evaluation

Wu, Di; Huang, Mengxing; Bhatti, Uzair Aslam; Li, Zelong; Zhang, Haojing

doi:10.1109/es.2017.12

Cited by 1 publication

(4 citation statements)

References 7 publications

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“…The inversion of chlorophyll-a content was carried out according to the formulas of Chl-a Linear Inversion Algorithm, Chl-a Logarithmic Inversion Algorithm, and Chl-a Polynomial Inversion Algorithm. Figures 11,12,and 13 show the distribution of chlorophyll-a concentration in the study area. According to the distribution histograms, we find that the concentration of chlorophyll-a is mainly concentrated in 0-9 (μg/L) and is in a reasonable range [22].…”

Section: Results and Discussion 6 Chlorophyll-a Concentrationmentioning

confidence: 99%

“…It is more effective to set up the optimal combination with multiple independent variables to predict and estimate dependent variables than to use one independent variable. The regression model is constructed with the chlorophyll-a concentration change rate, typhoon intensity, and typhoon speed, which come from the experiment with the data from the South China Sea by Shao [12].…”

Section: Model For Typhoon Regressionmentioning

confidence: 99%

“…The parameters are taken into Eq. (12), and then, we get the typhoon wind speed equation as follows:…”

Section: Chlorophyll-a Typhoon Modelmentioning

confidence: 99%

“…By using satellite data, we propose a new strategy and method to analyze the concentration of chlorophyll-a in seawater, which is calculated by chlorophyll-a inversion operation with Landsat-8 sensing data. According to the regular change of chlorophyll-a concentration in seawater during typhoon weather [10,11], we propose a new typhoon disaster model named Chlorophyll-a Typhoon Model (CTM), based on the regression model correlating chlorophyll-a concentration growth rate with tropical cyclone intensity and moving speed, by Shao [12]. In particular, CTM has the following advantages: First, there is no need to measure wind speed directly on the sea surface.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Strategy for assessment of disaster risk using typhoon hazards modeling based on chlorophyll-a content of seawater

Wu¹,

Huang²,

Bhatti³

et al. 2018

J Wireless Com Network

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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.

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Section: Results and Discussion 6 Chlorophyll-a Concentrationmentioning

confidence: 99%

Section: Model For Typhoon Regressionmentioning

confidence: 99%

“…The parameters are taken into Eq. (12), and then, we get the typhoon wind speed equation as follows:…”

Section: Chlorophyll-a Typhoon Modelmentioning

confidence: 99%