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Runoff Estimation in Ungauged Watershed and Sensitivity Analysis According to the Soil Characteristics: Case Study of the Saint Blaise Vallon in France

Author

Listed:
  • Gue-Tae Park

    (Department of Civil & Environmental Engineering, Incheon National University, Incheon 22012, Korea)

  • Song-Hee An

    (Department of Civil & Environmental Engineering, Incheon National University, Incheon 22012, Korea)

  • Dong-Woo Jang

    (Department of Civil & Environmental Engineering, Incheon National University, Incheon 22012, Korea)

Abstract

Water Resources Research announced that, as a result of global warming, the amount of extreme torrential rain globally has increased steadily since the middle of the last century. To cope effectively with climate change, it is important to use consistent and scientific water information of water resources. In this study, we use a hydrological analysis of the Saint Blaise Vallon area to indicate how the damage from natural disasters that may come in the future may be minimized. In addition, a hydrological analysis and a numerical simulation model were implemented to estimate runoff and runoff coefficients derived from a heavy rainfall event that caused serious damage to river flooding. A runoff sensitivity analysis was conducted according to the soil parameters. In particular, a method using the hydrological model and the hydrological sensitivity analysis were applied to the target watershed, and the results of the peak outlet discharge were analyzed in time series so that they could be used for flood prediction and disaster management. In addition, the flood discharge and runoff coefficients during the flooding of the target watershed were presented through the study.

Suggested Citation

  • Gue-Tae Park & Song-Hee An & Dong-Woo Jang, 2022. "Runoff Estimation in Ungauged Watershed and Sensitivity Analysis According to the Soil Characteristics: Case Study of the Saint Blaise Vallon in France," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9848-:d:884225
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