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A global distributed basin morphometric dataset.

Xinyi Shen1, Emmanouil N Anagnostou1, Yiwen Mei1

  • 1Department of Civil &Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269-3037, USA.

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|January 6, 2017
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Summary
This summary is machine-generated.

This study introduces the first global dataset of basin morphometry, crucial for understanding hydrologic hazards like floods and landslides. This resource aids in land-atmosphere studies and sustainable water management.

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Area of Science:

  • Earth and Environmental Sciences
  • Hydrology
  • Geomorphology

Background:

  • Basin morphometry is essential for predicting hydrologic hazards such as floods and landslides.
  • Existing datasets lack comprehensive global coverage and high resolution.
  • Understanding basin characteristics is key to effective water resource management.

Purpose of the Study:

  • To present the first comprehensive global dataset of distributed basin morphometry at 30 arc seconds resolution.
  • To provide formulas for deriving additional morphometric variables from a prime set.
  • To facilitate improved modeling of land-atmosphere interactions, floods, and droughts.

Main Methods:

  • Development of a global dataset of basin morphometry using high-resolution (30 arc seconds) data.
  • Inclusion of nine primary morphometric variables.
  • Formulation of methods to generate 21 additional variables through combinations of the prime variables.

Main Results:

  • A novel, high-resolution global dataset of basin morphometry is now available.
  • The dataset includes nine fundamental morphometric variables and methods for deriving 21 more.
  • The dataset's accuracy was validated by successfully replicating Hack's law.

Conclusions:

  • The new global basin morphometry dataset is a valuable resource for hydrologic hazard assessment and water management.
  • It supports advanced research in land-atmosphere interactions and flood/drought modeling.
  • This dataset advances the understanding and prediction of hydrological processes worldwide.