Liu et al. (2025) Microtopography Governs Tidal Inundation Frequency in the Luanhe Estuarine Salt Marsh: A Decadal Assessment Integrating Sentinel Data and UAV Photogrammetry

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Water
• Year: 2025
• Date: 2025-12-15
• Authors: Youcai Liu, Peixiang Ni, Wang Ma, Qian Zhang, Qi Hu, Ziyun Ling
• DOI: 10.3390/w17243559

Research Groups

The paper does not explicitly list specific research groups, labs, or departments involved.

Short Summary

This study investigates the fine-scale spatial variations in tidal inundation in the Luanhe Estuary, revealing a strong nonlinear relationship between Apparent Inundation Frequency and microtopographic elevation, and an overall upward trend in inundation probability from 2016 to 2025.

Objective

• To explore the physical mechanisms regulating fine-scale tidal inundation in the Luanhe Estuary, specifically addressing the influence of microtopography, which has not been fully studied.

Study Configuration

• Spatial Scale: Luanhe Estuary, focusing on fine-scale spatial variations and high-resolution mapping.
• Temporal Scale: Long-term data spanning from 2016 to 2025.

Methodology and Data

• Models used: An exponential decay model was used to describe the nonlinear relationship between Apparent Inundation Frequency (AIF) and topographic elevation (R² = 0.903).
• Data sources:
  • Long-term data from Sentinel-1 Synthetic Aperture Radar (SAR).
  • Long-term data from Sentinel-2 Multispectral Instrument (MSI).
  • High-precision microtopographic Digital Elevation Model (DEM) obtained through Unmanned Aerial Vehicle (UAV) surveys.

Main Results

• A strong nonlinear relationship exists between Apparent Inundation Frequency (AIF) and topographic elevation, best described by an exponential decay model (R² = 0.903).
• The average inundation probability in the study area showed a fluctuating but overall upward trend, increasing from 16.74% in 2016 to 29.02% in 2025, with a peak at 31.39% in 2024.
• Quantitative modeling confirmed that microtopography is the primary controlling factor for fine-scale variations in tidal inundation levels.

Contributions

• Provides a reliable integrated research framework for coastal vulnerability assessment.
• Generates high-resolution quantitative data that offers scientific support for formulating disaster mitigation and geomorphological management strategies.
• Fills a research gap by thoroughly studying the fine-scale spatial variations in tidal inundation influenced by microtopography.

Funding

The paper does not explicitly mention any specific projects, programs, or reference codes that funded this research.

Citation

@article{Liu2025Microtopography,
  author = {Liu, Youcai and Ni, Peixiang and Ma, Wang and Zhang, Qian and Hu, Qi and Ling, Ziyun},
  title = {Microtopography Governs Tidal Inundation Frequency in the Luanhe Estuarine Salt Marsh: A Decadal Assessment Integrating Sentinel Data and UAV Photogrammetry},
  journal = {Water},
  year = {2025},
  doi = {10.3390/w17243559},
  url = {https://doi.org/10.3390/w17243559}
}