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    • Development and Application of Portable Flood Sensor
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    • HIM model can rapidly forecast flood depths for urban areas
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    • Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
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    • Development and Application of Portable Flood Sensor
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    • HIM model can rapidly forecast flood depths for urban areas
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    • Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
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  • Sensors
    • Development and Application of Portable Flood Sensor
  • Models
    • HIM model can rapidly forecast flood depths for urban areas
  • Risk Assessment
    • Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
  • Contact Us
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    • Development and Application of Portable Flood Sensor
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    • HIM model can rapidly forecast flood depths for urban areas
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    • Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model
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Think Lab

快拆式淹水感測器之開發與應用(ECOMSNet)
是以短延時強降雨為目標,期望降低都市受災的影響,進行具有邊際運算技術能力、方便安裝,與低廉維運成本之感測器開發。在創新分散式淹水預警系統架構下,感測器可快速從點的觀測推估到面之淹水預測。
混合型快速淹水模型發展(HIM)
整合細胞自動機(Cellular Automata)、數值高程模型開發(Digitial Elevation Model)以及一維下水道St. Venant控制方程式之都市快速淹水模式。
結合衛星影像快速評估淹水範圍與深度
透過Google Earth Engine(GEE)擷取衛星影像並判斷淹水範圍,接著使用 自行開發之SPM-GEE模式估計範圍內之淹水深度
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Typhoon Rainfall Prediction in Taiwan under Climate Change Scenarios: Application of a Two-Stage Bayesian Regression Model

April 30, 2026

Typhoons are natural disasters capable of causing severe destruction worldwide, while simultaneously serving as crucial sources of freshwater. Taking Taiwan

HIM model can rapidly forecast flood depths for urban areas

July 30, 2024

Fish pond early warning system for cold snaps

July 30, 2024

Bayesian-based flood damage assessment

July 30, 2024

Use satellite imagery to estimate inundation depths

July 29, 2024

Changes in flood risk and contingency strategies at different construction stages

July 29, 2024

Development and Application of Portable Flood Sensor

September 1, 2023

Publication

1

應用Google Earth Engine與FwDET-GEE產生淹水地圖-以台南市、嘉義縣及屏東縣為例
August 2, 2024・土木水利學刊

2

Develop a Bottom-Up Flood Early Warning System: A Community Perspective
August 2, 2024・2023 ICICE

3

A Rapid Flood Inundation Model for Urban Flood Analyses
August 2, 2024・Methods X

4

Development of an edge computing-based sensory network to mitigate the impact of natural disasters in pond aquaculture
August 2, 2024・2023 GSsympo

5

未來氣候變遷條件下之漁業損失與調適措施成效
August 2, 2024・土木水利

About THINKLAB

By integrating different fields, we are exploring a wider range of applications in water resources engineering, hydraulic engineering, and even disaster mitigation and prevention.

Researches

  • Models
  • Sensor
  • Risk Assessment
  • Models
  • Sensor
  • Risk Assessment

Latest

應用Google Earth Engine與FwDET-GEE產生淹水地圖-以台南市、嘉義縣及屏東縣為例

Develop a Bottom-Up Flood Early Warning System: A Community Perspective

A Rapid Flood Inundation Model for Urban Flood Analyses

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