Exploring the multiscale structure of urban waterlogging resilience systems for adaptive policy optimisation.

ABSTRACT: Urban waterlogging resilience systems show complex scale effects and cascading dynamics. Accurately identifying their scale structure and operational order strengthens urban waterlogging resilience and upgrades disaster adaptation efficiency. Most existing studies depend on a 'macro-meso-micro' three-tier scale structure. However, their scale divisions are often constrained by data availability or administrative boundaries, neglecting the multiscale, nested characteristics of resilience systems and the alignment between crucial indicators and scale structures. Using Xiamen Island (XMI), China, as a study area, this research creates a comprehensive analytical framework that integrates multi-source data fusion, network percolation models and machine learning techniques to analyse the scale s

SUBMITTER: Wang Q 

PROVIDER: S-EPMC12756244 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature