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Updated: Nov 29, 2025

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
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Key coastal landscape patterns for reducing flood vulnerability.

Min Kim1, Kihwan Song1, Jinhyung Chon2

  • 1Department of Environmental Science & Ecological Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea.

The Science of the Total Environment
|November 24, 2020
PubMed
Summary
This summary is machine-generated.

Coastal landscape patterns significantly influence flood vulnerability. Understanding these patterns, like shape and subdivision, is crucial for developing resilient green infrastructure and effective flood risk management strategies.

Keywords:
Coastal green infrastructureFuzzy overlay analysisLandscape metricsResilienceSpatial statistics

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Area of Science:

  • Environmental Science
  • Geospatial Analysis
  • Urban Planning

Background:

  • Coastal areas face increasing flood risks due to climate change and urbanization.
  • Green infrastructure is vital for enhancing coastal resilience but requires tailored planning.
  • Understanding landscape patterns is key to optimizing green infrastructure for flood mitigation.

Purpose of the Study:

  • To identify key coastal landscape patterns influencing flood vulnerability.
  • To support the development of resilience strategies for coastal green infrastructure.
  • To link landscape metrics to flood risk assessment for informed planning.

Main Methods:

  • Assessed flood vulnerability using exposure (precipitation), sensitivity (elevation, slope, soil, drainage, density), and adaptability (urban land-use).
  • Employed multivariate regression analysis to investigate the impact of landscape patterns (shape index, subdivision index) on flood vulnerability.
  • Analyzed various landscape metrics at regional and local scales, including contiguity, division, fractal dimension, and circumscribing circle indices.

Main Results:

  • Identified specific coastal landscape patterns that significantly affect flood vulnerability across different subregions.
  • Determined that landscape pattern indices, such as shape and subdivision, are critical determinants of flood risk.
  • Provided region-specific landscape pattern recommendations for green infrastructure planning.

Conclusions:

  • Coastal green infrastructure planning must integrate an understanding of landscape patterns for effective flood resilience.
  • Tailored strategies based on identified landscape patterns can enhance the performance of green infrastructure in mitigating flood impacts.
  • This study provides a framework for using landscape pattern analysis in coastal flood risk management.