Preprints
https://doi.org/10.5194/essd-2023-540
https://doi.org/10.5194/essd-2023-540
15 Jan 2024
 | 15 Jan 2024
Status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

SHIFT: A DEM-Based Spatial Heterogeneity Improved Mapping of Global Geomorphic Floodplains

Kaihao Zheng, Peirong Lin, and Ziyun Yin

Abstract. Floodplain is a vital part of the global riverine system. Among all the global floodplain delineation strategies empowered by remote sensing, DEM-based delineation is considered computationally efficient with relatively low uncertainties, but the parsimonious model struggles with incorporating spatial heterogeneity into the floodplain map. In this study, we propose a globally applicable thresholding scheme for DEM-based floodplain delineation to improve the representation of spatial heterogeneity. Specifically, we develop a stepwise approach to estimate the Floodplain Hydraulic Geometry (FHG) scaling parameters for 269 river basins worldwide to best respect the scaling law while approximating the spatial extent of two publicly available global flood maps derived from hydrodynamic modeling. Based on the spatially-varying FHG parameters, a ~90-m resolution global floodplain map named Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT) is delineated, which takes the hydrologically corrected MERIT-Hydro dataset as the DEM inputs and the Height Above Nearest Drainage (HAND) as the terrain attribute. Our results demonstrate that SHIFT validates well with reference maps with the overall accuracy exceeding 0.85. At the same time, it shows superior consistencies with several other datasets sourced from independent hydrodynamic modeling and DEM-based approaches. SHIFT effectively captures the global patterns of the geomorphic floodplains, with better regional details than existing data. The estimated FHG exponent exhibits a significant positive relation with the basins’ climatic aridity conditions, particularly for 34 world’s major river basins, suggesting the ability of the scaling exponents in capturing more spatial heterogeneity. SHIFT estimates global floodplain area to be 8.2 million km2, representing 5.5 % of the world's total land area, and we anticipate SHIFT available at https://zenodo.org/records/10440609 (Zheng et al., 2023) to be used to support a range of applications requiring boundary delineations of the global geomorphic floodplains.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Kaihao Zheng, Peirong Lin, and Ziyun Yin

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-540', Anonymous Referee #1, 06 Mar 2024
    • AC2: 'Reply on RC1', Kaihao Zheng, 12 Jun 2024
  • RC2: 'Comment on essd-2023-540', Anonymous Referee #2, 20 Mar 2024
    • AC1: 'Reply on RC2', Kaihao Zheng, 12 Jun 2024
  • EC1: 'Comment on essd-2023-540', Yuanzhi Yao, 31 Mar 2024
    • AC3: 'Reply on EC1', Kaihao Zheng, 13 Jun 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-540', Anonymous Referee #1, 06 Mar 2024
    • AC2: 'Reply on RC1', Kaihao Zheng, 12 Jun 2024
  • RC2: 'Comment on essd-2023-540', Anonymous Referee #2, 20 Mar 2024
    • AC1: 'Reply on RC2', Kaihao Zheng, 12 Jun 2024
  • EC1: 'Comment on essd-2023-540', Yuanzhi Yao, 31 Mar 2024
    • AC3: 'Reply on EC1', Kaihao Zheng, 13 Jun 2024
Kaihao Zheng, Peirong Lin, and Ziyun Yin
Kaihao Zheng, Peirong Lin, and Ziyun Yin

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Short summary
We develop a globally applicable thresholding scheme for DEM-based floodplain delineation, which involves a stepwise approach to estimate the Floodplain Hydraulic Geometry scaling parameters for 269 river basins that best respect the scaling law while approximating the global flood maps from hydrodynamic modeling. A ~90-m resolution global floodplain map named Spatial Heterogeneity Improved Floodplain by Terrain analysis (SHIFT) is delineated with demonstrated superiority.
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