Interpretable Machine Learning Reveals Topographic Dominance and Shifting Population Exposure to China's Floods Under Climate Change

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Authors: Zhengwu Yuan, Yuxiao Lin, Pinglang Kou, Qinchuan Gu, Xinchan Li, Nuoran Zou, Meijing Chen, Jiaqi Guo, Zhao Jin
Cited by: 0

Abstract

This repository contains data and code to support the research on China's flood susceptibility and population exposure from the current period to 2100.

Fields of Study & Subjects

Flood Risk Assessment and Management Coastal and Marine Dynamics Landslides and related hazards

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN
Document type
Dataset